🎯 Course Overview
Comprehensive data science course covering the entire pipeline from data collection to model deployment.
- Duration: 16 weeks (4 credit hours)
- Prerequisites: Basic programming and statistics
- Languages: Python, R, SQL
- Level: Intermediate to Advanced
In Development
UNIVERSITY OF DELHI SYLLABUS
📘 Course Curriculum
Unit-wise syllabus aligned with the University of Delhi curriculum.
Unit 1: Introduction to Data Science
- Data science lifecycle
- Types of data
- Tools and ecosystem
Unit 2: Data Wrangling and EDA
- Data cleaning and transformation
- Handling missing values
- Exploratory data analysis with pandas
Unit 3: Statistics and Probability
- Descriptive statistics
- Probability distributions
- Hypothesis testing
Unit 4: Data Visualization
- Principles of visualization
- Matplotlib and Seaborn
- Storytelling with data
Unit 5: Machine Learning and Big Data
- Supervised and unsupervised learning
- Model evaluation
- Introduction to big data tools
🛠️ Tools & Technologies
Industry-standard tools and platforms for data science:
- Python: NumPy, Pandas, Scikit-learn, TensorFlow
- Visualization: Matplotlib, Seaborn, Plotly
- Big Data: Apache Spark, Hadoop
- Cloud: AWS, Azure, Google Cloud
- Databases: SQL, MongoDB, Redis
- MLOps: Docker, Kubernetes, MLflow
🎯 Learning Outcomes
Upon completion, students will be able to:
- Master the complete data science workflow
- Implement machine learning algorithms
- Create compelling data visualizations
- Process big data using distributed computing
- Deploy models in production environments
- Communicate insights to stakeholders
📊 Assessment Methods
Project-based evaluation emphasizing real-world applications:
- Lab Assignments (35%): Hands-on data projects
- Course Projects (30%): Real-world case studies
- Mid-term Exam (15%): Theoretical concepts
- Final Project (20%): Capstone project
🌟 Career Opportunities
Prepare for high-demand data science roles:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Developer
- Research Scientist
- Product Manager (Data)