O'Reilly Media

Python for Data Analysis

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Master data analysis with Python. Learn techniques to extract insights and visualize data with Python.

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Additional information

Additional information

Authors

Wes McKinney

Publisher

O'Reilly Media

Published On

2017

Language

English

ISBN

978-1491957669

Format

pdf

Size (MB)

12.52 MB

Description

Python for Data Analysis Mastery

Python for Data Analysis Mastery is your complete guide to transforming raw data into actionable insights using Python’s most powerful data tools. Whether you’re a beginner in data science or an experienced analyst, this course helps you build a solid foundation in Python for real-world data processing, visualization, and analytics. Learn how to analyze, clean, and visualize data efficiently — and become job-ready in the growing field of data analytics.

Course Description

This Python for Data Analysis course provides a comprehensive, hands-on journey into one of the most in-demand data science skills today. You’ll explore how to use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn to manipulate, analyze, and visualize complex datasets. Throughout the course, you’ll gain practical experience through guided projects and exercises that mirror industry applications.

From data cleaning and transformation to generating visual reports, you’ll master every essential step of the data analysis pipeline. Moreover, you’ll learn to apply statistical methods and build predictive insights that support data-driven decision-making. Each section is structured to build upon your knowledge gradually, ensuring you gain confidence and skill as you progress.

What You’ll Learn

  • Perform efficient data manipulation with Pandas and NumPy.
  • Clean, preprocess, and transform raw datasets.
  • Visualize data trends using Matplotlib and Seaborn.
  • Apply statistical analysis for business insights.
  • Work with real-world data projects and case studies.
  • Automate repetitive data analysis tasks using Python scripts.

Requirements

  • Basic understanding of Python programming.
  • Familiarity with mathematics and statistics is helpful but not required.
  • A computer with Python installed (or access to Google Colab or Jupyter Notebook).

About the Publication

This course is brought to you by Expert Training, a trusted platform providing professional development courses in IT, data science, and programming since 2018. Our mission is to make learning accessible and career-focused, offering top-quality resources updated daily.

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By the end of this course, you’ll be fully equipped to analyze data effectively and communicate insights through compelling visualizations. Start your data analytics journey today with Python for Data Analysis Mastery and gain a competitive advantage in your career.


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Additional information

Authors

Wes McKinney

Publisher

O'Reilly Media

Published On

2017

Language

English

ISBN

978-1491957669

Format

pdf

Size (MB)

12.52 MB

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