Welcome to the life of a data scientist

Contents

• Introduction Introduction

  • Welcome to the life of a data scientist

    35s
• 1. Time Management 1. Time Management

  • First hour of the day

    1m 4s
  • Handling distractions and delays

    1m 52s
  • Using to-do lists

    1m 14s
  • Unpacking the data

    1m 29s
  • Minimum viable product

    32s
  • Managing meetings

    1m 25s
  • Big picture thinking

    1m 32s
• 2. Working with Data 2. Working with Data

  • Exploratory data

    2m 3s
  • Biased data sets

    2m 57s
  • Responsibilities of data analytics

    1m 4s
  • Identifying the problem

    1m 17s
  • Presenting data findings

    3m 42s
  • Telling the story of the data

    1m 13s
• 3. Creating a Process 3. Creating a Process

  • Using data to solve business problems

    1m 4s
  • Automated analytics reporting

    1m 37s
  • Working cross-functionally

    50s
  • Setting key milestones

    1m 31s
  • Data analytics process

    5m 8s
  • How to measure success in data science

    1m 51s
• 4. Using Tools 4. Using Tools

  • Knowing when to use which tools

    1m 51s
  • Using open-source tools

    2m 42s
  • Python and pandas tools

    1m 35s
  • Jupyter Notebook tools

    56s
  • Tableau and G Suite visualization tools

    2m 15s
• 5. Structuring a Data Science Team 5. Structuring a Data Science Team

  • Centralized organization

    1m 57s
  • Development units

    58s
  • Remote teams

    47s
  • Hierarchy and roles

    2m 58s
  • A culture of collaboration

    2m 8s
• 6. Working with Teams 6. Working with Teams

  • Being a good team member

    1m 57s
  • Communication tools

    1m 7s
  • Communicating with your team

    1m 40s
  • Communicating with remote team members

    1m 25s
  • Getting feedback

    1m 4s
• 7. Working with Clients 7. Working with Clients

  • Serving the client

    2m 20s
  • Highly regulated clients

    1m 6s
• Conclusion Conclusion

  • The future of data analysis

    54s
  • Start your journey as a data scientist

    18s