Data Science has gotten popular in the last few years. Still, a lot of the associated concepts are unclear or misunderstood. There’s a communication gap between practicing data professionals and people who just want to get started in this field. If you are an aspiring data scientist — or someone who comes from the business side — we have good news: with this course we’ll close this gap for you!

Who is the course for?

This is an introductory course. There are no prerequisites to enroll. We will start from zero and go through every key concept thoroughly.

The Program 

1. Introduction.
2. About Tomi Mester.
3. Downloadable course materials (slides, PDFs, etc.).
4. What is Data Science.
5. A typical data science project step by step.
6. What is what. Clarifying the commonly misinterpreted key concepts.
7. Data roles: the different types of data professionals.
8. 14 typical data science projects, PART #1: Conversion rate optimization (CRO).
9. 14 typical data science projects, PART #2: Data analysis with your own tools (Python, SQL, etc.).
10. 14 typical data science projects, PART #3: Machine Learning projects!
11. How to get started with learning data science?
12. Downloadable course materials (slides, PDFs, etc.)

What will you learn

• You’ll clearly understand every key concept related to data science — so you can use them properly when you talk with your colleagues, managers and even with practicing data scientists at your company.
• You’ll have a clear picture about what works how and why — so you’ll understand how you can profit from applying data science.
• You’ll get inspired and will have enough base knowledge to get started with your own data science career.