Introduction to R for Business Intelligence

Learn how to leverage the power of R for Business Intelligence

About This Book

Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful.

This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R.

Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide.

Who This Book Is For

This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected.

What You Will Learn

Extract, clean, and transform data

Validate the quality of the data and variables in datasets

Learn exploratory data analysis

Build regression models

Implement popular data-mining algorithms

Visualize results using popular graphs

Publish the results as a dashboard through Interactive Web Application frameworks

In Detail

Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance.

In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards.

After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.

Style and approach

This book will take a step-by-step approach and instruct you in how you can achieve Business Intelligence from scratch using R. We will start with extracting data and then move towards exploring, analyzing, and visualizing it. Eventually, you will learn how to create insightful dashboards that help you make informed decisions—and all of this with the help of real-life examples.

Om den här boken

Learn how to leverage the power of R for Business Intelligence

About This Book

Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful.

This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R.

Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide.

Who This Book Is For

This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected.

What You Will Learn

Extract, clean, and transform data

Validate the quality of the data and variables in datasets

Learn exploratory data analysis

Build regression models

Implement popular data-mining algorithms

Visualize results using popular graphs

Publish the results as a dashboard through Interactive Web Application frameworks

In Detail

Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance.

In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards.

After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.

Style and approach

This book will take a step-by-step approach and instruct you in how you can achieve Business Intelligence from scratch using R. We will start with extracting data and then move towards exploring, analyzing, and visualizing it. Eventually, you will learn how to create insightful dashboards that help you make informed decisions—and all of this with the help of real-life examples.

Kom igång med den här boken idag för 0 kr

  • Få full tillgång till alla böcker i appen under provperioden
  • Ingen bindningstid, avsluta när du vill
Prova gratis nu
Mer än 52 000 personer har gett Nextory 5 stjärnor i App Store och på Google Play.

Andra har också läst

Hoppa över listan
  1. Tableau 10 Business Intelligence Cookbook

    Donabel Santos

  2. Hands-On Business Intelligence with Qlik Sense : Implement self-service data analytics with insights and guidance from Qlik Sense experts

    Pablo Labbe, Clever Anjos, Jerry DiMaso, Kaushik Solanki

  3. Hands-On Big Data Modeling : Effective database design techniques for data architects and business intelligence professionals

    James Lee, Suresh Kumar Mukhiya, Tao Wei

  4. Business Intelligence with Databricks SQL : Concepts, tools, and techniques for scaling business intelligence on the data lakehouse

    Vihag Gupta

  5. Business Intelligence : The Ultimate Guide to Business Planning and Strategies by a Business Coach, Learn the Benefits of Hiring a Business Coach on How It Can Make Your Online Business a Success

    Jeremy Voss

  6. Mastering Microsoft Power BI – Second Edition : Expert techniques to create interactive insights for effective data analytics and business intelligence

    Brett Powell, Gregory Deckler

  7. Summary: 80/20 Sales and Marketing : Review and Analysis of Marshall's Book

    BusinessNews Publishing

  8. 5.0

    Business Analytics for Managers : Taking Business Intelligence Beyond Reporting

    Gert H.N. Laursen, Jesper Thorlund

  9. 3.0

    Big Data, Big Analytics : Emerging Business Intelligence and Analytic Trends for Today's Businesses

    Michael Minelli, Michele Chambers, Ambiga Dhiraj

  10. 3.3

    Business Intelligence For Dummies

    Swain Scheps

  11. 5.0

    The complete Guide to House Flipping & Real Estate : This go to guide shows you how to achieve financial freedom through property investing including rental, commercial, marketing, house flipping and more

    David Hewitt, Andrew Peter

  12. 3.3

    Dopamine Detox : Biohacking Your Way To Better Focus, Greater Happiness, and Peak Performance

    Nick Trenton


Relaterade kategorier