Textbook in PDF format

Primer into the multidisciplinary world of Data Science
Key Features
Explore and use the key concepts of Statistics required to solve data science problems
Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app
Learn how to build Data Science solutions with GCP and AWS
The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset.
What will you learn
Understand the multi-disciplinary nature of Data Science
Get familiar with the key concepts in Mathematics and Statistics
Explore a few key ML algorithms and their use cases
Learn how to implement the basics of Data Pipelines
Get an overview of Cloud Computing & DevOps
Learn how to create visualizations using Tableau
Who this book is for
This book is ideal for Data Science enthusiasts who want to explore various aspects of Data Science. Useful for Academicians, Business owners, and Researchers for a quick reference on industrial practices in Data Science.
Data Science in Practice
Mathematics Essentials
Statistics Essentials
Exploratory Data Analysis
Data preprocessing
Feature Engineering
Machine learning algorithms
Productionizing ML models
Data Flows in Enterprises
Introduction to Databases
Introduction to Big Data
DevOps for Data Science
Introduction to Cloud Computing
Deploy Model to Cloud
Introduction to Business Intelligence
Data Visualization Tools
Industry Use Case 1 – FormAssist
Industry Use Case 2 – PeopleReporter
Data Science Learning Resources
Do It Your Self Challenges
MCQs for Assessments