Data Science

Master the art of extracting insights from data using statistical analysis, machine learning, and visualization techniques.

Data Analysis Fundamentals

  • Python for Data Analysis
  • Pandas & NumPy
  • Data Cleaning
  • Exploratory Analysis

Data Visualization

  • Matplotlib & Seaborn
  • Interactive Plots
  • Dashboard Creation
  • Storytelling with Data

Statistical Methods

  • Descriptive Statistics
  • Inferential Statistics
  • Hypothesis Testing
  • Regression Analysis

Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Model Selection
  • Model Evaluation

Big Data Analytics

  • Hadoop Ecosystem
  • Spark Analytics
  • Data Warehousing
  • ETL Processes

Data Science in Production

  • Model Deployment
  • Pipeline Building
  • MLOps Basics
  • Project Management

What You'll Learn

Data Analysis

Extract meaningful insights from complex datasets

Machine Learning

Build predictive models and algorithms

Practical Skills

Work on real-world data science projects