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30 Days
Data Analysis and Visualization

 Power BI Masterclass: Data Visualization and Business Intelligence.

 Unlock the power of data with our comprehensive Power BI Masterclass. In today's data-driven world, businesses and organizations rely on data to make informed decisions. Power BI is a leading business intelligence tool that empowers professionals to visualize and analyze data, enabling them to extract valuable insights. Whether you're a data enthusiast, a business analyst, or a professional looking to enhance your skill set, this course will equip you with the knowledge and expertise needed to harness the full potential of Power BI.

Course Highlights:

  1. Introduction to Power BI: Begin with an overview of Power BI, understanding its role in data visualization and business intelligence. Explore the benefits of using Power BI for data analysis and reporting.

  2. Getting Started with Power BI: Learn how to set up your Power BI environment, connect to data sources, and navigate the user interface.

  3. Data Transformation and Cleaning: Dive into the process of preparing and cleaning data for analysis, ensuring that it is accurate and ready for visualization.

  4. Data Modeling: Explore data modeling concepts, including relationships, hierarchies, and calculated columns, to create a solid foundation for your reports.

  5. Data Visualization: Master the art of creating compelling and insightful data visualizations, including charts, graphs, tables, and interactive dashboards.

  6. Advanced Data Techniques: Discover advanced data analysis techniques such as DAX (Data Analysis Expressions) and Power Query, enabling you to perform complex calculations and transformations.

  7. Power BI Desktop: Explore the Power BI Desktop application, an essential tool for designing and building reports and dashboards.

  8. Report Publishing and Sharing: Learn how to publish and share your reports and dashboards with stakeholders, ensuring data accessibility and collaboration.

  9. Power BI Service: Understand the capabilities of Power BI Service, a cloud-based platform for sharing, collaborating, and accessing reports from anywhere.

  10. Integration and Automation: Explore integrations with other Microsoft tools, and automate data refresh and report generation.

  11. Real-World Projects: Apply your knowledge to real-world data analysis and visualization projects, from data exploration to final report creation.

  12. Certification: Receive a certificate of completion, validating your expertise in Power BI.

Course Content :

  1. 1. Get started with Microsoft data analytics [2hrs]

    1. Discover data analysis [1hr].

      1. Introduction

      2. Overview of data analysis

      3. Roles in data

      4. Tasks of a data analyst  

    2. Get started building with Power BI         [1hr]

      1. Introduction

      2. Use Power BI

      3. Building blocks of Power BI

      4. Tour and use the Power BI service

  2. 2. Prepare data for analysis with Power BI [4hrs ]

    1. Get data in Power BI [2hr]

      1. Introduction

      2. Get data from files

      3. Get data from relational data sources

      4. Create dynamic reports with parameters

      5. Get data from a NoSQL database

      6. Get data from online services

      7. Select a storage mode

      8. Get data from Azure Analysis Services

      9. Fix performance issues

      10. Resolve data import errors

    2. Clean, transform, and load data in Power BI [2 hrs]

      1. Introduction

      2. Shape the initial data

      3. Simplify the data structure

      4. Evaluate and change column data types

      5. Combine multiple tables into a single table

      6. Profile data in Power BI

      7. Use Advanced Editor to modify M code

      8. Exercise - Load data in Power BI Desktop

  3. 3. Model data with Power BI [11hr]

    1. Describe Power BI Desktop models [1 hr]

      1. Introduction

      2. Star schema design

      3. Analytic queries

      4. Configure report visuals

    2. Choose a Power BI model framework [1hr]

      1. Introduction

      2. Describe Power BI model fundamentals

      3. Determine when to develop an import model

      4. Determine when to develop a DirectQuery model

      5. Determine when to develop a composite model

      6. Choose a model framework

    3. Design a data model in Power BI [2hrs]

      1. Introduction

      2. Work with tables

      3. Create a date table

      4. Work with dimensions

      5. Define data granularity

      6. Work with relationships and cardinality

      7. Resolve modeling challenges

      8. Exercise - Model data in Power BI Desktop

    4. Write DAX formulas for Power BI Desktop models [1hr]

      1. Introduction

      2. Write DAX formulas

      3. DAX data types

      4. Work with DAX functions

      5. Use DAX operators

      6. Use DAX variables

    5. Add measures to Power BI Desktop models [1h]

      1. Introduction

      2. Create simple measures

      3. Create compound measures

      4. Create quick measures

      5. Compare calculated columns with measures

      6. Check your knowledge

      7. Exercise - Create DAX Calculations in Power BI Desktop

    6. Add calculated tables and columns to Power BI Desktop models [1 hr]

      1. Introduction

      2. Create calculated columns

      3. Learn about row context

      4. Choose a technique to add a column

    7. Use DAX time intelligence functions in PowerBI Desktop models [1 hr ]

      1. Introduction

      2. Use DAX time intelligence functions

      3. Additional time intelligence calculations

      4. Exercise - Create Advanced DAX Calculations in Power BI Desktop

    8. Optimize a model for performance in Power BI [1 hr]

      1. Introduction to performance optimization

      2. Review performance of measures, relationships, and visuals

      3. Use variables to improve performance and troubleshooting

      4. Reduce cardinality

      5. Optimize DirectQuery models with table level storage

      6. Create and manage aggregations

    9. Enforce Power BI model security [2hrs]

      1. Introduction

      2. Restrict access to Power BI model data

      3. Restrict access to Power BI model objects

      4. Apply good modeling practices

      5. Exercise: Enforce model security

  4. 4. Build Power BI visuals and reports [9hrs]

    1. Scope report design requirements [1hr]

      1. Introduction

      2. Identify the audience

      3. Determine report types

      4. Define user interface requirements

      5. Define user experience requirements

      6. Explore report designs

    2. Design Power BI reports [2 hrs]

      1. Introduction

      2. Design the analytical report layout

      3. Design visually appealing reports

      4. Report objects

      5. Select report visuals

      6. Select report visuals to suit the report layout

      7. Format and configure visualizations

      8. Work with key performance indicators

      9. Exercise - Design a report in Power BI desktop4

    3. Configure Power BI report filters [1hr ]

      1. Introduction to designing reports for filtering

      2. Apply filters to the report structure

      3. Apply filters with slicers

      4. Design reports with advanced filtering techniques

      5. Consumption-time filtering

      6. Select report filter techniques

      7. Case study - Configure report filters based on feedback

    4. Enhance Power BI report designs for the user experience [2hrs]

      1. Design reports to show details

      2. Design reports to highlight values

      3. Design reports that behave like apps

      4. Work with bookmarks

      5. Design reports for navigation

      6. Work with visual headers

      7. Design reports with built-in assistance

      8. Tune report performance

      9. Optimize reports for mobile use

      10. Exercise - Enhance Power BI reports

    5. Perform analytics in Power BI [2hrs]

      1. Introduction to analytics

      2. Explore statistical summary

      3. Identify outliers with Power BI visuals

      4. Group and bin data for analysis

      5. Apply clustering techniques

      6. Conduct time series analysis

      7. Use the Analyze feature

      8. Create what-if parameters

      9. Use specialized visuals

      10. Exercise - Perform Advanced Analytics with AI Visuals

    6. Create paginated reports [1hr]

      1. Introduction to paginated reports

      2. Get data

      3. Create a paginated report

      4. Work with charts on the report

      5. Publish the report

  5. 5. Manage workspaces and datasets in Power BI [5hrs]

    1. Create and manage workspaces in Power BI [1hr]

      1. Introduction

      2. Distribute a report or dashboard

      3. Monitor usage and performance

      4. Recommend a development life cycle strategy

      5. Troubleshoot data by viewing its lineage

      6. Configure data protection

    2. Manage datasets in Power BI [1hr]

      1. Introduction

      2. Use a Power BI gateway to connect to on-premises data sources

      3. Configure a dataset scheduled refresh

      4. Configure incremental refresh settings

      5. Manage and promote datasets

      6. Troubleshoot service connectivity

      7. Boost performance with query caching (Premium)

    3. Create dashboards in Power BI [2hrs ]

      1. Introduction to dashboards

      2. Configure data alerts

      3. Explore data by asking questions

      4. Review Quick insights

      5. Add a dashboard theme

      6. Pin a live report page to a dashboard

      7. Configure a real-time dashboard

      8. Configure data classification

      9. Set mobile view

      10. Exercise - Create a Power BI dashboard

    4. Implement row-level security [1hr]

      1. Configure row-level security with the static method

      2. Configure row-level security with the dynamic method

      3. Exercise - Enforce row-level security in Power BI

  6. 6. Project