Business Analytics Foundation - R Language

Discover the unlimited power of business analytics and how they can be applied to solving difficult operational problems with the Business Analytics Foundation – R Language course. Using the R programming language, data professionals will learn both the concepts and practical skills involved in effective business analytics.

Throughout the course students will be shown why business analytics are so valuable, before being walked through advanced statistical concepts and how they are applied to business problems.

The Business Analytics Foundation – R Language course is best suited to:

• Data professionals who need to master the R programming language to help better analyse business data.
• Developers and analysts who need to extend their skillset to work with predictive modelling techniques.
• Employees who want to improve their employment options by learning new skills in business analytics.
• Individuals who want to retrain for a role in project management with a special emphasis on software development.
• IT professionals looking to re-skill for a new career in business data analytics, business intelligence and statistical modelling.
• R programmers and business analysts who need to clarify their skills with a course completion certificate.

Using over 9 hours worth of instructor-led videos, hands-on practice exercises and interactive, end-of-unit quizzes the Business Analytics Foundation – R Language course is delivered online via our learning platform. The self-study approach allows students to study when ever and where ever is most convenient for them, allowing them to work at their own pace.

Our social networking platform also allows learners to connect with their peers so they can trade tips and advice, or seek help and encouragement when completing the practical exercises which are incorporated throughout the course.

Key learning points

Starting with a very basic introduction to business analytics, students will quickly move on to mastering each concept before getting hands-on with the R programming language. The course will introduce learners to:

• Data analytics methodology and tools commonly used by data scientists to do their jobs.
• Collecting, defining and summarising data.
• Common statistical concepts, including probability theory, tests of significance and non-parametric testing.
• Using the R programming language for data exploration and visualisation.
• Testing data using analysis of variance, Chi-squared tests and T-test.
• Predictive modelling techniques including linear and logistic regression, cyclical and seasonal analysis, exponential smoothing and Auto-Regressive (AR) models.

The course covers all of these topics and more, ensuring that students are able to create valuable analytics and perform advanced statistical analysis using the R programming language.

Advantages of this course

By completing just five modules, students will have developed a set of valuable business analytics skills, that will benefit them and their employers.

Learners completing the course will benefit from:

• The ability to build business analytics systems using the R language.
• Valuable data and statistical analysis skills that will help them perform better in their role and create new efficiencies and savings for their employer.
• Being able to produce statistics and analysis that will inform future business strategy.
• Skills, experience and confidence that will help data scientists and analysts perform better within the business intelligence team, or to help them secure a promotion.
• A fully transferable, valuable skill set that will open new career options in business intelligence, analytics and data science.

The Business Analytics Foundation – R Language course is the perfect springboard for business analysts who want to improve their career options by acquiring valuable, transferable skills. The course also provides an invaluable entry point to business analytics, acting as a stable platform for further study.

• Units of study

Business Analytics Foundation With R Tools

• Business Analytics Foundation With R Tools
• Objectives
• Analytics
• Places Where Analytics is Applied
• Topics Covered
• Career Path
• Thank You

Introduction to Analytics

• Introduction to Analytics
• Analytics v/s Analysis
• What is Analytics?
• Popular Tools
• Role of Data Scientist
• Data Analytics Methodology
• Problem Definition
• Summarizing Data
• Data Collection
• Data Dictionary
• Outlier Treatment
• Quiz

Statistical Concepts And Their Application In Business

• Statistical Concepts And Their Application In Business
• Descriptive Statistics
• Probability Theory
• Tests of Significance
• Non-parametric Testing
• Quiz

Basic Analytic Techniques - Using R

• Introduction
• Data Exploration
• Data Visualization
• Pie Charts
• Correlation
• Analysis of variance
• Chi-squared test
• T-test
• Summary
• Quiz

Predictive Modelling Techniques

• Predictive Modelling Techniques
• Linear Regression
• Regression analysis and types of regression models
• Build a simple linear regression model
• Logistic Regression
• Cluster Analysis
• Time series
• Cyclical versus seasonal analysis
• Decomposing Non-Seasonal Time Series
• Exponential smoothing
• Advantages and disadvantages of Exponential Smoothing
• White noise
• Auto-Regressive (AR) Models
• Forecasting methods - Summarized table
• Summary
• Quiz