Our Courses

Our business intelligence training course is meticulously crafted to propel your career to new heights of achievement and advancement.

Master Microsoft Power BI

Becoming proficient in Power BI opens doors to diverse opportunities in data analytics, business intelligence, and decision-making across industries, given its high demand in the job market. Our course is designed to empower participants with mastery of Power BI, enabling them to make data-driven decisions.

Data Analytics with Tableau

Mastering Tableau enables you to craft engaging data visualizations and extract valuable insights from comples datasets. Our course is designed to ensure participants achieve proficiency in Tableau, harnessing its power to uncover data-driven insights effectively.

SQL Training

In the digital era, data fuels innovation, and SQL is its key enabler. As the demand for data manipulation and analysis rises, SQL remains essential for extracting actionable insights, and our course covers SQL comprehensively from basics to advanced techniques.

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Learn Microsoft Excel

Excel goes beyond its traditional role as a spreadsheet tool; it stands as a business powerhouse. As data-driven decisions grow in importance, mastering Excel's data analysis capabilities becomes essential. Arm yourself with the expertise needed to harness Excel's immense potential to the fullest.

Data Analyst Training

Tailored to aspiring data analysts, this course is crafted to foster mastery in essential tools, providing a personalized curriculum aligned with your preferences. It includes three skills of your selection, alongside an in-depth real-world project covering data capture to visualization and analysis. Elevate your career to its peak potential through this transformative learning experience.

Data Analytics with Python

In today's world, data holds immense value, and Python has become the universal language for data analytics. Whether you're a beginner or seeking to advance your skills, this course is designed to teach the fundamentals of data analytics with Python, a highly adaptable and extensively employed language globally.

Master Power BI and Earn Microsoft Certificate!!

Developing proficiency in Power BI unlocks a myriad of opportunities in data analytics, business intelligence, and decision-making across various industries, owing to its prevalent demand in today's job market. Our comprehensive course is meticulously crafted to empower participants with mastery of Power BI, equipping them with the skills needed to confidently navigate data landscapes and make informed, data-driven decisions that drive success in their respective fields.


PL-300: Microsoft Certified: Power BI Data Analyst Associate

Skills at a glance

  • Prepare the data (25–30%)

  • Model the data (25–30%)

  • Visualize and analyze the data (25–30%)

  • Deploy and maintain items (15–20%)

    Prepare the data (25–30%)

    Get data from data sources

  • Identify and connect to a data source

  • Change data source settings, including credentials, privacy levels, and data source locations

  • Select a shared semantic model, or create a local data model

  • Choose between Direct Query, Import, and Dual mode

  • Change the value in a parameter

    Clean the data

  • Evaluate data, including data statistics and column properties

  • Resolve inconsistencies, unexpected or null values, and data quality issues

  • Resolve data import errors

    Transform and load the data

  • Select appropriate column data types

  • Create and transform columns

  • Transform a query

  • Design a star schema that contains facts and dimensions

  • Identify when to use reference or duplicate queries and the resulting impact

  • Merge and append queries

  • Identify and create appropriate keys for relationships

  • Configure data loading for queries

Model the data (25–30%)

Design and implement a data model

  • Configure table and column properties

  • Implement role-playing dimensions

  • Define a relationship's cardinality and cross-filter direction

  • Create a common date table

  • Implement row-level security roles

Create model calculations by using DAX

  • Create single aggregation measures

  • Use CALCULATE to manipulate filters

  • Implement time intelligence measures

  • Identify implicit measures and replace with explicit measures

  • Use basic statistical functions

  • Create semi-additive measures

  • Create a measure by using quick measures

  • Create calculated tables

Optimize model performance

  • Improve performance by identifying and removing unnecessary rows and columns

  • Identify poorly performing measures, relationships, and visuals by using Performance Analyzer

  • Improve performance by choosing optimal data types

  • Improve performance by summarizing data

Visualize and analyze the data (25–30%)

Create reports

  • Identify and implement appropriate visualizations

  • Format and configure visualizations

  • Use a custom visual

  • Apply and customize a theme

  • Configure conditional formatting

  • Apply slicing and filtering

  • Configure the report page

  • Use the Analyze in Excel feature

  • Choose when to use a paginated report

Enhance reports for usability and storytelling

  • Configure bookmarks

  • Create custom tooltips

  • Edit and configure interactions between visuals

  • Configure navigation for a report

  • Apply sorting

  • Configure sync slicers

  • Group and layer visuals by using the Selection pane

  • Drill down into data using interactive visuals

  • Configure export of report content, and perform an export

  • Design reports for mobile devices

  • Enable personalized visuals in a report

  • Design and configure Power BI reports for accessibility

Identify patterns and trends

  • Use the Analyze feature in Power BI

  • Use grouping, binning, and clustering

  • Incorporate the Q&A feature in a report

  • Use AI visuals

  • Use reference lines, error bars, and forecasting

  • Detect outliers and anomalies

  • Create and share scorecards and metric

Deploy and maintain items (15–20%)

Create and manage workspaces and items

  • Create and configure a workspace

  • Assign workspace roles

  • Configure and update a workspace app

  • Publish, import, or update items in a workspace

  • Create dashboards

  • Choose a distribution method

  • Apply sensitivity labels to workspace content

  • Configure subscriptions and data alerts

  • Promote or certify Power BI content

  • Manage global options for files

    Manage semantic models

  • Identify when a gateway is required

  • Configure a semantic model scheduled refresh

  • Configure row-level security group membership

  • Provide access to semantic models

  • Configure automatic page refresh