Exploratory Data Analysis with Pandas and Python 3.x

Exploratory Data Analysis with Pandas and Python 3.x

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that’s initially too messy or difficult to access. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently.

This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

About the Author

Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he worked as a Python developer at Qualcomm. He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. His areas of interests include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the Higher-Education industry.

Extract and transform your data to gain valuable insights

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What you will learn

• Improve your understanding of descriptive statistics and apply them over a dataset.
• Learn how to deal with missing data and outliers to resolve data inconsistencies.
• Explore various visualization techniques for bivariate and multivariate analysis.

Rating: 4.7

Level: Beginner Level

Duration: 5 hours

Instructor: Packt Publishing