Foundation
Advanced Excel
Master formulas, lookups, PivotTables, Power Query and Excel dashboards.
Build your career in data analytics
Become a Job-Ready Data Analyst
Master Excel, SQL, Power BI, Python and statistics with industry-focused training, and learn to turn raw data into decisions businesses can act on.
Clean and analyse data, build interactive dashboards and communicate insights with confidence through hands-on, case-study-based learning.
- Comprehensive Data Analytics Curriculum
- Hands-on Business Case Studies
- Industry-Standard Tools
- Placement Assistance
Comprehensive Curriculum
Structured learning modules
Practical Learning
Business case studies
Certification
Course completion credentials
Placement Assistance
Career preparation support
Why become a data analyst?
Every Business Decision Starts With Data
Organisations of every size collect data on customers, sales and operations, and they need people who can make sense of it.
Knowing a tool or two isn't enough. You need to clean messy data, ask the right questions, find patterns and present findings that decision-makers can act on.
Our Data Analyst program brings these essential skills together in one structured learning journey.
- 01
Prepare
Collect, clean and prepare raw data from spreadsheets and databases.
- 02
Analyse
Use SQL, Python and statistics to explore data and uncover trends.
- 03
Communicate
Build dashboards and reports that turn insights into business decisions.
Skills you will develop
Master the Tools Every Data Analyst Uses
Foundation
SQL & Databases
Write queries with joins, aggregations, subqueries and window functions to extract data.
Core
Power BI
Model data, write DAX measures and build interactive dashboards and reports.
Core
Python for Data Analysis
Clean, transform and analyse data with Python, Pandas and NumPy.
Core
Statistics for Analysis
Apply descriptive statistics, probability, hypothesis testing and correlation.
Advanced
Data Storytelling
Visualise findings with Matplotlib and Seaborn and present insights clearly to stakeholders.
Where can your skills take you?
Explore Career Paths in Data Analytics
Develop skills relevant to analytical and reporting roles across every industry.
Data Analyst
Analyse data, create reports and communicate business insights.
Business Analyst
Connect business needs with data to improve processes and decisions.
Power BI Developer
Design data models and build dashboards for business reporting.
MIS / Reporting Analyst
Prepare recurring reports and track key business metrics.
Your learning partner
More Than Just Technical Training
Choose a learning experience that focuses on technical knowledge, practical understanding and professional development.
Structured Learning Path
Progress from Excel and SQL fundamentals to Power BI, Python and statistics.
Practical Case Studies
Apply every concept to realistic business datasets and scenarios.
Communication & Personality Development
Develop communication, teamwork, presentation and interpersonal skills.
Aptitude & Reasoning Preparation
Build analytical thinking and problem-solving abilities.
Placement Assistance
Get support with employability preparation and interview skills.
What you will learn
A Complete Learning Path from Excel to Business Insights
- Learning modules
- 16
- Journey
- Excel → Power BI
01Introduction to Data Analytics
- The role of a data analyst
- The analytics lifecycle
- Types of analytics
02Excel Fundamentals
- Formulas and functions
- Data cleaning and formatting
- Sorting, filtering and conditional formatting
03Advanced Excel
- XLOOKUP, INDEX and MATCH
- PivotTables and PivotCharts
- Power Query
- Excel dashboards
04Database Fundamentals
- Relational databases and tables
- Keys and relationships
05SQL for Data Analysis
- SELECT, filtering and sorting
- Joins and aggregations
- Subqueries and CTEs
- Window functions
06Statistics for Data Analysis
- Descriptive statistics
- Probability and distributions
- Hypothesis testing
- Correlation and regression basics
07Power BI Fundamentals
- Connecting to data sources
- Power Query transformations
- Data modelling and relationships
08Advanced Power BI
- DAX measures and calculated columns
- Interactive dashboards and reports
- Publishing and sharing reports
09Python Programming
- Python fundamentals
- Data structures and functions
10Python for Data Analysis
- NumPy
- Pandas
- Data cleaning and transformation
11Data Visualization with Python
- Matplotlib
- Seaborn
12Exploratory Data Analysis
- The EDA workflow
- Finding patterns, trends and outliers
13Data Storytelling & Reporting
- Choosing the right chart
- Presenting insights to stakeholders
14Capstone Project
- End-to-end analysis of a business dataset
- Insights presentation
15Communication & Personality Development
- Communication and presentation
- Teamwork and interpersonal skills
16Aptitude & Reasoning
- Analytical thinking
- Problem solving
sales_analysis.sql
-- Top 5 product categories by revenue this year
SELECT p.category,
SUM(o.quantity * o.unit_price) AS revenue,
COUNT(DISTINCT o.customer_id) AS customers
FROM orders o
JOIN products p ON p.product_id = o.product_id
WHERE o.order_date >= '2026-01-01'
GROUP BY p.category
ORDER BY revenue DESC
LIMIT 5;
Learn by doing
Turn Your Knowledge Into Practical Skills
Apply every tool to realistic business problems through hands-on exercises, case studies and a capstone project.
- Sales performance dashboard in ExcelExcel
- Customer and orders analysis using SQLSQL
- Interactive business dashboard in Power BIPower BI
- Exploratory data analysis with PythonPython
- HR attrition analysis case studyAnalytics
- Statistical analysis of A/B test resultsStatistics
- End-to-end capstone project with insights presentationCapstone
Recognize your learning
Get Recognized for Your Data Analytics Skills
Validate your learning journey and showcase the analytical skills you develop throughout the program.
Build your foundation in Excel, SQL, Power BI, Python and statistics while working towards your course completion credentials.
- Course completion recognition
- Dashboard and project portfolio
- Skills-focused training
- Career development preparation
Got questions?
Frequently Asked Questions
What is the Data Analyst course about?+
It is a structured training program covering Excel, SQL, Power BI, Python, statistics and data storytelling, with hands-on business case studies.
Do I need a technical or maths background?+
The course starts with Excel and SQL fundamentals and covers the statistics you need. Please confirm the eligibility requirements with our course counsellor.
What tools will I learn?+
Microsoft Excel (including Power Query), SQL, Power BI, Python, Pandas, NumPy, Matplotlib and Seaborn.
How is this different from the AI Data Science course?+
The Data Analyst program focuses on analysing data and reporting insights with Excel, SQL, Power BI and Python. AI Data Science goes further into machine learning, deep learning and AI. Our counsellors can help you choose the right path.
Will I work on practical projects?+
Yes. The program includes Excel and Power BI dashboards, SQL analysis, Python exploratory analysis, business case studies and a capstone project.
Does the course provide placement assistance?+
Yes. The program includes placement assistance with employability and interview preparation.
Will I receive a certificate?+
Contact the Quality Thought team for details about the course completion certificate, its issuer and eligibility.
How can I enroll?+
Submit your details through the enquiry form. Our admissions team will share course information and guide you through the enrollment process.
Take the next step
Your Data Analyst Career Starts With the Right Skills.
Don't just look at numbers. Learn to clean, analyse and visualise data, and turn it into insights that drive business decisions.