7 Best DataCamp Python Courses You Must Know in 2024

Do you want to learn Python and looking for the Best DataCamp Python Courses?… If yes, you are in the right place. In this article, I have listed the 7 Best DataCamp Python Courses.

So, give yourself a few minutes and find out the best resources to learn Python. You can bookmark this article so that you can refer to this article later.

Now without further ado, let’s get started-

Best DataCamp Python Courses

1. Introduction to Python

Rating- 4.7/5

Time to Complete- 4 hours

Best for- Beginners

This course is your starting point for learning Python, even if you’ve never coded before. You’ll cover the basics like using Python for math, understanding different types of information, and making lists.

Later, you’ll learn about functions, which are like shortcuts in Python, and packages, which are tools made by others that you can use. Finally, you’ll get to know NumPy, a helpful tool for working with data in Python.

By the end, you’ll have the basics down for using Python in data analysis and more.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check it out here– Introduction to Python

2. Intermediate Python

Rating- 4.6/5

Time to Complete- 4 hours

Best For- Intermediate

you’ll learn practical ways to use Python for data science. You’ll explore data visualization with Matplotlib, learn how to work with dictionaries and pandas DataFrames for managing data and discover advanced Python tricks.

Through hands-on activities, you’ll get the hang of creating and playing with datasets. Plus, you’ll dive into Python’s logic and loops, mastering how to make decisions and repeat tasks.

By the end, you’ll be all set to use your new skills in your job or projects, and you’ll be ready for more advanced Python learning.

Who Should Enroll?

• Those who have previous Python knowledge.

Interested in Enroll?

If yes, then check it out here– Intermediate Python

3. Introduction to Statistics in Python

Rating- 4.4/5

Time to Complete- 4 hours

Best For- Intermediate

In this course, you’ll dive into the world of statistics, learning how to collect, analyze, and interpret data. You’ll discover how to calculate averages, use scatterplots to visualize relationships, and understand the correlation.

Plus, you’ll delve into probability, the foundation of statistical reasoning. With the help of Python, you’ll conduct your own studies, drawing meaningful conclusions from data.

Whether you’re predicting product sales or planning inventory, this course will equip you with the skills to tackle real-world questions with confidence.

Who Should Enroll?

• Those who know data manipulation in pandas.

Interested in Enroll?

If yes, then check it out here– Introduction to Statistics in Python

4. Exploratory Data Analysis in Python

Rating- 4.7/5

Time to Complete- 4 hours

Best For- Intermediate

You’ll learn how to explore and analyze data step by step, from understanding what’s in a dataset to integrating your findings into a data science workflow.

Using real-world data on unemployment rates and plane ticket prices, you’ll harness Python to summarize and verify data, handle missing values, and clean up both numbers and categories. Along the way, you’ll create captivating Seaborn visualizations to grasp variables and their connections.

For instance, you’ll investigate the relationship between alcohol consumption and student performance. Finally, the course will demonstrate how exploratory insights feed into data science workflows by creating new features, balancing categories, and forming hypotheses.

By the course’s end, you’ll feel confident conducting your own exploratory data analysis (EDA) in Python. You’ll be able to visually explain your discoveries and propose the next steps for uncovering insights from your data!

Who Should Enroll?

• Those who have a previous understanding of statistics and data visualization in Python.

Interested in Enroll?

If yes, then check it out here– Exploratory Data Analysis in Python

5. Introduction to Data Science in Python

Rating- 4.6/5

Time to Complete- 4 hours

Best For- Beginners

Ready to start your journey into Data Science? Even if you’ve never tried coding before, this course is for you.

You’ll join an adventure where you’ll use Python to solve the mystery of Bayes, the missing Golden Retriever. As you go, you’ll get the hang of basic Python and handy tools like Matplotlib (for making charts) and pandas (for organizing data).

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check it out here– Introduction to Data Science in Python

6. Cleaning Data in Python

Rating- 4.3/5

Time to Complete- 4 hours

Best For- Intermediate

In this course, you’ll learn how to spot, fix, and prevent common data problems in Python, from basic to advanced. From handling wrong data types to linking records, you’ll gain essential skills to clean and merge datasets effectively.

By the end, you’ll feel confident in handling various data types and using record linkage to merge datasets, essential for any data scientist.

Who Should Enroll?

• Those who have previous knowledge of joining data with Pandas.

Interested in Enroll?

If yes, then check it out here– Cleaning Data in Python

7. Introduction to Natural Language Processing in Python

Rating- 4.0/5

Time to Complete- 4 hours

Best For- Intermediate

In this course, you’ll discover the basics of natural language processing (NLP). You’ll learn how to spot and separate words, uncover topics in text, and create a fake news detector.

Using simple libraries like NLTK and more advanced ones using deep learning, you’ll tackle common NLP challenges. This course sets you up with the skills to handle and understand text as you progress in learning Python.

Who Should Enroll?

• Those who have previous knowledge of data science with Python.

Interested in Enroll?

If yes, then check it out here– Introduction to Natural Language Processing in Python

Summary of Best DataCamp Python Courses

Here’s a summary table of the seven DataCamp Python courses:

Course Name	Description
Introduction to Python	Basic introduction to Python programming language.
Intermediate Python	Builds on basic Python skills, covering more advanced concepts.
Introduction to Statistics in Python	Covers statistical concepts and their implementation in Python.
Exploratory Data Analysis in Python	Teaches how to explore and analyze data using Python.
Introduction to Data Science in Python	Provides an overview of data science concepts and tools in Python.
Cleaning Data in Python	Focuses on cleaning and preprocessing data using Python.
Introduction to Natural Language Processing in Python	Introduces basics of natural language processing (NLP) using Python.

And here the list ends. I hope these resources will help you to learn and master Python. 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 all the Best DataCamp Python Courses. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

Though of the Day…

‘“Live as if you were to die tomorrow. Learn as if you were to live forever.” 

– Mahatma Gandhi