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Course Outline
Basic Excel
- Navigation
- Manipulating data
- Working with formulas and addresses
- Charts
Advanced Excel
- Logical functions
- Scenario analysis
- Solver
- Macros
- First glimpse of code: VBA
VBA
- Data types
- Writing a function
- Controlling a program: conditional evaluation and loops
- Debugging techniques
Data Analytics with R
- Introducing R
- Variables and types
- Data manipulation in R
- Writing functions
- Data visualization using ggplot
- Data wrangling with Dplyr
Introduction to Machine Learning with R
- Linear Regression
- Classification and regression trees
- Classification using Support Vector Machines and Random Forests
- Clustering techniques
Requirements
There are no specific requirements needed to attend this course.
42 Hours
Testimonials (3)
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
I mostly liked the patience of Tamil.
Laszlo Maros
Course - Data and Analytics - from the ground up
Tamil is very knowledgeable and nice person, I have learned from him a lot.