Udemy - Business Intelligence and Data Analytics using R

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 2.0 GB
  • Uploaded By freecoursewb
  • Downloads 135
  • Last checked 19 hours ago
  • Date uploaded 6 months ago
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Infohash : 031D5588D2C6B6E2E91AACF345F4C3FCD647B21B



Business Intelligence and Data Analytics using R

https://WebToolTip.com

Published 7/2025
Created by A. Robert Singh,Suganya A
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 19 Lectures ( 4h 17m ) | Size: 2 GB

Transforming Raw Data into Actionable Insights with R – A Practical Approach to Business Intelligence and Analytics

What you'll learn
Explain the concept of Business Intelligence (BI) and describe its historical evolution, key milestones, and the technological advancements
nstrate understanding of data preprocessing techniques using R by identifying, cleaning, transforming, and preparing raw business data for analysis
Apply supervised learning techniques to build predictive models with R using labeled business data, and evaluate model performance
Utilize unsupervised learning techniques such as clustering using R to uncover hidden patterns, groupings, and insights from unlabeled business data
Create and interpret a variety of data visualizations using R to effectively communicate business insights and support data-driven decision-making.

Requirements
basic programming knowledge

Files:

[ WebToolTip.com ] Udemy - Business Intelligence and Data Analytics using R
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Introduction to Business Intelligence
    • 1 -The Evolution of Business Intelligence (BI).mp4 (44.9 MB)
    • 2 -Business Intelligence Value Chain.mp4 (131.3 MB)
    • 3 -Applications of Business Intelligence.mp4 (67.6 MB)
    2 - Business Data Preprocessing
    • 1 -Business Data Preprocessing.mp4 (76.5 MB)
    • 2 -Exploratory Data Analytics.mp4 (19.8 MB)
    • 3 -Exploratory Data Analytics - Hands-on.mp4 (83.3 MB)
    • 4 -Data Cleaning - Hands-on.mp4 (143.8 MB)
    3 - Supervised Data Modeling
    • 1 -Linear Regression.mp4 (35.3 MB)
    • 2 -Classification.mp4 (159.4 MB)
    • 3 -Linear Regression - Hands-on.mp4 (43.4 MB)
    • 4 -Classification - Hands-on.mp4 (166.7 MB)
    4 - Unsupervised data modeling
    • 1 -Clustering.mp4 (55.3 MB)
    • 2 -Clustering - Hands-on.mp4 (121.5 MB)
    • 3 -Time Series Analysis.mp4 (55.0 MB)
    • 4 -Time Series Analysis - Hands-on.mp4 (154.3 MB)
    5 - Data Visualization
    • 1 -GGPlot.mp4 (61.4 MB)
    • 2 -GGPlot - Hands-on.mp4 (188.6 MB)
    • 3 -Geo Plots.mp4 (64.9 MB)
    • 4 -Geo Plots - Hands-on.mp4 (325.9 MB)
    • Bonus Resources.txt (0.1 KB)

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