Follow along with one day in the life of real data scientists working on real projects. Get on-the-job insights to help prepare you to tackle the next challenge or choose your next data science role.
Overview
Syllabus
Introduction
- Welcome to the life of a data scientist
- First hour of the day
- Handling distractions and delays
- Using to-do lists
- Unpacking the data
- Minimum viable product
- Managing meetings
- Big picture thinking
- Exploratory data
- Biased data sets
- Responsibilities of data analytics
- Identifying the problem
- Presenting data findings
- Telling the story of the data
- Using data to solve business problems
- Automated analytics reporting
- Working cross-functionally
- Setting key milestones
- Data analytics process
- How to measure success in data science
- Knowing when to use which tools
- Using open-source tools
- Python and pandas tools
- Jupyter Notebook tools
- Tableau and G Suite visualization tools
- Centralized organization
- Development units
- Remote teams
- Hierarchy and roles
- A culture of collaboration
- Being a good team member
- Communication tools
- Communicating with your team
- Communicating with remote team members
- Getting feedback
- Serving the client
- Highly regulated clients
- The future of data analysis
- Start your journey as a data scientist
Taught by
Lacey Westphal, Sam Cvetkovski, Alfonso Berumen, Louis Tremblay, Sara Anstey and Madecraft
