Data Analysis with Pandas and Python

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This course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis skills.

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140 on-demand videos & exercises
Level: Beginners
19hrs 26mins
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What to know about this course

This course begins with the essentials, introducing you to Anaconda and Jupyter Lab setup for Python and Pandas. You'll gain foundational knowledge in Python before diving into Pandas for data analysis. The focus then shifts to Series and DataFrame structures, providing you with the skills to manage and manipulate data effectively. Further, the course covers handling dates and times, and performing various file input and output operations, essential for real-world data analysis tasks. Advanced sections delve into data visualization using Matplotlib, enabling you to create impactful charts and graphs. You'll also explore advanced Pandas options and settings, enhancing your data manipulation capabilities.
By the end of this course, you'll have a comprehensive understanding of data analysis techniques. You'll be equipped to handle complex datasets, perform detailed analysis, and present data visually, opening doors to advanced data analysis and manipulation in professional settings.

Who's this course for?

Ideal for data analysts, aspiring data scientists, and professionals keen on mastering data manipulation and analysis.

This course is a perfect fit for those with basic Python knowledge looking to delve deep into data analytics using Pandas. Whether you're aiming to enhance your skillset for professional growth or apply data analysis techniques in your current role, this course offers a comprehensive learning path from Python basics to advanced data handling and visualization techniques in Pandas.

What you'll learn

  • Understand and utilize Python's basic and advanced data types.
  • Master Series and DataFrame operations in Pandas.
  • Handle complex data types like dates and times.
  • Perform input and output operations with different file types.
  • Create and customize various types of data visualizations.
  • Optimize data analysis with advanced Pandas settings and functions.

Key Features

  • Detailed step-by-step guidance on the installation and setup of key data analysis tools.
  • Comprehensive coverage of Pandas functionalities, from basics to advanced techniques.
  • Focus on real-world applications, enhancing your ability to analyze complex datasets.

Course Curriculum

About the Author

Boris Paskhaver

Boris Paskhaver is a New York City-based software engineer, author, and Udemy instructor with a unique journey into tech. Graduating from NYU in 2013 with a degree in Business Economics and Marketing, he initially worked in various roles, including business analyst and data analyst, at several companies. His coding journey began accidentally while building projects with Python and JavaScript, leading him to passionately pursue programming. Without formal computer science education, Boris completed App Academy's full-stack web development bootcamp, diving headfirst into web development. As an instructor, Boris focuses on creating comprehensive, easy-to-understand courses, addressing the challenges he faced learning to code. He's driven by the intersection of technology and education, aiming to make programming accessible to all. Boris brings this passion to his teaching, helping others unlock the potential of coding.

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