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Python For Effect: Master Data Visualization and Analysis: Learn Data Pipelines, Machine Learning, Advanced Statistical Analysis and Visualization with Jupyter Notebook by Trebacz, Tomasz ISBN 9798344030159, 8344030153, B0DKTYVK1W instant download

  • SKU: EBN-235031978
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Instant download (eBook) Python For Effect: Master Data Visualization and Analysis: Learn Data Pipelines, Machine Learning, Advanced Statistical Analysis and Visualization with Jupyter Notebook after payment.
Authors:Trebacz, Tomasz
Pages:219 pages
Year:2024
Edition:1st
Publisher:Independently Published
Language:english
File Size:2.34 MB
Format:pdf
ISBNS:9798344030159, 8344030153, B0DKTYVK1W
Categories: Ebooks

Product desciption

Python For Effect: Master Data Visualization and Analysis: Learn Data Pipelines, Machine Learning, Advanced Statistical Analysis and Visualization with Jupyter Notebook by Trebacz, Tomasz ISBN 9798344030159, 8344030153, B0DKTYVK1W instant download

Welcome to a structured roadmap towards mastering data analysis and visualization—your essential guide to developing effective Python skills in a clear, step-by-step manner.

Discover the power of Python with this guide full of practical exercises, real-world examples, and up-to-date tools to support your learning journey.

Here’s a sneak peek at what’s inside:

100+ practical exercises and examples to solidify your Python skills.

14 essential tools every data analyst should master, including Pandas and NumPy.

Step-by-step guidance on data cleaning and preprocessing techniques.

5 real-world case studies to connect theory with practical business application.

Introduction to machine learning: Simplified and beginner-friendly.

5 proven strategies for effective data visualization using libraries like Matplotlib.

A detailed guide to setting up Jupyter Notebooks for interactive work.

Complete setup instructions for IDEs that support Python development.

Elevation of your data pipeline knowledge to industry standards.

Simple approaches to missing data, using imputation and transformation techniques.

7 software engineering best practices tailored for data projects.

Comprehensive explanations on regression analysis for analytic insight.

How to stay current with Python advancements without being overwhelmed.

Proven frameworks for data wrangling to simplify complex datasets.

Checklists for error-free coding and version control in your projects.

...and so much more unique content tailored to your learning needs!

You might think you've tried it all before, but you'll find this book different. It’s specifically designed to provide clarity and build confidence in your Python skills.

Whether you’re a student, researcher, or business professional, this guide will help demystify data analysis and adapt Python tools to your unique circumstances.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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