Probyto Data Science, Consulting Pvt. Ltd. Data Science for Business Professionals: A Practical Guide for Beginners

BPB Publications, 2021. — 447 p. — ISBN: 978-93-89423-280.A primer into the multidisciplinary world of Data Science.Key FeaturesExplore 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 build 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 forThis 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.