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Data & AI Track

Data Science AI-Enabled

★★★★★ 4.8 · 450+ students trained

Go beyond analysis — build predictive models, train neural networks and deploy ML solutions. 40 live sessions covering Python, Machine Learning, Deep Learning and cloud deployment.

Sessions40 Live
Duration4 Months
ModeOnline · Offline · Hybrid
LanguageEnglish & Tamil
SupportPlacement until placed
Enquire Now Call +91 90874 96799
40
Live Sessions
120 min
Per Session
4 Months
Duration
English
Language
Weekday
MTWTFSS
Weekend
MTWTFSS
Mode Online · Offline · Hybrid
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About the Course

Linkskill's Data Science program is a 40-session, live-instructor-led course designed to take you from Python fundamentals to deploying production ML models. You'll master Python for data science, Machine Learning with Scikit-learn, Deep Learning with TensorFlow/Keras, and cloud deployment on AWS — the exact skills data science teams in 2026 are hiring for.

Every session is hands-on using real-world datasets from finance, healthcare and e-commerce. The program concludes with a capstone ML project — a full pipeline from raw data to a deployed API — that becomes your portfolio showcase for interviews.

Course Curriculum

01

Python & Data Fundamentals

5 sessions
  • Python syntax, data structures & OOP basics
  • NumPy arrays — vectorised operations & broadcasting
  • Pandas DataFrames — load, clean, merge, reshape
  • Data cleaning: nulls, duplicates, type casting
  • EDA workflow using Jupyter/Colab notebooks
02

Statistics & Mathematics for DS

4 sessions
  • Descriptive statistics, distributions & central limit theorem
  • Hypothesis testing, p-values & confidence intervals
  • Linear algebra: vectors, matrices, eigenvectors
  • Probability theory & Bayes' theorem
03

Data Visualisation & Storytelling

3 sessions
  • Matplotlib & Seaborn — publication-quality charts
  • Plotly for interactive dashboards
  • Data storytelling: choosing the right chart type
  • Presenting insights to non-technical stakeholders
04

Machine Learning Foundations

8 sessions
  • Supervised learning: regression & classification
  • Decision trees, random forests & gradient boosting (XGBoost)
  • Unsupervised learning: K-Means, PCA, DBSCAN
  • Feature engineering & selection techniques
  • Model evaluation: cross-validation, ROC-AUC, confusion matrix
  • Hyperparameter tuning with GridSearchCV & Optuna
  • Scikit-learn pipelines for production-ready code
  • LightGBM — winning competition models
05

Deep Learning & Neural Networks

7 sessions
  • Neural network architecture — layers, activations, backpropagation
  • TensorFlow & Keras: building & training models
  • Convolutional Neural Networks (CNNs) for image tasks
  • Recurrent Neural Networks (RNNs) & LSTMs for sequences
  • Transfer learning & fine-tuning pre-trained models
  • Regularisation: dropout, batch normalisation
  • GPU training on Google Colab
06

NLP & AI Tools Integration

4 sessions
  • Text preprocessing: tokenisation, TF-IDF, word embeddings
  • Sentiment analysis & text classification
  • Hugging Face Transformers & BERT basics
  • Using ChatGPT/Copilot to accelerate data science workflow
07

ML Deployment & Cloud

5 sessions
  • Saving & loading models: Pickle, joblib, ONNX
  • Building a model API with FastAPI
  • Deploying to AWS EC2 / Lambda
  • Docker basics for ML containers
  • Model monitoring & drift detection
08

Capstone Project

4 sessions
  • End-to-end: data collection → EDA → modelling → deployment
  • Build a real-world prediction or classification system
  • REST API endpoint + interactive front-end demo
  • GitHub portfolio + mock interview presentation

Job Roles After This Course

Data Scientist ML Engineer Data Analyst (Advanced) AI Developer Analytics Engineer Quantitative Analyst Decision Scientist Research Analyst NLP Engineer (Junior)

Tools & Technologies

Tools & Platforms

Python 3.x Jupyter / Colab TensorFlow 2.x AWS EC2 / S3 Docker (basics) Git & GitHub FastAPI VS Code Tableau / Power BI

Python Libraries

NumPy Pandas Scikit-learn TensorFlow / Keras XGBoost Matplotlib Seaborn Plotly Hugging Face

Key Course Features

🎥
100% Live Interactive Learning
🚀
Placement Assistance
📹
Session Recordings Provided
🏆
Industry Certificate
💳
Easy EMI Options
🕐
24×7 Support
💼
Real-World Project Learning
🎯
Interview Preparation
🔗
LinkedIn Profile Building
🎓

Industry Certificate

You will be certified once you complete the 40-session program and submit your capstone ML project. The Linkskill Academy Data Science certificate is recognised by 500+ hiring companies across India.

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