Data Analytics: Principles, Tools, and Practices

person icon BPB Publications

Data Analytics: Principles, Tools, and Practices

A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools, and Technologies

person icon Dr. Gaurav Aroraa

ebook icon BPB Publications

language icon Language - English

updated on icon Updated on May, 2022

architecture icon Computer Skills,Data Analytics


This eBook includes

Formats : PDF, EPUB (Downlodable)

Pages : 418

ISBN : 9789388511957

Language : English

About the Book

Book description

A Complete Data Analytics Guide for Learners and Professionals.

Key Features
● Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database.
● Dive into Machine Learning, its tools, and applications.
● Coverage of applications of Big Data, Data Analysis, and Business Intelligence.

These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book “Data Analytics: Principles, Tools, and Practices” can be considered a handbook or a guide for professionals who want to start their journey in the field of data science.

The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples.

After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science.

What you will learn
● Familiarize yourself with Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database.
● Learn to manage data warehousing with real time transaction processing.
● Explore various machine learning techniques that apply to data analytics.
● Learn how to visualize data using a variety of graphs and charts using real-world examples from the industry.
● Acquaint yourself with Big Data tools and statistical techniques for machine learning.

Who this book is for
IT graduates, data engineers and entry-level professionals who have a basic understanding of the tools and techniques but want to learn more about how they fit into a broader context are encouraged to read this book.

Table of Contents
1. Database Management System
2. Online Transaction Processing and Data Warehouse
3. Business Intelligence and its deeper dynamics
4. Introduction to Data Visualization
5. Advanced Data Visualization
6. Introduction to Big Data and Hadoop
7. Application of Big Data Real Use Cases
8. Application of Big Data
9. Introduction to Machine Learning
10. Advanced Concepts to Machine Learning
11. Application of Machine Learning

Data Analytics: Principles, Tools, and Practices

eBook Preview

Author Details

BPB Publications

BPB Publications

BPB is Asia's largest publishers of Computer & IT books. For the last 63 years BPB has been a friend, philosopher and guide for programmers, developers, hardware technicians, IT Professionals who have made things happen in the IT World.

Our students work
with the Best

Related eBooks

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
People having fun around a laptop

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
People having fun around a laptop

Talk to us