Datacamp Python 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.
What Datacamp Offers to Learn Python
If you are interested solely in using Datacamp for Python Programming, this article is focused on this topic. If you want to know more about Datacamp and what it offers, read this Datacamp review.
DataCamp Review
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 this programming language: courses, skill tracks and career tracks.
==>> Check here for the complete list.
Now, let’s see what you can choose from among each of them.
Skill Tracks
DataCamp has 17 skill tracks focused on this programming language. 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.
| Name | Courses included | Hours to complete | Description |
| Python Fundamentals | 4 | 15 | Manipulating dictionaries and DataFrames, writing Python functions, basics of data visualization. |
| Python Programming | 6 | 24 | Focusing on optimizing code, writing functions, and unit tests. |
| Importing & Cleaning Data | 5 | 17 | Importing and cleaning data as well as working with APIs and web data. |
| Data Manipulation | 4 | 16 | Using pandas, transforming, sorting, and filtering data in DataFrames. |
| Machine Learning Fundamentals | 5 | 20 | Basics of Machine Learning with information on prediction, pattern recognition, and the beginnings of Deep Learning. |
| Deep Learning | 5 | 20 | Working with neural networks using Keras, TensorFlow, and PyTorch libraries. |
| Time Series | 5 | 20 | Using pandas, NumPy, and Matplotlib to manipulate, interpret, and visualize time series data in Python. |
| Statistics Fundamentals | 5 | 19 | Evaluating statistical models, simulating data, and drawing data-based conclusions. |
| Data Visualization | 5 | 20 | Learning to work with Python data visualization libraries. |
| Image Processing | 3 | 12 | Learning image pre-processing and advancing to deep learning. |
| Python Toolbox | 5 | 20 | Learning techniques for handling missing data and datetimes, learning regular expressions for using in Python code. |
| Big Data with PySpark | 6 | 24 | Learn Apache Spark with Spark Python API. |
| Natural Language Processing | 6 | 25 | Fundamentals of natural language processing, learning how to transcribe and extract information. |
| Deep Learning for NLP | 3 | 12 | Working with natural language processing using scikit-learn, TensorFlow, Keras, and NLTK. |
| Marketing Analytics | 7 | 28 | Analyzing marketing campaigns and social media data, using machine learning to predict customer behavior. |
| Finance Fundamentals | 6 | 25 | A basic course that shows how to use pandas, NumPy, statsmodels, and pyfolio libraries to make data-driven financial decisions. |
| Applied Finance | 4 | 16 | Includes evaluating portfolios, calculating credit risk, and creating GARCH models to forecast volatility. |
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.
- Data Analyst (16 courses | 62 hours). Focused on data analyst skills to prepare, analyze, and present data.
- Data Scientist (23 courses | 88 hours) It covers basic 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.
- Python Programmer (16 courses | 63 hours) Learning topics from data manipulation to unit testing.
- 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.
- 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 courses and 48 projects on Python. 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 topics as Importing & Cleaning Data, Probability & Statistics, Machine Learning, Applied Finance and others.
Here are just some of the examples:
- Data Manipulation with pandas
- Statistical Thinking in Python
- Machine Learning with Tree-Based Models in Python
- Introduction to TensorFlow in Python
- Web Scraping in Python
And many more.
Here are some examples of Python projects:
- Classify Song Genres from Audio Data
- Predicting Credit Card Approvals
- Comparing Cosmetics by Ingredients
- A Network Analysis of Game of Thrones
- Give Life: Predict Blood Donations
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:
- Start with a short course like Introduction to Python, a free basic course.
- If you already have some Python skills but don’t know what to continue with, pick courses like Intermediate Python, Object-Oriented Programming in Python, or Writing Functions in Python.
- If you are planning to work as a data analyst or data scientist, start with basic courses like Introduction to Data Science in Python, Data Manipulation with pandas, or Cleaning Data in Python.
- If you have a specific field of interest like Marketing or a specific task like scraping a website, choose courses accordingly (e.g. Analyzing Marketing Campaigns with pandas or Web Scraping).
Yes, Python is one of the focus skills DataCamp’s courses teach. The comapny uses Python as the main programming language in Data Science, Data Analytics, Machine Learning, and other courses.
The majority of DataCamp courses are paid with the first chapters available for free. However, there are free courses like Introduction to Python where all 4 chapters can be accessed at no cost.
Different courses on DataCamp use different Python packages. The majority are based on NumPy, Pandas, and Matplotlib.
Introduction to Python is one of the best courses for beginners. It covers basic concepts of Python, lists, functions, methods, and packages. It also shows how to work with NumPy, a fundamental Python package.
It will take 3-4 hours to complete a single Python course on DataCamp.
Yes, DataCamp provides a number of Python courses that are helpful for learning Python. DataCam is the best option for beginners who have no experience with this programming language.
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 courses, projects, and a handy interface for practicing this programming language. 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.
