Being a successful data scientist takes more than just knowing how to make sense out of big sets of data. You also need to understand business issues, decision making processes and how to address users and management with new insights.
Therefore, starting and developing a data science career requires many decisions. The main steps to decide on are:
Step 1: What is the right ambition level and type of education to choose
Step 2: What technologies to learn
Step 3: What project methodology to master
Step 4: How to secure the impact of your data science work with a focus on decision making
In this whitepaper we will share our main best practices on these four steps.