Project-based learning
Build real work you can show in interviews.
Course details
Data Science
Turn raw data into insight, models, and business decisions.
Taught by Karthik Subramanian · Data Science Mentor
CertificateIncluded on completion
Lifetime access
Revisit lessons anytime after you enroll.
Mentor support
Learn with guidance from industry experts.
Career-ready skills
Practical modules aligned to real roles.
Overview
What this course covers
A complete data science journey covering Python, statistics, data wrangling, visualisation, and machine learning. You will work through real datasets to build a portfolio that proves you can deliver insight end to end.
Outcome
Finish with practical skills and a portfolio-ready project in Data Science you can use for jobs, freelancing, or your next role.
Skills
What you'll learn
Python for data science
Statistics and probability essentials
Data cleaning and wrangling
Exploratory data analysis & visualisation
Building predictive models
Communicating results to stakeholders
Audience
Who this course is for
Beginners
Starting Data Science 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: Python & Tools Setup
Hands-on lessons and a guided exercise covering python & tools setup.
Topics covered
- Syntax & tooling
- Core data structures
- Functions & modules
- Practice exercises
Lab: Practice lab: Python & Tools Setup
02Week 2: Statistics for Data Science
Hands-on lessons and a guided exercise covering statistics for data science.
Topics covered
- Core concepts
- Hands-on practice
- Real dataset / case
- Review checkpoint
Lab: Practice lab: Statistics for Data Science
03Week 3: Data Wrangling with Pandas
Hands-on lessons and a guided exercise covering data wrangling with pandas.
Topics covered
- Core concepts
- Hands-on practice
- Real dataset / case
- Review checkpoint
Lab: Practice lab: Data Wrangling with Pandas
04Week 4: Exploratory Data Analysis
Hands-on lessons and a guided exercise covering exploratory data analysis.
Topics covered
- Core concepts
- Hands-on practice
- Real dataset / case
- Review checkpoint
Lab: Practice lab: Exploratory Data Analysis
05Week 5: Data Visualisation
Hands-on lessons and a guided exercise covering data visualisation.
Topics covered
- Core concepts
- Hands-on practice
- Real dataset / case
- Review checkpoint
Lab: Practice lab: Data Visualisation
06Week 6: Machine Learning Basics
Hands-on lessons and a guided exercise covering machine learning basics.
Topics covered
- Concept overview
- Guided walkthrough
- Hands-on exercise
- Checkpoint review
Lab: Practice lab: Machine Learning Basics
07Week 7: Model Evaluation
Hands-on lessons and a guided exercise covering model evaluation.
Topics covered
- Concept overview
- Workflow steps
- Evaluation metrics
- Mini project
Lab: Practice lab: Model Evaluation
08Week 8: End-to-End Data Project
Hands-on lessons and a guided exercise covering end-to-end data project.
Topics covered
- Core concepts
- Hands-on practice
- Real dataset / case
- Review checkpoint
Lab: Practice lab: End-to-End Data Project
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 to confidently move forward in your career.
- Job-ready data fundamentals
- A completed capstone you can showcase
- Certificate of completion from Syncpedia
Faculty
Your course mentor
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