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- Analytics Definition and Applications
- Levels of analytics
- Quiz Module 1
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- Henry Harvin
- Courses
- Certified Business Analytics Practitioner
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course and certificate fees
certificate availability
Yes
certificate providing authority
Henry Harvin
The syllabus
Module 1: Analytics
Module 2: Introduction to R programing
- R Environment and R Studio
- Version, R, R-studio Menu, Panes
- Data Management
- Enter, read, print, import/export data
- Improving functionality with additional packages
- Package install, load, detach
- Quiz Module 2
Module 3: Data Structures & Operators
- Data Structures
- Operators
- Data Types
- Quiz Module 3
Module 4: Data Management
- Subsetting Data
- Restructuring, Reorganising & Reshaping Data
- Descriptive Statistics
- Quiz Module 4
Module 5: Apply Functions in R
- Loop Family
- Mapply, sapply, tapply
- Quiz Module 5
Module 6: Aggregate and Table Functions
- Data Summarization using aggregate
- Aggregate
- Data Summarization using table
- Table
- Quiz Module 6
Module 7: Data Manipulation In R
- Data Summarisation using dplyr
- dplyr package
- Quiz Module 7
Module 8: Graphs
- Basic Graph intro + scatter plot
- Basic Boxplot
- Basic Barplot
- Basic Histogram
- Basic Pie-chart
- Quiz Module 8
Module 9: Advanced Graphs
- Advance graph intro
- ggplot: scatterplot
- ggplot: barplot
- ggplot: heatmap
- Quiz Module 9
Module 10: Linear Regression, Classification, and Analysis
- Simple Linear Regression
- Single linear regression model
- Multi-Linear Regression
- Multi-linear regression model
- Logistic Regression
- Logistic Regression Modeling: Logistic Regression Model
- Decision Tree Classification
- Decision Tree Classification- intro : -Decision Tree Regression - codes
- Cluster Analysis
- Clustering-intro: clustering models and analysis
- Quiz Module 10
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