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This plan includes
- Instant access to 11,000+ online courses
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HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
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This plan includes
- Instant access to 11,000+ online courses
- Play & Pause Course Videos
- HD Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Chat Support
- Cancel Plan Anytime
What you'll learn?
- Understand the key concepts and benefits of Microsoft Power BI for data analytics and business intelligence.
- Navigate and utilize Power BI Desktop proficiently for creating, designing, and sharing reports and dashboards.
- Connect to various data sources, import data, and perform data transformation and cleaning using Power Query.
- Design and optimize data models in Power BI, including creating relationships between tables and implementing advanced modeling techniques like star schema.
- Master the use of DAX (Data Analysis Expressions) to perform calculations, create measures, and solve complex analytical scenarios.
- Create visually compelling and interactive visualizations, utilizing a wide range of chart types, formatting options, and custom visuals.
- Apply advanced data analysis techniques, including time intelligence calculations, advanced DAX functions, and calculations across multiple tables.
- Collaborate and share Power BI reports with colleagues and stakeholders, and publish reports to Power BI service for wider consumption.
- Administer and manage Power BI resources, including gateways, data refresh, security, and performance optimization.
- Access additional resources such as Power BI documentation, community forums, blogs, and learning paths to continue learning and expanding Power BI skills.
Course Overview
This course is designed to empower you with the skills and knowledge to become a proficient data analyst using the powerful Microsoft Power BI tool.
In this comprehensive course, you will start by learning the fundamentals of Power BI and its benefits for organizations. You will explore the Power BI Desktop application, download and install it on different operating systems, and get familiar with the user interface and available tools.
Next, you will dive into data preparation and modeling techniques. You will understand various data sources in Power BI and learn how to connect to different data sources. You will explore data modeling concepts, database tables, and relationship concepts. Additionally, you will discover the power of Power Query for data transformation and cleaning, as well as the capabilities of Data Analysis Expressions (DAX) for analysis and calculations.
Once you have mastered the essentials, you will move on to visualization and reporting. You will explore different visualization types in Power BI, design effective charts and graphs, and enhance visualizations with formatting options. You will also discover advanced visualization techniques such as bar chart race animation, creating interactive reports and dashboards, and utilizing custom visuals and extensions.
In the advanced modeling and analysis section, you will deepen your understanding of DAX functions and formulas, implement measures and calculated columns, and solve complex analysis scenarios. You will also explore advanced data modeling techniques, including star schema implementation and data model optimization best practices.
The course will then guide you through the usage of Data Gateway for data refresh and collaboration, sharing and publishing Power BI reports, and creating content packs and apps for distribution. You will also learn about Power BI administration, performance optimization, and monitoring report performance and usage metrics.
As a bonus, you will have access to additional resources such as official Power BI documentation, the Power BI community, the Power BI blog, video tutorials on the official Power BI YouTube channel, whitepapers for in-depth understanding, forums for discussions, Microsoft's official learning paths, and recommended books and publications.
By the end of this course, you will have gained the skills and confidence to utilize Microsoft Power BI effectively for data analytics, visualization, and reporting. Whether you are a beginner or an experienced professional, this comprehensive course will empower you to unlock the full potential of Power BI and make data-driven decisions for your organization's success.
Enroll now and join me on this exciting journey to become a master of data analytics with Microsoft Power BI!
Keywords: Power BI, Microsoft Power BI, Data Analytics, Data Visualization, Power BI Desktop, Business Intelligence, Data Modeling, DAX, Power Query, Visualization Techniques, Advanced Modeling, Data Gateway, Collaboration, Administration, Performance Optimization.
Please note that the course outline is subject to change and can be adjusted based on the latest advancements and updates in the Power BI ecosystem.
Pre-requisites
- Basic computer literacy: Familiarity with operating systems, navigating software applications, and file management.
- Fundamental data analysis concepts: A basic understanding of data types, variables, and basic statistical measures will be helpful.
- Familiarity with Microsoft Excel: Knowledge of Excel functionalities such as data manipulation, formulas, and basic charting will provide a foundation for learning Power BI.
- Access to a computer: A computer or laptop with a stable internet connection is necessary to download and install Power BI Desktop.
- Power BI Desktop: Learners will need to have Power BI Desktop installed on their computer. It can be downloaded for free from the official Microsoft website.
Target Audience
- Data Analysts: Those who work with data and want to enhance their analytical skills by leveraging Power BI for data visualization, modeling, and reporting.
- Business Intelligence Professionals: Professionals involved in business intelligence roles, who want to expand their knowledge and expertise in Power BI to create impactful visualizations and deliver insightful reports.
- Data Professionals: Database administrators, data engineers, and data scientists who want to incorporate Power BI into their workflow for data analysis, modeling, and communication of insights.
- Business Professionals: Managers, executives, and decision-makers who want to develop a strong understanding of Power BI to drive data-driven decision-making and gain valuable insights from their business data.
- IT Professionals: IT specialists and developers who want to integrate Power BI into their organization's data infrastructure, create custom solutions, and administer Power BI resources effectively.
- Aspiring Power BI Developers: Individuals who aim to pursue a career as a Power BI developer and want to acquire a comprehensive skill set covering data modeling, DAX calculations, visualization, and report sharing.
Curriculum 50 Lectures 03:14:22
-
Section 1 : Introduction to PowerBI
- Lecture 2 :
- Welcome Message and Course Introduction
- Lecture 3 :
- Overview of this Section
- Lecture 4 :
- Introduction to Business Intelligence
- Lecture 5 :
- Introduction to Power BI
- Lecture 6 :
- Downloading and Installing Power BI Desktop
- Lecture 7 :
- Power BI User Interface
- Lecture 8 :
- Test your knowledge gained from the introductory lectures with this quiz.
-
Section 2 : Data Preparation and Modeling
- Lecture 1 :
- About Data Preparation and Modeling
- Lecture 2 :
- Introduction to data modeling in Power BI
- Lecture 3 :
- Overview of data sources in Power BI
- Lecture 4 :
- Understanding database tables and relationship concepts
- Lecture 5 :
- Data Sources for this course
- Lecture 6 :
- Exploring ETL (Extract, Transform, Load) processes in Power BI
- Lecture 7 :
- Overview of Power Query and its capabilities
- Lecture 8 :
- Transforming data using Power Query
- Lecture 9 :
- Cleaning and shaping data for analysis
- Lecture 10 :
- Understanding DAX and its role in Power BI
- Lecture 11 :
- Using DAX for analysis and calculations
- Lecture 12 :
- Creating Date Dimension / calendar Table using DAX
-
Section 3 : Visualization and Reports
- Lecture 1 :
- About Visualization Section
- Lecture 2 :
- Visuals Introduction
- Lecture 3 :
- Working with Visuals
- Lecture 4 :
- Storytelling using Data - The Bar Chart Race of World Population
- Lecture 5 :
- Getting Visuals for your specific Business needs
- Lecture 6 :
- Publishing Report to Power BI Service and Creating Multiple Versions
- Lecture 7 :
- Creating Reports with Multiple Tables in Data Source
-
Section 4 : Advanced Modeling and Analysis
- Lecture 1 :
- About Advanced Modeling and Analysis
- Lecture 2 :
- Implementing Star Schema for Efficient Data Modeling
- Lecture 3 :
- Snowflake Dimensions
- Lecture 4 :
- Connecting and Relating Multiple Tables
- Lecture 5 :
- Real-Time Data Analysis with Power BI: Creating a Streaming Dataset and Integrat
- Lecture 6 :
- Introduction to Dataflow: Streamline Your Data Preparation and Model
- Lecture 7 :
- Dataflow: Data Extraction from Various Data Sources using Dataflow in Power BI
- Lecture 8 :
- Dataflow to Dataset: Creating Dynamic Reports with Dataflow in Power BI Desktop
-
Section 5 : Power BI Service - Publishing and Sharing Reports and Dashboards
- Lecture 1 :
- PowerBI Service
- Lecture 2 :
- PowerBI Service - Introduction
- Lecture 3 :
- Publishing Report to Power BI Service
- Lecture 4 :
- Mobile Layout - Power BI Online
- Lecture 5 :
- Dashboard: Consolidated view of key metrics and data visualization
-
Section 6 : Data Gateway and Collaboration
- Lecture 1 :
- What is Data Gateway and Collaboration in Power BI
- Lecture 2 :
- Creating Sharing and Publishing App in Power BI
- Lecture 3 :
- Power BI On-Premises Gateway
-
Section 7 : Administration and Performance Optimization
- Lecture 1 :
- What is Administration and Performance Optimization in Power BI
- Lecture 2 :
- Row-level security (RLS)
-
Section 8 : Implementation and Deployment Best Practices
- Lecture 1 :
- Understanding Implementation and Deployment
- Lecture 2 :
- Follow Best Practices to Start Your First Project
- Lecture 3 :
- Implementation Strategy : Scenarios
- Lecture 4 :
- Usage Scenarios
-
Section 9 : Whats Next?
- Lecture 1 :
- Congratulations and Thank You!
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