DataCamp offers a large number of Python courses differentiated by the experience required. In this article, we’ve listed the top 15 DataCamp Python courses.
All the Python courses mentioned in this article provide code exercises and quizzes along with video lessons taught by professional Python programmers.
What is DataCamp?
DataCamp is an e-learning platform that offers a variety of data science courses using Python, R, and SQL. The platform has more than 3+ million users and is one of the most loved platforms by data science students.
If you’d like to learn in detail about DataCamp and why it stands out from any other data science e-learning platform, make sure to visit: DataCamp Review – Here’s What You Should Know Before Joining.
1. Introduction to Python Course by DataCamp – Enroll in Course
The ‘Introduction to Python’ course taught by Hugo Bowne-Anderson is the perfect course for a beginner looking to get into Python programming.
The course offers 4 different chapters:
- Python Basics (Free)
- Python Lists
- Functions and Packages
- NumPy
Click here to enroll in the ‘Introduction to Python’ course by DataCamp.
2. Intermediate Python Course by DataCamp – Enroll in Course
The ‘Intermediate Python’ course by DataCamp is taught by Hugo Bowne-Anderson and is a step up from the ‘Introduction to Python’ course.
The course offers 5 different chapters:
- Matplotlib (Free)
- Dictionaries & Pandas
- Logic, Control Flow and Filtering
- Loops
- Case Study: Hacker Statistics
Click here to enroll in the ‘Intermediate Python’ course by DataCamp.
3. Python Data Science Toolbox (Part 1) by DataCamp – Enroll in Course
The ‘Python Data Science Toolbox (Part 1)’ by DataCamp is taught by Hugo Bowne-Anderson and covers a list of techniques needed to work on data science using DataCamp.
The course offers 3 different chapters:
- Writing your own functions (Free)
- Default arguments, variable-length arguments and scope
- Lambda functions and error-handling
Click here to enroll in the ‘Python Data Science Toolbox (Part 1)’ course by DataCamp.
4. Python Data Science Toolbox (Part 2) by DataCamp – Enroll in Course
The ‘Python Data Science Toolbox (Part 2)’ by DataCamp is taught by Hugo Bowne-Anderson and is a step up from Part 1 that covers a list of techniques needed to work on data science using DataCamp.
The course offers 3 different chapters:
- Using iterators in PythonLand (Free)
- List comprehensions and generators
- Bringing it all together!
Click here to enroll in the ‘Python Data Science Toolbox (Part 2)’ course by DataCamp.
5. Introduction to Importing Data in Python by DataCamp – Enroll in Course
The ‘Introduction to Importing Data in Python’ course by DataCamp is taught by Hugo Bowne-Anderson and covers the basics of how to import data in Python by working with different file types such as HDF5 files, CSV, etc.
The course offers 3 different chapters:
- Introduction and flat files (Free)
- Importing data from other file types
- Working with relational databases in Python
Click here to enroll in the ‘Introduction to Importing Data in Python’ course by DataCamp.
6. Cleaning Data in Python Course by DataCamp – Enroll in Course
The ‘Cleaning Data in Python’ by DataCamp is taught by Adel Nehme and covers common and advanced data cleaning problems with numerical and categorical data.
The course offers 4 different chapters:
- Common data problems (Free)
- Text and categorical data problems
- Advanced data problems
- Record linkage
Click here to enroll in the ‘Cleaning Data in Python’ course by DataCamp.
7. Writing Efficient Python Code Course by DataCamp – Enroll in Course
The ‘Writing Efficient Python Code’ course by DataCamp is taught by Logan Thomas and covers different concepts to write efficient Python code using profilers and timers.
The course offers 4 different chapters:
- Foundations for efficiencies (Free)
- Timing and profiling code
- Gaining efficiencies
- Basic pandas optimizations
Click here to enroll in the ‘Writing Efficient Python Code’ course by DataCamp.
8. Object-Oriented Programming in Python Course by DataCamp – Enroll in Course
The ‘Object-Oriented Programming in Python’ course by DataCamp is taught by Alex Yarosh and covers basic as well as advanced concepts of OOP in Python.
The course offers 4 different chapters:
- OOP Fundamentals (Free)
- Inheritance and Polymorphism
- Integrating with Standard Python
- Best Practices of Class Design
Click here to enroll in the ‘Object-Oriented Programming in Python’ course by DataCamp.
9. Writing Functions in Python Course by DataCamp – Enroll in Course
The ‘Writing Functions in Python’ course by DataCamp is taught by Shayne Miel and covers advanced Python concepts such as Context Managers and Decorators.
The course offers 4 different chapters:
- Best Practices (Free)
- Context Managers
- Decorators
- More on Decorators
Click here to enroll in the ‘Writing Functions in Python’ course by DataCamp.
10. Cluster Analysis in Python course by DataCamp – Enroll in Course
The ‘Cluster Analysis in Python’ course by DataCamp is taught by Shaumik Daityari and covers different clustering topics such as Hierarchical Clustering and K-Means Clustering in Python.
The course offers 4 different chapters:
- Introduction to Clustering (Free)
- Hierarchical Clustering
- K-Means Clustering
- Clustering in Real World
Click here to enroll in the ‘Cluster Analysis in Python’ course by DataCamp.
11. Web Scraping in Python by DataCamp – Enroll in Course
The ‘Web Scraping in Python’ course by DataCamp is taught by Thomas Laetsch and covers how to perform web scraping using CSS classes, XPath and Spiders.
The course offers 4 different chapters:
- Introduction to HTML (Free)
- XPaths and Selectors
- CSS Locators, Chaining, and Responses
- Spiders
Click here to enroll in the ‘Web Scraping in Python’ course by DataCamp.
12. Working with Dates and Times in Python by DataCamp – Enroll in Course
The ‘Working with Dates and Times in Python’ course by DataCamp is taught by Max Shron and covers how to work with datetime values in Python.
The course offers 4 different chapters:
- Dates and Calendars (Free)
- Combining Dates and Times
- Time Zones and Daylight Saving
- Easy and Powerful: Dates and Times in Pandas
Click here to enroll in the ‘Working with Dates and Times in Python’ course by DataCamp.
13. Introduction to Python for Finance Course by DataCamp – Enroll in Course
The ‘Introduction to Python for Finance’ course by DataCamp taught by Adina Howe and covers how to work with time-series data in Python.
The course offers 5 different chapters:
- Welcome to Python (Free)
- Lists
- Arrays in Python
- Visualization in Python
- S&P 100 Case Study
Click here to enroll in the ‘Introduction to Python for Finance’ course by DataCamp.
14. Image Processing in Python Course by DataCamp – Enroll in Course
The ‘Image Processing in Python’ course by DataCamp taught by Rebeca Gonzalez and covers how to restore damaged images, perform noise reduction, smart-resize images, count the number of dots on a dice, apply facial detection, and much more, using scikit-image in Python.
The course offers 4 different chapters:
- Introducing Image Processing and scikit-image (Free)
- Filters, Contrast, Transformation and Morphology
- Image restoration, Noise, Segmentation and Contours
- Advanced Operations, Detecting Faces and Features
Click here to enroll in the ‘Image Processing in Python’ course by DataCamp.
15. Regular Expressions in Python Course by DataCamp – Enroll in Course
The ‘Regular Expressions in Python’ course by DataCamp is taught by Chris Holdgraf and covers how to split strings, join them back together, interpolate them, as well as detect, extract, replace, and match strings using regular expressions
The course offers 4 different chapters:
- Basic Concepts of String Manipulation (Free)
- Formatting Strings
- Regular Expressions for Pattern Matching
- Advanced Regular Expression Concepts
Click here to enroll in the ‘Regular Expressions in Python’ course by DataCamp.
In Conclusion
That’s it for this list of Top 15 DataCamp Python Courses! If you have any more suggestions, please write to us in the comments.
Do you want to learn Python, Data Science, and Machine Learning while getting certified? Here are some best selling Datacamp courses that we recommend you enroll in:
- Introduction to Python (Free Course) - 1,000,000+ students already enrolled!
- Introduction to Data Science in Python- 400,000+ students already enrolled!
- Introduction to TensorFlow for Deep Learning with Python - 90,000+ students already enrolled!
- Data Science and Machine Learning Bootcamp with R - 70,000+ students already enrolled!
