Top 13 Free Data Analytics Courses With Practical Training

Since people first began scratching numbers onto wax tablets, data analytics has existed in some form or another. However, the contemporary definition of data analytics only started to take off with the advent of digital. This is mostly due to the enormous volumes of data that we now generate daily, whether we’re taking an Uber, transferring money, or just sending an email. Data analytics is quickly evolving into a job need as the labor market changes to meet the demands of the twenty-first century. No matter what career route you are on, adding data analysis to your skill set can only be a beneficial thing, whether you want to pursue a job as a data analyst or scientist or simply keep your abilities current. Despite the continued demand for traditional data scientists with their in-depth knowledge, individuals with a wide awareness of data analytics principles are now increasingly needed, regardless of the position they hold. Several institutions provide Data Analytics courses to cater to this growing demand. This article covers all the details you need to consider when choosing from the free Data Analytics Courses in India.

1. Data Analytics Short Course – Career Foundry

This course will provide you with a practical introduction to data analytics and was written by the same professionals who developed our Data Analytics Program. To address a business issue, you will study a real dataset, beginning with data cleansing and concluding with visualizations and key insights. If you’re new to data analytics and want to learn more, this is a great place to start.

If you want a quick introduction to data analytics, this free 5-tutorial course is perfect among all other free Data Analytics courses. You may access five practical, 15-minute sessions after signing up, each of which focuses on a different stage of the data analytics process. The course gives you a general understanding of data analytics, allowing you to further investigate the subject if you so desire.

Course Duration: self-paced

Course Modules:

1. Intro to Data Analytics
2. Data Cleaning
3. Descriptive Statistics
4. Data Visualization
5. Story Telling with data
6. Final Test (Optional)

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2. Introduction to Data Analytics Course – Simplilearn

This introduction to data analytics is intended to provide a firm foundation for dealing with various types of data, using data visualization to aid in decision-making, and using data analytics in diverse fields. Anyone who wants to work as a data analyst or analytics manager should enroll in this program. It is one of the best free Data Analytics courses as, through this program, you can gain knowledge about data analytics and data science approaches and improve business decisions.

Course Duration: 3 hours

Course Modules:

1. Course Introduction
2. Data Analytics Overview
3. Dealing with Different Types of data
4. Data Visualization for Decision Making
5. Data Analytics, Data Science, and Machine Learning
6. Data Science Methodology
7. Data Analytics in Different Sectors
8. Analytics Framework and Latest Trends

3. Learn to Code for Data Analysis – Open Learn

The OpenLearn platform, which is offered by the UK’s Open University, is crammed with content covering everything from astrophysics to cybersecurity and, of course, data analytics. The courses offered by OpenLearn are well-known for their high caliber and many are free as well. It is one of the best free Data Analytics courses in India. Learn to Code for Data Analysis, an eight-week, free coding course offered by OpenLearn, will teach you the fundamentals of programming and data analytics, and you’ll even be able to create simple analytical algorithms in a programming environment. And in the conclusion, there are free participation certificates and interactive exercises.

Course Duration: 8 weeks

Course Modules:

1. Introduction and Guidance
2. Having to go at it (Part 1)
3. Having to go at it (Part 2)
4. Cleaning Up our Act (Part 1)
5. Cleaning Up our Act (Part 2)
6. Combine and Transform Data (Part 1)
7. Combine and Transform Data (Part 2)
8. Further Techniques (Part 1)
9. Further Techniques (Part 2)

4. Intro to Data Analysis – Udacity

This course is a great place to start if you’re hoping to make a breakthrough in the data science business. You will develop a thorough understanding of the method for evaluating sizable datasets throughout the classes. Gain the ability to raise pertinent issues and render important judgments. Gain practical experience working with several Python libraries, including NumPy, Pandas, and Matplotlib. It is one of the best free Data Analytics courses in India.

This course is a helpful starting point for comprehending the entire data analysis process. Understanding the differences between each phase of the process and how they relate to one another is crucial before diving into each one. After completing this course, you will be better prepared to do well in subsequent courses for the Data Analyst Nanodegree. For instance, a student who began with Data Analysis with R, which focuses on the exploratory data analysis stage, could not have known the distinction between data exploration and data wrangling at that time. You can better understand the goals of each stage and how it fits into the overall process by taking this course first.

Course Duration: 6 weeks

Course Modules:

1. Data Analysis Process
2. NumPy and Pandas for 1D Data
3. NumPy and Pandas for 2D Data
4. Investigate a Dataset

5. Lean Analytics Workshop – Alistair Croll and Ben Yoskovitz – Udemy

By focusing on the crucial metrics, adopting the principles of lean analytics is a wonderful method to improve your business decisions. The instructor will guide you through the fundamentals in this class, and then you can examine the sample business models to understand how they can be applied to new businesses. By the time the project is done, you’ll have a data-driven ideology and an innate sense of when to move on to a new phase.

This course will assist you to comprehend the principles of analytics, the data-driven attitude, and Lean Startup and see how six examples of business models relate to start-ups of all sizes. You will also learn how to draw a line in the sand to indicate when it is time to move forward by identifying the one metric that matters to you and applying the concepts of Lean Analytics to established businesses and products.

Course Duration: 2 hrs 23 mins

Course Modules:

1. Introduction to Lean Startup Principles
2. Lead Analytics
3. Conclusion and Q&A

6. Introduction to Data Analytics – Udemy

This course offers a moderate introduction to data analysis concepts, the job of a data analyst, and the tools that are employed in routine tasks. The soft skills needed to effectively convey your data to stakeholders will next be covered, along with how mastering these abilities can enable you to make decisions based on data.

You will learn how to distinguish between the responsibilities of a Data Scientist, Data Engineer, and Data Analyst in this course. You will gain an understanding of what data analysis comprises as well as the duties of a data analyst. The next step is to identify the key players in the data ecosystem and investigate the various technologies available both locally and online. You’ll start looking into the principles of data collection and learning how to recognize your data sources. The usage of visualizations and dashboard tools will then be covered along with data cleaning, analysis, and sharing techniques.

Course Duration: 10 hrs (approx)

Course Modules:

1. What is Data Analytics
2. The Data Ecosystem
3. Wrangling and Gathering data
4. Mining and Visualizing Communication and Data Results
5. Data Analysis and Career Opportunities

7. Introduction to Data Analysis for Government – Udemy

Government personnel who possess a solid qualitative grasp of their work but who have not yet mastered the mathematical abilities required to use data in their daily duties are the perfect candidates for this course. You will master all the principles of government data analysis and develop a solid understanding of the ideas behind using data through 25 courses and two hours of content. There are practical exercises and quizzes for each chapter to help you practice what you’re learning.

This course will walk you through identifying the actual problem to solve, exploring and defining a conceptual model around the problem, and analyzing data to support or reject that model. It starts with a high-level overview of a data analysis project framework. Through the perspective of a real-world data project carried out in the City of New Orleans, students will see all stages of the framework fulfilled. Students who complete the course will be equipped to analyze data and use it to enhance the delivery of government programs.

Course Duration: 2 hrs

Course Modules:

1. Introduction to Data Analysis
2. Identifying the Problem
3. Exploring the Problem
4. Refining the Problem
5. Finding the Data
6. Opinions, Bias, and Assumptions
7. Downloading and Manipulating Data
8. Descriptive Status
9. Conclusion

8. Analyzing and Visualizing Data with Excel – edX

One of the most popular tools for data analysis and visualization is Excel. An expert from the Microsoft Excel Product Team will introduce you to the most recent iterations of these new tools in this data science course. It is one of the best free Data Analytics courses in India.

Learn how to use the DAX calculation engine to express business calculations once the data has been prepared. Learn how the data can be presented visually, shared to the Power BI cloud service, utilized in dashboards, queried using simple English queries, and even accessed on mobile devices.

Duration: 6 weeks

Course Modules:

• Install Office programs to set up the lab environment. Learn how to analyze data that is already in a worksheet or grid using traditional Excel tools like pivot tables, pivot charts, and slicers.

• Learn about queries, create an Excel data model from a single flat table using the Power Query add-in in Excel 2013 and Excel 2010, and more. Learn how to develop an Excel data model using the information from numerous tables imported from a SQL database.

• Learn how to establish measures that can be used to calculate for each cell, how to select the context for calculations, and how to use several sophisticated DAX functions.

• Learn how to use Excel to produce amazing visuals. To compare one year to another, use the cube functions. To improve your visualizations, create timelines, hierarchies, and slicers.

9. Learn Data Analysis using Pandas and Python (Module 2/3) – Udemy

The very fundamentals of data analysis and manipulation methods utilizing Pandas are presented in this course. This course won’t go over every syntax Pandas has to offer, but it will get you up to speed on basic to intermediate data analysis so you can move on to feeding the data to a data science method. This session provides an introduction to data science and the kinds of issues that the Pandas library can be used to solve.

Learn how to import files from a variety of sources by following the installation and environment setup procedures. You will then be equipped to analyze, prepare, filter, and work with datasets. Tips and tricks are discussed in the final section, including how to use graphs and shift functions. It is one of the best free Data Analytics courses in India.

Course Duration: 1 hr 39 mins

Course Modules:

1. Introduction and Installation
2. Data Preparation
3. Tips and Tricks

10. Mastering Big Data Analytics – Great Learning

With a few examples and case studies for each of these technologies, the Big Data Analytics course will expose you to well-known big data tools. The course will emphasize using each of these technologies for analytics It will start with an introduction to Hadoop, covering the framework and its several iterations.

You will learn how the RDD and PySpark ideas operate, how to use the Hive tool to deal with SQL and examples, how to use the Spark tool for steaming and analyzing, and more. You will comprehend using Apache Kafka and sophisticated Spark ideas in the final section of the Mastering Big Data Analytics course. Additionally, the course offers five examinations to gauge your progress on each topic and projects you can use to work on.

To receive your certificate, complete the course for free. They refer to the materials that are attached. You can enroll in the Data Science and Big Data Analytics course and start your career with a professional Post Graduate degree after completing this free, self-paced intermediate approach to big data analytics.

Course Duration: 19 hrs

Course Modules:

1. Hadoop
2. Hive – Big data SQL
3. Spark – Analyze and Stream the Big Data
4. Apache Kafka – Distributed Streaming Platform
5. Advanced Spark

11. Data Analysis – Khan Academy 

The course introduces the concepts of data analysis and big data. Discover how to organize data sets in files, spreadsheets, and databases, compute statistics like the average and maximum and identify patterns like trends and correlations.

Discover how the use of big data may enhance various algorithms, including translation, picture recognition, and recommendation systems. You may put what you’ve learned and prepared for the AP Computer Science Principles exam into practice with the help of 30+ practice questions.

Course Duration: Self-paced

Course Modules:

1. Data Tools
2. Big Data
3. Bias in Machine Learning
4. Unit Test

12. Introduction to Data Science Specialization – Coursera

It is one of the best free Data Analytics courses in India as the four courses in this IBM Specialization will give you the fundamental knowledge and abilities that every data scientist needs to get started in the field or further their education.

You will learn about data science and the work that data scientists do through this Specialization. You’ll learn how data analysis may assist you in making data-driven decisions and how data science can be applied across a variety of fields. Without any prior understanding of computer science or programming languages, you’ll discover that you may start your career in the industry right away because this Specialization will give you the groundwork you need for further education to support your professional objectives.

Course Duration: 4 months

Course Modules:

1. What is Data Science?
2. Tools for Data Science
3. Data Science Methodology
4. SQL and Databases for Data Science with Python

13. Introduction to Business Analysis using Spreadsheets: Basics

You will gain knowledge of the duties of a business analyst in this course, including learning the fundamentals of data analysis and descriptive statistics. Learn how to use functions, aggregation functions, and logical aggregation functions to modify, analyze, and display data in Google Sheets. and display data using a variety of charts. Learners who are interested in business analysis and the job of a business analyst will benefit most from this course hence it is one of the top free Data Analytics courses in India.

Course Duration: 1 hr 30 mins

Course Modules

• Utilize Google Sheets to apply the fundamentals of spreadsheet software and learn how to use a calculation.
• Use mathematical operations and perform mathematical operations.
• Apply data cleaning techniques like eliminating duplicates and splitting a column into two columns.
• Use aggregation and logical functions like AND, IF, OR, and SUM.
• Create pie, bar, line, or column charts for categorical and quantitative data, and use logical aggregation methods like SUMIF and COUNTIF to evaluate the data.

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FAQs

1. Who can apply to one of these free Data Analytics courses in India?

Data analytics can be learned by aspiring professionals from any educational background who have an analytical mindset. The following people would benefit most from the free data analytics course for beginners:

• Undergraduate and graduate students
• IT specialists
• Banking and financial experts
• Professionals in sales
• Beginners in the field of data analytics

2. What features should free data analytics courses have?

Numerous profit-making data analytics programs frequently offer comparable rewards and incentives and cover a large portion of the same fundamental subject. They face competition from other comparable programs, which is why.

Free data analytics courses, however, can vary considerably more. They can meet the many needs of students because they aren’t vying for your money. Therefore, what you want in a free online course will rely on what you hope to gain from it.

• Does it address the topic you wish to learn more about? Short courses can sometimes be very narrowly focused.

• Does it incorporate both theory and practice? Practical experiences are always more memorable than reading about theory. Find a course with a wealth of interesting content.

• Does it strike a balance between useful content and simplicity? While a course shouldn’t be too difficult for novices, it also shouldn’t be too general so that you can’t use it.

• Does it position you for advancement? A quick or free data analytics education should ultimately give you the confidence to continue learning.

3. What distinguishes a professional curriculum from a free data analytics course?

A free data analytics course is an excellent approach to determine if you want to take a deeper dive into the field. However, there are several significant distinctions between free courses and paid courses that you should be aware of.

• Level of detail

A free course’s main goal is to provide students with a thorough introduction so they may decide whether or not to pay for the entire program. Short courses are ideal for acquiring a broad overview of the topic. A complete curriculum, or at least a decent one, will provide you with all the tools you need to pursue a career in data analytics.

• Course duration

Again, free online data analytics courses are typically (though not always) significantly shorter as they are intended to be more of a “teaser trailer.” They typically require learning time that ranges from hours to days. Anything more than that enters the realm of paid programs.

• Degree of support

Self-guided learning is an important aspect of free courses. Full data analytics programs, on the other hand, typically provide guided support in the form of a tutor or mentor as well as assistance with job searching, such as assistance with creating a data analyst resume and data portfolio. Some for-profit training programs and boot camps even guarantee employment.

• Level of knowledge

Those with no prior knowledge typically benefit from free data analytics courses. But you’ll need to do a little more studying once you’re prepared to upskill! Paid courses can be more difficult, but once you’ve finished one, you’ll be equipped with all the knowledge and abilities required to call yourself a certified data analyst, and you cannot obtain that from a free course.

Conclusion

You should learn Data Analytics because this technology has become essential in today’s data-driven environment, As a result of the value that can be obtained from data, organizations see data analysis as one of the most significant strategic specialties. There aren’t enough data analysts to make sense of the 2.5 quintillion bytes of data that are generated every day. As a result, there is an ever-growing skill gap in data analytics, and the demand for data analysts has increased globally. As a result, the free data analytics courses for beginners will aid in your learning process.