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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
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.

12 Questions to Ask Before You Enrol — Answered

Before joining any Data Science course in Salem or online, ask these 12 questions. Here are Linkskill Academy's straight answers.

1Does the Data Science course cover Excel, SQL, Power BI or Tableau, Python and statistics? Can I get the full module list in writing?

Yes for Python and statistics: this course covers Python, statistics and mathematics, data visualisation (Tableau / Power BI), machine learning, deep learning, NLP/AI tools and ML deployment. For a deeper Excel and SQL focus, see the Data Analyst course. Full module list: 1. Python & Data Fundamentals (5 sessions); 2. Statistics & Mathematics for DS (4 sessions); 3. Data Visualisation & Storytelling (3 sessions); 4. Machine Learning Foundations (8 sessions); 5. Deep Learning & Neural Networks (7 sessions); 6. NLP & AI Tools Integration (4 sessions); 7. ML Deployment & Cloud (5 sessions); 8. Capstone Project (4 sessions). We will send this module list on WhatsApp or email on request.

2How many real projects will I do, and with what datasets? Can I see past student projects?

Every module includes hands-on notebooks on real datasets, and the course ends with a capstone ML project taken from data to a deployed model. Ask us on WhatsApp and we will share sample capstone projects from past learners.

3What is the trainer's industry experience? Do they work in the industry now?

Programmes are led by Sreemathy Sampath, Founder & Managing Director of Linkskill Academy, who has 10+ years of training experience in data and analytics, together with practising industry mentors for specialist modules. Ask us on WhatsApp for the name, LinkedIn profile and current role of the trainer assigned to your batch, and we will send it in writing before you pay.

4Can I attend a free demo class before paying?

Yes. You can attend a free demo / orientation session before you pay anything. Book a slot on WhatsApp (+91 90874 96799). We also run regular free and low-cost workshops (for example our free SQL one-day workshop), which are a good way to experience our teaching style first.

5How many students are in a batch? Are there weekday, weekend or online options?

Batches are kept small so the trainer can review every learner's work. We run weekday and weekend batches, in person at our Arisipalayam, Salem centre, live online, or hybrid. Ask us for the exact seat count and timings of the next batch and we will confirm them on WhatsApp or email.

6What is the duration and total fee, including taxes and exam charges? Are instalments available?

Duration: 40 live sessions of 120 min each, over about 4 Months. Fee: Data Science programmes are ₹22,000–₹30,000 depending on mode and batch. EMI/instalment options are available. Before you pay we send the full amount in writing, with GST and any third-party exam fees shown separately, so there are no hidden charges.

7Who issues the certificate? Is it linked to Microsoft or another recognised body, or is it the academy's own?

The certificate is issued by Linkskill Academy Pvt. Ltd. on completing the sessions and the capstone. It is the academy's own certificate, not linked to Microsoft or another external body.

8Do you offer placement support or only interview prep? Which companies hired your recent students, and how many were placed last year?

We offer placement support, not a job guarantee, and we do not advertise "100% placement". Support continues after the course until you are placed: resume and LinkedIn rebuilding, mock interviews, portfolio review and referrals to hiring companies we work with. Ask us for the list of companies that hired our recent learners and last year's placement numbers, and we will share them in writing.

9Can I speak to two or three past students?

Yes. On request we connect you with two or three past learners from a recent batch (with their consent) so you can ask them directly about the training, projects and placement support.

10What is the refund or batch-change policy if I'm not satisfied?

Our written policy: 100% refund if you cancel 7+ days before the batch starts; 75% refund if you cancel within the first 7 days of class and have attended no more than 2 sessions; after week 1 there is no refund, but you can transfer to a later batch free of charge. Batch transfers are unlimited and free. Refunds are processed within 7 business days.

11Is an internship included, and is it paid or unpaid?

An internship is not bundled into the course fee by default. Linkskill runs separate internship programmes (4–8 weeks, ₹2,000–₹5,000 programme fee depending on the track) where you work on live projects with mentorship and a certificate. These are learning internships, not stipend-paying jobs; a few paid opportunities may be offered to exceptional candidates. Ask us whether a current offer includes an internship.

12If I miss a class, do I get recordings or a repeat session?

Every live session is recorded and shared with you, so you never lose a class. If you miss several sessions, you can join the same topic in a parallel or later batch at no extra cost (free batch transfer).

Get it in writing. Ask for any of these answers on WhatsApp (+91 90874 96799) or email (info@linkskillacademy.live) and we will reply in writing, so you have a record before you pay. Be cautious of any institute that promises "100% placement" without naming companies or numbers. Get these answers on WhatsApp →
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