Beginner’s Guide to Data & Data Analytics, by SF Data School

The Data Analytics Context We Wish We Had, When We First Started: Concepts, Tools, Roles, Processes, and Terms Explained

Created by: Colby Schrauth
Analytics Team Lead & Educator

Created by: Serge LeBlanc
Product Analytics Manager at Nerdwallet

What Will I Learn?

• Free access to our Data Fundamentals Handbook, which compliments the video content in this course in written form
• The world of data is massive, but that doesn't mean it has to be complicated. Cut through the noise and get a clear vision of the "Big Picture"
• Learn the distinguishing factors between Data Analytics, Data Science, and Data Engineering
• Discover data tools – which are the most popular, how they work together, and why some are preferred over others
• Demystify how data moves from collection to analysis, and what people, processes and technologies are involved
• Get a step-by-step learning roadmap to becoming a practitioner of Data Analytics, and insight in to career paths that are most relevant
• Context gives each of us the grounding we need to think about data more meaningfully and know it better. Learn to break down some of data's most prized concepts and terms

Requirements

• No requirements or experience necessary, just an interest to learn more about the world of data

Target audience

• People who want to learn more about data, but don't know where to start
• Anyone who believes that learning to work with data will change the way they do business, live their lives and help others
• Someone who wants to ultimately work with data tools and learn how to make data-driven decisions
• This course is the first step in learning how to work with data, building the context needed to understand the big picture
• This course is NOT an Excel or SQL tutorial