O'Reilly logo

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Learning Path: Creating a Data Science Culture

Video Description

Get expert advice and best practices for various stages of your career in the field of data. Whether you are new to data science, an experienced practitioner, or an executive hiring for data science teams, this Learning Path will give you valuable insights into creating a culture and business model that makes the most of this emerging field. Upon completion, you’ll be able to successfully navigate the data science interview process, organize a data science team, and create a data governance program that is based on your particular business model.

Table of Contents

  1. Cracking the Data Science Interview
  2. Introduction
    1. Welcome and About the Authors 00:01:28
    2. Introduction to the Video Series 00:03:46
  3. Preparing for Interviews
    1. Building and Marketing Your Skills 00:18:34
    2. Understanding the Interview Process 00:04:09
    3. Getting Hired is a Skill 00:05:19
    4. Understanding the Data Science Skills Map 00:04:19
    5. Common Questions in Data Science Interviews 00:02:40
    6. Data Science Job Titles 00:02:40
  4. Getting Interviews
    1. How to Get Interviews 00:02:12
    2. The Interview Funnel 00:02:00
    3. Effective Strategies for Getting Hired 00:01:31
    4. Crafting a Sales Pitch 00:05:17
    5. Finding Quality Leads through Your Network 00:02:12
    6. Direct Messaging Your Sales Pitch 00:04:34
    7. Hard Work is Your Friend 00:02:36
  5. Real-World Experiences
    1. Introduction to Greg Kamradt 00:00:29
    2. Greg's Interview Funnel 00:02:30
    3. Sourcing Interviews 00:03:26
    4. Pitching 00:08:36
    5. Interviewing 00:13:14
  6. Mock Interviews
    1. Introduction to Mock Interviews 00:03:52
    2. Mock Interview: Software Engineering Technical 00:11:54
    3. Analysis of Software Engineering Technical Interview 00:08:24
    4. Mock Interview: Data Science Theory 00:13:12
    5. Analysis of Data Science Theory Interview 00:03:07
    6. Mock Interview: Applied Data Science 00:18:22
    7. Analysis of Applied Data Science Interview 00:05:40
  7. Negotiation
    1. Evaluating Offers 00:05:00
    2. What is a Data Scientist Worth? 00:02:51
    3. Negotiating Salary 00:02:33
    4. Many Things are Negotiable 00:04:47
    5. Help, I've Never Done This Before 00:01:44
    6. Giving Yourself Room to Grow 00:02:34
    7. Conclusion 00:00:50
  8. Building Data Science Teams
    1. Introduction - Building Data Science Teams 00:02:54
    2. Why are we here? 00:29:44
    3. Preparing your organization 00:15:09
    4. Hire the team 00:29:55
    5. Team Matrix 00:35:50
    6. Organization and Process 00:17:03
    7. Miscellaneous Caveats 00:16:12
  9. Building a Data Science Culture
    1. How to build your data team: Lessons from unicorn hunting in the wild - Katie Kent (Galvanize) 00:31:50
    2. Playing Nice in the Product Playground: Data Scientists, Engineers, and Product Managers Working Together to Create Innovative Data Products - Anu Tewary, Lucian Lita and Jonathan Goldman 00:47:16
    3. What Designers and Data Scientists Can Learn from Each Other - Danyel Fisher and Miriah Meyer 00:30:24
    4. Where the rubber meets the road: Decision-making based on data - Christine Foster (ShopKeep) 00:42:24
    5. Think like a data scientist: Build your big data blueprint - Bill Schmarzo (EMC Consulting) 00:45:58
    6. Designing with Data: A Human-centered Approach to Data-driven Design - Arianna McClain and Coe Leta Stafford 00:36:12
    7. Data (Art &) Science - Eric Colson 00:40:36
  10. Data Governance
    1. Welcome 00:01:10
    2. About the Course and Why Data Governance 00:19:13
    3. Data Governance Overview and Trends 00:18:48
    4. Business Driven Context: A Data Governance Framework 00:10:26
    5. Tools and Technologies of Traditional Enterprise Data - Impacted and Enabled by Data Governance 00:15:27
    6. Understanding Where Data Governance Came From and Understanding Where it is Going 00:06:15
    7. Business and Technology Frameworks: Your Key To Success 00:10:23
    8. The Data Governance Organization Model: Coordinated for Improved Enterprise Data 00:25:26
    9. Developing a Business Case for Data Governance: Identifying The Best Opportunities 00:27:36
    10. Planning for Changes to Data Management Practices: Change Management 101 00:15:28
    11. How to Implement Data Governance 00:13:31
    12. Case Study: Pot Holes and Intrigue 00:25:19
    13. Brief Intro to Agile & Coexistence with Data Management and Data Governance 00:12:37
    14. Brief Intro to Big Data and the Evolving Role of Data Governance 00:18:31