Data Science Internship
About This Course
Ready to apply? New batch starts every 7 days.
A structured 6-week virtual internship designed to take you from Python basics
to deploying production ML models. Includes 24 animated lessons, 24 theory
videos, 24 IDE-style practice labs, weekly live mentor sessions with industry
experts, 2 industry projects, and a real-world capstone.
Outcome: You will leave with 2 GitHub-ready projects, an ATS-friendly resume,
a working ML pipeline you built yourself, and a verified internship certificate.
Mentor: Synkoc Industry Expert
Mentor Expertise: Data Science, Python, ML, DL, NLP, GenAI, AWS/GCP/Azure, MLOps
Ready to apply? New batch starts every 7 days.
Learning Objectives
24 animated concept videos (15–20 min each) explaining every core DS topic visually
24 in-depth theory videos with real Indian business case studies
24 IDE-style hands-on coding labs with starter code and Indian datasets
Comprehensive Reference Guide Book (68 pages PDF — Math, SQL, all 6 weeks, 10 project briefs, 50 interview Q&A)
Weekly 90-minute live doubt-clearing session with industry mentor
Build 2 industry projects (chosen from a 10-project library) + 1 Customer Churn Capstone — 3 portfolio pieces total
Master Python, NumPy, pandas, scikit-learn, matplotlib, and basic neural networks
Learn the full ML workflow: EDA → feature engineering → modelling → tuning → deployment
Hands-on with Random Forest, XGBoost, Logistic Regression, K-Means, PCA, and TensorFlow basics
SQL skills including window functions (asked in every DS interview)
Training Certificate (after curriculum completion) + Internship Certificate (after project completion)
Letter of Recommendation from industry mentor (Standard + Premium tiers)
Career prep: ATS-friendly DS resume, GitHub portfolio polish, ML interview prep
Discord community of fellow Synkoc learners
Material Includes
- 24 animated lesson videos (~7 hours total)
- 24 theory deep-dive videos (~10 hours total)
- 24 IDE-style hands-on practice labs with starter code
- Reference Guide Book (68 pages PDF — Math, SQL, 6 weeks, 10 project briefs, 50 interview Q&A)
- 10 real-world industry project briefs with datasets and rubrics
- Choose 2 industry projects to build during the internship (working solution code unlocked after submission)
- Customer Churn Capstone Project — complete end-to-end ML pipeline
- 6 weekly live mentor sessions (90 min each, recorded for later viewing)
- Discord community access for peer support and networking
- Training Certificate (auto-issued after curriculum completion)
- Internship Certificate (issued after project + capstone completion)
- Letter of Recommendation from industry mentor (Standard + Premium tiers only)
- LinkedIn Recommendation from mentor (Premium tier only)
- Lifetime access to all course materials including future updates
Requirements
- A laptop or desktop with 4GB+ RAM and a stable internet connection (no GPU needed)
- Basic computer literacy — comfortable installing software and browsing files
- Ability to commit 6–8 hours per week consistently for the 6-week duration
- Willingness to write code daily — even 30 minutes beats 5 hours once a week
- A working Gmail account (for Google Colab, GitHub signup, and Discord access)
- No prior coding experience required — Week 1 starts from absolute Python basics
- No prior maths beyond Class 10 level — we cover linear algebra, probability, and stats from scratch
- Attend at least 4 of the 6 weekly live mentor sessions to qualify for the Internship Certificate
- Submit your 2 chosen projects + Capstone within the 6-week window for certificate eligibility
- Maintain academic integrity — submit your own work; plagiarised code disqualifies certificate issue
Target Audience
- Final-year B.Tech / B.E. / B.Sc / BCA / M.Sc / MCA students looking for their first data science role
- Working professionals from IT, BPO, finance, or analytics wanting to transition into Data Science
- Career switchers from non-tech backgrounds (commerce, mechanical, civil) who can commit 6–8 hours per week
- Freshers preparing for placement interviews at Flipkart, Razorpay, Swiggy, Tata 1mg, Mu Sigma, Tiger Analytics, Fractal, and similar Indian companies
- Anyone who has watched 50 YouTube tutorials but still cannot build an end-to-end ML project independently
Curriculum
72 Lessons40h
Week 1 — Python & Data Wrangling
Build your foundation: Python, NumPy, pandas, and data cleaning. By end of this week you can read any messy CSV and turn it into clean, analyzable data.
Lesson 1 — Python Basics for Data Science (Animated)
Lesson 1 — Python Basics for Data Science (Theory)
Lesson 1 — Python Basics for Data Science (Lab)
Lesson 2 — NumPy for Numerical Computing (Animated)
Lesson 2 — NumPy for Numerical Computing (Theory)
Lesson 2 — NumPy for Numerical Computing (Lab)
Lesson 3 — pandas for Data Manipulation (Animated)
Lesson 3 — pandas for Data Manipulation (Theory)
Lesson 3 — pandas for Data Manipulation (Lab)
Lesson 4 — Data Cleaning & Preparation (Animated)
Lesson 4 — Data Cleaning & Preparation (Theory)
Lesson 4 — Data Cleaning & Preparation (Lab)
Week 2 — Statistics & Exploratory Data Analysis
Think like a scientist: descriptive stats, visualisations, hypothesis testing, and the EDA checklist that every senior data scientist runs on every new dataset.
Week 3 — Supervised ML I
Train your first ML models from scratch. The workflow, train/test split, Linear Regression, Logistic Regression, and Decision Trees with real Indian datasets.
Week 4 — Supervised ML II
Make your models production-grade: Random Forests, feature engineering, regularisation, and hyperparameter tuning. From 75% accuracy to 88%.
Week 5 — Unsupervised & Deep Learning
Expand the toolkit: customer segmentation with K-Means, dimensionality reduction with PCA, and your first neural network for end-to-end ML pipelines.
Week 6 — Capstone Project
Build a complete Customer Churn ML system end-to-end: EDA, baseline, model, evaluation, deployment, and explainability. Your portfolio centrepiece.
Bonus — Career Awareness
Turn the internship into job offers: ATS-friendly resume, polished GitHub portfolio, and ML interview prep covering bias/variance, metrics, and STAR answers.
Earn a certificate
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.
Price range: ₹499.00 through ₹4,999.00 (incl. 18% GST)
Material Includes
- 24 animated lesson videos (~7 hours total)
- 24 theory deep-dive videos (~10 hours total)
- 24 IDE-style hands-on practice labs with starter code
- Reference Guide Book (68 pages PDF — Math, SQL, 6 weeks, 10 project briefs, 50 interview Q&A)
- 10 real-world industry project briefs with datasets and rubrics
- Choose 2 industry projects to build during the internship (working solution code unlocked after submission)
- Customer Churn Capstone Project — complete end-to-end ML pipeline
- 6 weekly live mentor sessions (90 min each, recorded for later viewing)
- Discord community access for peer support and networking
- Training Certificate (auto-issued after curriculum completion)
- Internship Certificate (issued after project + capstone completion)
- Letter of Recommendation from industry mentor (Standard + Premium tiers only)
- LinkedIn Recommendation from mentor (Premium tier only)
- Lifetime access to all course materials including future updates
