Data Science is one of the most popular fields. Data Science offers a high salary. Everyone is trying to come to the Data Science field.
In the Data Science field, demand is high but supply is low. This is the biggest reason for the high salary in Data Science.
Coursera has a wide range of Data Science courses. That's why in this article I am gonna list the Top 10 data science courses in Coursera.
I hope these courses will help you to enhance your data science skills. So without any further ado, let's get started-
Top 10 data science courses in Coursera
1. IBM Data Science Professional Certificate
Provider- IBM
Rating– 4.6/5
Time to Complete- 10 months (5 hours per week)
This is one of the highly enrolled and highly rated course series. This Professional Certificate from IBM is for anyone who wants to start a career in Data Science.
This program consists of 9 courses. These 9 courses will cover all Data Science skills start from open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.
To start Professional Certificate from IBM Program, no prior knowledge of Computer Science and Programming is required.
Interested to Enroll?
If yes, then check out all details here- IBM Data Science Professional Certificate.
2. Data Science Specialization
Provider- Johns Hopkins University
Rating– 4.5/5
Time to Complete- 11 months (7 hours per week)
This is also one of the most highly rated and enrolled course series. In this course series, there is a separate section on statistics. And Knowledge of Statistics is mandatory for Data Science.
This Data Science specialization Program is the perfect mixture of theory and practical applications. R programming language is used for all Data Science related tasks.
Interested to Enroll?
If yes, then check out all details here- Data Science Specialization
3. Applied Data Science with Python Specialization
Provider- University of Michigan
Rating- 4.5/5
Time to Complete- 5 months ( 7 hours per week)
This specialization program teaches data science through the python programming language.
You will get a strong introduction to data science Python libraries, like matplotlib, pandas, nltk, scikit-learn, and networkx.
This course series doesn’t include Statistics needed for Data Science and various Machine Learning algorithms. It focuses on how to use these algorithms in Python.
If you want to learn Statistics first, then consider the Statistics with Python Specialization. In Statistics with Python Specialization, you will learn very important Statistical skills that are required for data science.
Interested to Enroll?
If yes, then check out all details here- Applied Data Science with Python Specialization
4. IBM Data Analyst Professional Certificate
provider- 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.
Interested to Enroll?
If yes, then check out all details here- IBM Data Analyst Professional Certificate
5. Statistics with R Specialization
Rating- 4.6/5
Provider- Duke University
Time to Complete- 7 Months
As I mentioned that knowledge of Statistics is crucial. And R is much better than Python for performing statistical operations. So, if you want to master Statistics, then I recommend this specialization program.
This specialization program will give you more in-depth Statistics 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.
Interested to Enroll?
If yes, then check out all details here- Statistics with R Specialization
6. Excel to MySQL: Analytic Techniques for Business Specialization
Provider- Duke University
Rating- 4.6/5
Time to Complete- 7 months
This Specialization program is offered by Duke University. 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, 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.
Interested to Enroll?
If yes, then check out all details here- Excel to MySQL: Analytic Techniques for Business Specialization
7. Data Visualization with Tableau Specialization
Rating- 4.6/5
Provider- University of California, Davis
Time to Complete- 6 months (If you spend 3 hours/week)
In this specialization program, you will learn Data Visualization with Tableau. Tableau is the most powerful, secure, and flexible end-to-end analytics platform for your data. Audi, Bank of America, Amazon, Burger King, EY, and Kimberly-Clark Corporation are a few of the top companies using Tableau
This specialization program is dedicated to newcomers to data visualization with no prior experience using Tableau. In this specialization program, you will see examples from real-world business cases and journalistic examples from leading media companies.
After successfully completing this Tableau Specialization program, you will be able to generate powerful reports and dashboards. And this will help people to make decisions and take action based on their business data.
Interested to Enroll?
If yes, then check out all details here- Data Visualization with Tableau Specialization
8. Data Visualization with Python
Rating- 4.5/5
Provider- IBM
Time to Complete- 18 hours
This course introduces a range of data visualization techniques like line graphs, pie charts, bar charts, and specialized visualizations like Waffle and Folium. In this course, you will learn various data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.
Interested to Enroll?
If yes, then check out all details here-Data Visualization with Python
9. Machine Learning Specialization
Rating- 4.7/5
Provider- University of Washington
Time to Complete- 7 months (If you spend 3 hours/week)
This is the specialization program offered by Coursera. In this specialization program, you will learn major areas of Machine Learning such as Prediction, Classification, Clustering, and Information Retrieval. Throughout this program, you will get hands-on experience with machine learning from a series of practical case-studies.
In the first case study, you will predict house prices using regression. In the second case study, you will analyze sentiment & loan default prediction using classification. The last and third case study is all about Finding Similar Documents.
So in a nutshell, this is the perfect program for you if you are looking for more practical-based learning. There are 4 courses in this specialization program.
Interested to Enroll?
If yes, then check out the details here-Machine Learning Specialization
10. Mathematics for Data Science Specialization
Rating- 4.4/5
Provider- National Research University Higher School of Economics
Time to Complete- 6 months (4 hours/week)
This is another mathematics specialization program, that covers all required math topics for Machine Learning and Data Science. In this specialization, you will learn Discrete Mathematics, Calculus, Linear Algebra, and Probability. This specialization covers a wide range of mathematical tools.
In this specialization, you will work on projects like- analyze social graphs, predict estate prices, and uncover hidden relations in the data.
Interested to Enroll?
If yes, then check out all details here- Mathematics for Data Science Specialization
And here we go!
So these are Top 10 data science courses in Coursera. I hope you have found these courses helpful.
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
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