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Data Analysis with Python: A Modern Approach

Book Specification

Binding Paperback
Language English
Number Of Pages 490
Author David Taieb
Publisher Packt Publishing Limited
Isbn-10 1789950066
Isbn-13 9781789950069
Dimension 19.05*2.82*23.5

Data Analysis with Python: A Modern Approach

David Taieb's Data Analysis with Python: A Modern Approach

Learn a modern approach to data analysis using Python to harness the power of Programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and Time series analysis. Key Features Bridge your data analysis with the power of programming, complex algorithms, and AI Use Python and its extensive Libraries to power your way to new levels of data insight Work with AI algorithms, TensorFlow, graph algorithms, NLP, and Financial Time series Explore this modern approach across with key industry case studies and hands-on projects Book DescriptionData Analysis with Python offers a modern approach to data analysis so that you can Work with the latest and most powerful Python tools, AI techniques, and Open Source libraries. Industry expert David Taieb shows you how to bridge data Science with the power of Programming and Algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based Tools and Jupyter Notebook. You'll find the right balance of Theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you're likely to meet in today. The first of these is an image recognition application with TensorFlow - embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data Issues and AI approaches to natural language processing. The third case study is a Financial portfolio analysis application that engages you with Time series analysis - pivotal to many data Science applications today. The fourth industry use case dives you into graph Algorithms and the power of Programming in modern data science. You'll wrap up with a thoughtful look at the Future of data Science and how it will harness the power of Algorithms and artificial intelligence. What you will learn A new toolset that has been carefully crafted to meet for your data analysis challenges Full and detailed case studies of the toolset across several of today's key industry contexts Become super productive with a new toolset across Python and Jupyter Notebook Look into the Future of data Science and which directions to develop your skills next Who this book is forThis book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.
Store Price Buy Now
Amazon, Paperback Rs. 1039.0

Why you should read Data Analysis with Python: A Modern Approach by David Taieb

This book has been written by David Taieb, who has written books like Data Analysis with Python: A Modern Approach. The books are written in Business & Economics category. This book is read by people who are interested in reading books in category : Business & Economics. So, if you want to explore books similar to This book, you must read and buy this book.

How long would it take for you to read Data Analysis with Python: A Modern Approach

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 98 hours
Average 49 hours
Good 32 hours
Excellent 16 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 32 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.

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