Power BI for Data Visualization and Analysis

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Power BI for Data Visualization and Analysis provided by Udemy is a comprehensive online course, which lasts for 4-5 hours worth of material. Power BI for Data Visualization and Analysis is taught by Manoj Chandak. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • Microsoft Power BI for Business Intelligence

    What you'll learn:

    • Creating various charts for data visualization
    • Analysing & Interpretation of the visualizations for effective decision making
    • Data transformation techniques
    • Slicing & filtering data visualization
    • Using Power BI analytical tools for business insights

    In today’s world, businesses are capturing huge data from various business activities. One can discover lots of precious information, patterns for making effective decisions from this data if you have right tool & right skills. Microsoft Power BI is a very powerful tool for this purpose & this course will provide the right skills to achieve these objectives.

    In this course, you will learn:

    What is data visualization, how to get data in Power BI & flow of creating chart

    Data transformation, Data Summarization by Grouping, Joining Data Tables, Creating Calculated Columns, Creating Measures, Calculated Columns vs Measures, Grouping Data Categories, Applying Data Hierarchy

    Data visualization using charts like Stacked Column & Bar Charts, Clustered Column & Bar Charts Line Chart, Area & Stacked Area Charts, Pie & Donut Charts, Stacked & Clustered Line Column Combined Charts, Funnel Chart, Waterfall Chart, TreeMap Chart, Scatter Plot Chart, Geographical Maps

    Presenting data in tabular format using Table, Matrix Cross-tab & Cards.

    Visual Data Slicing & three different mode of filtering


    Data Analysis using trend line, constant line, max-min line, average & median line. Forecasting & data clustering.