Business Analytics using R
Course
Online
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Duration
Flexible
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Start date
Different dates available
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Online campus
Yes
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Delivery of study materials
Yes
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Support service
Yes
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Virtual classes
Yes
The future of decision making will greatly rely on data, and no industry will remain untouched by this development. Data, however, has its own set of issues and challenges; for the data available to be meaningful and concise, one needs to organize it efficiently.
In the program, you will learn the nuances of data collection, data presentation, and model building using real-life datasets. You will learn how to build supervised and unsupervised machine learning models, you will be introduced to algorithms to solve classification and segmentation problems. We will also introduce you to R platform, and different algorithms which can be used in the model building activity.
At the end of the program you will develop a clear understanding of the need for business analytics and will be able to apply it to solve some interesting problems cutting across various business domains.
Facilities
Location
Start date
Start date
About this course
Understand key concepts on business analytics.
Understand some of the primary algorithms used for data analysis.
Understand and apply supervised and unsupervised machine learning algorithms.
Understand the various sampling strategies and its efficacy in learning process.
Gain hands-on experience in applying R on real life dataset.
Complete a full life cycle of a project using R.
Be aware of different packages which can be used in R for making robust and complex models.
The program is designed for beginners and no prerequisites are required. However, exposure to statistics and programming will be helpful.
Computer- Preferably Windows 7 or higher/ Mac OS installed
Operating System- Windows (Version XP or later) / Mac OS X with XQuartz
Minimum 8 GB RAM on the system
Latest version of R and R Studio should be installed on their system.
Reviews
Subjects
- Algorithms
- Business Analytics
- Analytics
- R Programming
- Programming
- Data manipulation
- Reading Data Files
- Statistics with R
- Visualization
- Hypothesis
Course programme
Data Science Foundations
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Introduction to Business Analytics
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Introduction to Business Analytics
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Fundamentals of R | Reading Data Files, Data Manipulation
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Statistics with R
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Data Manipulation and visualization using real life dataset
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Inferential Statistics |Hypothesis Testing, ANOVA, etc
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Predictive Modelling| Linear Regression
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Classification | Logistic Regression, Decision Trees etc
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Clustering or Segmentation |K-means and Hierarchical
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Forecasting | Time series
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Retail Analytics
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Healthcare Analytics
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Finance and Risk Analytics
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Marketing Mix Modelling
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Churn Prediction|Attrition Management
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Credit Rating.
Business Analytics using R