Data Analytics

Python programming skills

Python packages and libraries

Exploratory data analysis

Data manipulation

Data visualization

Statistical modelling

you are able to understand and speak English

you have experience in self-study

you can commit at least 10 hours a week (classes + self-study) 80% attendance of the course is required for graduation.

you have a good understanding of Python

you registered on dataquest.io and finished the following modules:

Python for Data Science: Fundamentals (first 3 modules only)

Python Intermediate: Cleaning and Preparing Data in Python

Pandas and NumPy Fundamentals (first 3 modules)

Elements of the Command Line (first module only)

• Soft skills trainings

• Company visits

• Career Coach

The workshops and company visits add an extra day of classes every week. This is why you should expect to use around 10 hours a week on this course.