12 Best Data Analytics Courses in Coursera- [Bestseller 2024]

Coursera is an E-Learning platform that provides thousands of online courses on various subjects. And Coursera has a wide range of Data Analytics courses too. That’s why I thought to share the 12 Best Data Analytics Courses in Coursera with you. So, give your few minutes to this article and find out the Best Data Analytics Courses on Coursera.

Now without any further ado, let’s get started-

Best Data Analytics Courses in Coursera

1. Google Data Analytics Professional Certificate– Google

Rating- 4.8/5

Time to Complete- 6 Months (If you spend 10 hours/week)

This is one of the most popular Data Analyst Certification programs. In this program, you will gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job and an understanding of data-driven decision-making and how data analysts present findings.

In this course, you will also learn how to prepare data for exploration and how analysts use spreadsheets and SQL with databases and data sets. Then you will learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results.

This course also covers how to perform complex calculations on your data to complete business objectives. You will learn about Tableau, a data visualization platform that will help you create effective visualizations for your presentations. At the end of this course, you will learn how to use RStudio to apply R to your analysis.

There are 8 courses in this certification program.

Courses Include-

1. Foundations: Data, Data, Everywhere
2. Ask Questions to Make Data-Driven Decisions
3. Prepare Data for Exploration
4. Process Data from Dirty to Clean
5. Analyze Data to Answer Questions
6. Share Data Through the Art of Visualization
7. Data Analysis with R Programming
8. Google Data Analytics Capstone: Complete a Case Study

Extra Benefits-

1. You will earn a Shareable Certificate after completing the Data Science specialization Program.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are a beginner and want to gain data analytics skills.

Interested to Enroll?

If yes, then check out all details here- Google Data Analytics Professional Certificate

2. IBM Data Analyst Professional Certificate– IBM

Rating- 4.7/5

Time to Complete- 11 Months (If you spend 3 hours/week)

In this Professional certificate program, you will learn the fundamentals of gathering data, cleaning data, analyzing the data, and how to share your data with the use of visualizations and dashboard tools.

You will also learn the basic working knowledge of Excel spreadsheets for Data Analysis and a basic understanding of using spreadsheets as a data visualization tool.

This professional certificate program will also provide Python basics, Pandas, and NumPy. Along with that, you will learn basic and advanced SQL and databases like how to build databases, how to collect and analyze the data using Python. 

In the last two courses, you will learn data analysis techniques, starting from importing and wrangling data to statistical analysis and modeling. And data visualization techniques like line graphs, pie charts, bar charts, and specialized visualizations like Waffle and Folium.

In the final Capstone Project, you will practice almost all the concepts studied in this whole program. There are 8 courses in this IBM Data Analyst Professional Certificate.

Extra Benefits-

1. You will earn a Shareable Certificate after completing the Data Science specialization Program.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are a beginner and want to gain data analytics skills.
• And those who are familiar with high school level math.

Interested to Enroll?

If yes, then check out all details here-IBM Data Analyst Professional Certificate

3. Python Data Analysis– Rice University

Rating- 4.7/5

Time to Complete- 9 hours

In this course, you will learn how to read, store, and process tabular data using Python programming. Throughout this course, you will learn Python’s dictionary data type, Tabular Data, and Nested Data Structures, how to read CSV files from Python programs, and how to organize and analyze tabular data.

Extra Benefits-

1. You will earn a Shareable Certificate.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are beginner and want to learn basics of data analysis using Python 3.

Interested to Enroll?

If yes, then check- Python Data Analysis

4. Statistical Analysis with R for Public Health Specialization– Imperial College London

Rating- 4.7/5

Time to Complete- 4 months (If you spend 3 hours/week)

In this specialization program, you will learn statistical thinking (types of variables, common distributions, hypothesis testing), linear regression, logistic regression, and survival analysis.

In linear regression, you will learn how to prepare the data, assess how well the model fits the data, and test its underlying assumptions. You will also get to know statistical concepts like sampling, uncertainty, variation, missing values, and distributions.

Throughout this program, you will get your hands dirty with analyzing data sets covering some big public health challenges such as fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalization using R programming.

There are 4 courses in this specialization program.

Extra Benefits-

• You will earn Shareable Specialization and Course Certificates.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are a beginner with no knowledge of statistics or R software.

Interested to Enroll?

If yes, then check out the details here- Statistical Analysis with R for Public Health Specialization

5. Excel to MySQL: Analytic Techniques for Business Specialization– Duke University 

Rating- 4.6/5

Time to Complete- 7 months(If you spend 4 hours/week)

In this program, you’ll learn to frame business challenges as data questions. You will work with tools like Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights.

The best part about this program is that you will work on a hands-on project, that focuses on optimizing revenues from residential property. Airbnb is Capstone’s official Sponsor of this program. This is also a 5-course series program.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• This is a beginner level program. No previous experience is needed. Anyone can enroll.

Interested to Enroll?

If yes, then check out all details here- Excel to MySQL: Analytic Techniques for Business Specialization

6. Modern Big Data Analysis with SQL Specialization– Cloudera

Rating- 4.8/5

Time to Complete- 4 months(If you spend 3 hours/week)

If you want to gain the skills necessary to query big data with modern distributed SQL engines, then this specialization is for you. The best part of this course is that it will teach you a newer breed of SQL engine: distributed query engines Hive and Impala.

Hive and Impala are open-source SQL engines capable of querying enormous datasets. Another advantage of this specialization program is that this program provides excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam.

This Specialization program consists of 3 Courses.

Courses include-

1. Foundations for Big Data Analysis with SQL
2. Analyzing Big Data with SQL
3. Managing Big Data in Clusters and Cloud Storage

Extra Benefits-

• You will earn a Shareable Certificate.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Anyone can enroll in this specialization program. No prior experience required for enrolling in this program.

Interested to Enroll?

If yes, then check out all details here- Modern Big Data Analysis with SQL Specialization

7. Data Analysis and Presentation Skills: the PwC Approach Specialization– PwC

Rating- 4.7/5

Time to Complete- 6 months (3 hours/week)

This specialization is offered by PwC (Multinational professional services network). With the help of this specialization program, you will get practical with data analysis, turning business intelligence into real-world outcomes. In this program, you will learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools.

This specialization program will also provide hands-on projects, where you will plan an analysis approach, analyze sets of data using Excel skills, and prepare a business presentation.

This specialization program is a series of 5 courses. Now, let’s see, the courses included in this specialization program-

Courses Include-

1. Data-driven Decision Making
2. Problem Solving with Excel
3. Data Visualization with Advanced Excel
4. Effective Business Presentations with Powerpoint
5. Data Analysis and Presentation Skills: the PwC Approach Final Project

Extra Benefits-

• You will earn Shareable Specialization and Course Certificates.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• This is another Specialization program for Beginners. You don’t need any background knowledge. Anyone can enroll who want to learn data analytics.

Interested to Enroll?

If yes, then check out all details here- Data Analysis and Presentation Skills: the PwC Approach Specialization

8. Data Analysis with Python– IBM

Rating– 4.7/5

Time to Complete- 13 hours 

This course is the part of IBM Data Analyst Professional Certificate. In this course, you will learn how to analyze data using Python starting from data preparation, performing statistical analysis, creating data visualizations, and predicting future trends from data.

Throughout this course, you will learn how to use Pandas, Numpy, and Scipy libraries to work with datasets and you will work on hands-on exercises. Overall this course is good for beginners.

Extra Benefits-

1. You will earn a Shareable Certificate.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are a beginner and want to learn data analysis using Python.

Interested to Enroll?

If yes, then check-  Data Analysis with Python

9. Statistics with R Specialization– Duke University

Rating- 4.6/5

Time to Complete- 7 Months (If you spend 3 hours/week)

This specialization program will give you in-depth Statistics knowledge with the help of R. In this program, you will learn how to analyze and visualize data in R and create reproducible data analysis reports, and much more.

R is much better than Python for performing statistical operations. So, if you want to master Statistics, then I would recommend this specialization program.

In this specialization program, you will learn the following skills- Bayesian Statistics, Linear Regression, Statistical Inference, R Programming, Statistics, Rstudio, Exploratory Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Bayesian Linear Regression, Bayesian Inference, and Model Selection.

This specialization program contains 5 Courses. Let’s see the details of the courses-

Courses Include-

1. Introduction to Probability and Data with R
2. Inferential Statistics
3. Linear Regression and Modeling
4. Bayesian Statistics
5. Statistics with R Capstone

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have basic math knowledge. No previous programming knowledge is required for this course.

Interested to Enroll?

If yes, then check out all details here- Statistics with R Specialization

10. Data Science: Foundations using R Specialization– Johns Hopkins University

Rating- 4.6/5

Time to Complete- 5 months (If you spend 8 hours/week)

This is a specialization program offered by Johns Hopkins University. This specialization program will teach you foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research.

You will learn in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. You will also learn some of the common multivariate statistical techniques used to visualize high-dimensional data. In this specialization program, there are 5 courses.

Courses Details-

1. The Data Scientist’s Toolbox
2. R Programming
3. Getting and Cleaning Data
4. Exploratory Data Analysis
5. Reproducible Research

Extra Benefits-

• You will earn Shareable Specialization and Course Certificates.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have some programming experience in any language and have some working knowledge of mathematics up to algebra.

Interested to Enroll?

If yes, then check out the details here- Data Science: Foundations using R Specialization

11. Excel Skills for Data Analytics and Visualization Specialization– Macquarie University

Rating- 4.9/5

Time to Complete- 4 months (If you spend 3 hours/week)

This program will help you to develop your analytical and visualization skills. In this program, you will learn how to use advanced Excel functions, creative visualizations, and powerful automation features.

You will also learn a broad range of charts and create stunning interactive dashboards. There are 3 courses in this program. In the first course, you will learn the fundamentals of Excel for data analysis.

The second course will cover data visualization in Excel, charting techniques for telling the right story, creating specialized and custom charts, and creating interactive dashboards in Excel. In the last course, you will learn Power Query, Power Pivot, and Power BI.

Let’s see courses details-

Courses Include-

1. Excel Fundamentals for Data Analysis
2. Data Visualization in Excel
3. Excel Power Tools for Data Analysis

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are familiar with Excel user interface, Excel workbook, and Excel basic formulas.

Interested to Enroll?

If yes, then check out all details here-Excel Skills for Data Analytics and Visualization Specialization

12. IBM Data Analytics with Excel and R Professional Certificate– IBM

Rating- 4.8/5

Time to Complete- 11 months (If you spend 2 hours/week)

This is another professional certificate from IBM. In this program, you will learn data analytics tools such as Excel, Cognos Analytics, and the R programming language.

There are 8 courses in this program. In the first three courses, you will learn the fundamentals of data analysis, basic working knowledge for using Excel spreadsheets for Data Analysis, and data visualizations using spreadsheets.

Then you will learn the basics of the R language, SQL basics, data analysis with R, and data visualization with R. Let’s see courses details-

Courses Include-

1. Introduction to Data Analytics
2. Excel Basics for Data Analysis
3. Data Visualization and Dashboards with Excel and Cognos
4. Introduction to R Programming for Data Science
5. SQL for Data Science with R
6. Data Analysis with R
7. Data Visualization with R
8. Data Science with R – Capstone Project

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Anyone can enroll in this program.

Interested to Enroll?

If yes, then check out all details here- IBM Data Analytics with Excel and R Professional Certificate

And here the list ends. I hope these 12 Best Data Analytics Courses in Coursera will definitely help you to learn data analytics concepts. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the  12 Best Data Analytics Courses in Coursera. If you have any doubts or questions, feel free to ask me in the comment section.

If you found these Best Data Analytics Courses in Coursera helpful, you can share them with others.

All the Best!

Enjoy Learning!

Thank YOU!

Explore More about Data Science, Visit Here

Subscribe For More Updates!

[mc4wp_form id=”28437″]

Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden