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Excel Data Science with Power BI & R

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6:55:15

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  • 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
  • Description


    Power BI and R

    What You'll Learn?


    • Learn to combine Power BI's visualization with R's advanced statistical analysis for powerful data insights and decision-making in any business environment.
    • Master Power BI's dashboards and R’s statistical techniques to analyze trends, forecast outcomes, and drive data-driven decisions for business success.
    • Discover how to integrate Power BI and R for dynamic visualizations, advanced analytics, and actionable insights to enhance your data analysis skills.
    • Elevate your data skills by learning how to merge Power BI’s visual tools with R’s statistical power to create impactful insights for business decisions.

    Who is this for?


  • Business Analysts: Professionals looking to enhance their data analysis skills by integrating Power BI’s visualization with R’s advanced statistical capabilities.
  • Data Scientists: Individuals who want to leverage Power BI for interactive dashboards while applying R for deeper statistical analysis and forecasting.
  • Aspiring Data Professionals: Those seeking to enter the data science field, looking to gain practical knowledge in using both Power BI and R for comprehensive data insights.
  • Decision Makers and Strategists: Executives and managers who want to better understand how to drive data-driven decisions using advanced analytics and visualization.
  • Power BI Users: Current Power BI users interested in expanding their skills by incorporating R’s robust data manipulation and analysis techniques.
  • What You Need to Know?


  • Basic Knowledge of Power BI: Familiarity with Power BI’s interface and basic data visualization techniques is recommended.
  • Understanding of R or Programming Basics: Prior experience with R or a general understanding of programming and data manipulation is helpful, but not mandatory.
  • Foundational Data Analysis Skills: Basic knowledge of data analysis concepts, such as working with datasets, interpreting data, and creating simple reports, is ideal.
  • Access to Power BI and R: Ensure you have access to both Power BI and R installed on your system to follow along with the exercises.
  • No prior advanced experience in Power BI or R is required, as the course will guide you through their integration step by step.
  • More details


    Description

    Excel TV is excited to offer our premium course, Data Science with Power BI & R, led by renowned data science expert, Ryan Wade. This course is designed to equip professionals with the skills to harness the full potential of Power BI's advanced visualization features and the robust statistical computing power of R.

    In today’s data-driven world, businesses are increasingly relying on insights gleaned from vast datasets. Power BI, with its intuitive and dynamic dashboards, allows users to visualize and interpret data with ease. However, to gain deeper, more complex insights, R’s statistical computing capabilities are indispensable. This course brings together the best of both worlds, teaching you how to seamlessly integrate these two powerful tools for comprehensive data analysis.

    Under Ryan Wade's expert guidance, you’ll not only learn how to create compelling visual reports using Power BI, but also how to implement advanced statistical techniques with R to analyze trends, forecast outcomes, and derive actionable insights. Whether you’re a business analyst, data scientist, or aspiring professional, this course will empower you to take your data analysis skills to the next level.

    By the end of the course, you’ll have mastered the ability to generate impactful, data-driven insights that can drive strategic decision-making within any organization. Don’t miss this opportunity to elevate your data science expertise with Excel TV’s Data Science with Power BI & R course!

    Who this course is for:

    • Business Analysts: Professionals looking to enhance their data analysis skills by integrating Power BI’s visualization with R’s advanced statistical capabilities.
    • Data Scientists: Individuals who want to leverage Power BI for interactive dashboards while applying R for deeper statistical analysis and forecasting.
    • Aspiring Data Professionals: Those seeking to enter the data science field, looking to gain practical knowledge in using both Power BI and R for comprehensive data insights.
    • Decision Makers and Strategists: Executives and managers who want to better understand how to drive data-driven decisions using advanced analytics and visualization.
    • Power BI Users: Current Power BI users interested in expanding their skills by incorporating R’s robust data manipulation and analysis techniques.

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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 57
    • duration 6:55:15
    • Release Date 2025/02/24