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Master Data Analytics with the Power of Python

Master Data Analytics with the Power of Python

★★★★★ (4.8/5) Rated by 1,200+ Readers
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Description

Book 1: Python Essentials You Always Wanted to Know

With this book, you will:

  • Gain a solid foundation in Python, making it easier to progress to more advanced topics with simple and step-by-step explanations.
  • Get a deep understanding of object-oriented programming principles, which are vital skills for writing clean, scalable, and reusable Python code.
  • Learn how to handle errors and exceptions, making sure your code runs smoothly and efficiently.
  • Stay ahead of the curve by diving into exciting fields like AI, Machine Learning, and IoT with Python.

    Click here to learn more about the book


    Book 2: Data Analytics You Always Wanted to Know


    With this book, you will:
  • Get a clear understanding of key concepts, terminology, and the evolution of data analytics.
  • Learn about the different types of data analytics and how they are applied in various industries.
  • Understand the transformative role of Big Data and how it reshapes industries globally.
  • Explore how industry giants like Walmart and Netflix use data analytics to drive business decisions.

    Click here to learn more about the book
Bibliographic Details

Pages: 548 pages

Paperback (ISBN): 9781636513683

Category: Computers / Computer Science

Author: Shawn Peters, Dr. Bianca Szasz, Vibrant Publishers

Author

Shawn Peters has 19 years of teaching experience, is certified in Python Programming Teaching from the College of the North Atlantic, and also specializes in JavaScript and Java.

Dr. Bianca Szasz is a Ph.D. holder in Space Engineering. In over 14 years of experience in engineering and a dedicated focus of 4 years in data analytics, she has used data analytics in a variety of innovative projects, like post-processing of the wind tunnel test results and the analysis of high enthalpy heating test results. Her enthusiasm for data analytics eventually expanded beyond using it for work. Now she is passionate about educating the future generation of data analysts.

Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.

Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.

Series

The Self-Learning Management Series is designed to help students, new managers, career switchers, and entrepreneurs learn essential management lessons and covers every aspect of business, from HR to Finance to Marketing to Operations across any and every industry. Each book includes basic fundamentals, important concepts, and standard and well-known principles as well as practical ways of application of the subject matter.

Editorial Reviews

I have not yet implemented all the lessons/the coding exercises in this book but I checked them all out. I have a child who is interested in coding. and I love to learn to know more about coding myself in my spare time. This is a good resource for almost total beginners like us.
-- Didem Durak Akser Net Galley Reviewer

I think this text is a comprehensive yet succinct manual. It gives a usable introduction to data analytics and is easy to read and comprehend. An added benefit is that the book contains real-world case studies and interesting facts to help enhance existing knowledge. 

A key strength of this text is the option to choose the topics that you want to focus on and the resources that you want to use. This flexibility makes self-directed learning a great option for busy professionals who want to add data analytics skills to their repertoire. If you're interested in self-directed learning for data analytics, there are a few things you need to do to get started, and this text will help!
-- David E Reva Instructor - CIS, Kalamazoo Valley Community College

Supplemental Resources

Python Essentials You Always Wanted to Know
Instructor Resources

Data Analytics Essentials You Always Wanted To Know
Instructor Resources

  • 5 stars: 43 (66%)
  • 4 stars: 22 (34%)
  • 3 stars: 0 (0%)
  • 2 stars: 0 (0%)
  • 1 star: 0 (0%)
I
Ishaan Roy (India)
Great investment of time for Python data analytics skill mastery

This book helped me streamline my data analytics workflow and tackle complex data problems with complete confidence. Highly recommended!

A
Anika Mahajan (India)
Masterful breakdown of data wrangling, machine learning prep, and visualization

An exceptional publishing achievement by Vibrant Publishers. Every chapter delivers high-yield takeaways for modern data practitioners.

R
Reyansh Menon (India)
An essential reference book for data professionals and students

Extremely helpful for understanding how to handle missing data, merge dataframes, and generate meaningful visual insights using Python libraries.

K
Kavya Shrivastava (India)
Practical scripts and frameworks for extracting insights with Python

The quality of content is top-notch. Real-world datasets, Jupyter notebook examples, and statistical modeling tips make this an essential desk companion.

K
Kabir Pande (India)
Very well structured manual explaining statistical modeling and data cleaning

As a data analyst, this manual gave me the exact code snippets, pipeline structures, and analytical frameworks needed to process large datasets efficiently.

P
Prisha Sengupta (India)
Exceptional book offering clear code examples for data manipulation

A remarkably clear and well-structured guide. It breaks down complex data manipulation concepts into easily digestible scripts without unnecessary jargon.

Z
Zayn Dwivedi (India)
Highly recommended programming book for practical data analytics

Purchased this book to level up my programming skills for data science. The code examples, data cleaning techniques, and visualization tutorials have been immensely valuable.

R
Ridhi Iyer (India)
Invaluable resource for aspiring data scientists and analysts

This book is an absolute masterpiece for anyone looking to master data analytics using Python. The coverage of pandas, NumPy, and exploratory data analysis is exceptionally clear and practical.

A
Arnav Swaminathan (India)
Comprehensive book covering pandas, NumPy, and data visualization techniques

This book helped me streamline my data analytics workflow and tackle complex data problems with complete confidence. Highly recommended!

T
Tara Hegde (India)
Phenomenal guide for mastering data analytics using Python

An exceptional publishing achievement by Vibrant Publishers. Every chapter delivers high-yield takeaways for modern data practitioners.

K
Kabir Kothari (India)
Superb publication offering unmatched Python data analytics wisdom

Extremely helpful for understanding how to handle missing data, merge dataframes, and generate meaningful visual insights using Python libraries.

M
Myra Singh (India)
Clear guidance on building analytical pipelines and visualizing datasets

The quality of content is top-notch. Real-world datasets, Jupyter notebook examples, and statistical modeling tips make this an essential desk companion.

V
Vedant Das (India)
Top tier reference book for contemporary data science using Python

As a data analyst, this manual gave me the exact code snippets, pipeline structures, and analytical frameworks needed to process large datasets efficiently.

S
Sana Choudhury (India)
Transformed how I approach data cleaning and predictive modeling in Python

A remarkably clear and well-structured guide. It breaks down complex data manipulation concepts into easily digestible scripts without unnecessary jargon.

R
Rudra Menon (India)
Thorough coverage of data frames, exploratory data analysis, and libraries

Purchased this book to level up my programming skills for data science. The code examples, data cleaning techniques, and visualization tutorials have been immensely valuable.

N
Nyra Ghosh (India)
Great investment of time for Python data analytics skill mastery

This book is an absolute masterpiece for anyone looking to master data analytics using Python. The coverage of pandas, NumPy, and exploratory data analysis is exceptionally clear and practical.

K
Krish Roy (India)
Masterful breakdown of data wrangling, machine learning prep, and visualization

This book helped me streamline my data analytics workflow and tackle complex data problems with complete confidence. Highly recommended!

M
Meher Tiwari (India)
An essential reference book for data professionals and students

An exceptional publishing achievement by Vibrant Publishers. Every chapter delivers high-yield takeaways for modern data practitioners.

V
Vivaan Khan (India)
Practical scripts and frameworks for extracting insights with Python

Extremely helpful for understanding how to handle missing data, merge dataframes, and generate meaningful visual insights using Python libraries.

A
Ahana Saxena (India)
Very well structured manual explaining statistical modeling and data cleaning

The quality of content is top-notch. Real-world datasets, Jupyter notebook examples, and statistical modeling tips make this an essential desk companion.

K
Kabir Mukherjee (India)
Invaluable resource for aspiring data scientists and analysts

Purchased this book to level up my programming skills for data science. The code examples, data cleaning techniques, and visualization tutorials have been immensely valuable.

S
Shaurya Bhatia (India)
Exceptional book offering clear code examples for data manipulation

As a data analyst, this manual gave me the exact code snippets, pipeline structures, and analytical frameworks needed to process large datasets efficiently.

N
Navya Nambiar (India)
Highly recommended programming book for practical data analytics

A remarkably clear and well-structured guide. It breaks down complex data manipulation concepts into easily digestible scripts without unnecessary jargon.

A
Avani Pillai (India)
Comprehensive book covering pandas, NumPy, and data visualization techniques

This book is an absolute masterpiece for anyone looking to master data analytics using Python. The coverage of pandas, NumPy, and exploratory data analysis is exceptionally clear and practical.

D
Dhruv Chatterjee (India)
Phenomenal guide for mastering data analytics using Python

This book helped me streamline my data analytics workflow and tackle complex data problems with complete confidence. Highly recommended!

S
Shanaya Kulkarni (India)
Superb publication offering unmatched Python data analytics wisdom

An exceptional publishing achievement by Vibrant Publishers. Every chapter delivers high-yield takeaways for modern data practitioners.

A
Arjun Deshmukh (India)
Clear guidance on building analytical pipelines and visualizing datasets

Extremely helpful for understanding how to handle missing data, merge dataframes, and generate meaningful visual insights using Python libraries.

S
Siya Reddy (India)
Top tier reference book for contemporary data science using Python

The quality of content is top-notch. Real-world datasets, Jupyter notebook examples, and statistical modeling tips make this an essential desk companion.

K
Kian Rao (India)
Transformed how I approach data cleaning and predictive modeling in Python

As a data analyst, this manual gave me the exact code snippets, pipeline structures, and analytical frameworks needed to process large datasets efficiently.

A
Aanya Nair (India)
Thorough coverage of data frames, exploratory data analysis, and libraries

A remarkably clear and well-structured guide. It breaks down complex data manipulation concepts into easily digestible scripts without unnecessary jargon.

R
Reyansh Iyer (India)
Great investment of time for Python data analytics skill mastery

Purchased this book to level up my programming skills for data science. The code examples, data cleaning techniques, and visualization tutorials have been immensely valuable.