🥗DataCamp Courses

The following list shows the required DataCamp courses for the Data Science with Python Track at TechAcademy.

• As a beginner, please stick to the courses of the “beginner” program.

• Ambitious beginners can, of course, take the advanced courses afterward.

• The same applies to the advanced courses.

You should finish the specified courses in the given order. Since it can, of course, happen that you have already mastered the topics of an advanced course, you can replace some courses. If you are convinced that the course does not add value to you, feel free to replace it with one of the courses in the “Exchange Pool” (see list below).

To receive the certificate, both beginners and advanced learners must complete at least 6 courses of the curriculum. After completing the curriculum and the project’s requirements, you will receive your TechAcademy certificate!

Data Science with Python Fundamentals (Beginner)

1. Introduction to Data Science in Python (4h)

2. Intermediate Python (4h)

3. Foundations of Git (2h)

4. Data Manipulation with pandas (4h)

5. Cleaning Data in Python (4h)

6. Data Visualization with Seaborn (4h)

7. Exploratory Data Analysis in Python (4h)

8. AI-Fundamentals (Interesting)

9. Python for Data Science Toolbox (Part 1) (3h)

Data Science with Python (Advanced)

1. Intermediate Python (4h)

2. Data Manipulation with pandas (4h)

3. Cleaning Data in Python (4h)

4. Data Visualization with Seaborn (4h)

5. Python Data Science Toolbox (Part 2) (4h)

6. Machine Learning with Tree-Based Models in Python(Important)

7. Writing Efficient Code with pandas (4h)

Data Science with Python (Advanced) - Exchange Pool

• Extreme Gradient Boosting with XGBoost(Interesting)

• Introduction to Data Visualization with Matplotlib (4h)

• Introduction to Data Visualization with Plotly in Python 4h)

• Intermediate Regression with Statsmodels in Python (4h)

• Machine Learning in Scikit-learn 4h)

• Writing Efficient Python Code (4h)