Exploratory Data Analysis with Pandas and Python 3.x
What you'll 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.
- Enhance your programming skills and master data exploration and visualization in Python.
- Learn multidimensional analysis and reduction techniques.
- Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding
Course content
- Preview04:38
- 07:39Basic Statistical Measures
- 04:10Variance and Standard Deviation
- 09:03Visualizing Statistical Measures
- 05:10Calculating Percentiles
- 07:04Quartiles and Box Plots
Requirements
- Basic Python programming experience required.
Description
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.
Who this course is for:
- This course is for Python developers, data analysts, and IT professionals who want to move toward a career as a full-fledged data scientist/analytics expert; anyone who wants to use data analytics/machine learning to enrich their current personal or professional projects will also benefit from it.
Instructor
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- 3.9 Instructor Rating
- 58,076 Reviews
- 350,172 Students
- 1,418 Courses
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