MS Power BI Course

Unlock the power of data visualization and business intelligence with our comprehensive MS Power BI course. Whether you're a data enthusiast looking to enhance your analytical skills or a business professional aiming to leverage data for strategic decision-making, our curriculum is tailored to meet your needs. Enroll in our Microsoft Power BI course today and unlock the full potential of your data.

|| What will I learn?

  • Students should learn how to create interactive and visually appealing reports and dashboards using Power BI's visualization tools.
  • The course may cover methods for sharing Power BI reports and dashboards with others within an organization or externally
  • The course should teach best practices for designing efficient data models and reports in Power BI to ensure optimal performance.
  • Learners may also be introduced to the Power BI service, which allows for cloud-based sharing, collaboration, and management of Power BI content.

|| What will I learn?

  • Students should learn how to create interactive and visually appealing reports and dashboards using Power BI's visualization tools.
  • The course may cover methods for sharing Power BI reports and dashboards with others within an organization or externally
  • The course should teach best practices for designing efficient data models and reports in Power BI to ensure optimal performance.
  • Learners may also be introduced to the Power BI service, which allows for cloud-based sharing, collaboration, and management of Power BI content.

|| Requirements

  • Students should have basic computer skills, including familiarity with operating systems (e.g., Windows), file management, and navigating software applications.
  • Some Power BI courses may have prerequisites, such as completion of a basic data analysis or Excel course, to ensure that students have the foundational knowledge needed to understand Power BI concepts.

|| Requirements

  • Students should have basic computer skills, including familiarity with operating systems (e.g., Windows), file management, and navigating software applications.
  • Some Power BI courses may have prerequisites, such as completion of a basic data analysis or Excel course, to ensure that students have the foundational knowledge needed to understand Power BI concepts.

    • Introduction to Power BI:
    • Overview of Power BI tools and their functionalities.
    • Understanding the Power BI ecosystem.
    • Getting Started:
    • Installing Power BI Desktop.
    • Navigating the Power BI interface.
    • Connecting to data sources.
    • Data Transformation:
    • Importing data into Power BI.
    • Cleaning and shaping data using Power Query Editor.
    • Data modeling basics.
    • Visualization Basics:
    • Creating basic visualizations (e.g., bar charts, line charts, pie charts).
    • Applying formatting and customization to visualizations.
    • Adding interactivity with slicers and filters.



    • Exercises:
    • Import Data:
    • Import a dataset from Excel, CSV, or a database.
    • Clean and transform the data using Power Query Editor.
    • Basic Visualizations:
    • Create a bar chart to visualize sales by product category.
    • Create a line chart to show trends in monthly sales.
    • Filters and Slicers:
    • Add slicers to filter data by region, product, or date.
    • Use filters to focus on specific time periods or product segments.



    • Advanced Data Modeling:-
    • Relationships in Power BI.
    • DAX (Data Analysis Expressions) fundamentals.
    • Calculated columns and measures.
    • Advanced Visualization Techniques:
    • Custom visuals.
    • Drill-through and drill-down.
    • Hierarchies and grouping.
    • Data Analysis:
    • Using DAX functions for advanced calculations.
    • Time intelligence functions.
    • Statistical analysis in Power BI.
    • Power BI Service:
    • Publishing reports and dashboards.
    • Sharing and collaboration.
    • Power BI mobile app.


    • Exercises:
    • Calculated Columns and Measures:
    • Create a calculated column to calculate profit margin.
    • Write a DAX measure to calculate year-over-year growth in sales.
    • Relationships and Hierarchies:
    • Define relationships between multiple tables.
    • Create hierarchical structures for date or product categories.


    • Advanced Visualizations:-
    • Design a custom visual using the custom visuals gallery.
    • Implement drill-through functionality to analyze data at a more granular level.
    • Advanced Data Preparation:
    • Dataflows in Power BI.
    • Advanced data transformation techniques.
    • Power BI Administration:
    • Security and permissions.
    • Managing datasets and workspaces.
    • Performance optimization.
    • Advanced Visualization Design:
    • Design principles for effective visualizations.
    • Interactive and responsive report design.



    • Exercises:
    • Advanced Data Modeling:
    • Implement role-playing dimensions for date tables.
    • Use bidirectional filtering in complex data models.
    • Time Intelligence:
    • Calculate moving averages and cumulative totals using DAX.
    • Implement time-based calculations for year-to-date sales, rolling averages, etc.
    • Power BI Service:
    • Publish a report to the Power BI Service.
    • Share the report with colleagues and set up row-level security.
    • Integrating R and Python scripts.
    • Machine learning in Power BI.

    • Introduction
    • Roles
    • Snowflake Pricing
    • Resource Monitor – Track Compute Consumption
    • Micro-Partitioning in Snowflake
    • Clustering in Snowflake
    • Query History & Caching
    • Load Data from AWS – CSV / JASON / PARQUET & Stages
    • Snow pipe – Continuous Data Ingestion Service
    • Different Type of Tables
    • Time Travel – Work with History of Objects & Fail Safe
    • Task in Snowflake – Scheduling Service


    • Snowflake Stream – Change Data Capture (CDC)
    • Zero-Copy Cloning
    • Snowflake SQL – DDL
    • Snowflake SQL – DML & DQL
    • Snowflake SQL – Sub Queries & Case Statement
    • Snowflake SQL – SET Operators
    • Snowflake SQL – Working with ROW NUMBER
    • Snowflake SQL – Functions & Transactions
    • Procedures
    • User defined function
    • Types of Views

    • Intro to Qlik View
    • Installation of Qlik view
    • Data Modelling in Qlik View
    • Circular reference
    • Link Tables to your model
    • Joins in Qlik view
    • ETL in Qlik View
    • Handling Null Values
    • Visualizations in Qlik View
    • Pivot Table in Qlik View
    • KPI Development in Qlik View


    • Set Analysis in Qlik View
    • Date functions
    • What If analysis
    • Calculated Dimensions
    • Conditional Objects
    • Securing your document and document tuning
    • Cross tables
    • Bookmarks
    • Chart-level and script-level functions
    • Security measures and access points in QlikView
    • Integrating visualizations with dashboards

Get in touch

placement report

|| Frequently asked question

Microsoft Power BI is a business analytics tool that enables users to visualize and analyze data from various sources, create interactive reports and dashboards, and share insights with stakeholders. It provides capabilities for data preparation, modeling, visualization, and collaboration.

This course is suitable for individuals interested in learning how to use Microsoft Power BI for data analysis and visualization. It caters to beginners with no prior experience in Power BI as well as professionals seeking to enhance their data analytics skills using this tool.

Prerequisites may include a basic understanding of data analysis concepts and familiarity with Microsoft Excel. However, many introductory courses assume no prior experience with Power BI or data analytics, making them suitable for beginners.

Most reputable Microsoft Power BI courses offer a certificate of completion, which can validate your skills and be added to your resume or LinkedIn profile. It's essential to verify the accreditation and recognition of the issuing institution or organization.

Some courses offer job placement assistance or career services, including resume building, interview preparation, and networking opportunities with industry professionals. However, this varies depending on the course provider and the course's focus.

Yes, many Microsoft Power BI courses are available online, offering flexibility in terms of timing and location. Online courses often provide video lectures, interactive exercises, and discussion forums to facilitate learning.

After completing the course, you may continue to have access to course materials, online resources, alumni networks, career services, and professional development opportunities to support your continued learning and career growth.

Related courses

Full Stack Analytics Course
Read more
Analytics using SAS Programming
Read more
Tableau Course
Read more
Big Data Analytics Course
Read more
Data Analytics Course
Read more
Business Analytics Course
Read more
HR Analytics Course
Read more
Finance Data Analytics Course
Read more
Banking Data Analytics Course
Read more
Health Care Analytics Course
Read more
Data analytics using R Course
Read more
× Popup Image

Useful links

Categories

IT Infrastructure

Development

Data Science

Work with us

Company

Copyright Baroda Institute of Technology© 2024 | Design and Developed By Bit infotech