A Day In The Life of a Data Scientist

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.

Introduction

• Welcome to the life of a data scientist

1. Time Management

• First hour of the day
• Handling distractions and delays
• Using to-do lists
• Unpacking the data
• Minimum viable product
• Managing meetings
• Big picture thinking

2. Working with Data

• Exploratory data
• Biased data sets
• Responsibilities of data analytics
• Identifying the problem
• Presenting data findings
• Telling the story of the data

3. Creating a Process

• 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

4. Using Tools

• Knowing when to use which tools
• Using open-source tools
• Python and pandas tools
• Jupyter Notebook tools
• Tableau and G Suite visualization tools

5. Structuring a Data Science Team

• Centralized organization
• Development units
• Remote teams
• Hierarchy and roles
• A culture of collaboration

6. Working with Teams

• Being a good team member
• Communication tools
• Communicating with your team
• Communicating with remote team members
• Getting feedback

7. Working with Clients

• Serving the client
• Highly regulated clients

Conclusion

• The future of data analysis
• Start your journey as a data scientist