Troubleshooting Pandas [Video]

More Information
Learn
  • Speed up your data analysis by importing data into Pandas
  • Keep relevant data points by selecting subsets of your data
  • Create a high-quality dataset by cleaning data and fixing missing values
  • Compute actionable analytics with grouping and aggregation
  • Crunch IoT and financial data by mastering time-series functionality
  • Present your analysis by exporting from Pandas
About

Pandas is a powerful and popular scientific computing Python library for analyzing and manipulating data. Pandas is used to tidy messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.
However, it also comes with a set of problems when used for the aforementioned tasks. So, if you're facing any issues in your analysis or visualization tasks, then this is your course.
With clear, simple, and unique solutions, this course will help you tackle any issues that you face while working with Pandas.

The code files for this course are available at - https://github.com/PacktPublishing/Troubleshooting-Pandas

Style and Approach

The course is full of hands-on instructions, interesting and illustrative visualizations, and, clear explanations from a data scientist. It is packed full of useful tips and relevant advice. Throughout the course, we maintain a focus on practicality and getting things done, not fancy mathematical theory.

Features
  • Practical solutions to common problems reported by Data Scientists such as you.
  • Each video is constructed in a problem-solution format, making it easy and clear to understand the problem and grasp the solution.
  • Tried and tested solutions to common problems, while implementing data processing, cleaning, and wrangling solutions.
Course Length 2 hours 30 minutes
ISBN 9781789347760
Date Of Publication 28 Feb 2019

Authors

Rudy Lai

Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and Cloud computing.

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Over the past few years, they have worked with some of the World's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.
The company lives by its motto: Data -> Intelligence -> Action.

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Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails for prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feed back into how our AI generates content.

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Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.

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In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which you can learn about reinforcement learning and supervised learning topics in depth and in a commercial setting.

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Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.