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Master Data Science with Python

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  • Set up a data science coding environment.
  • Apply basic Python along with the libraries that will be used on a daily basis.
  • Visualize your data and data science results using Matplotlib.
  • Implement fast and basic data science algorithm using scikit-learn.
  • Analyze how and what to preprocess in a dataset.
  • Use techniques to get the best results when working with structured data.
  • Make image classifiers.
  • Process human language for prediction and classification

This book will help you get comfortable with using the Python programming environment for data science. Data science is a rewarding career now more than ever and at the same time, it allows you to solve some of the world's most interesting problems. You will experience first hand what a data scientist goes through while working with data. This book guides you through the libraries that a data scientist uses on a daily basis. By the end of this book, you will be able to take data, clean it, manipulate it, and run machine learning algorithms to obtain results that can influence business decisions. You will also be able to take the knowledge obtained from this course and experiment with tools or libraries that haven’t been covered in the book. Apart from teaching how to use the tools, this book will teach you the most advanced machine learning algorithms that are used by data scientists all over. It will help you understand how and why they work and for what kind of data. Once you are through with this book, you will be able to understand and implement any new algorithm that comes into the data science world.

  • The book assumes that the student does not have a lot of experience with using Python for data science, thus acts as a really good first step.
  • The book gets you comfortable with tools such as pandas and Matplotlib which are essential for any data scientist. It does this using datasets that the students are likely to deal with on their own data science journey.
  • The book teaches data science algorithms using tools and libraries that data scientists use. The teaching is done by our instructors which ensures faster and better learning.
Page Count 476
Course Length 14 hours 16 minutes
Date Of Publication 27 Jun 2019


Lakshay Sharma

Lakshay Sharma is a data scientist at Absolutdata. He graduated from Shiv Nadar University with a degree in Computer Science and Engineering. He has been heavily involved in AI research since his undergrad years and is currently working with the Machine Intelligence group at IIT Delhi. Lakshay has also completed a Machine Learning Engineer Nanodegree from Udacity. He also has over 2 years of experience solving real-world problems using Machine Learning/Deep Learning in the corporate and Legal-Tech domain.

Rohan Chopra

Rohan Chopra is a data scientist at Absolutdata. He graduated from Vellore Institute of Technology with a bachelor’s degree in computer science. Rohan has 2 years of experience in designing, implementing, and optimizing end-to-end deep neural network systems. His research is centered around the use of deep learning to solve computer vision related problems and has hands-on experience working on self-driving cars.