For any business, be it small or large, you can imagine the difficulty in keeping track of day-to-day business activities like expenses, profits, investments, etc. manually in a notebook. It’s a human tendency to miss or forget something to write everything accurately or end up doing wrong calculations manually. However, for any business, it is very important to be accurate in these day-to-day accounting activities. The Tally software offers a powerful solution for all these hassles. The word Tally itself means a continuous count of something. This blog is about Tally training advantages, career prospects, and leading Tally training institutes in India.
What is Tally?
Tally is a very famous and successful accounting software widely used in India for day-to-day accounting business activities. The software name, Tally, is an acronym for Transactions Allowed in Linear Line Yard.
Tally Solutions Pvt Ltd is an Indian multinational technology company that provides this Enterprise Resources Planning (ERP) software. Millions of small as well medium scale businesses across India use this business management software. Tally software provides the following business management assistance:
Accounting
Finance
Inventory
Sales
Purchase
Point of sales
Manufacturing, costing, job costing, and payrolls management
Compliance capabilities for excise, Tax Deducted at Source (TDS), Tax Collected at Source (TCS), and now Goods and Services Tax (GST), too
Tally.ERP 9 is a widely popular version whereas TallyPrime is the latest version of Tally.
Why Tally for a Career?
Tally is the best option for those who want to pursue a career in the field of accounting. Further, most of the multinational companies (MNCs) in India use the Tally software for managing business accounts. Having proficiency in this software will be a valuable addition while applying for jobs in MNCs or while managing your own business efficiently if you have any.
Tally Training: Eligibility Criteria and Duration
Learning Tally software is best suitable for candidates who are already in or want to enter the fields of finance, accounts, business, and business management. However, students should fulfill the following eligibility criteria:
One must have 10+2 passing or equivalent qualifications with a minimum of 50% marks
One should preferably have a commerce background, although anyone with other backgrounds is eligible, too
Anyone having a bachelor’s degree can also choose the Tally training program for a boost in careers
Basic knowledge of accounting and management is preferred
A Tally course can be completed in 1-4 months whereas a diploma in tally needs 1-2 years to complete. The duration of tally training certification and diploma differs from institute to institute. Tally training can be done online as well as offline mode.
Jobs Options After Tally Training
Once you have completed professional courses like tally, a plethora of jobs opens doors to make successful career opportunities in most multinational corporate companies, banking sectors, and everywhere else where there is a need to manage accounting and finance. Some of these job roles are enlisted below:
1. Tally Operator
For this role, obviously one must have Tally proficiency. The role of a Tally operator is to verify and tally payments received from customers, execute Tally clerical functions to accounts and sales department, make entries on the Tally for every purchase, and sale, managing the receipt and payment section of the organization.
2. Tally Accountant
It mainly deals with maintaining account records, handling cash, preparing bills and receipts, and requests for payments in Tally. Tally accountants must be proficient with all types of service taxes like TDS, TCS, professional tax, etc.
3. Tally Data Entry
Their responsibilities include receiving and processing all invoices, verifying and tallying all payments, stock maintenance, Tally backup and synching, and maintaining records of received and debited money in the Tally.
4. Tally Audit Executive
They are responsible for supervising money going in and out of the organization and keeping its records in Tally. They mainly deal with collating, checking, and analyzing Tally data, and examining company accounts and other financial systems.
5. Tally Financial Analyst
It mainly studies business and financial data in Tally. They involve in developing financial models based on analyzed data, helping companies in financial policymaking. They study and analyze the financial trends of the company and accordingly give recommendations to the company.
6. Tally Account Manager
It involves calculating taxes and returns and maintaining their timelines. They prepare monthly financial close processes, and accurate financial statements in Tally, analyze financial discrepancies and other issues that should be reported, and reconcile balance sheet accounts.
7. Inventory Manager
It deals with simplifying stock management, organizing inventories batchwise and lots, warehouse management, manufacturing, and preparing and delivering online reports accurately. With the help of Tally software, the inventory manager ensures sufficient stocking, avoids overstocking, and reduces the handling costs of products.
8. Tally Freelancers
Tally freelancing is a relatively newly emerged career option after completion of Tally training. In this context, freelancing is instead of serving only one company, one can provide different accounting services to multiple customers simultaneously. If someone is expert in Tally services and passionate about teaching also, he/she can combine freelancing Tally services with guiding students about the Tally software.
Top Recruiters
After completion of a certification course in Tally or a diploma in tally, the following multinational corporate companies are the top recruiters for the different job roles discussed above. The list of some of the top recruiters is:
IBM India
Accenture
Reliance Industries
Deloitte
Genpact
KPMG (Klynveld Peat Marwick Goerdeler)
BDO International (Binder, Dijker and Otte)
SS Kothari Mehta & Co.
Smith and Williamson
Ernst and Young
Tally Job Roles and Salary Ranges
After completion of the Tally certification course, salaries vary with certification type, job role, recruiting company, and experience. The following table gives a rough idea about the salary ranges for different jobs after completion of the Tally training.
In India, short-term (1-4 months) Tally training is available in almost every part of the country. In addition to this, long-term (1-2 years) Tally diploma course options are also available.
1. National Institute of Information Technology NIIT (Multiple locations)
NIIT is an education-oriented organization offering courses in various fields like software & technology, data science, marketing, banking & finance, etc. Its headquarter is in Gurgaon, India. However, NIIT has countrywide centers offering these courses. It offers two short-term Tally courses namely: Accounting with Tally.ERP 9 and Working with Tally.ERP 9 Level 1.
Accounting with Tally.ERP 9
Course Curriculum:
Creating Documents Using Microsoft Office Word
Managing Data Using Microsoft Office Excel
Accounting with Tally.ERP 9
Mode: Classroom
Duration: 36 hours of Video lectures
Certification: Students earning minimum credentials will receive a certificate with the name “Certificate Programme in Accounting with Tally.ERP9”.
Eligibility Criteria:
Any graduate or undergraduate willing to enter the field of accounting
Basic computer knowledge
Ability to understand basic English
Preferably with a commerce background
Highlights of the Course:
After completing this course, students will be able to manage his/her own day-to-day financial tasks like financial analysis and report-making.
Veteran industrial experts for teaching
Working with Tally.ERP 9 Level 1
Course Curriculum:
Business Process Fundamentals
Basic Accounting and Inventory with Tally.ERP 9
Advanced Accounting, Inventory, and VAT with Tally.ERP 9
Mode: Classroom
Duration: Videos of 108 hours
Certification: Students successfully completing the course with minimum or more credentials will receive the graded certificated, and the rest of the students will receive a participation certificate.
Eligibility Criteria:
Commerce graduate
Basic English communications
Basics of Windows and computer
Highlights of the Course:
Veteran industrial experts for teaching
Building a strong foundation of Tally.ERP 9
2. Tally Academy
Tally Academy by Tally Solutions, a designer of Tally software, offers six different certifications in Tally. It doesn’t provide course training. However, a minimum of 75% of profile completion enables access to its free study materials and mock tests.
Tally Academy’s Certifications in Tally:
Tally Academy Certified Accountant
One exam: Accounting in TallyPrime
Fee: INR 900
Tally Academy Certified GST Master
One exam: GST in Tally Prime
Fee: INR 900
Tally Academy Certified TDS Master
One exam: Tax Deducted at Source in Tally Prime
Fee: INR 900
Tally Academy Certified Payroll Executive
One exam: Payroll in Tally Prime
Fee: INR 900
Tally Academy Certified Professional
Four exams
Certified Accountant
GST Master
TDS Master
Payroll Master
Fee: INR 3600
Tally Academy Certified Taxation Master
Two exams:
GST Master
TDS Master
Fee: INR 1800
Mode: Online
Duration: At your learning pace
Eligibility Criteria: Open to all categories.
3. Udemy
Udemy is a globally popular learning platform that enables learning literally anything with various course options. Udemy provides a lot of Tally courses paid as well as free. Below are two of the most popular Tally courses from the best reviews.
Tally ERP 9, Tally Prime, and GST 2022 Certificate Course
Created by K.R. Gupta and R. Gupta
This is a complete Tally course ERP 9 and Tally Prime with Advanced GST Course.
Course Curriculum:
Accounting GST in Tally ERP9 & Tally Prime
Manual Accounting to Advanced GST Reports in Tally ERP9 & Tally Prime
GST Calculations & Reports in Tally ERP9 & Tally Prime
Payroll with PF, ESI, EPF, and Statutory Payment in Tally ERP9 & Tally Prime
TDS Calculations & its Reports
Accounting Manufacturing Firm
Printing of Cheque
Reconciliation of Bank
Goods Transport Agency (GTA)
Reverse Charge Mechanism (RCM )
Composition Scheme of GST
Reviewing GSTR1, GSTR2, GSTR3B, and GSTR4
Availing of Input GST Credit
Import & Export Entries in GST
e-way Billing
Backup & Restore of data
Creating MIS Reports, BRS on Managerial Level
Setting GST at Company Level, Stock Group Level, Stock Item Level, Ledger Level
Import and Export Entries Export Exemption Entries in Tally
Sales to SEZ in Tally
Different Entries Effects on GST Reports
Mode: Online
Duration: 16 hours of on-demand videos
Fee: INR 3999
Certification: This course provides a certificate of completion.
Eligibility Criteria: Basic computer knowledge
Highlights of the Course:
Full lifetime access
Access on mobile and TV
Tally ERP9, Tally Prime, GST, Income Tax, TDS, and MS Excel
Created by Urs Ravi, Vedanta Educational Academy
Course Curriculum:
Basics of Commerce
Fundamentals of Accounting
All Levels of Tally ERP9
Full Course Tally Prime
GST & GST Portal Concepts
Slabs of Income Tax
MS Excel Basics to Professional Levels
Filing of ITR1 & ITR4
Introduction, Slabs, Forms, Returns, Filing to TDS
Mode: Online
Duration: 47.5 hours of on-demand videos
Fee: INR 1299
Certification: This course provides a certificate of completion.
Eligibility Criteria: This course is designed for all categories.
Highlights of the Course:
18 Downloadable resources
2 Practice tests
Full lifetime access
Access on mobile and TV
Assignments, Quizzes, Practical tests
4. MKCL Klic Course
Maharashtra Knowledge Corporation Limited MKCL is a state government educational organization. It provides many courses in IT, finance, and digital marketing. It provides Klic Tally Prime pro with a GST course under their Klic brand.
Course Curriculum:
Introduction Accounting
Company Creation
Maintaining Data of Company
Features of Tally Software
Management of Menu
Masters Creation
Invoicing, GST Reports
Mode: Classroom or online
Duration: 2 months
Fee: INR 5000 for students all over India. INR 6000 for students from Maharashtra, including INR 1000 for the job offer fee.
Certification: MKCL provides a completion certificate. Yashwantrao Chavan Maharashtra Open University (YCMOU) provides a mark sheet after passing the course exam.
Eligibility Criteria:
Preferably 10th Passed student (Not Compulsory)
Desirable to have done the MS-CIT Course (Not Compulsory)
Highlights of the Course:
It provides 100% placement assistance with 3 interviews
It is a globally popular online education platform for learning various subjects. You can buy its subscription and get access to its courses. You may have to pay an additional fee for certification. Also, you can buy some special courses by paying separate fees.
Coursera offers a Tally Bookkeeper Professional Certificate course. This course is offered by Tally Education Private Limited (TEPL), a group company and an education initiative of Tally Solutions. Tally Solutions is a designer company of Tally software.
It Offers Three Certification Courses in Tally.
Fundamentals of Accounting and Reporting
This course is ideal for those wishing to start a career in bookkeeping.
Course Curriculum:
Accounting Fundamentals
TallyPrime: integrated business management software
Create, and maintain accounts
Record and maintain transactions of accounting
Describe & manage: banking payments
Generation and analysis of financial statements
Provide security control to protect data
Backup, and restore company data
Eligibility Criteria: No prior bookkeeping knowledge is required. Aptitude in working with numbers is recommended.
Principles of Accounts Payable and Receivable Management
This course will build bookkeeping knowledge and skills based on the first two courses.
Course Curriculum:
Classification of inventory
Management of accounts receivable and accounts payable
Management of purchase and sales orders
Tracking purchasing costs
Manage cost and profits
Budgets using TallyPrime
Generating reports
Eligibility Criteria: Competition of the first course or equivalent skills and knowledge.
Basics of Statutory Compliance and Taxation
This course will build bookkeeping knowledge and skills based on the two courses.
Course Curriculum:
Application of the concept of goods and services tax (GST)
Configuration of tax deducted as source (TDS)
Business data management
Data across companies’ management
Eligibility Criteria: Competition of the first two courses or equivalent skills and knowledge.
Mode: All three courses are online.
Duration: You can learn from the videos at your pace.
Fee: Coursera subscription fee. A 7-day free trial of Coursera is also available.
Certification: Each course provides a separate completion certificate.
Highlights of the Course:
Financial aid by Tally Solutions is available
6. Skillshare
It is an online learning platform where people can learn about numerous topics. Its headquarter is in New York, USA. You have to get paid membership of Skillshare. Till your membership is valid, you can access any course on Skillshare. There are two Tally training courses on Skillshare, and one of them is in Hindi.
Tally Prime Basic to Advance Training 2022
By Saad Nadeem
Course Curriculum:
Accounting bills and loans
Transferring account information from physical notes to Tally
Reconciliation of Bank
Settlement of GST, reimbursement of payment, shipping companies
Customization of the sales invoice number format
Mode: Online
Duration: 4 hours 53 minutes
Fee: Skillshare membership fee
Certification: No
Eligibility Criteria: It is open to all categories.
Highlights of the Course: It provides around 40 hands-on class projects like
Tally Prime Installation on Laptop
Creating New Company
Learn Short keys in Tally
Wage Payments in Tally
Dealing the Credit Sales In Tally Prime
Handling the Purchase Returns in Tally
Dealing the Rent Income
Tally ERP 9 with GST Accounts Basics in Hindi
By Hemendar Singh Rajpurohit
This Tally training course is in Hindi.
Duration: 3 hours 21 minutes lectures
7. National Institute of Electronics & Information Technology NIEIT (Multiple locations)
NIEIT is an autonomous educational institute under the administrative control of the Government of India. It has 47 centers across India and it provides educational courses at 700 institutes across India.
It provides the Tally ERP 9 course.
Course Curriculum:
Concept, tools, and techniques of accounting in Tally
Accounting
Keeping records of transactions
Generate and print reports & invoices
Mode: Classroom
Duration: 2 months, 2 hours per day
Certification: Course completion certificate by NIEIT, Kohima
Eligibility Criteria: 10+2 Passing
Highlights of the Course: You can search for the nearby center of NIEIT at your location.
8. Disha Computer Institute (Multiple locations)
Disha Computer Institute is a leading institute in IT education and other associated skills. It was started in Pune, Maharashtra and now has expanded to 45 centers across Maharashtra. It provides Tally ERP 9.0 course.
Course Curriculum:
Tally ERP 9
Basics of Accounting
Inventory management
Import & Export information
B.R.S.
Service Tax
Value Added Tax
Mode: Classroom
Duration: 2 months
Fee: INR 12000
Certification: It provides a course completion certificate.
Highlights of the Course:
They maintain a ratio number of students to teachers low, which enables personal attention to every student.
They arrange to visit lectures by highly experienced senior experts.
They have excellent learning resources like a library, printing accessories, the internet, and important cutting-edge software.
It is an Indian academic platform that offers job-oriented certification online courses on trending technologies. Its Tally Online Training course can be a great choice for those looking to enter the field of accounting.
Course Curriculum:
Accounting Basics
Tally ERP 9 Fundamentals
Accounting masters, Inventory masters, Voucher entries in Tally ERP 9
Advanced accounting and advanced Inventory in Tally ERP 9
Taxes with Tally ERP 9
Technological advantages of Tally ERP 9
Payroll accounting with Tally ERP 9
Report Generating with Tally ERP 9
Mode: Online
Duration: 30+ hours course duration
Certification: It provides a globally recognized course completion certificate.
Eligibility Criteria: This course is designed for all categories.
Highlights of the Course:
100% Job-oriented training
Free demo session
Dedicated placement cell with 92% placements record
10. CA Club India
It is a platform where CAs, CSs, ICWAs, and students can interact about updates and advancements on various issues in finance. It provides three Tally-related certification courses.
Accounting and Tally Prime course
Course Curriculum:
Fundamentals of Accounting
Introduction, Downloading, and Installation of Tally Prime
Shifting Tally ERP 9 Data to Tally Prime
Making Accounts Charts
Create Inventory Masters
Record Accounting Vouchers in Tally Prime
MIS Reports in Tally Prime
Enabling and Recording GST Transactions in Tally Prime
Enabling and Recording TDS Transactions
Activating and Exceeding the Credit Limit
Cost Cost Categories
Storing and Classification of Inventory
Manufacturing Process with help of Bill of Materials
Backup & Restore Company Data
Export-Import Data
Security control
Enabling and Recording Advanced GST Transactions
Duration: 30 hours of video, course expiration after 4 months
Fee: INR 2999
Highlights of the Course:
It comes along with the e-book
It is available in Hindi and English
Certificate: Course completion e-certificate by CAClubIndia
Tally with Tax Course
Course Curriculum:
GST Registration and Cancellation
E- Way Bill Preparation and Cancellation
TDS all sections and Filing of TDS Returns
Filing GST Returns
Examples of Practical Bills
Duration: 45 hours video duration. 6 months or unlimited watch time.
Certificate: Course completion e-certificate by CAClubIndia
Tally ERP 9 (GST Enabled)
Course Curriculum:
Accounting Fundamentals
Maintain Chart of Accounts in Tally ERP 9
Maintain Stock Keeping Units
Keep records of Dailly Transactions in Tally ERP 9
Management of Accounts Receivable and Payable
Making MIS Reports
Get Acquainted with GST
Record Vouchers with TDS
Eligibility: This course is open to all categories.
Duration: 20 hours of video. 3 months or 50 hours of watching, whichever is earlier.
Fee: INR 1999
Highlights of the Course: This course is in Hindi.
Certificate: Course completion e-certificate by CAClubIndia
FAQs
1. Can someone with an Arts background apply for the Tally course? Is learning Tally software hard for someone with no commerce background?
Anyone from an Arts background can opt for Tally training. Basic prerequisite concepts for it can be self-studied using books, blogs, and videos. Further, this software’s makeup is also quite simple to understand.
2. Is there any scope for government jobs after completing the Tally program?
Yes, there is quite a scope in government jobs after completing tally training. The scope can be quite less in the government sector as compared to the corporate sector. However, a few Tally clerk positions open every year.
3. Can I learn Tally on my own for my business?
Yes, you can download and purchase Tally software from the Tally website. After its installation and creating a company in it, enter your company details, turn auto-backup on, choose your currency, set the dates and year, and get started.
4. Is the tally software free?
Tally software is not entirely free. However, you can download it from the Tally website and download its 30-day trial version for free use.
5. Can I use Tally for teaching my students?
Yes, you can use Tally software in Educational Mode. It enables you to learn how to use the software without purchasing any license. However, some features are not available in Educational Mode.
Conclusion
Tally is a promising course in India and is best suitable for those who want to pursue a career in accounting, finance, and for one’s own business. There are numerous options available in India to learn Tally. Tally expertise will certainly boost your career path with great rewards. I hope you will find this information helpful for your bright future.
The concept of business analysis was first introduced in the late 1800s. With the newer technological inventions, it started to get evolved much faster. Nowadays powerful tools like artificial intelligence (AI), machine learning, and other techniques have made business analytics much more sophisticated. Business analysis has proven smart and scientific way leading to growing and profitable businesses. Hence the scope for business analytics has rocketed worldwide and of course in Malaysia. This article is about the basics of business analytics and the top 10 business analytics courses in Malaysia.
What is Business Analytics?
When businesses are being run over a long period, they generate a large set of data regarding their policies, investments, loans, revenue, profit-loss, etc. By analyzing this data using different statistical models and quantitative methods, it is possible to make sense of this historical business data.
A business analyst is a professional person who involves in analyzing this data to identify the trends in the past and predict the outcomes in the present and accordingly suggest intelligent business strategies and policies for the future.
Harvariness School Professor Jad Busn Hammond, who teaches the Business Analytics course, once said in his interview, “If you are attending a business meeting and other people there have opinions, but you have data to support your arguments and your recommendations, you will be influential ”. So business analysis plays a vital role in the success and growth of any business.
What is the Difference between Business Analytics and Data Analytics?
Before we dive further into information about this topic, let’s understand the difference between the terms Data Analytics and Business Analytics which may sound similar. Both of them deal with the data but the difference is in how they use it.
Data analytics study the raw business data and clean it. They decide the usefulness of this raw data using algorithms, computer programming, and other deep techniques. Whereas, business analysts make sense of this analyzed data to study the trends and predict future business trends. They mainly involve in the conceptual level of analysis. They also assist the authorities in strategic policy making of business for profit and other positive factors.
Career Options After Business Analytics Courses in Malaysia
Businesses take their datasets as their assets. Hence businesses rely on the experts working on this data to survive in market competition, increase revenue, and implement safe & strategic policies. Therefore, nowadays, business analytics courses in Malaysia are in high demand and will gain high importance in the future as well. Here are the top career opportunities after completion of the business analytics courses in Malaysia.
Business Analyst
Job Description:
To understand the process of business and business objectives.
To understand business problems and come up with a unique and efficient solution.
To analyze clients’ needs and prioritize business requirements accordingly.
Human Resource Analyst
Job Description:
To analyze data of the human resource department in terms of employee performance, and the efficient hiring process.
To fix the staff problems.
To find better candidates from the data, motivating present employees.
Financial Analyst
Job Description:
To analyze the financial data and predict future trends
To study the profit and loss of business
To give suggestions for efficient transactions
To advise on investment policies
Supply Chain Analyst
This deals with the analysis of the supply chain of a business and takes effort to make it smooth.
Job Description:
To collect and analyze the demand-supply data.
To analyze the trends.
To manage the supply chain operation.
To analyze inventory data.
Marketing Analyst
Job Description:
To analyze the marketing data of their products and services.
To forecast sales from new marketing campaigns.
To give insights to retain old customers, gain new customers, and improve the business revenue.
Data Analyst
Job Description:
To collect and analyze the data using different tools.
To use statistical models and quantitative techniques for data analysis.
Prepare reports and present them.
To manage databases.
Data Scientist
Job Description:
To study the big chunk of raw data of business using algorithms, machine learning, deep learning, and artificial intelligence techniques.
To analyze, filter, and clear the structured and unstructured business data.
To draw meaningful insights from the structured and unstructured data after its analysis.
Job Roles After Business Analytics Courses in Malaysia and Their Salary Ranges
Salary of different jobs after completing the business analytics courses in Malaysia change with experience, recruiting company, and skills. However, to get a rough idea, here is the table stating the range of salaries for different job roles in business analytics.
Job Role
Salary Range per Month
Business Analyst
4,200 RM – 6,750 RM
Human Resource Analyst
2,060 RM – 6,050 RM
Financial Analyst
3,800 RM – 5,400 RM
Supply Chain Analyst
6,750 RM – 9,250 RM
Marketing Analyst
2,500 RM – 5,300 RM
Data Analyst
3,400 RM – 5,300 RM
Data Scientist
5,850 RM – 8,350 RM
*RM: Malaysian Ringgit is the Malaysian Currency
Who Should do Business Analytics Courses in Malaysia?
Business analysis is a data-driven improvement of a business. It is a combination of business management and analysis using technology. Hence whoever has a great interest in working with big data, who is tech-savvy and capable in analysis, can opt for business analytics courses in Malaysia.
Any graduate with a science, computer science, or commerce background is recommended for these business analytics courses in Malaysia. However, any graduate from other educational experiences can also take up these business analytics courses in Malaysia and enter this flourishing field.
Top Recruiters in Business Analytics in Malaysia
As business analysis is becoming an inevitable part of any business for its growth, profit, revenue increment, and survival in market competition, a plethora of jobs for business analysis in many IT and non-IT sectors are available in Malaysia and worldwide.
And this number is going to rise exponentially in near future. There are numerous companies in Malaysia mostly near Kuala, Lumpur City recruit for different job roles in business analytics. Here is the list of some of the top recruiters in business analytics in Malaysia:
Accenture
IBM
Shopee
Shell
Juris Technologies
Petronas
Deloitte
NXP Semiconductors
PwC
Hilti Group
CBRE
Tata Consultancy Services TCS
Maybank
Standard Chartered Bank
Schlumberger
Experian, etc.
Top 10 Business Analytics Courses in Malaysia
Business analytics is an emerging field in Malaysia and is believed to be thriving with job opportunities at present and in the near future also. There are numerous universities and institutes that offer business analytics courses in Malaysia. Along with the local universities, there are several online global platforms as well, where one can study business analytics courses in Malaysia from anywhere across the globe. Here is the list of the top 10 business analytics courses in Malaysia.
1. Bachelor of Business Analytics (Hons) at Sunway University
Location: Sunway City, Malaysia
Sunway University is a non-profit private university in Malaysia. Although it is relatively a new university, in 2022, it is ranked by Quacquarelli Symonds (QS) World University Rankings among the top 150 top universities in the under-50-year-old category. It is situated at Sunway University, near Kuala Lumpur. It offers bachelor’s and master’s programs in business analytics.
Duration: 3 years (Full Time)
Mode: Classroom
Tuition Fees: RM 35,297 per year
Eligibility:
For any local or foreign student, the minimum Malaysian qualification minimum CGPA is 2.00 out of 4.00 or the equivalent foreign qualification
English Proficiency tests
Passing in mathematics
Course Curriculum:
Knowledge and applied skills in the big data processing
Business analytics tools and techniques
Analytical and critical thinking skills development
Highlights of the course:
Lancaster University, a public university in the United Kingdom also validates this degree.
Upon degree completion, graduates will get two certificates, one from Sunway University and other from the Lancaster University
2. Master of Business Analytics by Sunway University
Location: Sunway City, Malaysia
Duration: 1 year (full-time)
Mode: Classroom
Eligibility:
Bachelor’s Degree Equivalent to Malaysian Standards with Minimum Grades Equivalent of 2.50 out of 4.00
Business Analytics and Visualisation Advanced Studies
Highlights of the course:
This degree provides fundamental skills and cutting-edge technology knowledge that will be useful to develop critical thinking skills required for business analytics.
3. Business Intelligence and Analytics Course by Universiti Teknologi Malaysia
Location: It has three campuses in different places in Malaysia namely Johor Bahru, Johor, Kuala Lumpur, and Pagoh Johor.
It is a premier public university in Malaysia that offers several courses in science, technology, and engineering. In 2021, it is ranked 13 among the top 50 under 50 years old universities by QS World University Rankings.
Duration: 2 years full-time
Mode: On-campus
Tuition Fee: MR 50,450 per year for international students
Eligibility:
Honors degree from this university or other equivalent degree from a recognized institute or university with a minimum CGPA of 3.00 out of 4.00
Minimum English requirement for international students
Course Curriculum:
Governance of Data
Business Statistics in Data Science
Business Intelligence
Data Mining in Business Analytics
Advanced Techniques in Enterprise Information Systems
Management of Strategic Business
Cloud Computing in Big Data Analytics
Data Visualization
Highlights of the Course: The course has 7 credits for two research projects.
4. Bachelor of Business Analytics (Hons) by HELP University
Location: Subang, Malaysia
HELP University is one of the top private universities in Malaysia. It has received several recognition awards from the Malaysian government, and private global companies, as well. It emphasizes providing quality education on numerous subjects at the bachelor’s and master’s levels.
Duration: 3 Years
Mode: On-campus
Tuition Fee: MR 63,300 Total Course Fee
Eligibility: Minimum CGPA of 2.00 out of 4.00 in matriculation or diploma or equivalent qualification
Course Curriculum:
Elements of Finance and Accounting
Introduction to Programming and Database System
Microeconomics Principles
Business Information Technology
Business Law
Management Principles
Marketing Principles
Statistics of Business
Mathematics
Business Analytics and Information Systems
Descriptive Business Analytics
Predictive Business Analytics
Prescriptive Business Analytics
Advanced Database Systems
Business Research Techniques
Decision-Making Business Analytics
Advanced Business Statistics
Human Resource Analytics
Marketing Analytics
Data Insights and Visualisations
Economic Analytics
Highlights of the Course:
It has internships and links with the following industries:
5. Business Intelligence and Data Analytics by the International Islamic University of Malaysia
It is a leading Malaysian university offering quality education in a range of different disciplines.
Location:Kuala Lumpur, Malaysia
Duration: 2 years full-time
Mode: On-campus
Tuition Fee: RM 32,000 for national students and RM 47,700 for international students.
Eligibility:
A bachelor’s degree with a minimum CGPA of 2.75 out of 4 or equivalent qualification
English requirements: minimum IELTS score of 5, minimum TOEFL score of 60
Course Curriculum:
Introduction to scholarly contributions in the field of Business Intelligence and Analytics.
Application of analytical methods and strategies of big data to advanced data analysis and visualizations.
Understand issues and complexities in business
Learn intellectual property, integrity, data security, privacy, and professional code of business
Learn quantitative modeling and data analysis techniques to solve business problems
Advanced statistical tools and data programming techniques to solve problems in data analysis.
6. Business Analytics Course by the University of Sains Malaysia
It is the leading university in Malaysia and offers undergraduate and postgraduate programs in subjects like natural and applied sciences, medical and paramedical sciences, social sciences, humanities, engineering, etc.
Location: It has five campuses in different places with the main campus at Minden, Penang, Malaysia.
Duration:
1-year full time
2 years part-time
Mode: On-campus
Eligibility:
Bachelor’s degree in management or other relevant qualification
Minimum CGPA of 2.75 out of 4
If less than a CGPA of 2.75, meet other criteria of the requirement of research/work experience
Minimum English requirements
Tuition Fee: MR 18,060 for national students
MR 27,800 for international students
Course Curriculum:
Introduction to Analytics Edge
Introduction to Advances in Digital Technology
Insights in Management
Statistics Techniques for Business Analytics
Data Programming in Business Analytics
Predictive Analytics in Business Analytics
Visualization and Data Storytelling
Highlights of Course: This course is available full-time and part-time as well.
7. Coursera: Business Analytics Specialization
By the University of Pennsylvania
Instructors: the Wharton School Professors
Coursera is a popular US-based online education provider company. Its headquarter is in New York, USA. It offers a lot of courses on literally any topic you want to learn. It works with around 150 universities and organizations across the world and offers around 4000 courses.
It provides a lot of courses on business analytics offered by different universities and institutes. However, we have listed the top two courses on business analytics by Coursera.
Duration: 5-6 months
Mode: Online
Eligibility: This is open to all categories. This is for those who are interested in learning how decisions should be taken using big data.
Certification: It provides a certificate after completing the course and a hands-on project.
Tuition Fee: $ 79
It offers five courses in this specialization. It is recommended to follow the order for continuity. It is okay to complete a single course and gain the respective certificate. These courses are as follows:
Customer Analytics
Course Curriculum:
Popular methods of customer data collection and their help to make business decisions
Tools to predict customer behavior and techniques to use them appropriately
Key ideas regarding customer analytics and their use in decision making
History of customer analytics techniques used by major firms
Operations Analytics
Course Curriculum:
Model future demand uncertainties
Predict outcomes of competing policy choices
Choose the best action to face the risk
People Analytics
Course Curriculum:
How to manage people at work based on deep data analysis
How to make soft-skill decisions regarding hiring and talent development
How to use deep data for people-related issues like recruiting, performance evaluation, leadership, hiring, job design, compensations, etc.
Accounting Analytics
Course Curriculum:
How to use data to study factors driving financial performance
How to use data to forecast the financial future
How to use data consumer behavior predictions, corporate strategy, risk management, etc.
Business Analytics Capstone
Course Curriculum:
This is a project to learn applying the knowledge learned in the previous four courses to solve the challenges faced by reputed businesses like Yahoo, Google, and Facebook.
This project is designed with Yahoo to learn the evaluation and creation of data-driven decisions.
Highlights of Course:
The course is in English whereas it has subtitles in other languages as well.
Financial aid is available for those are fitting its eligibility criteria.
8. Coursera: Business Statistics and Analysis Specialization
Offered by Rice University
Instructor: Sharad Borle
Duration: Approx. 5 months
Mode: Online
Eligibility: Anyone with any background can opt for this course.
Tuition Fee: $49
This is a series of 5 courses to master the field of business statistics and analysis.
Introduction to Data Analysis using Excel
Course Curriculum:
Introduction to Excel spreadsheet and its basic functions
Introduction to various basic excel spreadsheet functions to organize data
Introduction to excel spreadsheet functions like pivot tables, filtering, and charts
Introduction to excel spreadsheet functions like advanced graphing, and charting
Introduction to Data Descriptors and Their Application to Business Decisions
Course Curriculum:
Introduction to descriptive measures of data
Association, probability descriptive measures
Introduction to excel spreadsheet functions to calculate probability and normal distributions
Introduction to normal, binomial, and Poisson distributions
Business Applications of Hypothesis Testing and Estimation of Confidence Intervals
Course Curriculum:
Introductions to building blocks of confidence intervals
Introduction to hypothesis testing: types, guidelines, excel formulas, applications, and type I and II errors
Introduction and applications of difference-in-means hypothesis tests
Linear Regression for Business Statistics
Course Curriculum:
Build and estimate regression models using Excel
Carry out hypothesis tests using regression outputs using Excel
Dummy variable regression applications
Introduction to interaction variables, lol-log, and semi-log regression models
Business Statistics and Analysis Capstone
Course Curriculum:
This is a project to apply the skills learned in the last four courses in the real world
To pose questions those customers would ask a data analyst about the publicly available data of industry partner
To carry out statistical analysis on this publicly available data and produce reports on findings simply and understandably
Certification: It provides a certificate after completing the course and a hands-on project.
Highlights of Course:
The course is in English whereas it has subtitles in other languages as well.
Financial aid is available for those are fitting its eligibility criteria.
Udemy is a global teaching and learning platform that offers more than 213,000 courses, and 74,000 instructors teaching in more than 75 different languages. It offers several courses on business analytics. However, here is the information about the most popular business analytics course on Udemy.
Duration: 8.5 hours of on-demand videos
Mode: Online
Eligibility: This course is all about business analytics fundamentals, so no prior knowledge is required.
Tuition Fee: $48 is a regular fee, however, most of the time, they offer massive discounts also.
Certification: It provides a certificate of course completion.
Course Curriculum:
What business analyst is, what is the job role, and how do they work
Six project methodologies including Agile and Waterfall frameworks
How to create a business case according to the business objectives
Six widely used business techniques to obtain project details from stakeholders
Introduction to modeling diagrams to understand project documentation
Carry out requirement specifications like categorizing, validating, and prioritizing
Highlights of Course:
It provides 15 downloadable resources
Full lifetime access to videos
Along with English, subtitles are available in more than 10 languages
10. edX: Business Analytics for Data-Driven Decision Making
Offered by Boston University
Instructors: Prof. Byers, Dellarocas
edX is a USA-based global online education provider created by Harvard and MIT university. It provides university-level online education to worldwide students in various disciplines. It even offers some courses free of cost.
Duration: 7 weeks
Mode: Online
Eligibility: Elementary college in Statistics should be completed.
Tuition Fee:
$399 unlimited access
Free audit course with limited access
Course Curriculum:
Predictive statistical modeling and machine learning techniques
Role of these techniques in decision making
Manage analytical processes effectively and make evidence-based decisions accordingly
Highlights of Course:
Unlimited edX support
Graded assignments and exams
Certification: It provides a certificate of completion.
FAQs
Is learning business analytics courses in Malaysia hard?
Business analytics is not hard to learn. Data scientists do the most difficult part to extract meaningful data from raw data through deep and complex analysis. Business analysts work on that extracted data. A combination of a little bit of maths, a grip on some statistical tools, and logical reasoning is needed to learn business analytics courses in Malaysia.
Is programming/coding knowledge required for business analytics?
Core programming knowledge is not necessary for business analytics. However, if you know to code, it will be additional expertise that will be helpful in business analytics. Business analytics is more statistical than coding oriented.
Which tools are used for business analytics?
As business analytics is more statistical, a lot of statistical tools are being used for business analytics. While MS Excel and Tableau are fundamental business analytics tools, SAS Business Analytics, QlikView, Splunk, Sisense, Microstrategy, Knime, etc are the other widely used business analytics tools.
What is the future of the business analytics industry in Malaysia?
Artificial intelligence, machine learning, and deep learning are flourishing technologies these days. And with the help of emerging technology, the business analytics field is going to thrive with excellent job opportunities in Malaysia. So, the scope of the business analytics industry is no doubt going to increase in near future.
Conclusion
For any business, it is becoming crucial part to adopt business analytics technology because of the huge market competition. Business analytics has proven itself a smart way to a successful, sustainable business. For promising business analytics outcomes, businesses rely on good-quality data and smart expert business analysts. So anyone, with a strong desire to learn business analytics, great analytical and logical reasoning skills, and comfortable with mathematics and statistical tools, can enroll in business analytics courses in Malaysia. Having thriving job opportunities at present and tremendous scope in the future, business analytics expertise will be certainly rewardable with flying colors. I hope you will find this information helpful while making your career choices.
We take the help of data in day-to-day life while making decisions. For example, we observe and understand the trends in prices and discounts on various shopping websites. Based on those observations, we manage to shop during a certain period to save money or for better deals. Likewise, for any business, it has become vital to make data-driven decisions to achieve better results. This article consists of fundamental information about the data analytics field and top data analytics jobs available in the world.
According to the US Bureau of Labor Statistics, it is estimated that data analytics jobs and their average income to grow by 23% between 2021-2031. If you are looking to build a career in data analytics but are not sure what job roles are available in the field of data analytics, this article is for you.
What is Data Analytics?
All businesses collect data from various sources like internal systems, social media pages, etc. This data is crucial to understanding the trends in the business dynamics and helps to make policies and smart decisions for the future for a sustainable, profitable business.
Data analytics is the process of acquiring, cleaning, analyzing, and visualization of data to make data-driven decisions, instead of just by guesswork and intuitions. For example, a pharmaceutical company decides what medicines to manufacture and when to manufacture them based on the data and trends shown over the period.
Difference Between Data Analysis and Data Analytics
It is very common to use the terms data analysis and data analytics synonymously. However, there is a huge difference between these two terms. Data analysis is a part of data analytics and the related professional is known as the data analyst. Whereas, data analytics is a comprehensive term comprising all the activities that deal with data like data analysis, data science, data engineering, etc.
Types of Data Analytics
Be it data analysis, data science, or data engineering, each one has the following four key types of data analytics. To understand this section, let us take an example of the coronavirus pandemic.
Descriptive Analytics
In this, the meaning of collected data is understood. The quantitative data in the form of numbers are transformed into the descriptive analysis. It tells the company “what is happening” in the present or “what was happening” in the past.
For example: From numbers or data, initially, medical staff started to observe that certain groups of people were suffering from flu-like symptoms and the disease was spreading from person to person.
Diagnostic Analytics
From the collected data, once it is clear “what is happening”, the trends and patterns can be found. These trends and patterns are useful to understand “why is that happening” in the present or “why was that happening” in the past.
For example: Once the symptoms are known, medical personnel study the possible cause behind these infections. They diagnosed that it is a viral infection and spreads through breathing, sneezing, coughing, etc.
Based on the above two steps, predictions can be made from the data about the events that may happen soon. This type of data analytics deals with “what will happen” in the future based on descriptive and diagnostic analysis.
For example: Once it became known that COVID-19 viral infections were going on, the medicinal authorities could predict that it would affect a large chunk of the population and might be dangerous for the immunocompromised and old-aged population.
Prescriptive Analytics
Once the predictive analysis is done from the data, it becomes possible to think of and suggest future strategies, policies, etc. Well-informed decision-making has always proven intelligent and proactive steps to achieve better results.
For example: Once COVID was known to be dangerous for the immunocompromised and old-aged population, it was prescribed to stay at home and other precautions like lockdowns, vaccinations, etc. were started.
There are no fixed eligibility criteria to learn data analytics jobs. Various bachelor’s and master’s courses and degrees in data analytics are available. Generally, they are required to have prior education in relevant fields like computer science engineering, or statistics.
There is a range of certificate courses in data analytics available also. Some of them require some technical background in these relevant fields, whereas some of them do not have any fixed eligibility criteria to opt for the data analytics course.
There are a few selective skills to be effectively applied simultaneously in data analytics jobs. However, it might be difficult to learn these skills thoroughly and apply them for data analytics jobs. It is recommended to acquire beginner levels of all these essential skills and polish them during internships and entry-level jobs. Here is the list of the skills required for data analytics jobs:
Structured Query Langauge SQL
SQL is the most essential skill in data analytics. It is used to handle the databases. SQL plays an important role in organizing and updating the data. Dealing with the data using SQL is considered to be the primary yet vital step in data analytics.
However, SQL is quite an easy-to-learn language. Having hands-on experience in SQL is considered to be a must in data analytics jobs interviews.
R and Python Programming
Programming languages like R and Python are considered to be yet another essential skill for data analytics. These languages are used for cleaning, analyzing, and visualizing the analyzed data in the form of graphs, plots, etc. In the beginning, knowing at least one of these languages would serve the purpose.
It is used to build algorithms to find patterns in large datasets. It is not a must-have skill for beginners as data analysts. However, learning this skill gradually would pave an easy path toward advanced-level jobs.
Probability and Statistics
Probability and statistics from mathematics are used to identify unbiased and accurate ways of finding trends and patterns in the data.
Data Management
It is the process of acquiring, sorting, cleaning, and storing data. Having the ability to do these data management tasks is essential in the data analytics field.
Econometrics
In this, various mathematical and statistical models are used to identify future trends and patterns based on historical data. This has major relevance in the field of banking and finance. For example, when giving a loan to a customer, econometrics comes into the picture to predict whether that customer will return the money or not based on his historical data.
Statistical Visualization
After analyzing the data, it is equally important to let people understand the analyzed data. The results from the analyzed data can be represented in the form of graphs, charts, plots, maps, etc.
A wide range of tools is used in the field of data analytics for mining, cleaning, analyzing, interpreting, and visualization of the data. Here is the list of popular data analytics tools.
Microsoft Excel
R and Python
Tableau
Splunk
KNIME
Talend
RapidMiner
Microsoft Power BI
Apache Spark
Jupyter Notebook
Industries Recruiting Data Analytics Experts
Although there are a lot of data analytics jobs open across the world, there is a shortage of skilled workers in this field. Hence, companies and organizations from various fields are looking for skilled data analysts. Presently, the following industries are welcoming skilled workers in data analytics.
Finance
Banking & Securities
Entertainment
Healthcare & Pharma
Information Technolgy
Government
Education
Transportation
Manufacturers
Top Recruiters of Data Analytics
Once you are ready with all the essential skills for data analytics jobs, data analytics recruiters are waiting out there! Because of a combination of the facts of huge needs and limited availability of skilled workers in these fields, the recruiters are countless. Here is a list of some of the top recruiters in the field of data analytics.
Wipro
Flipkart
Accenture
Myntra
Citrix
Amazon
Deloitte
LinkedIn
Microsoft
IBM
Top 9 Highly Rewarding Data Analytics Jobs
Once you are equipped with the necessary data analysis skills, a plethora of jobs become open in various fields like finance, healthcare, IT, etc. Some of the jobs are entry-level whereas some are advanced-level jobs. Here is the information about the data analytics jobs roles, job descriptions, and salary range.
1. Data Analyst
The demand for data analysts is huge and going to rocket in the next decade. According to the World Economic Forum, data analysis is the number two growing job in the US. This is an entry-level job in the data analytics field.
Eligibility Criteria:
There are no fixed eligibility criteria for a data analyst. A certificate course in data analysis, a diploma or a bachelor’s degree in computer science, software engineering, or other relevant fields are the most suitable paths for data analysts.
However, people from other backgrounds can also learn the skills through various university degrees, online courses, etc., and become eligible for this job role.
Job Description:
Identify the problem: For data analysts, it is crucial part to identify the exact question and purpose before starting actual data analysis.
Collect the data: Once the question or purpose behind the data analysis is identified, data analysts collect the relevant data confined to their problem. Data analysts often acquire data from the company’s website, company’s social media platform, or sometimes buy from data-providing companies.
Clean the data: These datasets are collected in their raw form along with outliers, duplicates, and errors. Cleaning this data and drawing meaningful, relevant data is the next step. SQL is a widely used tool for handling large databases.
Analyze the data: Using various statistical and probabilistic models, data analysts analyze the cleaned data. They commonly use R and Python programming languages for this task.
Interpret the data: After the data analysis, data analysts try to find out the trends and patterns that could give the results or solutions to the originally identified question.
Visualization of data: To simplify the results and make them understandable to related people, data analysts put the results in the form of graphs, plots, maps, charts, etc. For this, they commonly use tools like Tableau, MS Excel, and Jupyter Notebook.
Average salary: According to Glassdoor, data analysts in India earn an average of$72,000 in the US and INR 4.2 Lakhs per year. It may change with experience, location, and the hiring company.
Job roles: A data analyst can have the following different job titles:
Like data analysts, data scientists are also primarily involved in finding trends and patterns in data. However, data scientists have more responsibilities and complex problem-solving as compared to data analysts. Data scientists are generally supposed to find questions or goals for the company on their own for data analysis, whereas data analysts assist the data scientists in analyzing the data on the already set questions.
Eligibility Criteria: It is preferred to have a bachelor’s or master’s degree in data science. Or one can start a career as a data analyst and take it up to a data scientist with skill enhancement. It is not an entry-level job.
People with PhDs in mathematics, statistics, and physics are also considered to be the best candidates for data scientist jobs.
Job Description:
To identify questions to be asked by an organization to achieve better results
To find trends and patterns in the databases
To build algorithms, and models using advanced machine-learning techniques
To develop predictive models to understand future trends and patterns
To upgrade the quality of the organizational data
Required Skills:
Programming languages like R, Python, SQL, SAS, etc.
Visualization skills like MS Excel, Tableau, and PowerBI
Machine Learning
Hands-on experience with software like Hadoop, Apache Spark
Average Salary: According to Glassdoor, the average salary of a data scientist is INR 10 lakhs in India and $1,21,238 in the US per annum. It may change with experience, location, and the hiring company.
3. Data Engineer
They are primarily involved in building and testing stable and sustainable systems with which data analysts and data scientists can work.
Eligibility Criteria:
Most data engineers start their careers as software engineers and then with skills and experience become data engineers. So, a bachelor’s or master’s degree in software engineering is the most suitable background for a data engineer.
A data engineer is not an entry-level job. However, with experience and expertise in data analytics skills, one can move towards this job role gradually.
Job Description:
Design and test data management systems
Maintain and update the data management systems that are already in existence
Research and remain updated for the new technologies in the market for system upgradation
Required Skills:
Programming languages like SQL, NoSQL, Java, C++, Matlab, Scala, etc.
Hands-on expertise in big data tools like Kafka, Hadoop, MongoDB, etc.
Cloud Computing
Automation and Scripting
Machine Learning
Data Security
Average Salary: According to Glassdoor, the average salary of a data engineer is INR 8.0 Lakhs in India and $1,14,525 in the USA per annum. It may change with experience, location, and the hiring company.
Looking for the best practical-oriented courses to become a professional data analyst? Check here the top-ranked:
Typically a data architect is involved in managing the infrastructure of data management systems.
Eligibility Criteria: It is not an entry-level job. A bachelor’s or master’s degree in data architecture, data engineering, software engineering, and management work the best background for a data architect job.
Job Description:
To maintain database systems considering the organization’s security
To audit and upgrade the performance of the existing data management system
To execute the solutions to store and manage the organization’s data
To plan databases for the future
Required Skills:
Python
Java
SQL
Erwin
Visio
Machine Learning
Average Salary: According to Glassdoor, the average salary of a data architect is INR 22 lakhs in India and $1,27,666 in the US per annum. It may change with experience, location, and the hiring company.
Job roles: A data architect can have the following different job titles:
Cloud Architects
Security Architects
Machine Learning Architects
5. Database Administrator
A database administrator should have strong technical knowledge of database structures and their installation procedures.
Eligibility Criteria: A bachelor’s or master’s degree in computer science or software engineering.
Job Description:
To Maintain, and track the performance of the company’s databases
To implement suggested upgrades and corrections in the existing databases
To maintain database security, integrity, stability
To keep database backup and recovery provisions
Required Tools:
Microsoft SQL Server
Oracle
IBM DB2
Average Salary: According to Glassdoor, the average salary of a data administrator is INR 7.5 lakhs in India and $97,514 in the US per annum. It may change with experience, location, and the hiring company.
6. Data Analytics Manager
Typically, a data analytics manager works with a team of data analysts and keeps track of the company’s data analytics work and overall progress.
Eligibility Criteria: A bachelor’s or master’s degree in data analytics, computer science, or in a relevant field.
Job Description:
To plan strategies for business intelligence and data analytics
To track data analytics progress
To come up with solutions to improve business data analytics
To transform raw data into useful results for deciding the company’s strategies and policies
Skills Required:
Data Analytics Skills
Management skills
Average Salary: According to Glassdoor, the average salary of a data analytics manager is INR 20 lakhs in India and $150,500 in the US per annum. It may change with experience, location, and the hiring company.
7. Statistician
A statistician is involved in working with converting numerical data and numbers into valuable results to make a company well-informed about its performance. They use various statistical models for this task.
Eligibility Criteria: A bachelor’s or master’s degree in statistics or mathematics or data analysis
Job Description:
To create and maintain databases using statistical models
To check data integrity, errors in the process of cleaning the data
To ensure the validation of the data
To visualize the data in the form of charts, plots, graphs, etc.
Skills required: Statistical programs like SAS, SPSS, R, and Stata.
Average Salary: According to Glassdoor, the average salary of a statistician is INR 5 lakhs in India and $93,700 in the US per annum. It may change with experience, location, and the hiring company.
8. Machine Learning Engineer
Machine learning is a branch of artificial intelligence. A machine learning engineer is not an entry-level job. It requires years of experience to become a machine learning engineer. A machine learning engineer is an integral part of the data science team. Data scientists make use of models developed by machine learning engineers.
Eligibility Criteria: A bachelor’s degree in computer science or software engineering for an entry-level post. A master’s degree, Ph.D. in computer science, data science, or software engineering for advanced-level posts.
Job Description:
To build and test machine learning models and algorithms for data science
To update the machine learning models and algorithms
To perform statistical analyses
Average Salary: According to Glassdoor, the average salary of a machine learning engineer is INR 8 lakhs in India and $1,36,400 in the US per annum. It may change with experience, location, and the hiring company.
9. Project Manager
Typically project managers are involved in basic data analysis to keep track of the progress, productivity, efficiency, and skills of employees. These are often management posts with the requirement of the minimum or the least data analytics knowledge.
Eligibility Criteria: A bachelor’s or master’s degree in management and knowledge of data analytics fundamentals.
Average Salary: According to Glassdoor, the average salary of a project manager is INR 15.5 lakhs in India and $91,000 in the US per annum. It may change with experience, location, and the hiring company.
FAQs
Is data analytics hard to learn?
Data analytics expertise requires mastering skills like SQL, R, python, machine learning, Tableau, etc. which can be complex and hard to excel in the beginning. However, beginner levels of these skills are quite easy to learn. One can take up beginner-level jobs and master their advanced levels over time.
How much time is required to learn data analytics?
The time required for learning data analytics depends on various factors like any prior skills you have or not, whether you are learning it full-time or part-time or on your own, etc. However, generally speaking, learning beginner-level data analytics can take up to three to six months.
Can data analysts’ jobs be done remotely?
Once you are an experienced data analyst, you can work independently from your home. However, an entry-level data analytics employee would need face-to-face support from relevant co-workers which it easier to work in the office.
Is mathematics required to learn data analytics?
Linear algebra, statistics, and probability are the fundamental pillars of data analysis. Machine learning is the backbone of data science which requires writing algorithms that require math. One doesn’t need to have a formal degree in mathematics, but one should have good hands-on linear algebra, calculus, statistics, and probability.
Is coding knowledge required for data analytics jobs?
For entry-level jobs like junior data analysts, advanced-level coding is not needed. Basic levels of SQL, R, or Python knowledge are sufficient which is straightforward to learn. However, as you grow your career toward data science and data engineering, advanced coding skills become essential.
Conclusion
These days, nearly every business collects and analyzes its data and prefers to make data-driven policies and strategies. By 2028, it is expected that about 70% of businesses and companies will hire data analysts. Hence there is a boom in data analytics jobs and the demand for data analysts is expected to rocket soon. However, there is a great shortage of skilled data analysts. If you have a strong desire and passion to learn data analytics techniques, a wide range of data analytics jobs are available with the potential for career growth.
