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Data Science with Python

Comprehensive data science course covering analysis, visualization, and machine learning with Python.

12 weeks
90 students
4.8 rating
Advanced
₹19,999

Course Overview

Transform raw data into actionable insights. Learn the complete data science pipeline from data collection to machine learning model deployment.

What You'll Learn

Data manipulation with Pandas and NumPy
Data visualization with Matplotlib and Seaborn
Statistical analysis and hypothesis testing
Machine learning algorithms
Feature engineering and selection
Model evaluation and validation
Deep learning basics
Real-world project implementation

Course Curriculum

Week 1: Data Science Fundamentals
  • Python for Data Science
  • Jupyter Notebooks
  • NumPy Basics
  • Data Types
Week 2: Data Manipulation with Pandas
  • DataFrames
  • Data Cleaning
  • Merging & Joining
  • Grouping
Week 3: Data Visualization
  • Matplotlib
  • Seaborn
  • Plotly
  • Interactive Visualizations
Week 4: Exploratory Data Analysis
  • Statistical Summaries
  • Correlation Analysis
  • Distribution Analysis
  • Outlier Detection
Week 5: Statistics for Data Science
  • Descriptive Statistics
  • Probability
  • Hypothesis Testing
  • Confidence Intervals
Week 6: Machine Learning Introduction
  • Supervised Learning
  • Unsupervised Learning
  • Scikit-learn
  • Model Selection
Week 7: Regression Analysis
  • Linear Regression
  • Polynomial Regression
  • Regularization
  • Model Evaluation
Week 8: Classification
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • SVM
Week 9: Clustering & Dimensionality
  • K-Means
  • Hierarchical Clustering
  • PCA
  • t-SNE
Week 10: Feature Engineering
  • Feature Selection
  • Feature Creation
  • Scaling
  • Encoding
Week 11: Model Evaluation
  • Cross-Validation
  • Metrics
  • Hyperparameter Tuning
  • Bias-Variance
Week 12: Deep Learning Basics
  • Neural Networks
  • TensorFlow/Keras
  • CNN Basics
  • RNN Basics
Week 13: Capstone Project
  • Project Planning
  • Data Collection
  • Analysis
  • Model Building
Week 14: Project Presentation
  • Results Analysis
  • Visualization
  • Presentation
  • Portfolio

Course Information

Prerequisites

  • Strong Python knowledge
  • Basic statistics
  • Mathematical thinking

Course Includes

  • Comprehensive curriculum
  • Real datasets
  • Capstone project
  • Career guidance
  • Industry certificate
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