🥗DataCamp Courses

DataCamp courses and Curriculum

The following list shows the required DataCamp courses for the Data Science with R 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. However, it would be best if you worked through the courses in the order we listed them.

The same applies to the advanced courses. Here, too, 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 in R Fundamentals (Beginner)

1. Introduction to R (4h)

2. Intermediate R (6h)

3. Foundations of Git (2h)

4. Data Manipulation with dplyr (4h)

5. Cleaning Data in R (4h)

6. Introduction to Data Visualization with ggplot2 (4h)

7. Working with Dates and Times in R (4h)

8. Exploratory Data Analysis in R (4h)

9. Introduction to Importing Data in R (3h)

Data Science in R (Advanced)

1. Intermediate R (6h)

2. Data Manipulation with dplyr (4h)

3. Supervised Learning in R (4h)

4. Dimensionality Reduction in R (4h)

5. Machine Learning with Tree Based Models in R (4h)

6. Reporting with R Markdown (4h)

7. Advanced Dimensionality Reduction in R (4h)

Data Science in R (Advanced) – Exchange Pool

• Intermediate Data Visualization with ggplot2

• Cleaning Data in R (4h)

• Introduction to Writing Functions in R (4h)

• Machine Learning in Tidyverse (5h)

• Writing Efficient R Code (4h)