Master Data Analytics with Live Online Classes
Build job-ready data skills with interactive live online classes, practical assignments, real-world projects and AI-powered tools. Choose from Data Science & AI and Data Analytics with AI tracks covering Python, SQL, Excel, Power BI, Tableau, Statistics and Machine Learning.
Learn Data Analytics & Data Science the Practical Way
This online program combines live instructor support with hands-on learning across Data Science & AI and Data Analytics with AI, so you can understand the concepts and apply them to real data problems.
Live Online Classes
Attend interactive sessions, ask questions in real time and learn directly from your trainer.
Hands-On Practice
Work through practical exercises and real datasets instead of learning only from theory.
AI-Powered Analytics
Explore modern AI tools for data cleaning, analysis, automation and machine learning workflows.
Career Preparation
Build a stronger profile with resume support, interview preparation and practical portfolio guidance.
From Live Class to Real-World Data Skills
Our learning approach is built around a simple cycle: learn the concept, see it in action, practise it, get feedback and improve.
Join Live Instructor-Led Classes
Learn concepts step by step with interactive online sessions and guided demonstrations.
Practise with Assignments
Apply each topic through structured assignments, exercises and dataset-based tasks.
Build Real-World Projects
Create practical work around data analysis, visualization, machine learning and AI tools.
Get Feedback & Improve
Use mentor feedback to refine your models, dashboards, reports and analysis approach.
Prepare for Your Next Step
Work on your profile, resume, interview skills and practical confidence for career opportunities.
Learn the Data Skills Employers Look For
Choose between two 6-month live online tracks — Data Science & AI and Data Analytics with AI. The exact sequence can be adapted by batch and trainer.
Data Science Fundamentals
- Data-driven decision making
- The data lifecycle
- Types of data & data sources
- Introduction to statistics
- Tools overview: Excel, SQL, Python
Python for Data Science
- Python basics & syntax
- NumPy & Pandas
- Data cleaning & preprocessing
- Data manipulation techniques
- Working with Jupyter Notebook
SQL & Databases
- Relational database concepts
- Writing SQL queries
- Joins, subqueries & aggregations
- Data extraction for analysis
- Real-world query practice
Statistics & Machine Learning
- Descriptive & inferential statistics
- Probability distributions
- Regression & classification models
- Model evaluation techniques
- Intro to supervised & unsupervised learning
AI & Deep Learning Foundations
- Introduction to AI & neural networks
- Natural language processing basics
- Using AI tools for data science
- Model building workflows
- AI ethics & responsible use
Data Science Capstone & Career Prep
- End-to-end data science project
- Model deployment basics
- Portfolio building
- Resume & interview preparation
- Career roadmap in data science
Data Analytics Fundamentals
- Analytics ecosystem
- Data types & sources
- Data collection & cleaning
- Excel for analytics
- Business problem framing
SQL for Data Analytics
- SQL fundamentals
- Joins & aggregations
- Data extraction & transformation
- Query optimization basics
- Reporting queries
Data Visualization
- Power BI fundamentals
- Tableau fundamentals
- Dashboard design principles
- Looker Studio reporting
- Storytelling with data
Statistics for Analytics
- Descriptive statistics
- Hypothesis testing basics
- Correlation & trend analysis
- KPI & metric design
- Data-driven reporting
AI Tools for Analytics
- AI-assisted data cleaning
- AI for insight generation
- Automation of repetitive analysis
- Prompting for analytics tasks
- AI-enabled dashboards
Analytics Capstone & Career Prep
- End-to-end analytics project
- Dashboard & report building
- Portfolio building
- Resume & interview preparation
- Career roadmap in data analytics
Get Familiar with Modern Data & AI Tools
Learn the purpose and practical use of platforms commonly used across data analytics, data science, visualization and AI-enabled workflows.
Build a Portfolio You Can Talk About
Strengthen your understanding with project-based learning across Data Science & AI and Data Analytics with AI.
Exploratory Data Analysis
Clean, explore and analyze a real-world dataset using Python and Excel to uncover trends and insights.
SQL Reporting Project
Write SQL queries to extract, join and aggregate data for business reporting.
Power BI / Tableau Dashboard
Design an interactive dashboard to visualize KPIs and support data-driven decisions.
Machine Learning Model
Build and evaluate a predictive model using regression or classification techniques.
AI-Assisted Analytics Project
Use AI tools to automate data cleaning, generate insights and support faster analysis.
Data Science Capstone
Complete an end-to-end project from data collection to model building and presentation.
Learn How AI Can Make Data Work Faster
Understand where AI can support data professionals — from data cleaning and analysis to model building and reporting — while keeping analytical thinking and human judgment at the centre.
Insights
Generate and refine data insights faster.
Cleaning
Support data cleaning, prep and preprocessing.
Modelling
Assist with model building and evaluation.
Productivity
Build repeatable workflows for daily data work.
Where Can Data Analytics & Data Science Take You?
Build skills that can support different career directions across analytics, data science, business intelligence and AI-driven roles.
Data Analyst
Focus on data cleaning, reporting, dashboards and business insights.
AnalyticsData Scientist
Work with statistics, machine learning and predictive modelling.
Data ScienceBI Developer
Build dashboards and reports using Power BI, Tableau and SQL.
Business IntelligenceAI & Analytics Specialist
Combine AI tools with analytics workflows for faster insights.
AI + AnalyticsData Analytics & Data Science Certificate
Showcase your learning journey with a course completion certificate and a portfolio of practical work.
Go Beyond the Classroom
Get guidance that helps you prepare for the next step after your training.
Structure your skills and project work clearly.
Practise common data analytics and data science concepts and scenario-based questions.
Present practical work in a more professional way.
Receive career guidance and support during your job search journey.
What Learners Look For in a Live Course
Use this section for your verified student reviews and actual learner feedback.
“The live format made it easier to ask questions and understand each topic step by step. The practical projects helped me connect statistics and Python with real data problems.”
“I wanted to learn SQL and Power BI in a structured way. The combination of live classes, assignments and project practice made the learning process more engaging.”
“The AI-focused part of the course helped me understand how AI can speed up data cleaning and analysis while keeping my own analytical thinking sharp.”
Ready to Learn Data Analytics & Data Science Online?
Talk to our team to learn about the next live batch, class schedule, course structure (Data Science & AI or Data Analytics with AI) and enrolment process.
Learn. Practise. Build. Grow.
Join a live online Data Science & AI or Data Analytics with AI program focused on practical skills, modern tools, AI-enabled workflows and career preparation.
Frequently Asked Questions
Everything you need to know before joining the online live Data Analytics program.