Data Analytics & Data Science Programs

Two structured tracks — pick the depth your next career move needs.

 

DATA ANALYTICS

PHASES

5

DURATION

50 hours

TOPICS

45+

CERT.

KHDA-approved

DATA SCIENCE

MODULES

8

DURATION

80 hours

TOOLS

7, Excel to DL

CERT.

Job-ready

 

 

data analytics course in dubai

 

Choosing your track

Both programs share the same first phases — Excel, SQL, Power BI, and Tableau — so you can start on either and know your foundation transfers. Data Analytics is the fastest path to a job-ready analyst role.

Data Science covers the same ground and then continues into statistics, machine learning, and deep learning.


Data Analytics Master Program

From Excel to Data Analyst. One program, full-stack data skills — 5 phases, 50 hours, 45+ topics, with case studies and a capstone project in every phase. Ends at exploratory data analysis with Python. Certificate is KHDA-approved. Best for the fastest route into an analyst-track role.

Data Science Master Program

From data analysis to deep learning. One complete program — 8 modules, 80 hours, covering everything in Data Analytics plus Statistics, Machine Learning, and Deep Learning. Ends with TensorFlow / Keras models, and a hands-on project every module builds toward a portfolio. Best for analyst plus data scientist / ML-track roles.

Side-by-side comparison

DATA ANALYTICS DATA SCIENCE
DURATION 50 hours 80 hours
STRUCTURE 5 phases, 45+ topics 8 modules
TOOLS Excel, SQL, Power BI, Tableau, Python Same, plus ML & DL
STATISTICS Not included Full module: probability, inference, regression
MACHINE LEARNING Not included Full module: supervised, unsupervised, tuning
DEEP LEARNING Not included Full module: ANN, CNN, RNN, TensorFlow/Keras
PROJECTS Case study + capstone every phase Hands-on project every module
CERTIFICATION KHDA-approved certificate Job-ready certificate
CLASS SIZE / MODE Small batches, online & classroom Small batches, online & classroom
BEST FOR Fastest path to an analyst role Analyst + data scientist / ML roles

Who Should Enroll

No prior data analytics experience is required — a basic understanding of computers and a willingness to learn is all you need to get started.

Fresh graduates

Science, commerce, or engineering graduates looking to enter the data industry with job-ready skills.

Working professionals

Analysts, accountants, marketers, or managers who want to level up with data tools.

Career switchers

Individuals from non-technical backgrounds transitioning into data analytics or BI.

IT & developer professionals

Software developers or IT professionals expanding into data science and machine learning.

Entrepreneurs & business owners

People who want to understand their data, build dashboards, and make smarter decisions.

Students (undergrad / postgrad)

Students wanting a practical edge alongside their degree to improve employability.

Data Analytics curriculum — 5 phases, 50 hours
01 Advanced Excel for Data Analytics FOUNDATIONS 10 HRS
●  Advanced Excel foundations for analytics ●   Data model & relationships (Power Pivot)
● Advanced formula engineering (dynamic Excel) ●   DAX fundamentals in Excel
●  Aggregation & business metrics (KPI building) ●   Advanced visualization & executive dashboards
●  PivotTable & PivotChart pro ●    Excel automation (macros / VBA basics)
●  Power Query (data transformation & automation)
02 SQL for Data Analysis DATABASES 8 HRS
●      SQL fundamentals & database concepts ●      Aggregations & grouping
●      Data retrieval & filtering techniques ●      SQL project / case study
●      Joins & table relationships
03 Power BI (Business Intelligence) VISUALIZATION 12 HRS
●      Power BI fundamentals & data loading ●      Data visualization & dashboard design
●      Understanding charts ●      Advanced DAX & time intelligence
●      Data transformation ●      Interactive reports & drill-through analysis
●      Data modeling & relationships ●      Power BI service & publishing
●      DAX (Data Analysis Expressions) ●      Real-time dashboard project
04 Tableau (Data Visualization) VISUALIZATION 10 HRS
●      Tableau fundamentals & data connection ●      Advanced charts & analytics
●      Data preparation & cleaning ●      Filters, actions & interactivity
●      Data visualization techniques ●      Tableau Public
●      Calculated fields & parameters ●      Tableau project / case study
●      Dashboards & storytelling
05 Python for Data Analysis PROGRAMMING 10 HRS
●      Python basics for data analytics ●      Data visualization (Matplotlib / Seaborn)
●      Data structures & operations ●      Exploratory data analysis (EDA)
●      Data analysis using Pandas ●      Working with real-world datasets
●      Data cleaning & preprocessing ●      Mini projects & case studies
Data Science curriculum — 8 modules, 80 hours
01 Advanced Excel for Data Analytics FOUNDATIONS 10 HRS
●  Advanced Excel foundations for analytics ●  Data model & relationships (Power Pivot)
●  Advanced formula engineering (dynamic Excel) ●  DAX fundamentals in Excel
● Aggregation & business metrics (KPI building) ●  Advanced visualization & executive dashboards
● PivotTable & PivotChart pro ●  Excel automation (macros / VBA basics)
● Power Query (data transformation & automation)
02 SQL for Data Analysis DATABASES 8 HRS
●      SQL fundamentals & database concepts ●      Aggregations & grouping
●      Data retrieval & filtering techniques ●      SQL project / case study
●      Joins & table relationships
03 Power BI — Business Intelligence VISUALIZATION 12 HRS
●      Power BI fundamentals & data loading ●      Data visualization & dashboard design
●      Understanding charts ●      Advanced DAX & time intelligence
●      Data transformation ●      Interactive reports & drill-through analysis
●      Data modeling & relationships ●      Power BI service & publishing
●      DAX (Data Analysis Expressions) ●      Real-time dashboard project
04 Tableau — Data Visualization VISUALIZATION 10 HRS
● Tableau fundamentals & data connection ● Advanced charts & analytics
● Data preparation & cleaning ● Filters, actions & interactivity
● Data visualization techniques ● Tableau Public
● Calculated fields & parameters ● Tableau project / case study
● Dashboards & storytelling
05 Introduction to Statistics FOUNDATIONS 8 HRS
●      Descriptive statistics ●      Correlation & covariance
●      Probability ●      Regression analysis
●      Probability distributions ●      Statistical testing
●      Inferential statistics ●      Statistics for machine learning
06 Python for Data Analysis PROGRAMMING 10 HRS
●      Python basics for data analytics ●      Data visualization (Matplotlib / Seaborn)
●      Data structures & operations ●      Exploratory data analysis (EDA)
●      Data analysis using Pandas ●      Working with real-world datasets
●      Data cleaning & preprocessing ●      Mini projects & case studies
07 Machine Learning (ML) MODELING 12 HRS
●      Introduction to machine learning ●      Model evaluation & performance metrics
●      Data preprocessing for ML ●      Feature engineering
●      Supervised learning algorithms ●      Model optimization & tuning
●      Unsupervised learning algorithms ●      ML workflow & deployment basics
08 Deep Learning (DL) MODELING 10 HRS
●      Introduction to deep learning ●      RNN (sequence models basics)
●      Neural networks fundamentals ●      Transfer learning
●      ANN (Artificial Neural Networks) ●      Deep learning frameworks (TensorFlow / Keras)
●      CNN (computer vision basics) ●      DL use cases & applications
Why choose Prime Easy Learn
01 Industry-relevant curriculum, updated to match current job market demands. 02 Experienced instructors with real-world industry backgrounds.
03 Hands-on projects in every phase — build a portfolio, not just a certificate. 04 Flexible online and classroom options to fit your schedule.
05 Career support including resume reviews and interview preparation. 06 Small batch sizes for personalised attention and mentorship.
07 Affordable fees with flexible payment plans. 08 Lifetime access to course materials and recordings.
09 Recognised certification — the Data Analytics program is KHDA-approved, and both strengthen your resume and LinkedIn profile.

Ready to start your data career?

Whichever track fits — Data Analytics or Data Science — small batches are forming now.

By understanding how these technologies complement one another, learners gain the confidence to handle complete reporting workflows instead of working with individual software applications in isolation.

Frequently Asked Questions

The courses will benefit individuals such as students, graduates, accountants, business analysts, finance professionals, IT professionals, managers, and those who want to acquire knowledge in practical data analysis.

Depending on the course you opt for, you will have hands-on experience with Advanced Excel, Power BI, and Python.

No. The training begins with foundational concepts before progressing to advanced analytical techniques, making it suitable for beginners as well as working professionals.

Our data analyst course in the UAE helps you learn skills such as organising and validating data, analysing business information, building dashboards, creating KPI reports, recognising trends, automating reporting processes, and representing data in a visual way.

These courses provide you with practical, analytical and reporting skills which are popularly applied in finance, operations, sales, marketing, logistics, healthcare, and business intelligence fields.

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