logo
Courses
    logo
  • Courses
  • Corporate Training
  • Testimonials

Power BI Course: Basics to Advanced

25 Hours intensive Microsoft Power BI program

Globally recognised Microsoft PL-300 certification

Industry simulation using Automation Sandbox

Expert-led technical training curriculum with 8 modules

Flexible learning with easy monthly instalments

GoogleGoogle4.9/5
6682 EnrolledEnrolled Learners

Overview

What you will master with us:

  • Connect and transform data using Power Query techniques
  • Build scalable Power BI data models and optimise relationships for performance
  • Develop advanced DAX measures, KPIs, and calculations
  • Design interactive dashboards for executive and operational reporting
  • Deploy secure reports through Power BI Service environments
  • Explore Microsoft Fabric for modern analytics architecture
  • Apply AI-powered analytics and Copilot-driven reporting capabilities
  • Prepare for the Microsoft PL-300 certification with practical exercises

Upcoming sessions

Curriculum

1

Power BI Ecosystem

2

Data Import & Connectivity

3

Power Query

4

Data Transformation

5

Relationship Management

6

Data Modeling Basics

7

Star Schema Foundations

8

Analyze data quality and transformationopportunities

9

Generate reporting insights fromimported datasets

AI Integration

AI Integration

  • Participants use Copilot to generate performance management frameworks. txt
  • Example performance feedback templates.
  • Example performance feedback templates.
Activities/Case Study

Activities/Case Study

This case study focuses on understanding how Power BI and Copilot can be used in practical business scenarios. Participants will explore dashboard creation, AI-assisted reporting, and insight generation through hands-on exercises and real-world use cases.

1

Data Modeling Best Practices

2

Data Relationships

3

Star vs Snowflake Schema

4

Hierarchies

5

Measures vs Calculated Columns

6

DAX Fundamentals

7

CALCULATE

8

FILTER

9

ALL

10

RELATED

11

Variables

12

SWITCH

13

IF

14

Time Intelligence

15

YTD

16

QTD

17

Ranking Functions

18

KPI Calculations

19

Context Transition

20

Advanced DAX

21

Bookmarks

22

Performance Optimization

23

Query Tuning

24

Generate advanced DAX measures forbusiness reporting requirements

25

Optimize analytical models and KPIcalculations for enterprise reporting

AI Integration

AI Integration

  • Participants use Copilot to generate performance management frameworks. txt
Activities/Case Study

Activities/Case Study

This case study focuses on understanding how Power BI and Copilot can be used in practical business scenarios. Participants will explore dashboard creation, AI-assisted reporting, and insight generation through hands-on exercises and real-world use cases.

1

Dashboard Design Principles

2

Executive Reporting

3

KPI Storytelling

4

Custom Visuals

5

Drill Down Features

6

Drillthrough Features

7

Tooltips

8

Interactive Analytics

9

Mobile Dashboard Optimization

10

Smart Narratives

11

AI Visuals

12

Business Presentation Techniques

13

Generate executive dashboardnarratives aligned with stakeholderrequirements

14

Support business storytelling through AI-assisted insight generation

1

Power BI Service

2

Workspaces

3

Publishing Reports

4

App Publishing

5

Data Refresh

6

Scheduled Refresh

7

Gateway Configuration

8

Row-Level Security

9

Collaboration Features

10

Governance Basics

11

Deployment Pipelines

12

Usage Monitoring

13

Access Control

14

Compliance Practices

15

Monitor dashboard adoption andreporting performance trends

16

Support governance, security, anddeployment decisions across reporting environments

1

Microsoft Fabric Overview

2

OneLake Concepts

3

Lakehouse Architecture

4

Warehouse

5

Notebooks

6

Fabric Dataflows

7

Semantic Models

8

Real-Time Analytics

9

Fabric + Power BI Integration

10

Enterprise Analytics Architecture

11

Data Governance Fundamentals

12

Synapse Analytics

13

Data Factory

14

Data Lake

15

Fabric Pipelines

16

Azure Analytics Ecosystem

17

Snowflake Overview

18

Databricks Overview

19

Big Query Overview

20

dbt Awareness

21

Analyze enterprise data architecturerequirements for reporting ecosystems

22

Support modern analytics platformdesign and governance initiatives

1

Natural Language Insights

2

Natural Language Queries

3

Q&A Visual Integration

4

Automated Report Generation

5

AI-Powered Exploration

6

Scenario-Based Insights

7

Predictive Recommendations

8

AI-Assisted Reporting

9

Automated Narratives

10

Decision Intelligence Support

11

Generate business insights using AI-powered analytical workflows

12

Evaluate AI-generated recommendationsfor reporting and decision support

1

Key Influencers

2

Decomposition Tree

3

Smart Narrative

4

Clustering Analysis

5

Forecasting Models

6

Trend Analysis

7

Correlation Analysis

8

Anomaly Detection

9

Interactive Q&A Analytics

10

Predictive Analysis Validation

11

AI-Powered Insights

12

Analyze forecasting outcomes andanomaly patterns impacting business performance

13

Support predictive analytics andadvanced insight generation initiatives

1

Prepare Data

2

Model Data

3

Visualize Data

4

Analyze Data

5

Deploy and Maintain Assets

6

Certification Examination Domains

7

Hands-On Labs

8

Certification Mock Review

9

Exam Strategy

10

Scenario-Based Questions

11

Performance Review

12

Evaluate reporting scenarios against PL-300 competency requirements

13

Support certification readiness throughstructured assessment practice

1

Participants will assume the role of Power BI Data Analysts responsible for delivering business-critical insights to executive stakeholders across finance, operations, sales, and strategic management functions.

2

Working within a realistic enterprise environment, participants will manage the complete analytics lifecycle including data acquisition, transformation, modeling, visualization, dashboard development, governance implementation, AI-powered insight generation, and business reporting.

3

Throughout the simulation, participants will address challenges such as inconsistent data quality, reporting bottlenecks, stakeholder demands, governance requirements, performance optimization concerns, and enterprise analytics scalability.

4

The simulation reinforces practical Power BI implementation, Microsoft Fabric integration, executive reporting capability, and enterprise business intelligence excellence.

1

Participants will operate within a technology-enabled analytics environment designed to simulate enterprise reporting workflows, dashboard automation processes, governance controls, anomaly detection systems, AI-powered insight generation, and business intelligence operations.

2

The environment reflects modern analytics ecosystems where automation, governance, and AI-powered decision support operate together.

3

The sandbox experience enables participants to evaluate how automated reporting, predictive analytics, Copilot-assisted insights, governance frameworks, and enterprise data platforms influence business performance and decision-making.

4

This strengthens operational analytics capability while improving reporting effectiveness, scalability, compliance, and enterprise intelligence maturity.

Meet your Trainer

Ashiq

Ashiq is an experienced corporate trainer with over a decade of experience specializing in Power BI, Advanced Excel, and Microsoft tools. He has trained more than 1,000 corporate professionals across diverse industries in the UAE, Qatar, KSA, and India.

At Learners Point Academy, Ashiq delivers expert training in Power BI and data analytics, helping organizations enhance productivity. His sessions are designed to equip professionals with practical skills in Microsoft tools and business intelligence.

Ashiq’s expertise extends to soft skills, including team building, corporate storytelling, and motivational training. This makes him a versatile trainer who addresses both technical and interpersonal development needs.

Core Competencies

  • Power BI and Data Analytics Training
  • Advanced Excel and Financial Modelling
  • Microsoft 365 Management and Integration
  • Team Building and Corporate Storytelling
  • Presentation and Communication Skills
  • Goal Setting and Motivational Training

Professional Qualifications

  • Microsoft Certified Specialist
  • Train the Trainer Certification
  • Professional Soft Skills Training Certification
  • MBA in HR and Marketing – Anna University
  • BSc in Biochemistry

Professional Experience

  • Corporate Trainer, Regency Group for Corporate Management (UAE & Qatar)
  • Training Supervisor, Sendan International Company (KSA)
  • Senior Trainer, Victoria Management Training LLC (UAE)
  • Chief Trainer and Operations Manager, I-Star Skill Development Pvt Ltd (India)

Key Achievements

  • Best Soft Skills & Advanced Excel Trainer Award (2021) – National Institute of Skills Training
  • Student Quality Advisor Award – Abu Dhabi University

Meet your Trainer

Our Expert Instructors

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable.  Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.

Our Expert Instructors

Learning Outcomes

After the course concludes, you will be able to:

  • 1

    Create enterprise-ready dashboards that support strategic business decisions

  • 2

    Apply advanced DAX techniques to solve complex reporting challenges

  • 3

    Analyse business performance using forecasting and predictive analytics tools

  • 4

    Implement governance, security, and compliance controls for reporting environments

  • 5

    Leverage Microsoft Fabric to support modern analytics initiatives

  • 6

    Demonstrate PL-300 exam readiness through practical analytics proficiency

  • objective-image

    Ready to get started?

  • KHDA Certificate

    Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

    Certifcate-Image0

    Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

    Certifcate-Image1

    Overall ratings by our students

    Related courses

    Frequently asked questions

    Participants will gain practical expertise in Microsoft Power BI, enabling them to transform raw data into meaningful business insights. This course develops skills in data preparation, Power Query, data modelling, DAX calculations, dashboard design, KPI reporting, and BI analytics. This helps professionals create impactful reports that support informed decision-making.

    Participants will also learn to work with Power BI Service, Microsoft Fabric, AI-powered analytics, and enterprise reporting environments. Through hands-on exercises and real-world scenarios, they will build the capability to manage reporting workflows, implement governance practices, apply forecasting techniques, and prepare for the Microsoft PL-300 exam.

    Yes, the course covers advanced DAX and data modelling techniques used in professional BI environments. Participants learn to create sophisticated calculations using functions such as CALCULATE, FILTER, ALL, RELATED, SWITCH, and time intelligence functions. This enables deeper analysis and more accurate reporting.

    This program also explores relationship management, star schema modelling, semantic models, KPI development, context transition, and performance optimisation. Through practical exercises and reporting scenarios, participants gain the skills needed to build scalable Power BI data models that support complex analytics, executive dashboards, and enterprise-level decision-making.

    Microsoft Fabric is introduced as a key component of the modern analytics ecosystem within this Power BI training. Participants explore how OneLake, Lakehouse architecture, semantic models, dataflows, and real-time analytics work together to support efficient data management, reporting, and BI initiatives.

    By understanding the connection between Microsoft Fabric and Power BI, participants gain broader analytics capabilities beyond dashboard creation. This course provides practical exposure to modern data platforms. This helps professionals work with integrated analytics environments and streamline reporting workflows across enterprise operations.

    Yes, the course includes dedicated coverage of AI-powered analytics in Power BI, helping participants use advanced features to uncover deeper business insights. Participants learn how Copilot in Power BI, natural language queries, and AI-assisted reporting can simplify data analysis and enhance the reporting process.

    This training also introduces capabilities such as automated narratives, predictive recommendations, forecasting, anomaly detection, and advanced analytical techniques. Participants learn how to apply these tools to identify trends and improve reporting accuracy.

    Yes, this course includes a dedicated learning pathway aligned with the Microsoft PL-300 Power BI Data Analyst Certification. Participants develop the practical skills assessed in the certification, including data preparation, data modelling, DAX calculations, data visualisation, dashboard creation, and report management using Microsoft Power BI.

    To strengthen certification readiness, this program incorporates hands-on labs, dashboard simulations, assessment activities, mock examinations, and exam-focused review sessions. This structured approach helps participants apply their knowledge in realistic business scenarios.

    Participants gain experience through practical projects that reflect real business intelligence and reporting requirements. These activities reinforce Power BI, DAX, Microsoft Fabric, and analytics concepts.

    The practical exercises included are:

    1. Building executive dashboards and interactive business performance reports
    2. Developing data models and KPI-driven analytics solutions using DAX
    3. Importing and transforming ERP and business datasets with Power Query
    4. Applying forecasting, trend analysis, and anomaly detection techniques
    5. Simulating enterprise report publishing, governance, and deployment workflows
    6. Completing PL-300-focused dashboard projects, assessments, and mock examinations

    Participants seeking practical BI expertise benefit from Learners Point’s training approach that combines hands-on application with industry-relevant analytics concepts. Here are the reasons why you should choose Learners Point:

    • Gain practical experience through hands-on dashboard projects and reporting exercises
    • Learn advanced Power BI, DAX, and data modelling techniques aligned with industry needs
    • Explore Microsoft Fabric, AI-powered analytics, and modern business intelligence practices
    • Build enterprise-ready reporting skills through real-world business scenarios
    • Prepare for the Microsoft PL-300 Power BI Data Analyst certification with focused practice
    • Develop analytics capabilities that support data-driven decisions across organisations

    Crafting interactive dashboards with Power BI involves several design tips to significantly enhance user experience, and data comprehension, and facilitate informed decision-making. Some of the design tips to create interactive dashboards with Power BI are listed below:

    1. Define Clear Objectives
    2. Keep it Simple
    3. Utilise Visual Hierarchy and many other tips

    Some of the key features & components of Microsoft Power BI are listed below:

    • Data Connectivity
    • Data Modeling and Transformation
    • Interactive Visualizations etc

    Professionals can harness the full potential of Power BI and make informed decisions based on consolidated and structured data sources. Some of the steps involved in integrating data sources with Power BI are as follows:

    • Identify Data Sources
    • Establish Connectivity
    • Transform and Cleanse Data

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
    • Anything else that you want to know, we are here for you!

    Let's chat!

    • Afghanistan+93
    • Albania+355
    • Algeria+213
    • Andorra+376
    • Angola+244
    • Antigua and Barbuda+1268
    • Argentina+54
    • Armenia+374
    • Aruba+297
    • Australia+61
    • Austria+43
    • Azerbaijan+994
    • Bahamas+1242
    • Bahrain+973
    • Bangladesh+880
    • Barbados+1246
    • Belarus+375
    • Belgium+32
    • Belize+501
    • Benin+229
    • Bhutan+975
    • Bolivia+591
    • Bosnia and Herzegovina+387
    • Botswana+267
    • Brazil+55
    • British Indian Ocean Territory+246
    • Brunei+673
    • Bulgaria+359
    • Burkina Faso+226
    • Burundi+257
    • Cambodia+855
    • Cameroon+237
    • Canada+1
    • Cape Verde+238
    • Caribbean Netherlands+599
    • Cayman Islands+1
    • Central African Republic+236
    • Chad+235
    • Chile+56
    • China+86
    • Colombia+57
    • Comoros+269
    • Congo+243
    • Congo+242
    • Costa Rica+506
    • Côte d'Ivoire+225
    • Croatia+385
    • Cuba+53
    • Curaçao+599
    • Cyprus+357
    • Czech Republic+420
    • Denmark+45
    • Djibouti+253
    • Dominica+1767
    • Dominican Republic+1
    • Ecuador+593
    • Egypt+20
    • El Salvador+503
    • Equatorial Guinea+240
    • Eritrea+291
    • Estonia+372
    • Ethiopia+251
    • Fiji+679
    • Finland+358
    • France+33
    • French Guiana+594
    • French Polynesia+689
    • Gabon+241
    • Gambia+220
    • Georgia+995
    • Germany+49
    • Ghana+233
    • Greece+30
    • Greenland+299
    • Grenada+1473
    • Guadeloupe+590
    • Guam+1671
    • Guatemala+502
    • Guinea+224
    • Guinea-Bissau+245
    • Guyana+592
    • Haiti+509
    • Honduras+504
    • Hong Kong+852
    • Hungary+36
    • Iceland+354
    • India+91
    • Indonesia+62
    • Iran+98
    • Iraq+964
    • Ireland+353
    • Israel+972
    • Italy+39
    • Jamaica+1876
    • Japan+81
    • Jordan+962
    • Kazakhstan+7
    • Kenya+254
    • Kiribati+686
    • Kosovo+383
    • Kuwait+965
    • Kyrgyzstan+996
    • Laos+856
    • Latvia+371
    • Lebanon+961
    • Lesotho+266
    • Liberia+231
    • Libya+218
    • Liechtenstein+423
    • Lithuania+370
    • Luxembourg+352
    • Macau+853
    • Macedonia+389
    • Madagascar+261
    • Malawi+265
    • Malaysia+60
    • Maldives+960
    • Mali+223
    • Malta+356
    • Marshall Islands+692
    • Martinique+596
    • Mauritania+222
    • Mauritius+230
    • Mexico+52
    • Micronesia+691
    • Moldova+373
    • Monaco+377
    • Mongolia+976
    • Montenegro+382
    • Morocco+212
    • Mozambique+258
    • Myanmar+95
    • Namibia+264
    • Nauru+674
    • Nepal+977
    • Netherlands+31
    • New Caledonia+687
    • New Zealand+64
    • Nicaragua+505
    • Niger+227
    • Nigeria+234
    • North Korea+850
    • Norway+47
    • Oman+968
    • Pakistan+92
    • Palau+680
    • Palestine+970
    • Panama+507
    • Papua New Guinea+675
    • Paraguay+595
    • Peru+51
    • Philippines+63
    • Poland+48
    • Portugal+351
    • Puerto Rico+1
    • Qatar+974
    • Réunion+262
    • Romania+40
    • Russia+7
    • Rwanda+250
    • Saint Kitts and Nevis+1869
    • Saint Lucia+1758
    • Saint Vincent and the Grenadines+1784
    • Samoa+685
    • San Marino+378
    • São Tomé and Príncipe+239
    • Saudi Arabia+966
    • Senegal+221
    • Serbia+381
    • Seychelles+248
    • Sierra Leone+232
    • Singapore+65
    • Slovakia+421
    • Slovenia+386
    • Solomon Islands+677
    • Somalia+252
    • South Africa+27
    • South Korea+82
    • South Sudan+211
    • Spain+34
    • Sri Lanka+94
    • Sudan+249
    • Suriname+597
    • Swaziland+268
    • Sweden+46
    • Switzerland+41
    • Syria+963
    • Taiwan+886
    • Tajikistan+992
    • Tanzania+255
    • Thailand+66
    • Timor-Leste+670
    • Togo+228
    • Tonga+676
    • Trinidad and Tobago+1868
    • Tunisia+216
    • Turkey+90
    • Turkmenistan+993
    • Tuvalu+688
    • Uganda+256
    • Ukraine+380
    • United Arab Emirates+971
    • United Kingdom+44
    • United States+1
    • Uruguay+598
    • Uzbekistan+998
    • Vanuatu+678
    • Vatican City+39
    • Venezuela+58
    • Vietnam+84
    • Yemen+967
    • Zambia+260
    • Zimbabwe+263

    Learn now, pay later

    Dive into your course now and pay in installments

    Tamara
    ADCB