logo
Courses
    logo
  • Courses
  • Corporate Training
  • Testimonials
KHDA

Data Analyst Course in Oman

12 immersive modules & professional capstone projects

Comprehensive Data Analytics & AI-Enhanced Reporting Program

85 hours of AI integration training

Copilot & Automation Sandbox for work efficiency

Flexible learning modes & easy payment options

GoogleGoogle4.85/5
5568 EnrolledEnrolled Learners
GoogleGoogle4.85/5
5568 EnrolledEnrolled Learners

Overview

What you will learn in this course:

  • Developing expertise in modern analytics, KPIs, and AI-driven decisions
  • Using advanced Excel formulas, PivotTables, Power Query, and dashboards
  • Querying and interpreting business data through advanced SQL techniques
  • Creating Power BI dashboards, data models, and DAX measures
  • Publishing secure enterprise dashboards via Power BI Service
  • Understanding Microsoft Fabric, OneLake, lakehouses, and modern ecosystems
  • Streamlining data cleaning, analysis, and reporting tasks with Python
  • Utilising statistics, forecasting, predictive modelling, and Generative AI

Upcoming sessions

Curriculum

1

Evolution of Data Analytics

2

Modern Analyst vs Traditional Analyst

3

AI-Powered Decision Intelligence

4

Data-Driven Business Culture

5

Understanding Business KPIs

6

Business Problem Solving Frameworks

7

Analytics Lifecycle

8

Introduction to AI in Analytics

9

Responsible AI Fundamentals

AI Integration

AI Integration

  • Analyze business KPIs and performance drivers
  • Generate AI-assisted business insights and decision support
Activities/Case Study

Activities/Case Study

  • Business Decision Simulation
1

Excel Interface & Modern Workflows

2

Data Cleaning Techniques

3

Data Validation

4

Advanced Formulas

5

XLOOKUP

6

INDEX-MATCH

7

IF Logic

8

PivotTables & PivotCharts

9

Power Query Basics

10

Dashboard Development

11

Business Reporting Automation

AI Integration

AI Integration

  • Generate formulas and reporting logic using AI
  • Automate spreadsheet analysis and dashboard insights
Activities/Case Study

Activities/Case Study

  • Sales KPI Tracker
1

SQL Fundamentals

2

Filtering & Sorting

3

Joins

4

Aggregations

5

Subqueries

6

Common Table Expressions (CTEs)

7

Window Functions

8

Query Optimization

9

Business Data Extraction

10

Reporting Logic

AI Integration

AI Integration

  • Convert business questions into SQL queries
  • Optimize SQL performance and debugging workflows
Activities/Case Study

Activities/Case Study

  • Sales Intelligence Reporting
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

AI Integration

AI Integration

  • Analyze data quality and transformation opportunities
  • Generate reporting insights from imported datasets
Activities/Case Study

Activities/Case Study

  • Data Cleaning Workflow
1

Data Modeling Best Practices

2

Star vs Snowflake Schema

3

Measures vs Calculated Columns

4

DAX Fundamentals

5

Time Intelligence

6

KPI Calculations

7

Context Transition

8

Advanced DAX

9

Performance Optimization

AI Integration

AI Integration

  • Generate DAX measures and calculations
  • Optimize data models and reporting performance
Activities/Case Study

Activities/Case Study

  • HR KPI Dashboard
1

Dashboard Design Principles

2

Executive Reporting

3

KPI Storytelling

4

Drillthrough Features

5

Interactive Analytics

6

Mobile Dashboard Optimization

7

Smart Narratives

8

AI Visuals

9

Business Presentation Techniques

AI Integration

AI Integration

  • Generate executive narratives from dashboards
  • Support storytelling and insight communication
Activities/Case Study

Activities/Case Study

  • Country-Level Performance Dashboard
1

Power BI Service

2

Workspaces

3

Publishing Reports

4

Data Refresh

5

Row-Level Security

6

Collaboration Features

7

Governance Basics

8

Deployment Pipelines

AI Integration

AI Integration

  • Monitor dashboard usage and performance
  • Support governance and deployment decisions
Activities/Case Study

Activities/Case Study

  • Secure Dashboard Sharing
1

Microsoft Fabric Overview

2

OneLake Concepts

3

Lakehouse Architecture

4

Fabric Dataflows

5

Semantic Models

6

Real-Time Analytics

7

Fabric + Power BI Integration

8

Enterprise Analytics Architecture

9

Data Governance Fundamentals

10

Azure Analytics Ecosystem

11

Snowflake Overview

12

Databricks Overview

13

BigQuery Overview

14

dbt Awareness

AI Integration

AI Integration

  • Analyze enterprise data architecture requirements
  • Support modern analytics platform design decisions
Activities/Case Study

Activities/Case Study

  • Enterprise Reporting Architecture Design
1

Prepare Data

2

Model Data

3

Visualize Data

4

Analyze Data

5

Deploy & Maintain Assets

AI Integration

AI Integration

  • Analyze certification readiness and knowledge gaps
  • Support DAX optimization and dashboard best practices
Activities/Case Study

Activities/Case Study

  • Enterprise Reporting Scenario
1

Python Fundamentals

2

Variables & Functions

3

Jupyter Notebooks

4

NumPy

5

Pandas

6

Data Wrangling

7

Data Cleaning

8

Exploratory Data Analysis (EDA)

9

Aggregation Techniques

10

Automation Scripts

11

Reporting Automation

AI Integration

AI Integration

  • Generate Python scripts and automation workflows
  • Support debugging and code optimization
Activities/Case Study

Activities/Case Study

  • Data Cleaning Pipeline
1

Descriptive Analytics

2

Diagnostic Analytics

3

Forecasting Concepts

4

Correlation Analysis

5

Business Statistics

6

Probability Concepts

7

Hypothesis Testing

8

A/B Testing

9

Predictive Analytics Foundations

AI Integration

AI Integration

  • Generate forecasts and predictive insights
  • Interpret statistical results and business outcomes
Activities/Case Study

Activities/Case Study

  • Customer Trend Analysis
1

Introduction to LLMs

2

Prompt Engineering for Analysts

3

AI Research Workflows

4

AI-Powered Reporting

5

AI Dashboard Narratives

6

Chat-with-Data Systems

7

AI Agents Basics

8

Workflow Automation

9

Responsible AI

10

AI Hallucination Validation

AI Integration

AI Integration

  • Build AI-powered reporting and analytics assistants
  • Automate insight generation and business intelligence workflows
Activities/Case Study

Activities/Case Study

  • AI Insight Generator
1

Participants assume the role of a business analytics team responsible for supporting executive leadership across Finance, Sales, HR, Operations, Procurement, and Customer Experience functions.

2

Working within a complex enterprise environment, teams are required to collect, clean, transform, model, analyze, visualize, automate, and communicate business data to support strategic decision-making.

3

Leveraging Power BI, Microsoft Fabric, SQL, Python, Predictive Analytics, and Generative AI technologies, participants develop integrated analytics solutions that provide meaningful business insights, executive reporting capabilities, and decision intelligence across multiple functional areas.

4

Throughout the simulation, participants define enterprise KPI frameworks, transform large-scale datasets, build analytical models, develop executive dashboards, perform predictive forecasting, and automate reporting processes.

5

The exercise replicates real-world analytics operations where business leaders depend on accurate insights, forecasting capability, and data-driven recommendations to improve organizational performance, operational efficiency, and long-term strategic planning.

1

Participants operate within an enterprise analytics automation environment where organizations seek to reduce manual reporting effort, improve analytical efficiency, and accelerate decision-making through intelligent automation.

2

Using Python, SQL, Power BI, Microsoft Fabric, and Generative AI technologies, participants design and implement automated workflows capable of collecting, transforming, analyzing, and presenting business data while supporting real-time reporting, forecasting, and executive intelligence requirements.

3

The sandbox environment focuses on building scalable analytics automation ecosystems that integrate AI-assisted insight generation, predictive analytics models, automated dashboard refresh processes, KPI monitoring systems, and intelligent reporting assistants.

4

Participants develop practical experience in creating end-to-end automation solutions that improve reporting accuracy, enhance business visibility, streamline analytical operations, and support enterprise-wide decision intelligence initiatives.

Meet your Trainer

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Our Trainers

Learning Outcomes

After completing this program, participants will be able to:

  • 1

    Convert raw business data into clear, actionable insights

  • 2

    Build executive reports that highlight performance trends and recommendations

  • 3

    Assess data quality and improve the efficiency of analytical workflows

  • 4

    Streamline recurring reporting tasks to enable faster business decisions

  • 5

    Interpret statistical results and use forecasting techniques to assess future business performance

  • 6

    Enable enterprise decisions through responsible, AI-driven analytics solutions

  • 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

    The Data Analyst Course in Oman teaches participants to use Excel, SQL, Power BI, DAX, and Python to address practical business analytics requirements. Participants learn to clean messy datasets, build KPI-driven dashboards, and apply statistical methods to explain what the numbers actually mean for businesses.

    Beyond technical tools, this course builds judgment skills such as reading business context, choosing the right analysis method, and presenting findings clearly to decision-makers. Participants also work with Generative AI for reporting support, reflecting how modern analytics teams actually operate in Oman.

    Yes. The Data Analyst Training in Oman includes a dedicated Microsoft PL-300 Certification Alignment Track. It is designed to help participants build practical knowledge aligned with the certification’s core areas, including preparing, modelling, visualizing, analysing, deploying, and maintaining data assets.

    Participants reinforce this preparation through a PL-300 dashboard lab, an enterprise reporting case study, and a mock certification-readiness assessment. This course also develops supporting capability in Power Query, DAX, data modelling, dashboard design, performance optimisation, and Power BI best practices.

    This course builds hands-on skills across the core tools used in modern analytics roles, moving from spreadsheet basics through to enterprise reporting platforms.

    Key tools and software covered include:

    • Excel for data cleaning, PivotTables, and automated reporting
    • SQL for querying, joins, and business data extraction
    • Power BI for dashboard design and enterprise reporting
    • DAX for measures, calculations, and data modelling
    • Python for data wrangling and workflow automation
    • Microsoft Fabric for understanding modern enterprise analytics architecture

    Yes, data analytics skills are in demand in Oman, particularly as organizations expand digital transformation and data-driven decision-making. According to current Indeed listings, data-related opportunities in Muscat and across Oman include operational, financial, engineering, and reporting roles that can require KPI, Excel, Power BI, analytical, and communication skills.

    Demand also extends across finance, healthcare, telecommunications, HR analytics, and other sectors. Participants who develop practical skills in SQL, Power BI, Python, statistics, dashboards, automation, and AI-powered reporting can better align their capabilities with Oman’s evolving analytics requirements.

    No, a technical background is not required to enrol in the Data Analytics Course in Oman. The course does not require prior coding experience or an IT degree, allowing professionals from different backgrounds to enrol.

    This course introduces participants to analytics progressively through Excel, SQL, Power BI, Python, statistics, Microsoft Fabric, and Generative AI. This broad structure can support professionals from different business functions.

    A Data Analyst typically works more on the data itself, cleaning datasets, running queries, and answering specific business questions as they come up. A Business Intelligence Analyst takes a broader view, building the dashboards and reporting systems that let an organization monitor performance continuously, rather than analysing one question at a time.

    This course develops both skill sets rather than forcing an early choice. Participants build SQL querying ability for analyst-style work alongside Power BI dashboard design for BI-style reporting, giving them the flexibility to move into either role with confidence.

    The Data Analyst Course in Oman comprises 85 hours of structured training delivered through modules that can be completed alongside a full-time role rather than as an intensive full-day program. Each module builds on the last, moving from Excel and SQL through to Power BI and Python, so professionals can apply new skills at work as they progress.

    This course is designed for working professionals, and scheduling can typically be discussed based on individual availability.

    Learners Point brings over two decades of regional training experience to this course, giving participants in Oman a genuinely practical, structured path into data analytics.

    Reasons why Learners Point is chosen for this training:

    • Trusted training provider with over 25 years of regional training experience since 2001
    • Over 500,000 professionals trained across the Middle East
    • Proprietary Friction Method approach combining practice, mentoring, and real feedback
    • Course content structured around Microsoft PL-300 certification readiness
    • Hands-on labs and projects built from real business scenarios
    • Training designed for both individual professionals and corporate teams

    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