1711667135_Online_Digital_Marketing_Course_with_Certificate.png

Digital Marketing Course with Certificate


Enroll Now for Only: Rs.440/-  Rs.2199/-  80% OFF & Extra Discount on Promo Code "BHARAT"


Welcome to Our Microsoft Power BI Course with Certificate!

 

Are you ready to unlock the full potential of your data and transform it into actionable insights? Look no further! Our comprehensive Power BI Course is designed to equip you with the skills and knowledge needed to master Microsoft Power BI, one of the most powerful business intelligence tools available today.

 

Why Choose Our Power BI Course?

 

  1. Expert-Led Instruction: Learn from industry experts with years of experience in Power BI and data analytics.
  2. Hands-On Learning: Dive into practical, real-world projects and case studies to reinforce your learning.
  3. Flexible Learning Options: Access course materials anytime, anywhere, and at your own pace.
  4. Interactive Learning Environment: Engage with fellow learners, ask questions, and get personalized support from our instructors.
  5. Certificate of Completion: Earn a prestigious certificate upon successful completion of the course, validating your expertise in Power BI.

What You'll Learn:

  • Introduction to Power BI and its key features.
  • Data visualization techniques for creating impactful dashboards and reports.
  • Advanced data analysis techniques using DAX (Data Analysis Expressions).
  • Dashboard design best practices and optimization strategies.
  • Collaboration and sharing features in Power BI Service.
  • Real-world projects and case studies to apply your skills in practical scenarios.

Who Is This Course For?

  • Business professionals looking to harness the power of data for informed decision-making.
  • Data analysts seeking to enhance their skills in data visualization and analysis.
  • Entrepreneurs and small business owners aiming to leverage data-driven insights for growth.
  • Anyone interested in advancing their career in data analytics and business intelligence.

Course Structure:

  • Modules: The course is divided into [40+] Chapters & 10 Exams with one Final Exam, each focusing on specific topics.
  • Activities: Engage in various activities, including readings, quizzes, discussions, and assignments.
  • Assessments: Assess your understanding and progress through quizzes, assignments, and other assessments.
  • Resources: Access additional resources, such as readings, and external links, to enhance your learning experience.

Certification:

Upon successful completion of all course requirements, you will be awarded a Certificate of Completion. This certificate signifies your dedication to learning and mastery of the material covered in this course. It can be a valuable addition to your resume and professional portfolio, demonstrating your commitment to continuous learning and skill development.

The Certificate of Completion will include:

  • Your Name: Exactly as it appears in your enrollment details.
  • Course Title: Course Title as it appears on the certificate.
  • Instructor's Name: The name of the course instructor.
  • Date of Completion: The date you successfully completed the course.
  • Course Duration: The duration of the course in hours, days or weeks.

Please ensure that you fulfill all course requirements to be eligible for the certificate.

Course Highlights:

Comprehensive Curriculum: Our course covers a wide range of topics, ensuring a well-rounded learning experience.
Interactive Learning: Engage with interactive multimedia content, quizzes, and assignments that reinforce your understanding of key concepts.
Practical Applications: Apply what you learn to real-world scenarios through case studies, projects, and hands-on activities.
Flexible Schedule: Enjoy the flexibility to study anytime, anywhere, and at your own pace, allowing you to balance your learning with your other commitments.

Get Started:
We encourage you to dive into the course materials, explore the various modules, and engage with the content at your own pace. Whether you're a beginner or an experienced learner, there's something here for everyone.

Enroll Today and Start Your Journey to Data Mastery!

 

Don't miss this opportunity to take your data analysis skills to the next level. Enroll now and embark on a transformative learning journey with our Power BI Course!

We're Here to Help:
If you have any questions or need assistance along the way, our support team is here to help. Don't hesitate to reach out if you need clarification, guidance, or technical support.

Happy Learning!

[Read Rife - Online Course Team]

[Our Supporting Team]


 

Power BI Course Syllabus

Chapter 1: Introduction to Power BI

1.1 Overview of Power BI

  • Introduction to business intelligence and data visualization
  • Understanding Power BI components: Power BI Desktop, Power BI Service, Power BI Mobile
  • Key features and capabilities of Power BI

1.2 Installation and Setup

  • System requirements for installing Power BI Desktop
  • Step-by-step guide to installing Power BI Desktop
  • Introduction to Power BI Service and signing up for an account
  • Navigating the Power BI Service dashboard

Chapter 2: Getting Started with Data in Power BI

2.1 Connecting to Data Sources

  • Overview of supported data sources in Power BI
  • Connecting to Excel workbooks, CSV files, databases, and cloud services
  • Importing data from various sources into Power BI Desktop

2.2 Power Query Editor

  • Understanding the Power Query Editor interface
  • Data transformation and cleaning techniques
  • Merging and appending queries for data consolidation

2.3 Data Preparation Best Practices

  • Techniques for handling missing data and data errors
  • Data shaping and structuring for optimal analysis
  • Introduction to data profiling and data quality assessment 

Chapter 3: Data Modeling in Power BI 

3.1 Understanding Data Modeling

  • Overview of data modeling and its significance in Power BI.
  • Key concepts such as tables, relationships, and measures.
  • Importance of establishing relationships between tables for effective analysis.

3.2 Data Preparation for Modeling

  • Preparing data sources for modeling.
  • Techniques for cleaning, transforming, and shaping data for optimal modeling.
  • Addressing common data quality issues and ensuring data integrity.

3.3 Creating Relationships between Tables

  • Understanding different types of relationships: one-to-one, one-to-many, and many-to-many.
  • Establishing relationships between tables using primary and foreign keys.
  • Handling relationship ambiguity and resolving conflicts.

3.4 Data Modeling Best Practices

  • Best practices for designing efficient and scalable data models.
  • Optimizing model performance and minimizing data redundancy.
  • Strategies for managing large datasets and improving query performance.

3.5 Implementing Calculated Columns and Measures

  • Introduction to calculated columns and measures
  • Creating calculated columns using DAX (Data Analysis Expressions)
  • Writing DAX measures for aggregations, calculations, and KPIs

3.6 Advanced Data Modeling Techniques

  • Advanced data modeling concepts such as role-playing dimensions, parent-child hierarchies, and many-to-many relationships
  • Leveraging Power BI features like bidirectional filtering and cross-filtering
  • Implementing complex calculations and business logic using DAX functions

 

Chapter 4: Creating Visualizations

4.1 Overview of Power BI Visualizations

  • Introduction to Power BI visualizations gallery
  • Types of visualizations: charts, graphs, maps, tables, matrices, cards
  • Choosing the right visualization for your data

4.2 Designing Interactive Reports

  • Creating basic and advanced visuals in Power BI Desktop
  • Adding interactivity with slicers, filters, and drill-throughs
  • Formatting and customizing visuals for enhanced presentation

4.3 Building Dashboards

  • Designing interactive dashboards in Power BI Service
  • Organizing and arranging tiles for optimal dashboard layout
  • Configuring dashboard settings and navigation options

 

Chapter 5: Advanced Data Analysis Techniques

5.1 Advanced DAX Functions

  • Understanding context and context transition in DAX
  • Implementing advanced DAX functions: CALCULATE, FILTER, ALL, RELATED, etc.
  • Applying DAX functions to solve complex data analysis problems

5.2 Time Intelligence Calculations

  • Introduction to time intelligence functions in DAX
  • Creating date tables and managing date hierarchies
  • Implementing common time intelligence calculations: YTD, MTD, QTD, etc.

5.3 Statistical Analysis and Forecasting

  • Overview of statistical functions in Power BI
  • Conducting basic statistical analysis: mean, median, standard deviation, etc.
  • Introduction to forecasting techniques and predictive analytics in Power BI

 

Chapter 6: Sharing and Collaboration

6.1 Publishing Reports to Power BI Service

  • Uploading Power BI Desktop files to Power BI Service
  • Configuring datasets, reports, and dashboards for publishing
  • Managing access permissions and sharing options in Power BI Service

6.2 Collaboration Features in Power BI

  • Collaborating with colleagues through comments and annotations
  • Co-authoring reports and dashboards in real-time
  • Integrating Power BI with Microsoft Teams and other collaboration tools

 

Chapter 7: Power BI Mobile App and Personalization

7.1 Exploring the Power BI Mobile App

  • Overview of Power BI mobile app features and capabilities
  • Installing and configuring the Power BI mobile app on various devices
  • Accessing and interacting with reports and dashboards on mobile devices

7.2 Personalizing Dashboards and Reports for Mobile Consumption

  • Designing responsive dashboards and reports for mobile viewing
  • Optimizing visuals and layouts for small screens
  • Configuring mobile-specific settings and navigation options

Chapter 8: Advanced Topics and Best Practices

8.1 Performance Optimization Techniques

  • Strategies for optimizing report performance in Power BI Desktop and Service
  • Managing data refresh schedules and query performance
  • Best practices for designing efficient data models and visuals

8.2 Custom Visuals and Extensions

  • Exploring custom visuals marketplace in Power BI
  • Installing and using custom visuals in Power BI Desktop
  • Creating custom visuals and extensions using Power BI Developer Tools

8.3 Power BI Governance and Security

  • Implementing security measures to protect sensitive data in Power BI
  • Managing access rights and permissions at the workspace and dataset levels
  • Enforcing governance policies and compliance standards within Power BI environment

 

Chapter 9: Real-World Projects and Case Studies

9.1 Applying Power BI Skills to Real-World Projects

  • Hands-on projects demonstrating practical applications of Power BI
  • Analyzing real-world datasets and deriving actionable insights
  • Solving business challenges and making data-driven decisions using Power BI

9.2 Case Studies and Best Practices

  • Examining case studies of successful Power BI implementations
  • Learning from best practices and success stories in the industry
  • Identifying common pitfalls and challenges in Power BI projects and how to overcome them

 

Chapter 10: Capstone Project Details: Power BI Dashboard Creation

10.1 Designing Project Requirements

  • Define the objectives and scope of the project.
  • Identify key stakeholders and gather user requirements.
  • Plan the layout and structure of the Power BI dashboard.

10.2 Data Preparation and Modeling

  • Collect and prepare data sources for the dashboard.
  • Create a data model to support the dashboard requirements.
  • Implement calculations and measures to analyze the data effectively.

10.3 Dashboard Design and Development

  • Design visually appealing and interactive elements for the dashboard.
  • Incorporate slicers, filters, and drill-throughs for user interactivity.
  • Fine-tune the dashboard layout and aesthetics for an optimal user experience.

10.4 Testing and Iteration

  • Conduct usability testing and gather feedback from stakeholders.
  • Iterate on the dashboard design based on user input and testing results.
  • Ensure data accuracy, performance, and reliability of the dashboard before final deployment.

 


 


Enroll Now for Only: Rs.440/-  Rs.2199/-  80% OFF & Extra Discount on Promo Code "BHARAT"