Data Science from Scratch: First Principles with Python book

Data Science from Scratch: First Principles with Python

Joel Grus  

 11 Key ideas

 28 MINS

 4.5 (116)

Technology & Future  

Ever wondered how Scott Fitzgerald's words, neural networks, and Simpson’s Paradox connect in the world of data science?

Dive into the transformative journey of turning raw data into actionable insights, from building predictive models for public sentiment with Twitter APIs to designing decision trees that simplify hiring. With tools like Python, Beautiful Soup, and SQL, and techniques ranging from regression to clustering, this guide unravels the mysteries of data.

Ever wondered how Scott Fitzgerald's words, neural networks, and Simpson’s Paradox connect in the world of data science?

Dive into the transformative journey of turning raw data into actionable insights, from building predictive models for public sentiment with Twitter APIs to designing decision trees that simplify hiring. With tools like Python, Beautiful Soup, and SQL, and techniques ranging from regression to clustering, this guide unravels the mysteries of data.

 

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Key Ideas

Read | Listen - Full summary

#1

Can You Become the Ultimate Connector in the DataSciencester Network?

01:58

01:58


#2

Crafting Data Narratives: From Matplotlib Magic to Linear Algebra Mastery

02:37

02:37


#3

Can DataSciencester Unlock the Secrets of Correlation with a Little Help from Statistics?

02:17

02:17


#4

From Coin Tosses to Code: Unraveling Data Science Mysteries with Hypothesis Testing and Gradient Descent

02:29

02:29


#5

Is Scott Fitzgerald's Wisdom the Key to Mastering Data Science's Endless Data Cleanup?

03:08

03:08


#6

Decoding Machine Learning: Beyond the Hype and Misconceptions

02:35

02:35


#7

Can Linear Regression Unlock the Secrets of DataSciencester User Activity?

02:32

02:32


#8

Unlocking Data Secrets: Decision Trees and Clustering Demystified

02:53

02:53


#9

Can NLP Techniques Transform How We Understand Language and Networks?

02:46

02:46


#10

Unlocking Data Science: From SQL Mastery to Python Creativity

03:05

03:05


#11

Final Recap

01:58

01:58



About Author

Joel Grus is a data scientist, software engineer, and author known for his work in the field of data science. He wrote "Data Science from Scratch: First Principles with Python," a popular book that offers an introduction to data science fundamentals using Python. Grus emphasizes understanding the core principles of data science and programming, aiming to equip readers with the foundational skills necessary for building data-driven applications. His work is appreciated for its clear explanations and practical approach to learning data science from the ground up.

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