This Book will Help you Land a Data Science Job

Are you interested in a career in Data Science? In this video, I will be reviewing this awesome book “Build a Career in Data Science” published by Manning. Particularly, this book provides practical advices that will help you to navigate your way from an Aspiring Data Scientist through to becoming a Data Science Manager.

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⭕ Links for this video:
✅ Building a Career in Data Science book: https://amzn.to/3mZvZz5

Build a Career in Data Science
Table of Contents:
PART 1 - GETTING STARTED WITH DATA SCIENCE
1. What is data science?
2. Data science companies
3. Getting the skills
4. Building a portfolio
PART 2 - FINDING YOUR DATA SCIENCE JOB
5. The search: Identifying the right job for you
6. The application: Résumés and cover letters
7. The interview: What to expect and how to handle it
8. The offer: Knowing what to accept
PART 3 - SETTLING INTO DATA SCIENCE
9. The first months on the job
10. Making an effective analysis
11. Deploying a model into production
12. Working with stakeholders
PART 4 - GROWING IN YOUR DATA SCIENCE ROLE
13. When your data science project fails
14. Joining the data science community
15. Leaving your job gracefully
16. Moving up the ladder

⭕ Playlist:
Check out our other videos in the following playlists.
✅ Data Science 101: https://bit.ly/dataprofessor-ds101
✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast
✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship
✅ Bioinformatics: http://bit.ly/dataprofessor-bioinformatics
✅ Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox
✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit
✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny
✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab
✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas
✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds
✅ R Data Science Project: https://bit.ly/dataprofessor-r-ds
✅ Weka (No Code Machine Learning): http://bit.ly/dp-weka

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⭕ Recommended Books:
✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt
✅ Data Science from Scratch : https://amzn.to/3fO0JiZ
✅ Python Data Science Handbook : https://amzn.to/37Tvf8n
✅ R for Data Science : https://amzn.to/2YCPcgW
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv
✅ AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd

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