Data Wrangling with Python

By Dr. Tirthajyoti Sarkar , Samik Sen , Shubhadeep Roychowdhury
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About this video

For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain.

The course starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets.

By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently.

Publication date:
April 2019
Publisher
Packt
Duration
3 hours 18 minutes
ISBN
9781838556617

About the Authors

  • Dr. Tirthajyoti Sarkar

    Dr. Tirthajyoti Sarkar works as a senior principal engineer in the semiconductor technology domain, where he applies cutting-edge data science/machine learning techniques for design automation and predictive analytics. He writes regularly about Python programming and data science topics. He holds a Ph.D. from the University of Illinois and certifications in artificial intelligence and machine learning from Stanford and MIT.

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  • Samik Sen

    Samik Sen is currently working with R on Machine Learning. He has done his Ph.D. in Theoretical Physics. He has Tutored Classes for High-Performance Computing postgraduates and Lecturer at International Conferences. He has experience of using Perl on data, producing plots with gnuplot for visualization and latex to produce reports. He, then, moved to finance/football and online education with videos.

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  • Shubhadeep Roychowdhury

    Shubhadeep Roychowdhury works as a senior software engineer at a Paris-based cybersecurity startup, where he is applying the state-of-the-art computer vision and data engineering algorithms and tools to develop cutting-edge products. He often writes about algorithm implementation in Python and similar topics. He holds a master's degree in computer science from West Bengal University Of Technology and certifications in machine learning from Stanford.

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