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Data Science: Tools & Skills

Data Science: Tools & Skills


Course details

0∙0 Ratings0 reviews

Published
July 2021
Publisher
SitePoint
Chapters
7

About the course

This book is a collection of in-depth guides to some some of the tools most used in data science, such Pandas and PySpark, as well as a look at some of the skills you'll need as a data scientist. This book contains:

  • Pandas for Excel Users
  • Big Data in Python: An Introduction to PySpark
  • How to Dramatically Speed Up Pandas
  • Top 10 Tools for a Data Scientist
  • Getting Started with Natural Language Processing in Python
  • Ensemble Learning: Theory

This book is for aspiring data scientists.

Authors

Mike Aboagye

Mike Aboagye

Cláudio Ribeiro

Cláudio Ribeiro

Cláudio Ribeiro is a software developer, traveler, and writer from Lisbon. He's the author of the book An IDE Called Vim. When he is not developing some cool feature at Kununu he is probably backpacking somewhere in the world or messing with some obscure framework.
Lucero Del Alba

Lucero Del Alba

Lucero is a programmer and entrepreneur with a feel for Python, data science and DevOps. Raised in Buenos Aires, Argentina, he's a musician who loves languages (those you use to talk to people) and dancing.
Muhammad Jarir Kanji

Muhammad Jarir Kanji

Course Outline

Chapter 1: How to Transition from Software Development to Data Science
Chapter 2: Pandas for Excel Users
Chapter 3: Big Data in Python: An Introduction to PySpark
Chapter 4: How to Dramatically Speed Up Pandas
Chapter 5: Top 10 Tools for a Data Scientist
Chapter 6: Getting Started with Natural Language Processing in Python
Chapter 7: Ensemble Learning: Theory

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Course details

0∙0 Ratings0 reviews

Published
July 2021
Publisher
SitePoint
Chapters
7

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