Machine Learning and Data Science Hands-on with Python and R
Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more
Beginners Training on R Programming
R is a programming language and related to software environment for statistical computing and graphics. R programming languages is mostly used in graphics, it also used mostly by statisticians for developing software’s. Through this course one will be learning about basic R functions, special numerical values, array and matrix, repository and packages, installing a package, how to calculate variance, co-variance, cumulative frequency, learn about statistics, probability and distribution, random examples, discrete example and many as such concept about R.
Through this training you are going to learn the basics of R and how it can be used for data processing and data visualization to carry out exploratory analysis.
Target Customers:
Analytics professional
Anyone interested in R Programming related Training
Web developers
People interested in statistics and data sciences
Researchers
Pre-Requisites:
Passion to learn about R Programming Courses
Computer ready to run R and RStudio
Basic knowledge of statistics
Computer with Internet Connection
Statistics Essentials for Analytics – Beginners:
Data and analytics is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
Through this tutorial you are going to learn the basic statistical concepts that are important to data analytics and its application using R, SPSS and Minitab.
The training will include the following;
Module1: Introduction to basic elements of Statistics
Module2: Measures of central tendency using R or Minitab Software
Module3: Measure of Dispersion using R/Minitab Software
Module4: Correlation and Simple linear regression using R programme
Module5: Understanding of Normal Distribution using R programme
Market Basket Analysis in R:
Market Basket Analysis is a modelling technique based upon the theory that if you buy a certain group of items, you are more (or less) likely to buy another group of items. We are understanding the conceptual foundations of association analysis and perform market basket analyses.
The training includes the following topics;
1. What is Market Basket analysis
– Introduction
– What Market Basket Analysis is not
– Elements of MBA and key terminologies
– Understanding Confidence and Support
– Association rules
– Examples of MBA
– Applications
2. Case study – MBA for marketing campaign using R
– Problem statement
– Introduction to apriori algorithm in R
– Deciding the support and confidence cutoffs
– Executing MBA
– Visualizing the results in R
Data Visualization with R Shiny – Basic Tutorials:
Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format.
Through this training we are going to learn how to use R and Shiny to create fascinating data visualizations.
The training will include the following;
Introduction
Web Development
Shiny
Resources
Getting Started
Structure of a Shiny App
UI
Server
Reactive Programming
Add-on Packages
Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more
Master Fibonacci, Elliott, Patterns, Moving Averages, Candlesticks, Options, Oscillators, Charts, Volume, Open Interest
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