Data Analytics with R Training → Module 1: Introduction to Data Analytics

Data Analytics with R Training

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- Module 1: Introduction to Data Analytics
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- Module 2: Introduction to R Programming
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- Module 3: Data Manipulation in R
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- Module 4:Data Import Techniques in R
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- Module 5: Exploratory Data Analysis
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- Module 6: Data Visualization in R
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- Module 7: Data Mining: Clustering Techniques
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- Module 8: Data Mining: Association Rule Mining & Collaborative filtering
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- Module 9: Linear and Logistic Regression
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- Module 10: Anova and Sentiment Analysis
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- Module 11: Data Mining: Decision Trees and Random Forest

Data Analytics with R Training

Module 1: Introduction to Data Analytics

Introduction to terms like Business Intelligence, Business Analytics, Data, Information, how information hierarchy can be improved/introduced, understanding Business Analytics and R, knowledge about the R language, its community and ecosystem, understand the use of ‘R’ in the industry, compare R with other software in analytics, Install R and the packages useful for the course, perform basic operations in R using command line, learn the use of IDE R Studio and Various GUI, use the ‘R help’ feature in R, knowledge about the worldwide R community collaboration.

Next Module 2: Introduction to R Programming

Data Analytics with R Training