DATASCIENCE + ANALYTICS

Course details

Data Science & Analytics

The complete path from analytics fundamentals to predictive modelling.

AdvancedLevel
38 Hours+Hours
3 MonthsDuration
360+Students

Enroll Now View Curriculum

Taught by Aditya Nair · Analytics Mentor

CertificateIncluded on completion

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Project-based learning

Build real work you can show in interviews.

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Lifetime access

Revisit lessons anytime after you enroll.

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Mentor support

Learn with guidance from industry experts.

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Career-ready skills

Practical modules aligned to real roles.

Overview

What this course covers

A comprehensive track combining data analytics and data science. Start with analysis and visualisation, then advance into statistical modelling, machine learning, and deploying data products that create measurable impact.

Outcome

Finish with practical skills and a portfolio-ready project in Data Science & Analytics you can use for jobs, freelancing, or your next role.

Skills

What you'll learn

End-to-end analytics workflow
SQL, Python & visualisation
Statistical inference and testing
Predictive machine learning models
Big data tools overview
Building a full data product

Audience

Who this course is for

Beginners

Starting Data Science & Analytics from scratch and want a clear path.

Students & grads

Building a portfolio and interview-ready skills.

Working pros

Upskilling into data roles with practical projects.

Before you start

Prerequisites

Basic computer and internet skills
Curiosity and consistency to practise weekly
Open to learners of every background

Syllabus

Curriculum overview

8 modules · week-by-week topics · labs · certificate on completion

01Week 1: Analytics Foundations

Hands-on lessons and a guided exercise covering analytics foundations.

Topics covered

Concept overview
Guided walkthrough
Hands-on exercise
Checkpoint review

Lab: Practice lab: Analytics Foundations

02Week 2: SQL & Data Wrangling

Hands-on lessons and a guided exercise covering sql & data wrangling.

Topics covered

Core concepts
Hands-on practice
Real dataset / case
Review checkpoint

Lab: Practice lab: SQL & Data Wrangling

03Week 3: Visualisation & BI Tools

Hands-on lessons and a guided exercise covering visualisation & bi tools.

Topics covered

Concept overview
Guided walkthrough
Hands-on exercise
Checkpoint review

Lab: Practice lab: Visualisation & BI Tools

04Week 4: Statistical Modelling

Hands-on lessons and a guided exercise covering statistical modelling.

Topics covered

Concept overview
Workflow steps
Evaluation metrics
Mini project

Lab: Practice lab: Statistical Modelling

05Week 5: Machine Learning

Hands-on lessons and a guided exercise covering machine learning.

Topics covered

Concept overview
Guided walkthrough
Hands-on exercise
Checkpoint review

Lab: Practice lab: Machine Learning

06Week 6: Time Series & Forecasting

Hands-on lessons and a guided exercise covering time series & forecasting.

Topics covered

Concept overview
Guided walkthrough
Hands-on exercise
Checkpoint review

Lab: Practice lab: Time Series & Forecasting

07Week 7: Big Data Overview

Hands-on lessons and a guided exercise covering big data overview.

Topics covered

Core concepts
Hands-on practice
Real dataset / case
Review checkpoint

Lab: Practice lab: Big Data Overview

08Week 8: Capstone Data Product

Hands-on lessons and a guided exercise covering capstone data product.

Topics covered

Core concepts
Hands-on practice
Real dataset / case
Review checkpoint

Lab: Practice lab: Capstone Data Product

After the course

You'll walk away ready

By completing this course, you will have the practical skills and a portfolio project in Data Science & Analytics to confidently move forward in your career.