Data Science Crash Course for Beginners PDF

This course lays the groundwork for further study into data science with Python for those students with little to no experience

Key Features

• Crash course in Python programming to build or refresh any gaps in prerequisite knowledge

• Real-world projects for hands-on practice in various data science tasks

• Access to all codes and datasets free to view online

Book Description

Data science is here to stay. The tremendous growth in the volume, velocity, and variety of data has a substantial impact on every aspect of a business. While data continues to grow exponentially, accuracy remains a problem. This is where data scientists play a decisive role.

A data scientist analyzes data, discovers new insights, paints a picture, and creates a vision. And a competent data scientist will provide a business with the competitive edge it needs and to address pressing business problems.

Data Science Crash Course for Beginners with Python presents you with a hands-on approach to learn data science fast. This book presents you with the tools and packages you need to kick-start data science projects to resolve problems of a practical nature. Special emphasis is laid on the main stages of a data science pipeline—data acquisition, data preparation, exploratory data analysis, data modeling and evaluation, and interpretation of the results.

The author simplifies your learning by providing detailed, guided instructions through everything. The step-by-step description of the installation of the software you need to implement the various data science techniques in this book is guaranteed to make your learning easier. So, right from the beginning, you can experiment with the practical aspects of data science. By the end of this course, you will have a solid grasp on the essential concepts of data science and its most fundamental implementations, laying the groundwork for your next steps no matter your chosen direction.

What you will learn

• Consider Natural Language Processing and decision making in data science

• Install Python and libraries for data science

• Review Python for data science

• Study data acquisition

• Practice data preparation (preprocessing)

• Perform exploratory data analysis

• Explore data modeling and evaluation using machine learning

• Interpret data and report your findings

• Successfully complete several data science projects

Who this book is for

This book is specifically designed for beginners in data science looking to build foundational tools and skills quickly, utilizing the Python programming language. No prior experience is required.

Author: AI Sciences OÜ