Data Analyst Course

This Data Analyst Training covers four primary tools:

• Microsoft Excel
• SQL
• Power BI
• Python

The SQL modules include data extraction, filtering, joins, and aggregation techniques used in real-world databases. Power BI training extends into DAX modelling, interactive dashboard creation, and report publishing via Power BI Service.

The program also integrates Microsoft Copilot and Fabric, enabling AI-assisted analytics, automated reporting, and intelligent data workflows. Python modules cover Pandas, NumPy, and Jupyter Notebooks, with hands-on practice in exploratory data analysis, data wrangling, statistical analysis, and hypothesis testing.

The training is a credible signal of technical competence in a field where employer expectations are rising. According to the World Economic Forum's Future of Jobs Report 2026, data analysts and scientists rank among the top ten fastest-growing roles globally over the next five years. In the UAE and GCC, ongoing digital transformation across government, banking, and retail is accelerating demand for professionals with verified skills in tools such as SQL, Power BI, and Python. Certification provides a verifiable, structured basis for that verification. (World Economic Forum, 2026)

Completing this certification course opens pathways to roles such as:

• Data Analyst
• Business Intelligence Analyst
• Reporting Analyst
• Junior Data Scientist
• Data Analytics Associate
• BI Developer

These roles are in demand across industries such as finance, retail, healthcare, technology, and operations, where professionals analyse trends, build dashboards, and support business decision-making using data.

No prior programming experience is required. The course is designed for junior and mid-level professionals who may have limited or no technical background. Python is introduced from the ground up, beginning with variables, data types, control flow, and functions before progressing to libraries such as Pandas and NumPy. Professionals with a basic familiarity with Excel will find the early modules straightforward, and the simulation projects provide structured practice at each stage before the difficulty level increases.

A Data Analyst primarily focuses on collecting, cleaning, and interpreting datasets to address specific business questions, often using tools like SQL, Excel, and Python. On the other hand, a Business Intelligence Analyst is more involved with reporting platforms, such as Power BI, to create dashboards, track key performance indicators (KPIs), and support strategic planning.

In practice, there is a significant overlap between these two roles. The Data Analyst Training Course encompasses both areas, allowing graduates the flexibility to pursue either analytical or reporting-focused positions as their careers progress.

Yes, this course is designed for working professionals. With flexible learning modes and a structured 12-module format, learners can progress step-by-step without disrupting their work schedules.

Each module includes practical exercises and project-based learning, making it easier to apply concepts without requiring extended study hours.

This Data Analyst Course at Learners Point is structured into 12 immersive modules, each paired with hands-on projects and real-world simulations.

Learners work on practical tasks such as building Power BI dashboards, writing SQL queries on structured datasets, and performing statistical analysis using Python. The program also includes AI-powered analytics using Microsoft Copilot and Fabric.

The training concludes with a professional capstone projectdesigned to simulate real-world business scenarios and prepare learners for industry roles.

Yes, the Data Analyst Training includes a capstone project to help participants apply their learning in a practical setting. The project allows them to work with data, analyse patterns, create reports, and present insights using relevant tools and techniques.

Through the capstone project, participants gain hands-on experience in solving real business problems. It helps them build confidence in data analysis, reporting, dashboard creation, and decision-making, preparing them for practical Data Analyst roles.

This program stands out for its integration of AI-powered analytics, Microsoft Copilot, and Fabric, along with hands-on training in Excel, SQL, Power BI, and Python.

It combines structured learning with real-world simulation projects and a capstone project, ensuring learners gain practical, job-ready experience rather than just theoretical knowledge.

Yes, this course includes multiple real-world simulation projects and a final capstone project. Each module is designed with practical applications, such as analysing datasets, building dashboards, and solving business problems.

The capstone project replicates real industry scenarios, helping learners demonstrate their skills in a professional context.