Learning Path: R: Master Data Mining Techniques with R

AulaGEO Academy

Training

Online

up to £ 100

The best Modelling courses

See all

See all

Description

  • Type

    Training

  • Methodology

    Online

  • Class hours

    7h

  • Start date

    Different dates available

"The world is emitting data at a very high pace and everyone wants to gain insights from the huge number of data coming their way. Data mining provides a way of finding these insights and R has become the go-to-tool for it among the data analysts and data scientists. If you're looking forward to working on complex data mining projects and gaining deeper insights of data, then go for this Learning Path.Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.The highlights of this Learning Path are: Practical projects on real-world data mining use cases presented in a very easy to understand manner, One stop solution to perform spatial data mining, text mining, social media mining, and web miningLet’s get on this data mining journey together! This Learning Path starts with a brief introduction to R and setting up the development environment. This Learning Path will then teach you various data mining techniques, showing you how to apply different mining concepts to various statistical and data applications in a wide range of fields. After completing this Learning Path, you will have a solid understanding of all data mining techniques and how to implement them using R, in any real-world scenario.We have combined the best authors to ensure that your learning journey is smooth:Dr. Samik Sen is a theoretical physicist and loves thinking about hard problems. After his PH.D. in developing computational methods to solve problems for which no solutions existed, he began thinking about how to tackle math problems while lecturing. Pradeepta Mishra is a data scientist, predictive modeling expert, deep learning and machine learning practitioner, and an econometrician."

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

"Make use of statistics and programming to understand data mining concepts and their applicationExplore various libraries available in R for data miningApply data management steps to handle large datasetsGet to know various data visualization libraries available in R to represent dataCreate predictive models to build a recommendation engineImplement various dimension reduction techniques to handle large datasetsAcquire knowledge about the neural network concept drawn from computer science and its applications in data mining"

This Learning Path is aimed at aspiring or professional data analysts or data scientists who want to gain deeper insights of data.

"Basic programming knowledge of RBasic knowledge of Math and Statistics"

"-100% online -Access to the course for life -30 days warranty money back -Available from desktop or mobile app -Can begin and finish the course any time -Can repeat the course any times"

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

This centre's achievements

2020

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 3 years

Subjects

  • Networks
  • Project
  • spatial
  • Programming
  • R
  • R Data
  • R Basic
  • Data
  • Data Analytics
  • Statistics
  • Data Mining
  • Data Visualization
  • String Manipulation
  • Data Projects
  • Geomapping
  • Charts
  • R Types
  • Data Mining Projects
  • R Studio
  • Programming blocks

Course programme

"Speaking ‘R’ - The Language of Data Science
The Course Overview
What Is R?
Getting and Setting Up R/Rstudio
Using RStudio
Packages
A Lot Is the Same
Familiar Building Programming Blocks
Putting It All Together
Core R Types
Some Useful Operations
More Useful Operations
Titanic
Tennis
It's Mostly Cleaning Up
The Most Widely Used Statistical Package
Distributions
Time to Get Graphical
Plotting to Another Dimension
Facets
Test Your Knowledge
R Data Mining Projects
The Course Overview
What Is Data Mining?
Introduction to the R Programming Language
Data Type Conversion
Sorting, Merging, Indexing, and Subsetting Dataframes
Date and Time Formatting
Types of Functions
Loop Concepts
Applying Concepts
String Manipulation
NA and Missing Value Management and Imputation Techniques
Univariate Data Analysis
Bivariate Analysis
Multivariate Analysis
Understanding Distributions and Transformation
Interpreting Distributions and Variable Binning
Contingency Tables, Bivariate Statistics, and Checking for Data Normality
Hypothesis Testing
Non-Parametric Methods
Introduction to Data Visualization
Visualizing Charts, and Geo Mapping
Visualizing Scatterplot, Word Cloud and More
Using plotly
Creating Geo Mapping
Introduction about Regression
Linear Regression
Stepwise Regression Method for Variable Selection
Logistic Regression
Cubic Regression
Introduction to Market Basket Analysis
Practical project
Test Your Knowledge
Advanced Data Mining projects with R
The Course Overview
Understanding Customer Segmentation
Clustering Methods – K means and Hierarchical
Clustering Methods – Model Based, Other and Comparison
What Is Recommendation?
Application of Methods and Limitations of Collaborative Filtering
Practical Project
Why Dimensionality Reduction?
Practical Project around Dimensionality Reduction
Parametric Approach to Dimension Reduction
4.1 Introduction to Neural Networks
Understanding the Math Behind the Neural Network
Neural Network Implementation in R
Neural Networks for Prediction
Neural Networks for Classification
Neural Networks for Forecasting
Merits and Demerits of Neural Networks
Test Your Knowledge"

See related categories

Learning Path: R: Master Data Mining Techniques with R

up to £ 100

The best Modelling courses

See all

See all