What is the duration of the Data Science course at AlgoAcademy Chennai?

The Data Science course is 4 months long covering statistics, Python, machine learning, model evaluation and deployment. Live sessions run 3 days a week.

What is the difference between Data Analytics and Data Science?

Data Analytics focuses on interpreting existing data through dashboards and reports. Data Science goes deeper — it uses statistics and ML to build predictive models and automate decision-making.

What is the average salary for a Data Scientist in Chennai?

Entry-level data scientists in Chennai earn ₹6–12 LPA. Experienced data scientists with strong ML and deployment skills can earn ₹15–30 LPA.

Do I need a math background to learn Data Science?

Basic math (statistics, probability, linear algebra) is helpful but not required upfront. We teach all necessary math concepts in context as part of the curriculum.

What projects will I build in the Data Science course?

You will build a customer churn predictor, credit risk model, recommendation system, A/B test analyser and a full end-to-end pipeline deployed on the cloud.

🔬 Data Science Track

Data Science Course in Chennai — Statistics to Production ML

Go beyond analytics — build predictive models, run experiments, and deploy data science pipelines that businesses rely on.

View Syllabus ↓

7 Modulescovered

6+ Projectsbuilt

Python + Rtools

Data Scientistoutcome

📚 Course Syllabus

Data Science Skills You'll Master

Every module is outcome-driven — you build something real at the end of each one.

ProbabilityDistributionsInferenceBayesian basicsA/B testing

Apply probability to real-world scenarios

Run hypothesis tests on datasets

Design and analyze A/B experiments

Apply statistical thinking to real business problems

Multi-table mergesTime-series dataText dataPivot tablesGroupBy ops

Merge and reshape complex datasets

Handle time-series and text columns

Build reusable data pipelines

Handle any data format in a production pipeline

Supervised learningRegressionClassificationScikit-learnPipelines

Train, validate, and test ML models

Build end-to-end Scikit-learn pipelines

Evaluate models with proper metrics

Build and evaluate ML models end-to-end

EncodingScalingDimensionality reductionPCAFeature importance

Create meaningful features from raw data

Reduce noise and irrelevant columns

Improve model accuracy through better features

Improve any model by 15–30% through better features

Ensemble methodsXGBoostLightGBMStackingHyperparameter tuning

Apply gradient boosting models

Stack multiple models for better accuracy

Tune hyperparameters systematically

Build state-of-the-art predictive models

A/B testingCausal graphsConfoundersRCTsBusiness impact

Design statistically valid experiments

Isolate causal effects from correlations

Measure true business impact of changes

Run experiments like a senior data scientist at a tech company

Pickle/JoblibFlask APIStreamlitDocker basicsModel monitoring

Serialize and load ML models

Expose models via REST APIs

Deploy interactive apps for stakeholders

Deploy models as live, usable applications

🛠 Tech Stack

Data Science Tools & Frameworks

Industry-standard tools you'll use throughout this program — exactly what employers want.

🔬

Scikit-learn

ML models

⚡

XGBoost

Gradient boosting

🐼

Pandas

Data wrangling

📊

Seaborn

Visualization

🌐

Flask

API deployment

🎯

Streamlit

App deployment

📓

Jupyter

Experimentation

🐳

Docker

Containerization

💻 Real Projects

End-to-End Projects You'll Build

Portfolio-ready projects that demonstrate your skills to recruiters from day one.

PROJECT 01

Churn Prediction Pipeline

Full end-to-end pipeline: raw data → feature engineering → XGBoost model → Streamlit dashboard.

PandasXGBoostScikit-learnStreamlit

✅ Live deployed churn predictor

PROJECT 02

A/B Test Analysis Engine

Automate analysis of A/B experiments — sample size, significance, and effect size reporting.

SciPyPandasMatplotlibstatsmodels

✅ Reusable experiment analysis tool

PROJECT 03

Price Prediction API

Train a price prediction model and expose it as a REST API endpoint.

Scikit-learnFlaskPandasNumPy

✅ Deployed prediction API with JSON response

🎯 Transformation

Data Science Roles You'll Land

By the end of this program, you won't just have knowledge — you'll have career-changing proof.

🔬

Data Scientist

₹12L–₹28L roles at tech companies

🧪

Experiment Design

Run A/B tests like Google and Netflix

🤖

ML Proficiency

Build and deploy real predictive models

📈

Business Impact

Translate data into revenue decisions

🏢 Placement Network

Our Students Work Here

⚡ Next Batch Closing Soon — Limited Seats

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Join Data Science and build real-world skills that get you hired.

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Frequently Asked Questions

About the Data Science Course in Chennai

The Data Science course is 3 months long with live sessions covering statistics, machine learning, A/B testing and model deployment.

Basic maths knowledge is helpful. The course covers all required statistics and linear algebra concepts from the ground up before progressing to ML.

You will learn Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SQL and cloud deployment tools for end-to-end data science projects.

Data scientists in Chennai typically earn ₹6–15 LPA as freshers. With strong project experience and ML skills, salaries of ₹20 LPA and above are achievable.

Yes. You receive resume building, portfolio review, mock interviews and hiring support to land data scientist and analyst roles in Chennai and India-wide.