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 Akhil Gunisetty · Career Mentorship 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 · project-based lessons · certificate on completion
01Module 1: Python & Tools Setup
Hands-on lessons, examples, and a guided exercise covering python & tools setup.
02Module 2: Statistics for Data Science
Hands-on lessons, examples, and a guided exercise covering statistics for data science.
03Module 3: Data Wrangling with Pandas
Hands-on lessons, examples, and a guided exercise covering data wrangling with pandas.
04Module 4: Exploratory Data Analysis
Hands-on lessons, examples, and a guided exercise covering exploratory data analysis.
05Module 5: Data Visualisation
Hands-on lessons, examples, and a guided exercise covering data visualisation.
06Module 6: Machine Learning Basics
Hands-on lessons, examples, and a guided exercise covering machine learning basics.
07Module 7: Model Evaluation
Hands-on lessons, examples, and a guided exercise covering model evaluation.
08Module 8: End-to-End Data Project
Hands-on lessons, examples, and a guided exercise covering 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
Learn with our mentors
Guides practical QA workflows, automation foundations, and career-ready project reviews.
Mentors end-to-end builds, clean code habits, and shipping full-stack projects with confidence.
Supports career direction, interview readiness, and growth plans for every learner.
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