Course OverviewSyllabus

Course Overview

Microsoft offers a set of tools for business analytics called Power BI. It enables you to integrate insights from data analysis into your app or website, or distribute them throughout your company. Our Power BI Training course is designed to help you understand and implement various BI tools and applications. We provide a hands-on approach to the training, focusing on creating interactive dashboards for data analysis and extracting business insights from multiple unrelated sources.


In the era of digitalization, data is the new oil. It holds immense power and potential, driving business decisions worldwide. With the ability to manipulate and configure data, one can unlock a world of insight. In this context, Power BI training is becoming increasingly crucial in the contemporary market. This article is tailored for those seeking high-level Power BI training in Nepal, specifically at the Mindrisers Institute of Technology.


Mindrisers Institute of Technology, a prominent IT institute located in Putalisadak, Kathmandu, offers a diverse range of IT training courses. Among them, our Power BI training course stands out for its comprehensive content, practicality, and relevance in the current job market. As a certified training institution, our mission is to equip students with the skills they need to excel in their chosen fields.


Objective of Power BI Training Course


The primary objective of our Power BI training course is to provide students with a comprehensive understanding of Power BI's functionalities and applications. We aim to equip students with the skills to extract, manipulate, and analyze data efficiently, allowing them to make data-driven decisions that can significantly impact their organization's performance.


Scope of Power BI Training in Nepal


In today's data-driven world, the demand for skilled Power BI professionals is skyrocketing. This demand is not limited to multinational corporations but is equally relevant in the Nepalese market. With Power BI training, you can pursue a career as a Data Analyst, Business Intelligence Developer, or Software Engineer, among others. Additionally, Power BI certification can significantly enhance your career prospects and long-term growth.


Who can join Power BI course?


Our Power BI course is designed for individuals who want to master the art of data visualization and analysis. Whether you are a student, a working professional, or a business owner looking to harness the power of data, this course is perfect for you. However, some experience in using Microsoft Office, particularly Excel, would be beneficial.


Why Mind Risers for Power BI Training in Nepal?


Mind Risers stands out as a leading institute for Power BI training in Nepal for several reasons:


  • Experienced Instructors: We boast a team of highly experienced Power BI field-experts who provide practical knowledge and share real-world experiences.
  • Comprehensive Course Content: Our course content is meticulously designed to cover all aspects of Power BI, from basic to advanced concepts.
  • Internship and Job Placement Opportunities: We offer internship and job placement opportunities at various organizations, allowing students to get hands-on experience and jump-start their careers.
  • Affordable Training Cost: Our training course is competitively priced, providing value for money.


Syllabus Highlights


The syllabus for the course encompasses various modules aimed at equipping students with essential skills in SQL, business intelligence, and data analysis using Microsoft Power BI.


In the initial module, which spans 20 hours, students will delve into the fundamentals of SQL, covering aspects such as database overview, designing databases, data types, table creation, data manipulation language (DML) operations, data integrity, indexing, and querying techniques. Additionally, fundamental concepts of business intelligence, including information warehousing, ETL procedures, analysis, and documentation, will be explored.


Moving forward, the course shifts its focus to data analysis with Microsoft Power BI, spanning 45 hours. Students will learn to extract and connect to data sources, clean and import data, create data models, and implement DAX calculations for model enhancements. They will also gain insights into optimizing model performance and creating visually appealing reports using various visualization techniques, themes, and conditional formatting. Moreover, the course emphasizes enhancing report narrative and usability through bookmarks, tooltips, navigation setup, sorting, sync slicers, and interactive graphics.


Furthermore, students will be trained in establishing and managing workspaces, assigning roles, publishing assets, creating dashboards, configuring data alerts, and controlling dataset access. They will learn to schedule dataset refreshes, set up row-level security, and grant dataset access as per organizational requirements.


This comprehensive course offers a well-rounded education in SQL, business intelligence, and data analysis with Microsoft Power BI, providing students with the necessary skills to excel in data-driven decision-making roles. Ready to embark on your journey to becoming a proficient data analyst? Enroll now and unlock the power of data-driven insights for your organization's success.


In conclusion, our Power BI training course at Mindrisers Institute of Technology is a holistic program designed to provide you with the skills and knowledge required to excel in the field of data analytics. With our experienced instructors, comprehensive course content, and practical approach, you will be well-equipped to take on any challenges in the world of data analytics. So, take the first step towards a promising career by enrolling in our Power BI training course today. Please get in contact us if you would like more details.


Don't allow the power of data escape your grasp. Get certified with Power BI training, and create a future filled with endless possibilities!


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  • Fundamental to SQL

    • Overview of the Database
    • Process of Designing Databases
    • Setting up data files and logs for SQL Server.
    • Types of Data
    • Making Tables
    • Using and Changing Tables and Databases (DML)
    • Putting Data Integrity in Place
    • Index creation
    • Getting to and Changing Data
    • Sub and Join Inquiries
    • Applying Opinions

  • Fundamental business intelligence

    • Concepts of business intelligence
    • Information warehousing
    • Fundamental ETL Procedures
    • Analysis
    • Documentation

  • Data Analyst for Microsoft Power BI

    • Obtain information from data sources.
    • Locate a data source, then connect to it.
    • Modify data source settings, such as locations, credentials, and privacy settings
    • Choose a shared dataset or make one locally.
    • Select the Dual, Import, and DirectQuery modes.
    • Modify the parameter's value

  • Make the data clean.

    • Assess data, taking into account column properties and data statistics.
    • Address problems with data quality, unexpected or null values, and inconsistencies.
    • Fix issues with data import.

  • Modify and import the data

    • Choose the right column data types.
    • Construct and modify columns
    • Convert an inquiry
    • Create a star schema with dimensions and facts.
    • Determine the impact of using reference or duplicate queries and when to use them.
    • Combine and add queries.
    • Determine and make the right relationship keys.
    • Set up data loading for inquiries.

  • Create and put into action a data model.

    • Modify column and table properties.
    • Add elements of role-playing
    • Identify the cardinality and cross-filter direction of a relationship.
    • Establish a shared date table.
    • Establish row-level security positions.

  • Use DAX to create model calculations.

    • Develop a single measure of aggregation.
    • To manipulate filters, use CALCULATE.
    • Put time intelligence measures in place
    • Determine which measures are implicit and replace them with explicit ones.
    • Apply fundamental statistical functions
    • Develop semi-additive metrics
    • Use quick measures to create a measure.
    • Make computed tables.

  • Enhance the performance of the model.

    • Optimize efficiency by determining and eliminating superfluous rows and columns.
    • Use Performance Analyzer to find measures, relationships, and visuals that are not performing well.
    • Enhance efficiency by selecting the best kinds of data.
    • Enhance performance through data summarization

  • Make reports.

    • Choose and use the right visualizations
    • Prepare and set up visual aids
    • Make use of a unique image
    • Install and alter a theme
    • Put conditional formatting into place.
    • Use filtering and slicing.
    • Assemble the report page.
    • Make use of Excel's analyze function.
    • Decide when a paginated report should be used.

  • Improve the narrative and usability of reports.

    • Set up bookmarks.
    • Make unique tooltips
    • Modify and set up how images interact with one another
    • Configure the report's navigation.
    • Use sorting
    • Set up sync slicers.
    • Organize and arrange images using the Selection pane.
    • Investigate data in-depth with interactive graphics
    • Set up the report content export and carry out the export
    • Create reports with mobile devices in mind.
    • Include a Q&A section in a report.

  • Establish and oversee workspaces and resources.

    • Establish and set up a workspace.
    • Assign roles to the workspace
    • Set up and maintain a workspace application.
    • In a workspace, publish, import, or update assets
    • Make dashboards
    • Select a mode of distribution.
    • Label sensitive content in the workspace
    • Configure data alerts and subscriptions.
    • Encourage or accredit Power BI content.
    • Control file global options

  • Control datasets

    • Determine when a gateway is necessary.
    • Establish a scheduled refresh for the dataset.
    • Set up membership in security groups at the row level.
    • Grant dataset access.

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