Machine Learning Data Science with R

Data Science with R

Catalog: Machine Learning
Short name: Data Science With R - 2023
Course start date: 2024-07-02
Paystack
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Description

The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data.This training is an introduction to the concept of Data science domain and its application using R programming language.


The tutorials will include the following;


Introduction to R programming

Reproducible Analysis

Data Manipulation

Visualizing Data

Working with Large Datasets

Supervised Learning

Unsupervised Learning

In depth R programming

Object oriented Programming

Building an R package

Testing and Package Checking

Version Control

Profiling and Optimizing

Course Duration:-6h 15m

Sections

General
0 activities

Introduction to Data Science with R
Understanding Datascience and its Modules
R Project for Statistical Computing
Purpose of using R Tool
Module on Data Visualization
Creating Pie Charts
Creating Bar Charts
Functions of Histogram
Method of Using Scatterplots
Creating Data for Line Charts
Case Study for Vector Values
Module on Advanced Data Visualization
with Functions for Plotting Values
How to Plot Car Value
Understanding the ggplot Value
Basic Example on Scatterplot
Scatterplot With Encircling
Learning the Jitter Plot
Counts Charts in ggplot
Section on Bubble Chart
Diverging Bars with ggplot
Diverging Lollipchart with ggplot
Implementation of Dot Plot
Purpose of using Area Charts
Ordered Bar Chart for Multiple Items
Simple Demonstration on Pie Chart
Simple Demonstration on Pie Chart
Example on Hierarchical Dendrogram
Learning about the Population Pyramids
Understanding the Change Plot
Case Study on Seasonal Plot
Basic Understanding on Statistics
Implementation of Mean Median and Mode
Understanding the Linear Regression
Understanding Multiple Regression
Functions of Logistic Regression
Learning Normal Distribution Curve
Understanding the Binomial Distribution
Involvement of Poisson Regression
Analysis of Covariance
Time Series Analysis
Nonlinear Least Square
Section on Decision Tree
The Random Forest Approach
Learning the Chi Square Test
Case Study on Survival Analysis
Understanding the Concept of Probability
Counting the Number of Combinations
Generating Random Numbers
Generating Random Sequences
Converting Probabilities to Quantiles
Criteria for Plotting a Density Function
Concept of Data Manipulation
Module on Machine Learning
Machine Learning Concepts with R
Machine Learning Datasets
Machine learning project with R
Course Certificate
Secure Video
57
Certificate
1
Cost: 5000
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Course Duration:-6h 15m