Data Analytics with R Training - Live Virtual Classroom
Zeolearn
Summary
- Tutor is available to students
Overview
The open source programming language R has increased in popularity in recent years, and is now universally accepted by statisticians and data miners as the number one language for data science. R uses cutting-edge technology to manipulate data and create statistical models and charts that can be used for predictive modelling. It gives quick results and because it is open source, it is supported by a worldwide community of over two million users and developers. Zeolearn’s virtual class will take you through the fundamentals of this powerful language R. From the ground up, you will learn how to prepare data for analysis and apply statistical measures to create data visualisations. By exploring the characteristics of data sets, you can analyse and achieve optimum results based on past data.
Description
Here’s what you will learn!
- Learn to explore and visualize data and polish your skills in techniques such as Predictive Analytics, Association Rule Mining and much more
- Derive meaning from custom created charts that are used to represent complex data, manipulate this data and create statistical models for predictive analysis
- Learn to use R, not just as a statistical tool but to create your own functions, objects and packages
Module 1: What is Data Analytics
- R tools and their uses in Business Analytics
- Objectives
- Analytics
- Where is analytics applied?
- Responsibilities of a data scientist
- Problem definition
- Summarizing data
- Data collection
Module 2: About R
Module 3: Data manipulation in R
Module 4: Data Import techniques
Module 5: Exploratory Data analysis
Module 6: Data Visualization in R
Module 7: Data Mining: Clustering Techniques
Module 8: Data Mining: Association Rule Mining and Sentiment Analysis
Module 9: Linear and Logistic Regression
Module 10: Anova
Module 11: Predictive Analysis
Module 12: More on Data Mining
Who is this course for?
Statisticians, Data Analysts, Business Analysts and professionals keen to learn more about the science and practice of data analysis using R, will benefit from this course.
Requirements
- Basic knowledge of a programming language such as Python or Java
- A background in Mathematics will be beneficial
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
