DATASCIENCE + ANALYTICS

Course details

Data Science & Analytics

The complete path from analytics fundamentals to predictive modelling.

AdvancedLevel
42 LecturesCurriculum
12 WeeksDuration
360+Students

Enroll Now View Curriculum

Taught by Tejasree Desamsetty · Full Stack Developer

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 · project-based lessons · certificate on completion

01Module 1: Analytics Foundations

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

02Module 2: SQL & Data Wrangling

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

03Module 3: Visualisation & BI Tools

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

04Module 4: Statistical Modelling

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

05Module 5: Machine Learning

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

06Module 6: Time Series & Forecasting

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

07Module 7: Big Data Overview

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

08Module 8: Capstone Data Product

Hands-on lessons, examples, and a guided exercise covering 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.