Datacamp Python Courses Review

Datacamp is an online course provider that specializes in data-related skills. It offers online courses on Python, R, and SQL. This Datacamp Python review will focus specifically on this programming language.

Datacamp Python Review

If you want to know more about Datacamp and what it offers, read this Datacamp review. If you are interested solely in Python courses by Datacamp, this article is focused on this topic.

You can navigate to all the content related to Python by clicking on the Products in the menu and then by choosing Python under the Course Catalog section. Then, you will be taken to the page, where you can choose either a skill track, which is a longer form of content, or a course, which is a shorter form of learning.

On Datacamp, you can choose among 3 learning formats to learn Python.

  • Courses – short 3-4 hours programs focused on a specific narrow topic.
  • Skill Tracks – longer programs that consist of a series of courses.
  • Career Tracks – the longest form of learning which includes a number of courses and made to prepare you for a new career.

Here you can find all the Datacamp Python Courses, Skill Tracks, and Career Tracks.

Now, let’s see what you can choose from among each of them.

DataCamp Python Skill Tracks

There are 17 skill tracks focused on Python on Datacamp. You can find them by clicking on See all skill tracks (51) in the Products tab of the menu; then choose Python in the filter on the page.

Here is the list of all the 17 Pyhton skill tracks with additional information on each.

NameCourses includedHours to completeDescription
Python Fundamentals4 15 Manipulating dictionaries and DataFrames, writing Python functions, basics of data visualization.
Python Programming624Focusing on optimizing code, writing functions, and unit tests.
Importing & Cleaning Data517Importing and cleaning data as well as working with APIs and web data.
Data Manipulation4 16Using pandas, transforming, sorting, and filtering data in DataFrames.
Machine Learning Fundamentals520Basics of Machine Learning with information on prediction, pattern recognition, and the beginnings of Deep Learning.
Deep Learning520Working with neural networks using Keras, TensorFlow, and PyTorch libraries.
Time Series520Using pandas, NumPy, and Matplotlib to manipulate, interpret, and visualize time series data in Python.
Statistics Fundamentals519Evaluating statistical models, simulating data, and drawing data-based conclusions.
Data Visualization520Learning to work with Python data visualization libraries.
Image Processing312Learning image pre-processing and advancing to deep learning.
Python Toolbox520Learning techniques for handling missing data and datetimes, learning regular expressions for using in Python code.
Big Data with PySpark624Learn Apache Spark with Spark Python API.
Natural Language Processing625Fundamentals of natural language processing, learning how to transcribe and extract information.
Deep Learning for NLP312Working with natural language processing using scikit-learn, TensorFlow, Keras, and NLTK.
Marketing Analytics728Analyzing marketing campaigns and social media data, using machine learning to predict customer behavior.
Finance Fundamentals625A basic course that shows how to use pandas, NumPy, statsmodels, and pyfolio libraries to make data-driven financial decisions.
Applied Finance416Includes evaluating portfolios, calculating credit risk, and creating GARCH models to forecast volatility.

DataCamp Python Career Tracks

Career Tracks are long programs designed to prepare a person for a new career. There are 5 career tracks on DataCamp which are focused on Python skills.

  1. Data Analyst (16 courses | 62 hours). Focused on data analyst skills to prepare, analyze, and present data.
  2. Data Scientist (23 courses | 88 hours) It covers basic Python topics like data types and functions and then proceeds to more data-focused ones like Data manipulation with Pandas, Data Visualisation with Matplotlib and Seaborn. The track also includes classes on Statistics and Machine Learning.
  3. Python Programmer (16 courses | 63 hours) Learning topics from data manipulation to unit testing.
  4. Machine Learning Scientist (23 courses | 93 hours) It shows how to train models, evaluate their performance and improve or customize it by tuning parameters. This track also covers such topics as NLP, working with images and using Spark and Keras.
  5. Data Engineer (25 courses | 95 hours) – Business-oriented program that shows how to efficiently ingest, manage, and warehouse data.

Datacamp Python Courses

Generally, there are 145 Python courses and 48 Python projects. You can choose the needed one by choosing Python as Technology in the filter and then, choose the topic itself. On Datacamp you can find such Python topics as Importing & Cleaning Data, Probability & Statistics, Machine Learning, Applied Finance and others.

Here are just some of the examples:

And many more

Here are some examples of Python projects:

How to Choose a Python Course on DataCamp?

There are so many courses on Datacamp that it might be hard to make a choice. Here are some tips to consider:

How good is Datacamp for Python?

Datacamp is one of the best e-learning platforms to learn Python as it offers a huge variety of Python topics, projects, and a handy interface for practicing. However, the courses seem to be the most useful for beginners and might not be as good for advanced Python programmers.

Moreover, if your goal is becoming a data scientist or a data analyst, Datacamp is good at teaching practical skills like programming itself but you won’t learn other skills like critical thinking needed for this job. 

Check out alternatives to Datacamp Python courses in this article.

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