![](https://padhegaindia.in/wp-content/themes/woodmart/images/lazy.png)
Save: 10%
![](https://padhegaindia.in/wp-content/themes/woodmart/images/lazy.png)
Save: 10%
Data Analytics: Principles, Tools, and Practices
Publisher:
| Author:
| Language:
| Format:
Publisher:
Author:
Language:
Format:
₹599 ₹539
Save: 10%
In stock
Ships within:
In stock
ISBN:
Page Extent:
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.
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.
About Author
Reviews
There are no reviews yet.
Related products
Oracle Database 11G The Complete Reference (India Edition 13th 2014)
Save: 50%
Distributed Operating Systems Concept And Design (2004)
Save: 60%
Software Engineering A Practitioner’s Approach (7th Ed)
Save: 60%
RELATED PRODUCTS
Head First Java: A Brain-Friendly Guide, Third Edition
Save: 5%
Mastering Bitcoin: Programming the Open Blockchain, Second Edition
Save: 25%
Digital Communication Fundamentals And Applications (2nd Ed)
Save: 60%
Distributed Operating Systems Concept And Design (2004)
Save: 60%
Linear Programming for Project Management Professionals
Save: 10%
Oracle Database 11G The Complete Reference (India Edition 13th 2014)
Save: 50%
Software Engineering A Practitioner’s Approach (7th Ed)
Save: 60%
The Big Score: The Billion Dollar Story Of Silicon Valley
Save: 25%
Reviews
There are no reviews yet.