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Master Power BI & R Integration: Advanced Data Science 2024

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6:55:15

  • 1 -Installing R CRAN and MRAN.mp4
    04:20
  • 2 -Installing MRO DEMO.mp4
    01:03
  • 3 -Setting Up The IDE.mp4
    00:39
  • 4 -Installing RTVS DEMO.mp4
    02:28
  • 5 -RTVS Settings DEMO.mp4
    09:28
  • 6 -Solutions and Projects in RTVS DEMO.mp4
    12:42
  • 7 -Configuring Power BI To Work With R.mp4
    00:45
  • 1 -Important R Objects.mp4
    00:26
  • 2 -Atomic Vectors.mp4
    10:29
  • 3 -Augmented Vectors.mp4
    05:58
  • 4 -Lists.mp4
    03:32
  • 5 -Data Frames.mp4
    08:44
  • 1 -Methods To Read Data Into Power BI Using R.mp4
    02:11
  • 2 -Readr and Readxl Packages To Bring Data Into PowerBI DEMO.mp4
    12:39
  • 3 -PREVIEW String Manipulations In R DEMO.mp4
    05:15
  • 4 -RODBC Package To Bring data Into PowerBI DEMO.mp4
    09:55
  • 5 -Data.Table and Purr Packages To Combine Data Files DEMO.mp4
    09:34
  • 6 -Combining Multiple Files Using Magrittr Package DEMO.mp4
    14:29
  • 7 -Combining Excel Worksheets with ReadXL Package DEMO.mp4
    10:28
  • 1 -Dplyr Introduction.mp4
    04:50
  • 2 -Inner And Left Joins.mp4
    08:35
  • 3 -Joining Data With Different Column Names DEMO.mp4
    02:08
  • 4 -Filtering Data in R DEMO.mp4
    06:04
  • 5 -Selecting Columns From A Data Frame in R DEMO.mp4
    10:05
  • 6 -Summarizing Data in R DEMO.mp4
    06:10
  • 7 -Mutate Verb to Create New Columns in R DEMO.mp4
    04:05
  • 1 -TIDY Data Introduction.mp4
    02:58
  • 2 -TIDY Data DEMO.mp4
    07:17
  • 1 -StringR Introduction.mp4
    03:32
  • 2 -Count Words Within A Text String DEMO.mp4
    08:58
  • 3 -Identify Valid Email Addresses DEMO.mp4
    13:55
  • 4 -Remove Numbers From A String DEMO.mp4
    11:45
  • 5 -Conditional Replacements DEMO.mp4
    07:13
  • 6 -Overview Of Functions In R.mp4
    02:33
  • 7 -ReScaling Data DEMO.mp4
    06:06
  • 8 -Calculate Distance Using A Custom Function.mp4
    05:36
  • 9 -Calculate Distance Using Geosphere Package DEMO.mp4
    06:17
  • 10 -Create Custom Visualizations with GGPLOT2.mp4
    02:26
  • 11 -Simple Chart Using GGPLOT2.mp4
    10:20
  • 12 -Additional Components.mp4
    01:15
  • 13 -Chart Scales and Labels in R DEMO.mp4
    07:13
  • 14 -Available Graphing Options.mp4
    03:01
  • 15 -Why Facet Charts are Beneficial.mp4
    03:40
  • 16 -Create Facet Charts in R DEMO.mp4
    05:32
  • 17 -Pretty Up Your Facet Charts In R DEMO.mp4
    03:59
  • 18 -CRISP-DM.mp4
    02:54
  • 19 -Popular Algorithms.mp4
    10:54
  • 20 -Text Analytics.mp4
    02:11
  • 21 -Logistic Regression Model in R DEMO.mp4
    36:29
  • 22 -Testing Your Model In PowerBI DEMO.mp4
    10:57
  • 23 -Introduction To Demos.mp4
    02:55
  • 24 -Big Data with R and SQL Server DEMO.mp4
    16:59
  • 25 -Scoring Data with SQL Server DEMO.mp4
    10:46
  • 26 -Using Tools in SQL Server for Larger Data Sets.mp4
    13:37
  • 27 -Stored Procedure Using Native Scoring DEMO.mp4
    01:41
  • 28 -Native Scoring DEMO.mp4
    10:37
  • 29 -Cognitive Services DEMO.mp4
    14:37

    • More details

    Course Overview

    This comprehensive course teaches you to combine Power BI's visualization power with R's statistical analysis to create dynamic dashboards, predictive models, and actionable business insights.

    What You'll Learn

    • Integrate Power BI dashboards with R's advanced analytics
    • Build predictive models and perform statistical forecasting
    • Create custom visualizations using ggplot2 in Power BI

    Who This Is For

    • Data scientists wanting to enhance Power BI capabilities
    • Business analysts seeking advanced analytics skills
    • Power BI users looking to incorporate R programming

    Key Benefits

    • No advanced R experience required
    • Hands-on projects with real-world applications
    • Master the complete data science workflow

    Curriculum Highlights

    1. Setting up R-Power BI integration
    2. Data manipulation with dplyr and tidyverse
    3. Advanced analytics and custom visualizations