Python for Data Science: Learn Data Science from Scratch Data Science with Python. Use NumPy, Pandas, Matplotlib with hands-on projects

By William Krystal

Ready for the Data Science career?-Are you curious about Data Science and looking to start your self-learning journey into the world of data with Python?-Are you an experienced developer looking for a landing in Data Science In both cases, you are at the right place Welcome to Python for Data Science: Learn Data Science From Scratch bookPython is the most popular programming language for the data science process in recent years and also do not forget that data scientist has been ranked the number one job on several job search sites With Python skills, you will encounter many businesses that use Python and its libraries for data science. Almost all companies working on machine learning and data science use Python's Pandas library. Thanks to the large libraries provided, The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Pandas library will be the right choice for you to take part in this world and create your own opportunities, In this book, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful libraries such as Numpy, Pandas, and Matplotlib step by step.Throughout the book, we will teach you how to use the Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Python for Data Science book.In this book you will learn;-How to use Anaconda and Jupyter notebook, -Fundamentals of Python such as-Datatypes in Python, -Lots of datatype operators, methods and how to use them, -Conditional concept, if statements-The logic of Loops and control statements-Functions and how to use them-How to use modules and create your own modules-Data science and Data literacy concepts-Fundamentals of Numpy for Data manipulation such as-Numpy arrays and their features-How to do indexing and slicing on Arrays-Lots of stuff about Pandas for data manipulation such as-Pandas series and their features-Dataframes and their features-Hierarchical indexing concept and theory-Groupby operations-The logic of Data Munging-How to deal effectively with missing data effectively-Combining the Data Frames-How to work with Dataset files-And also you will learn fundamentals thing about Matplotlib library such as-Pyplot, Pylab and Matplotlb concepts-What Figure, Subplot and Axes are-How to do figure and plot customizationAnd we will do many exercises. Finally, we will also have 4 different final projects covering all of these subjects.Why would you want to take this book?We have prepared this book in the simplest way for beginners and have prepared many different exercises to help them understand better.No prior knowledge is needed In this book, you need no previous knowledge about Python, Pandas or Data Science.This book will take you from a beginner to a more experienced level.If you are new to data science or have no idea about what data science does no problem, you will learn anything you need to start data science.If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples.

• Format: Paperback
• Language: English
• ISBN: B08HGZW7BB
• ISBN13: 9798681860372
• Release Date: January 1
• Publisher: Independently Published
• Length: 456 Pages
• Weight: 1.33 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"