Looking for a career opportunity in the upcoming year? You can opt for high-paying jobs as a data scientist by learning through the best data analyst courses after graduation, which is data based job. Getting a job as a data analyst can enlarge your career in many fields.
Table of Contents:-
What is a data analyst?
Data analytics v/s data analysis
Types of data analytics
- 1- Descriptive analytics
- 2- Predictive analytics
- 3- Prescriptive analytics
- 4- Diagnostic analytics
Is data analysis a good career?
Job options in data analytics
Future scope of data analytics in India
Top recruiters for data analyst
Salary options for data analyst courses after graduation
Eligibility criteria for data analyst courses after graduation
Data analyst courses after graduation fees and duration in India
Syllabus for data analyst courses after graduation
- Machine learning
- SQL or Structured Query language
Best institute for data analyst courses in India
Frequently asked questions or FAQs on data analyst courses
What is a Data Analytics?
Let me start with an example – In the 90s, you go to a grocery store and ask for a packet of sugar, the owner reminds you that he forget to bring sugar stocks so he told you that please come back tomorrow and buy sugar. Will you go to that store again?
Okay so start with the 20s, you go to the store and ask for sugar, this time owner checks his laptop and answers you go and take it from that row in the shop, he stored all the data in his laptop and goes through these data every time. Till the 20s, human analysts are incomparable when it comes to detecting design in data. Nowadays they are still crucial when it comes to assimilating virtuous data to grasping algorithms.
Technically, Data analytics is a process of collecting all the raw data from all sources which are complex though, then organizing it after cleaning, manipulating, analyzing, and then visualizing data which are used to start your business decisions and make you sense of past and predicts future rather than guessing.
India’s data analyst businesses have expanded fleetly over the last 10 years times as a result of the country’s growing internet stoner base. By 2025, there will be over 900 million further people using the internet, which has formerly doubled since 2015.
The data gathering that might be employed to conceivably tap into different requests has significantly increased as a result of this expansion, supporting the data analytics sector. In 2021, the request for data analytics had formerly grown significantly, by 26.5 times over time, to reach US$ 45.4 billion.
Data Analytics v/s Data Analysis
Even the term “data analytics” and “data analysis” are frequently used interchangeably. Data analysis is a process of collecting, manipulating, and analyzing the raw data whereas data analytics takes the analyzed data and works in a useful and meaningful way.
Types of Data Analytics
There are four main types of data analytics which support in many ways in today’s world, described below with examples –
1- Descriptive analytics:– It simply defines what happened in the past.
Data analyst summarizes historical data from the past then create a dashboard and report their generation.
For example, a beauty products company analyzes their seasonal performance sales in the year 2022, therefore they experience an increase in sales in January, February, November, and early December.
2- Predictive analytics:- It predicts future trends and events, and simply defines what will happen in the future (forecasting).
Ex- Beauty products company sells their products maximum in January, February, November, and early December every year as from the past data therefore they predict the same trends will occur next year. We have to use many algorithms and tools like machine learning, deep learning, and AI to predict the future.
3- Prescriptive analytics:- What actions should be taken to achieve predicted results?
Prescriptive analytics suggests taking decided action and getting predictable results also an advantage to taking future opportunities and neglecting future risks.
Ex- Beauty product company takes strict decisions on sales to achieve predicted results.
4- Diagnostic analytics:- Why did it happen?
We use historical data to find an answer to every question and get solutions with the use of tools.
Ex- What if a beauty product company does not achieve its target, this will come under diagnostic analytics.
Companies also keep their discarded information otherwise data collection for an individual turn out to be very laborious.
Is Data Analysis a Good Career?
Definitely yes. Data is everywhere, about 2.5 quintillion bytes of data are produced every day and as time passes, the rate of data produced is only increasing exponentially. There is a high demand for data analysts because of the limited number of people qualified in it with impressive salaries from every domain which relies on data including food, business often called business analytics, hospital for future health, public, and banking to individualize customer interaction and many more.
To became a data analyst is not that hard but to become successful as a data analyst is tough. Your technical skills should be strong to succeed and be a good data analyst. Freshers start their job with a minimum of 5-6LPA as entry-level data analysts and with 2-3 years experience get 8+ LPA in metro cities like Delhi, Mumbai, Pune, and Banglore. Many data analysts work remotely or even internationally as a freelancer and travel wherever they want.
Job Options in Data Analytics
If you are new in this field as a data analyst then you might get a job at entry level as a junior data analyst and if you have some experience from your previous job then you will be hired as a data analyst. Do you want to work with a higher company like Facebook, or Google and want to be recognized as a data analytics?
Then you have to develop some skills before applying for a job like a python, R, data management, machine learning, Tableau, Structured Query Language or SQL, and statistical analysis. There are so many specialist job titles listed below to start your career as a data analyst –
1- Business Analyst:- Examine data related to business.
2- Management Reporting
3- Web Analyst:- Analyze data related to a page, website, or specific topic.
4- Actuary:- Responsibility for planning insurance companies by determining incidents, handicaps, and retirement rates.
5- Compensation and benefits analyst
6- Corporate strategy analyst
7- Budget Analyst
8- Healthcare analyst:- In today’s world, healthcare also relies on technology. It analyzes data related to the healthcare industry and improves decision-making.
After so many years like 7-8, many data analysts become data analyst consultants and work with not one client but a variety of different companies and provide guidance who want to improve their data analytics career.
Future Scope of Data Analytics in India
The unborn compass of data analytics in India is brilliant due to multiple reasons. A profession in data analytics is satisfying and offers a broad range of personal and professional development openings. Understanding statistical approaches, fine capability, business literacy, logical beliefs, and Data are just many of the natural bents demanded to be a Data Analytics. The capability to dissect the business environment and develop creative results is also necessary.
In India, the wide operation of Data insure a high position of employment, better stipend, and booming demand in the future. Analytics has the implicit to transfigure the current business terrain by landing a significant quantum of data, enlarging models, kindling creative processes, and promoting the overall growth and development of a company attesting why the unborn compass of data analytics in India presents bright career options.
Top Recruiters for Data Analyst
Looking for a data analytics company all over the world? We put in our efforts, research a lot, and made a list for you. Here is the list of the top 10 companies
1- Alabs.ai:- A private company in Gurugram, Haryana which was built on 2 September 2020.
2- Cartesian consulting:- Private company founded in 2009 in Mumbai, India with 200 employee size.
3- Mu Sigma analytics:- Private company founded in 2006 in Chicago with 3500+ employee size.
4- Fractal analytics:- Is a multinational company which is further founded in Mumbai in 2020 with an employee size of 1200.
5- Manthan:- Is a business intelligence and analytics company that was founded in 2004 in Bangalore, India with an employee size of 500.
6- Latent view:- Company was founded in 2006 in Chennai, Tamil Nadu with an employee size of 600.
7- Tiger Analytics:- Company that was founded in 2011 is a Chennai-based analytic company with an employee size of 500 or more.
8- Absolutdata:- Company was incorporated in 2009 in Gurgaon, Haryana with 450 employee size.
9- Convergytics Solution PVT. ltd. :- Company established in 2013 in Bengaluru, Karnataka with 60-90 employee size.
10- UST global:- Is a multinational company and global headquarters in California, USA. This company opens offices in Bengaluru, Pune, Kochi, Chennai, Thiruvananthapuram, Noida, Hosur, Coimbatore, Hyderabad, and Ahmedabad in India with an employee size of approx 30000.
Salary Options for Data Analyst Courses After Graduation
Data analysis is the highest earning profile in the IT industry. Freshers start their job with a minimum of 5-6 LPA in India and with 2-3 years experience get 8+ LPA in metro cities like Delhi, Mumbai, Pune, and Bangalore. You can earn much more if you work in US-based companies with an average annual salary of 65,000- 70,000 US dollars. If you become a data analyst consultant after 6-7 years of your data analyst career then your salary will rise to 20 lakhs.
Eligibility Criteria for Data Analyst Courses After Graduation
Want to become a data analyst after graduation –
● Complete your 10+2 in physics, chemistry, and maths from a recognized college with a minimum of 60% aggregate marks. If you take computer instead of the regional subject in your 10+2 then this will be considered a bonus for you
● You have to complete your bachelor’s degree in maths, statistics, economics, science, and computer science with a minimum of 50% marks equivalent from a recognized university.
● Some companies ask for a master’s degree in data analysis which is why you also go for post data analyst courses after graduation.
Data Analyst Courses After Graduation Fees and Duration in India
The duration of data analyst courses after 10+2 is 3 to 4 Years with fees of 3,00,000 – 10,00,000 INR. The duration of data analyst courses after graduation (post-graduate) is 2 years with fees of 30,000 – 6,00,000 INR. If you want to go for diploma or certificate courses, IT might be 5-6 months to 1-2 years in duration.
Fees– for certification courses more than 500, and for diplomas up to 50,000.
- Data Analytics Courses in India
- Data Analytics Courses in Delhi
- Data Analytics Courses in Mumbai
- Data Analytics Courses in Hyderabad
- Data Analytics Courses in Pune
Syllabus for Data Analyst Courses After Graduation
Courses must be the same but the topics may differ from institute to institute. Here are some of the topics on which you work –
Machine learning:- Machine learning is a hot topic in data analysis which is a designing tool that predicts modeling processes of structured and unstructured, and handles both. Machine Literacy is the wisdom of designing algorithms that learn on their own from data and acclimatize without mortal correction.
As we feed data to these algorithms, they make their own sense and, as a result, produce results applicable to aspects of our world as different as fraud discovery, web quests, excrescence bracket, and price vaticination.
Python:- If you want to work in this field and search for a data analytics job then this language is necessary. In python, you develop a skill that is used for cleaning data, and preparing for analysis and this language makes your CV attractive. By the end, you’ll be suitable to manage the entire analysis process from preparing data to presenting perceptivity through data visualization.
SQL or Structured Query Language:- This is a widely used database language in data analysis that is easy to learn. SQL specialist store and interpret all the data. You can learn easily if you are a beginner.
Tableau:- Tableau was founded in 2003 by 3 students Pat Hanrahan, Christian Chabot, and Chris Stolte from Stanford University. This is a data visualization tool that makes it easier for people to manage, connect and interact with data which makes it easy to create a thoughtful dashboard within 3-4 clicks.
Best Institute for Data Analyst Courses in India
Here is a list of some institutes with online facilities which are time-saving with free or paid courses. However, you can opt for many institutes with classroom facilities.
1- Google Data Analytics Capstone via Coursera:-
Google provides free 6 months of training with recorded video lectures and practice materials, and modules for data analyst courses after graduation. This course is completed within 10 hours and after you completed all the assignments, Google provides you with a certificate.
- Beginner’s course
- Trial before enrolled
- Weekly modules available
- The certificate from Google
- After completion of the course, the students have to pay Rs 1,053 for the certificate.
This is the basic course in data analysis and anyone can learn with basic maths knowledge.
Skills you learn-
- Data Cleansing
- Data Analysis
- Data Visualization (DataViz)
- Problem Solving
- Data Collection
- Data Ethics
- Sample Size Determination
Associated with CCE, IIT Madras alumni, it is a 7 monthly training, that provides paid courses for 84,000 INR with live and interactive classes which teach easy coding along with three certificates for data analyst courses after graduation. Courses consist of 16 modules, each one covering every topic related to data analysis. Intellipaat master your skills.
After completing your data analyst course from Intellipaat, you adopt the capability to solve complex problems and earn 55% of the average salary hike with lifetime class benefits.
- 50+ live and interactive sessions for 7 months.
- 218+ hours of self-learning videos
- IIT Madras alumni
- Guaranteed interviews
- 24×7 faculty support
- Portfolio building
- EMI options are not available
Skills you learn
- Data Science with R
- Logistic Regression
- Decision Trees & Random Forest
- Tableau Desktop 10
- Metadata & Data Blending
- PROC SQL
- Power BI
- Advanced Excel
UpGrad offers a Data Analytics Program in cooperation with Caltech University. This course covers each and every topic that you need to come to a great data analyst, from basics like statistical prerequisites to advanced machine learning programs. Founded by IIIT Banglore, it provides 1 year paid course for 3,00,000 INR with live classes for data analyst courses after graduation.
You can also purchase this course with an EMI of 6,736 INR per month. Their students work with many top MNCs companies with a 57% of average salary hike. Courses are designed by professionals and teach real-life industry projects.
- Python Programming
- IIIT Bangalore alumni
- Live classes
- For beginners
- Interactive sessions
- Tools knowledge and implementation
- Live projects
- Guided assignment
- Guarantee interviews
- 400+ learning hours
Skills you learn
- Problem-solving skills
- Data Toolkit
- Machine learning
- Business understanding
- Capstone project
- Gesture Recognition
- Recurrent neural networks
- Exploratory Data analysis and statistics
Frequently Asked Questions
1- Can I do a data analyst course after my BA?
The biggest misconception is that people who have science or tech-related degree become data analysts. This is not true at all. To apply for the data analyst course, all you need is your bachelor’s degree in any stream like economics, English, science, or commerce. You don’t need to have prior experience in coding or technology for this course. So go and join this course.
2- Can I become a data analyst in 3 months?
If you want then you can. Go and learn all the required skills like python/R, SQL, Tableau, machine learning, and so on. There are many paid or free data analyst courses after graduation which is searched online where you can enroll. Use your 3 months wisely, make a list and spend your time accordingly, it means 40% of the time spends on the theory part and the rest 60% on skill practice because lots of practice is required to become an expert in data analysis.
3- Is data analysis a stressful job?
Definitely not! Your degree is not enough for a data analyst, you have to learn some required skills. But sometimes you feel frustrated which is quite common like every 9-5 job. If you find yourself interested in coding, solving complex problems, and data analyzing then this job is for you. But remember don’t do this job because of high demand and handsome salary. All you need is to have some patience because here multiple trials and errors are found.
4- Is data analysis requires good math?
Not necessarily. Not every data analyst works on mathematical grounding mostly work on tools like Python, SQL, and Tableau, and learns some basic maths like algebra, calculus, and statistics but if you want to succeed in data analysis then you require a strong foundation in maths. Your success will measure based on the business value you make.
5- Can a non-technical student apply for a data analyst course?
There is a myth that you have to complete your bachelor’s in maths, statistics, or economics to become a data analyst. But this is not true, although we find it beneficial if you know these topics. In recent years we observe many data analysts from non-IT backgrounds.
6- Is data science and data analyst courses are same?
Data analytics is a process of collecting all the raw data from all sources which are complex though, then organizing it after cleaning, manipulating, analyzing, and then visualizing data which are used to start your business decisions and make you a sense of past and predict future rather than guessing. Data science is the process in which you convert numbers into meaningful data. A Data scientist transforms data into meaningful insights, it does no matter what tools you used.
Apart from being a data analyst, being a data scientist is also a good career these days. If we go 14-15 years back when the internet just come and we don’t have this much data to store, we use Excel sheets to store the data manually but today when millions, billions, or even trillions of data are generated, which is impossible to store that is why we start using different tools to store data and this is called data science.
Here we learn what a data analyst is, the tools used for data analytics, salaries, career, future in data analysis, and syllabuses. Finally knows about some institutes and read some articles. Do you have any questions? Feel free to ask in the comment section of the article.