Top 6 Data Analytics Courses in Patna With Placements
“Nobody ever needs more than 640k RAM,” Bill Gates said in 1981. Yet, research indicates that by 2020, the world’s data will have grown to a whopping 44 trillion gigabytes. Data is the new oil. Data analytics is the study of patterns in raw data, which grows exponentially daily. Does it spark your interest in the subject? Learn all about data analytics and the data analytics courses in Patna right here.
By “Data Analytics,” we mean a wide variety of quantitative and qualitative methods for extracting meaning from data. Data science consists of a wide range of procedures, including extracting and classifying data from which numerous patterns, links, connections, and other insights can be derived.
Almost every company today has transformed into a “data-driven” one, adopting a strategy to gather more data on its consumers, markets, and internal operations. Information like this is collected, saved, and evaluated to draw conclusions.
Benefits of Data Analytics
The five key benefits that data analysis can bring to businesses are as follows:
1. Better Focus
Companies can use Data Analytics to understand what types of advertising are most successful in reaching and resonating with their target audiences. With the help of data, businesses can determine which promotional strategies are most effective with their target customers and how broadly they may implement them.
2. Bounce Rates
The website’s bounce rate is the most critical metric for any online business. With fewer visitors leaving without exploring further, you may feel assured that their interest in your business is genuine. In contrast, a significant percentage of “bounced” users indicates a concern that Google or any other search engine isn’t picking up the company webpage as relevant.
3. New Advancements
Businesses can use this information to produce futuristic inventions and develop new, ground-breaking services that will position them at the head of their field. By constantly innovating in this way, businesses can keep their competitive edge. The good news is that companies can patent these innovations and profit from them for years to come.
4. The Need to Reduce Running Costs
If the company’s management wants to run efficiently and profitably, reducing running costs is essential. With a solid system in place, management can identify overspending areas and prioritize funding for growth.
Information about product customers and locations is also valuable. It shows if the company is resonating with its intended demographic, receiving inquiries from, or making sales to, unreachable markets. For businesses, this might signal the moment they enter a market into which they were previously unaware.
Types of Data Analytics
1. Descriptive Analytics
Descriptive analytics is a method of data analysis in which a description is constructed from raw data through analytics.
2. Predictive Analytics
With the help of predictive analytics, one can determine in advance the path or progress in the future.
3. Diagnostic Analytics
The objective is to backtrack and determine what led to a given event. Data analysis is typically done in the form of a dashboard.
4. Prescriptive Analytics
This area of analytics discusses an analysis based on rules and suggestions to prescribe a certain analytical path for the organization.
Roles of Data Analyst
1. Determining the Organisation’s Goals
One of a Data Analyst’s primary responsibilities is to identify the organization’s overall goal. Collaboration among IT staff, upper management, and data scientists would be necessary for this.
2. Data Mining
Data mining uses mathematical and computational methods to discover patterns in large datasets by extracting useful information. Insights can be unlocked, and new data can be generated with its aid. It is common for data analysts to do data mining or collection. One of the primary duties of any Data Analyst is to retrieve data from the company database or to extract it from external sources to conduct research.
3. Data Cleaning
Analyzing, identifying, and fixing errors in unstructured raw data is the first step in the larger data preparation process known as data cleaning. Data Analysts must conduct a comprehensive data cleansing procedure before using the results of their analysis to inform strategic decisions inside a company. It’s as simple as making sure your data is clean before you do any analysis. Data cleaning involves either erasing records that could skew an analysis or converting all records to the same format.
4. Data Analysis
Naturally, a Data Analyst’s essential duty is to analyze data. Analyzing data to find the solution to a specific query is called “data analytics.” The term “data analysis” refers to the act of analyzing and analyzing each piece of data to draw conclusions. Statistical methods are employed in order to decode the data’s meaning. The research makes use of a wide range of software and programming languages.
5. Pinpointing Patterns and Trends
Data analysts spend considerable effort identifying patterns and trends in complex databases. Even more so, trends should be considered. Both short-term and long-term patterns are of relevance to data analysts.
6. Making Reports for Clear Visualisations
Information is derived from raw data through reporting. To keep an eye on their online operations, businesses can use reports to see whether data has deviated from normal patterns. Good reporting should prompt inquiries from consumers into the company.
7. Maintaining Data Systems and Databases
A company needs a data analyst to make sure its electronic data storage, accessibility, and consistency are up to the mark. In order to get the most out of this tool, a Data Analyst must have technical knowledge of data models, database design, and development. They collect information from primary and secondary sources to feed databases and code tools to automate and standardize the data evaluation procedures.
Scope of Data Analytics Courses in Patna
Career opportunities in data analytics are rising, particularly in India and elsewhere. The data analyst role is a stepping stone to the data scientist role and then to the data evangelist role. You can also go into an advisory job in either private or government services. You can build a successful career in data analytics by combining knowledge of data management, Natural Language Processing solutions, and Machine Learning with strong communication, leadership, and teamwork skills.
Skills Required To Be a Data Analyst
1. Soft Skills That Are Required to Be a Data Analyst
Without the ability to effectively communicate your findings to your team, all the time spent digging through data and creating insightful discoveries would be for nothing. A data analyst must provide management with the information they require to make wise business decisions. A data analyst’s success hinges on his or her ability to effectively communicate both in writing and in person. Data visualization abilities are also necessary for telling a great narrative.
❖ Presentation Skills
Presenting your findings is an important component of the data analyst role, just as effective communication is. In addition, effective communication skills will aid you in persuading company stakeholders to buy your vision and see things from your viewpoint.
❖ Analytic Reasoning
Acquire the mentality of a data analyst if you aspire to become one. In order to obtain valuable data, you must first ask the appropriate questions. The end outcome is not always easy to see, and you’ll need to use your critical thinking skills. You must sharpen your analytical abilities.
❖ Problem Solving
You will routinely face problems such as errors, glitches, and roadblocks in your job as a data analyst. This highlights the need for developing effective strategies for resolving issues. In this situation, you’ll need to be creative and think on your feet. Recruiters often focus on data analyst interview questions on candidates’ ability to solve problems. For example, they may ask for a specific instance in which you had to come up with a solution to a challenge, or they might assign you a simple problem to resolve on the spot.
To succeed as a data analyst, collaboration with others is essential. Engineers, web developers, and data scientists will work together to help you achieve your goals. You need to feel at ease interacting with both internal and external sources. Respect and admiration for your coworkers are important for a productive work environment.
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2. Hard Skills That Are Required to Be a Data Analyst
❖ Structured Query Language (SQL)
This language allows data analysts to access, modify, organize, and analyze information stored in a relational database. Developing this skill is crucial for every data analyst. As a result, you can count on finding at least one SQL expert in any company that involves dealing with data. MySQL, Microsoft Access, and Oracle are three popular SQL-based database management systems.
❖ Microsoft Excel
The ability to use Microsoft Excel necessitates more than a familiarity with spreadsheets. Expertise with macros and VBA lookups in Microsoft Excel is required. You can use these for fast analysis of small data sources. Small businesses and new ventures often like using MS Excel because of its affordability and ease of use.
❖ Programming Languages
The most widely used statistical languages are R and Python. They facilitate the easy and rapid examination of massive datasets. The fields of predictive analytics and big data analysis also make use of them. To be competitive for a data analyst role, you must have expert knowledge in at least one of these languages. Mastering these languages is possible through a variety of certification programs. Earning relevant certifications also highlights your dedication to your career to potential employers.
❖ Data Representation and Visualisation
Complicated data patterns and information may be beyond the understanding of some employees. The work of a data analyst is to make sense of seemingly incomprehensible data. An important part of a data analyst’s role is to extract findings from data and engagingly display them through the use of visuals such as charts, tables, and graphs.
❖ Data Cleansing
A data analyst must spend a considerable amount of time cleaning data. This process is part of collecting information from various resources and preparing it for analysis. Information may be incomplete, incorrect, or presented in an unexpected format. The data needs to be fixed before it can be used for analysis.
❖ Statistical Knowledge
Analyzing and understanding data requires a solid foundation in statistics. If you want to stand out, having a background in statistics or knowing key mathematical principles is a must. You should know what clustering is, how to use MapReduce technology, what to do with unstructured data, and how to apply association rules.
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Where to Study Data Analytics Courses in Patna?
Rank# 1. Data Analysis Courses in Patna
1. Digital Vidya
Digital Vidya, established in 2009, offers its data analytics courses in Patna and is regarded as the best of its kind. Digital Vidya’s Data Analytics Courses in Patna include some useful Advanced Excel sessions. Professionals in the fields of marketing, customer satisfaction, operations, sales, supply chain, logistics, finance, and trading will benefit from the focus of this course. Someone new to the field of data science and analytics can gain a head start by taking this course. To top it all off, the trainers are some of the best data analysts in the industry.
Course Duration: 16 Weeks
Course Fees: Rs. 14,750/-
Mode of Teaching: Online
- Introduction to Data Science and Analytics Techniques
- Fundamentals of Excel
- Data Cleaning and Working with Conditions using Excel
- Data Manipulation using Advanced Excel
- Introduction to Statistics and Application in Excel
- Power BI
Contact Details: 8010033033
Rank# 2. Data Analysis Courses in Patna
ExcelR, in collaboration with IBM, offers data analytics courses in Patna. The objectives of the course are to meet the industry’s needs and provide a foundation for a successful career in a field of technology that is not dominated by coding. In addition to classroom lectures, practical sessions, and assignments, they offer students a chance to apply what they have learned. Considering these merits, it is no surprise that ExcelR offers the top data analytics courses in Patna.
Course Duration: 160 Hours
Course Fees: Rs. 39,999/-
Mode of Teaching: Online
- Business Statistics
- Excel: Basics to Advanced
- Power BI
- R Basics
- Python Basics
Contact Details: 18002122121
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Rank# 3. Data Analysis Courses in Patna
360DigiTMG offers one of the best data analytics courses in Patna. The course’s overall objective is to familiarise you with the several methods of Data Analytics for dealing with massive data sets. Students will be given an opportunity to understand and evaluate the practicality of these technologies in the context of storing and processing huge data.
This module instructs the student on the various techniques used to analyze structured and unstructured data, building visual stories using Tableau and Power BI capabilities. The Data Analytics course is ideal for professionals who want to acquire in-depth knowledge of daily used Data frameworks.
Course Duration: 132 Hours
Course Fees: Rs. 29,500/-
Mode of Teaching: Online
- Power BI
Contact Details: [email protected]
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Rank# 4. Data Analysis Courses in Patna
Simplilearn and IBM have partnered to provide data analytics courses in Patna as a professional certificate program. In partnership with Purdue University, the Data Analytics certification program draws upon the university’s extensive resources to give candidates a well-rounded education in the field. The masterclasses would be delivered by Purdue faculty and IBM experts. The minimum eligibility to enroll in this course is a bachelor’s degree with 50% or higher marks.
Course Duration: 8 Months
Course Fees: Rs. 2,12,415/-
Mode of Teaching: Online
- Analytics Foundation
- Programming foundation and Data Analytics foundation with Python
- R Programming for Data Science
- Data Science with R
- Tableau Training
- Data Analyst Capstone
- Power BI
- Introduction to Artificial Intelligence Course
- Master Class – Purdue University
- Industry Master Class – Data Analytics
Contact Details: 18002127688
Rank# 5. Data Analysis Courses in Patna
Data analytics courses in Patna include the Google Data Analytics Professional Certificate on Coursera. No prior knowledge or qualifications are needed to enroll in this course, and no fees are involved. Learn in-depth how junior or associate data analysts perform their daily tasks and access essential analytical skills (data cleansing, analysis, and visualization) and resources (spreadsheets, SQL, R programming, Tableau).
The ability to prepare data for analysis, clean and organize, and do analysis and computations using spreadsheets, SQL, and R programming is essential and is focused on in the course. Also, the course makes you familiar with the most popular data visualization tools and techniques so you can effectively communicate your findings in dashboards, presentations, and other platforms.
Course Duration: 6 Months
Course Fees: Free
Mode of Teaching: Online
- Foundation of Data Analytics
- Data-Driven Decisions
- Data Exploration
- Data Cleaning
- Analyzing Data
- Data Visualisation
- Data Analysis with R Programming
- Google Data Analytics Capstone
Contact Details: Details
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Rank# 6. Data Analysis Courses in Patna
Udemy’s Data Analytics Courses in Patna include the Complete Data Analyst Bootcamp 2022. The course focuses on everything you need to know to succeed in your new career as a data analyst, and you’ll get a bird’s-eye view of what it involves. The course covers both the advanced and basic concepts of Python. In addition, you’ll participate in coding activities that will help you prepare for the job and learn about the various data kinds and how much memory they take up. Moreover, a final capstone project and practical exercises are included.
Course Duration: 20.5 Hours
Course Fees: Rs. 2,499/-
Mode of Teaching: Online
- Introduction to Data Analysis
- Setting up the Environment
- Python Basics
- Fundamentals for Coding in Python
- Mathematics for Python
- NumPy – Basics, Fundamentals, Data Types, Preprocessing, Statistics, Generating Data, Loan Data Example
- Pandas – Basics, Series, Dataframes,
- Working with Text Files and Text Data
- Must Know Python Tools
- Data Gathering or Data Collection
- Data Cleaning and Data Processing
- Working with Arrays
- The Absenteeism Exercise – Introduction and Solution
- Data Visualisation
Contact Details: Udemy website
Frequently Asked Questions (FAQs)
1. What is the average salary scale one can get after doing data analytics courses in Patna?
In India, a data analyst can expect an annual income of around 10 lakhs rupees. The more years you put into gaining experience, the more money you’ll make. Those in the field of data analysis with more than five years of expertise can expect annual salaries of up to 15 lakhs. Earnings for senior data analysts with at least ten years of expertise may exceed 20 lakhs per year. Data analytics is now a popular field of study and employment opportunity in India. This has led to an unprecedented demand for data science education.
2. What is the difference between Data Analyst and Data Scientist?
The primary distinction between a data scientist and a data analyst is in their respective responsibilities. Data scientists use raw data to draw statistical inferences that inform critical business decisions. In contrast, data analysts use pre-existing data sets to create a relevant representation for critical stakeholders. Data analysts utilize tools such as Python, data visualization tools like BI or Tableau, Microsoft Office, Structured Query Language, etc. At the same time, data scientists use tools such as statistics, big data, Python, SQL, data mining, and so on.
3. What are the various career paths following completion of data analytics courses in Patna?
After completing one of these Data Analytics courses in Patna, you’ll be well-prepared for a wide variety of exciting and rewarding careers, including Data Analyst, Financial Analyst, Marketing Analyst, Business Intelligence Analyst, Quantitative Analyst, Visualisation & Reporting Analyst, Operational Analyst, etc.
4. Should data analysts possess mathematical skills?
Indeed, those hoping to get into the field of data analysis need to be strong numerical thinkers and problem solvers.
5. Should data analysts also have coding skills?
Data analysts can survive without advanced coding skills. However, familiarity with database management systems, analytics tools, and data visualization programs is required.
6. Is it hard to learn the data analytics course?
Attending and completing all of the lectures, assignments, and projects in a data analytics course for beginners will make learning data analytics a breeze. Also, familiarity with basic statistics is helpful for understanding analytics.
If you are exceptionally analytical and enjoy working with numbers, a job in data analysis may be a perfect choice for you. But, follow your heart’s guidance when deciding on an institution. Investing in a career requires both time and money, so it’s crucial to give serious thought to all of your alternatives before settling on one. And, after graduating from one of the top institutes offering data analytics courses in Patna, you may expect to obtain a competitive job offer too!