Python for Data Science: Clear and Complete Guide to Data Science and Analysis with Python.
Written by Alex Campbell
Narrated by Cliff Weldon, Ray Mayers
5/5
()
About this audiobook
Are you interested in learning data science with Python? Do you want to know what you need to get started? Then you have picked up the right guide.
As more and more data becomes available and accessible, we need to find bigger and better ways of processing it. That's where data science comes in. It is the future of AI, and that makes it important to understand, if not learn. It's also important to understand the value data science can add to businesses, and by the end of this guide, you will know what it is, how it works, and how it can use data to extract meaningful, valuable insights.
Here's what you will learn:
- The difference between data analysis, data science, and machine learning
- The implications and potential of data science
- How to get your data and process it
- What feature selection is
- Data sources
- How to use data visualization with matplotlib
- The difference between supervised, unsupervised, and reinforcement learning
- What simple and multiple linear regression is
- A look at decision trees and random forests
- What classification is, including logistic regression and K-Nearest Neighbors
- Decision tree and random forest classification
- A discussion on clustering
- A deeper look into reinforcement learning and how it works
- A brief look at artificial neural networks
And so much more!
If you want to get a head start on your data science journey, click that Buy Now button and never look back.
Alex Campbell
Alex Campbell is an award-winning writer, producer, and director of more than two hundred information films for Fortune Top 25 corporations as well as government agencies, including the National Endowment for the Humanities. He lives in California.
More audiobooks from Alex Campbell
Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science Rating: 5 out of 5 stars5/5Agile Product Management: Proven Strategies and Methods for Beginners Rating: 5 out of 5 stars5/5Agile Project Management with Scrum: How to Use the Scrum to Boost a Team’s Productivity Rating: 5 out of 5 stars5/5Data as a Product: A Comprehensive Guide on How to Use the Full Value of Data Rating: 5 out of 5 stars5/5Data Visualization: Ultimate Guide to Data Mining and Visualization. Rating: 0 out of 5 stars0 ratingsData Visualization Guide: 4 BOOKS IN 1. Big and Complete Guide to Data Mining and Visualization Rating: 0 out of 5 stars0 ratingsPython Machine Learning for Beginners: All You Need to Know about Machine Learning with Python Rating: 5 out of 5 stars5/5Agile Project Management with Scrum: Ultimate Complete Guide to Agile Project Management with Scrum. (4 in 1 books). Rating: 0 out of 5 stars0 ratingsPython Guide: Clear Introduction to Python Programming and Machine Learning Rating: 5 out of 5 stars5/5Agile Project Management with Scrum: Simple Guide to Processes and Roles Rating: 5 out of 5 stars5/5Data Mesh: Comprehensive Guide on How to Become Truly Data-Driven Rating: 0 out of 5 stars0 ratingsAgile Project Management with Scrum: How to Become a Great Project Manager Rating: 0 out of 5 stars0 ratingsData Visualization Guide: Clear Guide to Data Science and Visualization Rating: 0 out of 5 stars0 ratingsAgile: Essentials of Team and Project Management. Manifesto for Agile Software Development Rating: 4 out of 5 stars4/5Python Machine Learning for Beginners: Perfect guide on How to Become a Successful Data Scientist Rating: 0 out of 5 stars0 ratingsData Mesh: Principles and Logical Architecture Rating: 3 out of 5 stars3/5Kanban: A Complete Step-by-Step Guide to the Basic Concepts in Kanban Rating: 5 out of 5 stars5/5Python ML: Clear Step-by-Step Guide to Ma-chine Learning with Python Rating: 5 out of 5 stars5/5Agile Project Management with Scrum: Comprehensive Guide to Agile Project Management with Scrum Rating: 0 out of 5 stars0 ratingsData Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization Rating: 5 out of 5 stars5/5Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python. Rating: 0 out of 5 stars0 ratingsData Mining and Analytics: Ultimate Guide to the Basics of Data Mining, Analytics and Metrics Rating: 5 out of 5 stars5/5Data Visualization: Clear Introduction to Data Visualization with Python. Proper Guide for Data Scientist. Rating: 5 out of 5 stars5/5Agile Guide: Perfect Guide to Agile Project Management for Successful Leader. Rating: 0 out of 5 stars0 ratingsAgile Leadership: Secret Practices and Tips for Successful Agile Leader Rating: 5 out of 5 stars5/5
Related to Python for Data Science
Related audiobooks
Data Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization Rating: 5 out of 5 stars5/5Data Visualization: Clear Introduction to Data Visualization with Python. Proper Guide for Data Scientist. Rating: 5 out of 5 stars5/5Data Mining and Analytics: Ultimate Guide to the Basics of Data Mining, Analytics and Metrics Rating: 5 out of 5 stars5/5Data Analysis Rating: 4 out of 5 stars4/5Python ML: Clear Step-by-Step Guide to Ma-chine Learning with Python Rating: 5 out of 5 stars5/5Python Guide: Clear Introduction to Python Programming and Machine Learning Rating: 5 out of 5 stars5/5Data Science Rating: 4 out of 5 stars4/5Python Machine Learning for Beginners: All You Need to Know about Machine Learning with Python Rating: 5 out of 5 stars5/5Basic Python in Finance: How to Implement Financial Trading Strategies and Analysis using Python Rating: 5 out of 5 stars5/5Big Data: A Complete Guide to the Basic Concepts in Data Science, Cyber Security, Analytics and Metrics Rating: 4 out of 5 stars4/5Data Science from Scratch Rating: 0 out of 5 stars0 ratingsData Science For Dummies: 2nd Edition Rating: 4 out of 5 stars4/5Machine Learning: Deep Learning, Text Analytics, and Reinforcement Learning with Big Data Rating: 4 out of 5 stars4/5Data Smart: Using Data Science to Transform Information into Insight Rating: 4 out of 5 stars4/5Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Rating: 5 out of 5 stars5/5Crash Course Big Data Rating: 3 out of 5 stars3/5SQL For Beginners: SQL Guide to understand how to work with a Data Base Rating: 1 out of 5 stars1/5Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable Insight Rating: 4 out of 5 stars4/5Big Data Analytics: Turning Big Data into Big Money Rating: 2 out of 5 stars2/5Data Analyses: Detailed, Scientific, and Business-Oriented Data Reading Skills Rating: 0 out of 5 stars0 ratingsBig Data: Mining and Measuring Big Data for Information and Intelligence Rating: 5 out of 5 stars5/5Learn Power BI - Second Edition: A comprehensive, step-by-step guide for beginners to learn real-world business intelligence Rating: 0 out of 5 stars0 ratingsDeep Learning: Machine Learning and Data Analytics Explained Rating: 5 out of 5 stars5/5Python for Beginners: 2 Books in 1: Coding for Beginners Using Python + Python Crash Course Rating: 5 out of 5 stars5/5Data Mesh: Delivering Data-Driven Value at Scale Rating: 5 out of 5 stars5/5Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value Rating: 0 out of 5 stars0 ratingsData Visualization Guide: Clear Guide to Data Science and Visualization Rating: 0 out of 5 stars0 ratingsMachine Learning: The New AI Rating: 4 out of 5 stars4/5
Programming For You
Clean Code: A Handbook of Agile Software Craftsmanship Rating: 5 out of 5 stars5/5PYTHON CODING: The Quickest Way To Learn Coding With Python Rating: 5 out of 5 stars5/5Understanding Software: Max Kanat-Alexander on simplicity, coding, and how to suck less as a programmer Rating: 5 out of 5 stars5/5JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language, 7th Edition Rating: 0 out of 5 stars0 ratingsGAMEDEV: 10 Steps to Making Your First Game Successful Rating: 5 out of 5 stars5/5Raspberry PI: The Next Step with Raspberry Pi: A Journey into Intermediate Programming and System Design Rating: 0 out of 5 stars0 ratingsSoftware Engineering at Google: Lessons Learned from Programming Over Time Rating: 4 out of 5 stars4/5Python for Beginners: A Crash Course Guide to Learn Python in 1 Week Rating: 4 out of 5 stars4/5CODING FOR BEGINNERS USING PYTHON: A HANDS-ON, PROJECT-BASED INTRODUCTION TO LEARN CODING WITH PYTHON Rating: 5 out of 5 stars5/5SQL For Beginners: SQL Guide to understand how to work with a Data Base Rating: 1 out of 5 stars1/5Javascript: Ultimate Beginners Guide Rating: 4 out of 5 stars4/5Once Upon an Algorithm: How Stories Explain Computing Rating: 4 out of 5 stars4/5Shareware Heroes: The renegades who redefined gaming at the dawn of the internet Rating: 0 out of 5 stars0 ratingsComputational Thinking Rating: 4 out of 5 stars4/5Coders at Work: Reflections on the Craft of Programming Rating: 4 out of 5 stars4/5"You Are Not Expected to Understand This": How 26 Lines of Code Changed the World Rating: 0 out of 5 stars0 ratingsBlockchain Basics: A Non-Technical Introduction in 25 Steps Rating: 5 out of 5 stars5/5How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms Rating: 5 out of 5 stars5/5C++: The Ultimate Beginner's Guide to Learn C++ Programming Step by Step Rating: 4 out of 5 stars4/5Advances in Financial Machine Learning Rating: 5 out of 5 stars5/5Hackers & Painters: Big Ideas from the Computer Age Rating: 4 out of 5 stars4/5UX Design: A Field Guide To Process And Methodology For Timeless User Experience Rating: 1 out of 5 stars1/5Skill Up: A Software Developer's Guide to Life and Career Rating: 5 out of 5 stars5/5Information Architecture: For the Web and Beyond Rating: 4 out of 5 stars4/5Blockchain For Dummies Rating: 5 out of 5 stars5/5
Reviews for Python for Data Science
2 ratings1 review
- Rating: 5 out of 5 stars5/5Python for Data Science: Clear and Complete Guide is the most clear book I got so far