Data Scientist Course & Curriculum

NCPL's hands-on Data Scientist training — full curriculum, real projects, certification prep, and job placement support. We train, mentor and place you.

Module 1: Data Analysis & Statistics

12 hours: Master statistical foundations and data analysis

  • Descriptive and Inferential Statistics
  • Probability Distributions & Sampling
  • Hypothesis Testing & A/B Testing
  • Correlation & Causation Analysis
  • Outlier Detection Techniques
  • Missing Value Strategies
  • Data Quality Assessment

Module 2: SQL & Data Management

13 hours: Database operations and query optimization

  • SQL Fundamentals - SELECT, JOIN, GROUP BY
  • Advanced Queries - Window Functions, CTEs
  • Stored Procedures & Functions
  • Query Optimization Techniques
  • Database Design & Normalization
  • Python Integration with SQLAlchemy
  • Schema Design Best Practices

Module 3: Machine Learning Fundamentals

13 hours: Build and deploy predictive models

  • Supervised Learning - Regression & Classification
  • Decision Trees & Random Forests
  • Gradient Boosting Algorithms
  • Unsupervised Learning - Clustering & PCA
  • Deep Learning Basics - Neural Networks
  • Model Evaluation Metrics
  • Model Interpretability (SHAP, LIME)

Module 4: Big Data & Cloud Platforms

12 hours: Process massive datasets using cloud technologies

  • Apache Spark - DataFrames & RDDs
  • Spark SQL & Optimization
  • Azure Databricks & Synapse
  • AWS - S3, EMR, SageMaker
  • Google Cloud - BigQuery, Vertex AI
  • Stream Processing Concepts
  • Scalable Data Solutions