DS/AI Self-Starter-Handbook

Companion GitHub notebook for 'DS/AI Self-Starter-Handbook'

About the Author

https://ankitrathi.com

Preface

Why this book?

What this book covers?

Who this book is for?

Please note that this book does not cover Data Science & Artificial Intelligence concepts.

1. Understanding the Big Picture

1.1 Navigating the landscape

1.2 Working on building blocks

1.3 Utilizing the resources

1.4 Building your portfolio

1.5 Networking & landing the job

1.6 Making Career Future-Proof

So rather than waiting for someone or technology to replace your labour, you’ll take a proactive approach to put yourself in a position where potential employers can’t afford to work without you.

1.7 Putting it all together

2. Navigating the Landscape

2.1 Multi-disciplinary field

2.2 Various Terminologies

2.3 Interconnection

2.4 DS/AI Roles

2.5 Academics Vs Industry

3 Working on Building Blocks

3.1 Concepts to Learn

Concepts to add:

Data Handling Skills

Resources to mention:

3.2 Process to Follow

3.3 Tools to Master

4 Utilizing the Resources

4.1 Books to Refer

4.2 Courses to Attend

4.3 Blogs to Follow

4.4 Podcasts to Listen

4.5 YouTube Channels

5 Building your Portfolio

5.1 Work on Public data-sets

5.2 Participate in Hackathons

5.3 Publish on Git-Hub

5.4 Write a Blog

6 Networking & Landing the Job

6.1 Network on LinkedIn

6.2 Prepare the CV

6.3 Crack the interview

7 Making Career Future-Proof

7.1 Build ‘Evolve’ Mindset

7.2 Hone Core Skills

7.3 Develop Soft Skills

7.4 Maintain Digital Portfolio

7.5 Expand Network Globally

7.6 Monitor Industry Trends

8 Putting It All Together

8.1 Avoid Being a Junkie

8.2 Learn to Solve

8.3 Just Enough Approach

8.4 Conclusion

ankit-rathi/Self-Starter-Handbook