Data Science

Data Science — Course #403 · #1 Ranked Job

The World's

Sexiest Job 🔬

Data Science combines statistics, programming, and domain expertise to extract knowledge from data. Master Python, ML, deep learning, NLP, big data, and cloud deployment — building the complete skill set companies pay ₹10–40+ LPA to hire.

Python Pandas & NumPy Machine Learning Deep Learning NLP SQL Big Data & Spark Cloud — AWS/GCP MLOps Data Visualization

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Data Science — ML Model Pipeline

from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import StandardScaler
pipe = Pipeline([
  ('scaler', StandardScaler()),
  ('clf', RandomForestClassifier(
     n_estimators=200, max_depth=10))
])
pipe.fit(X_train, y_train)
score = pipe.score(X_test, y_test)

60K+

Jobs

#1 Demand

42 hrs

Duration

Video content

Modules

Full syllabus

Cert

Included

Industry recognised

24/7

Support

Expert guidance

What You Master

The Complete Data Science Skill Set

From Python and ML to deep learning, NLP, big data, and cloud model deployment at scale.

🔬

Machine Learning — End-to-End Pipelines

Build complete ML pipelines — data ingestion, cleaning, feature engineering, model training, evaluation, and deployment. Master Scikit-learn, cross-validation, hyperparameter tuning, ensemble methods (Random Forest, XGBoost, LightGBM), and model interpretability with SHAP and LIME for production-grade systems.

Sklearn Pipelines Random Forest XGBoost Cross-Validation SHAP/LIME Feature Eng Model Serving A/B Testing

🧠

Deep Learning & NLP

CNNs, RNNs, LSTMs, Transformers, BERT, GPT. Build NLP pipelines for sentiment analysis, text classification, and chatbots.

⚡

Big Data & Cloud

Apache Spark, Hadoop, AWS SageMaker, GCP BigQuery — process terabytes of data and deploy at cloud scale.

🚀

MLOps & Deployment

Flask, FastAPI, Docker, Kubernetes. Deploy ML models to production with CI/CD, monitoring, and retraining pipelines.

Docker FastAPI MLflow

Syllabus

Course Curriculum

10 expert-designed modules — from Python basics to production ML deployment and cloud.

What is Data Science & interdisciplinary overview
Applications across Healthcare, Finance, Retail, Tech
Data Science vs. Data Analytics vs. Machine Learning
Tools Overview — Python, R, SQL, Jupyter, Colab

Python Basics — Variables, Data Types, Control Flow
Functions, Modules & File Handling
NumPy — Arrays, Broadcasting, Linear Algebra
Pandas — DataFrames, Groupby, Merge, Apply
Matplotlib & Seaborn — Data Visualization

Data Cleaning — Missing Values, Duplicates
Feature Engineering — Scaling, Encoding, Transformation
Handling Outliers & Class Imbalance
Normalization & Standardization
Exploratory Data Analysis (EDA) & Profiling

SELECT, JOINs, Aggregations, Window Functions
Subqueries & CTEs for complex analysis
Indexing & Query Optimization
Integration with Python — pandas read_sql

Descriptive Statistics & Probability Theory
Bayes Theorem & Probability Distributions
Inferential Statistics — Hypothesis Testing, p-values
Correlation, Regression & ANOVA

Supervised vs. Unsupervised Learning
Linear & Logistic Regression
Decision Trees, Random Forest, XGBoost
SVM, KNN & Naive Bayes
Model Evaluation — Accuracy, Precision, Recall, F1, AUC-ROC

Neural Networks & Backpropagation
TensorFlow & Keras — Building Models
CNNs for Image Classification
RNNs/LSTMs for Sequences
Transfer Learning & Fine-Tuning

Text Preprocessing — Tokenization, Stemming, Lemmatization
Word Embeddings — Word2Vec, GloVe
Transformers — BERT, GPT, and Hugging Face
Sentiment Analysis & Text Classification

Introduction to Big Data & Apache Hadoop
Apache Spark for Distributed Processing
Cloud Platforms — AWS SageMaker, GCP Vertex AI
Deploying ML Models on Cloud

End-to-End DS Project Workflow
Model Deployment with Flask & FastAPI
MLOps — MLflow, DVC, CI/CD for ML
Capstone Project — Real-World Data Science Application

Career Outcomes

Data Science Careers in 2026

Harvard Business Review called it "The Sexiest Job of the 21st Century" — and demand has only grown. With 60,000+ openings and salaries reaching ₹40 LPA+, Data Science remains the premium career in tech.

₹10–40L

India Avg LPA

$100K–$180K

USA Avg

60K+

Active Jobs

#1 Ranked

Dream Job

Data Scientist

Build predictive models, run experiments, and generate insights that drive product and business strategy

₹12–35 LPA · $100K–$165K USA

Machine Learning Engineer

Design, build, and deploy ML systems at scale — from model training to production APIs

₹15–40 LPA · $115K–$185K USA

Data Engineer

Build data pipelines, warehouses, and lakes that power ML models and analytics platforms

₹12–32 LPA · $105K–$160K USA

AI Product Manager

Lead AI product strategy — translate business problems into ML solutions with cross-functional teams

₹18–50 LPA · $130K–$220K USA

The World's

Sexiest Job 🔬

The Complete Data Science Skill Set

Course Curriculum

Data Science Careers in 2026

Ready to Become a Data Scientist?