10 Best Online Python Courses for Data Analysis in 2024

Python is the internationally acclaimed programming language that will help you to handle data in a better way. Python has a wide variety of libraries(NumPy, Pandas, and Matplotlib) for data analytics tasks. So if you are looking for Best Online Python Courses for Data Analysis, then this article is for you.

In this article, you will find the 10 best online Python courses for data analysis. And these courses are filtered out on the following criteria-

Criteria-

1. Rating of these Courses.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

So, without wasting your time, let’s start finding the best online Python courses for data analysis.

Best Online Python Courses for Data Analysis

1. Data Analyst with Python– DataCamp

Time to Complete- 62 hours

This is a Career Track offered by Datacamp. In this career track, there are 16 courses in a step-by-step manner, where you will learn how to import, clean, manipulate, and visualize data.

The best part of this career track is that you will get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. You will also work with real-world datasets, including data from the Titanic and from Twitter’s streaming API.

Who Should Enroll?

• Those who are complete beginners and want to learn data analytics with Python.

Interested to Enroll?

If yes, then check- Data Analyst with Python

2. Become a Data Analyst– Udacity

Rating- 4.7/5

Time to Complete- 4 months

This is a Nano-Degree Program by Udacity. In this Nano-Degree Program, you will learn how to manipulate and prepare data for analysis, and create visualizations for data exploration. 

You will learn Practical Statistics, Data Wrangling, and Data Visualization with Python. This program uses Python and SQL. In this Nanodegree program, you will also learn how to apply inferential statistics and probability to real-world scenarios and how to use logistic regression results to make a prediction.

Extra Benefits-

• You will get a chance to work on Real-world projects with Industry Experts.
• You will get Technical mentor support.
• Along with that, you will get career services.

Who Should Enroll?

• Those who have experience in working with data in Python (specifically NumPy and Pandas) and SQL.

Interested to Enroll?

If yes, then check- Become a Data Analyst

3. Data Analysis with Python– Coursera

Provider- 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, and 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

4. IBM Data Analyst Professional Certificate– Coursera

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, and 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.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and 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- IBM Data Analyst Professional Certificate

5. Data Analysis with Pandas and Python– Udemy

Rating- 4.7/5

Time to Complete- 20.5 hours

This is another best course for data analysis using Python. In this course, you will learn about Pandas in a step-by-step manner, from installation to visualization. The best part about this course is that the instructor uses a good number of examples.

The course begins with the Installation and setup tutorial then you will learn about Data Frames and how to work with text data. Throughout this course, you will dive into dozens of datasets.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get full lifetime access and 11 articles, 4 downloadable resources, 8 coding exercises, and lifetime access to the course material.

Who Should Enroll?

• Those who have basic experience with Python programming and strong knowledge of data types (strings, integers, floating points, booleans), etc.

Interested to Enroll?

If yes, then check out the details here- Data Analysis with Pandas and Python

6. Predictive Analytics using Python– edX

Provider- The University of Edinburgh

Time to Complete- 8 months (If you spend 8 – 10 hours per week)

This is a Micro Masters program with 5 courses available on edX. In this program, you will learn how to prepare data for predictive modeling, data mining, and advanced analytics using Python programming. Throughout this course, you will apply a wide range of statistical and machine learning methodologies to real-life datasets.

Extra Benefits-

• You will get a Certificate of completion.

Who Should Enroll?

• Those who have an undergraduate-level experience in mathematics, statistics, or programming (Java, C, Python, Visual Basic).

Interested to Enroll?

If yes, then check out the details here- Predictive Analytics using Python

7. Python Data Analysis– Coursera

Provider- 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, and Graded Programming Assignments.

Who Should Enroll?

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

Interested to Enroll?

If yes, then check- Python Data Analysis

8. Intro to Data Analysis– Udacity

Time to Complete– 6 Weeks

This is a completely free course and a good first step towards understanding the data analysis process. In this course, you will learn the entire data analysis process including posing a question, data wrangling, exploring the data, drawing conclusions, and communicating your findings. This course will also teach Python libraries NumPy, Pandas, and Matplotlib.

You Should Enroll if-

• You are comfortable with Python programming.

Interested to Enroll?

If yes, then start learning- Intro to Data Analysis

9. Master Data Analysis with Python– Udemy

Rating- 4.6/5

Time to Complete- 5hr 9min

This is another completely free data analysis course. This course will teach the components of the two primary pandas objects, the DataFrame and Series. In this course, all material and exercises are written in Jupyter Notebooks, which you can download.

But this course doesn’t cover all of the panda’s libraries. This course covers only a small and fundamental portion of it. This course is good to understand the deep introduction to subset selection of a DataFrame or Series.

You Should Enroll if-

• You understand the fundamentals of Python.

Interested to Enroll?

If yes, then start learning- Master Data Analysis with Python

10. Exploratory Data Analysis in Python– DataCamp

In DataCamp, full courses are not free. Only the first lesson of all courses is free. Similarly, in this course, you will get access to its first lesson free of cost. So, in the first lesson of this course, you will learn how to read the data, check for errors and special cases, and prepare data for analysis.

You Should Enroll if-

• You have prior Python knowledge.

Interested to Enroll?

If yes, then start learning- Exploratory Data Analysis in Python

And here the list ends. I hope these Best Online Python Courses for Data Analysis will definitely help you. 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 10 Best Online Python Courses for Data Analysis. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

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