// “Embark on a thrilling journey into the realm of Python data science”
- Introduction to Python for Data Science
- Exploring Data with Pandas
- Data Aggregation and Visualization with Pandas
- Recommended Book: Python for Data Analysis" by Wes McKinney
// “Take your data wrangling skills to the next level with advanced techniques”
- Advanced Data Wrangling Techniques
- Time Series Analysis with Pandas
- Advanced Data Visualization with Pandas
Student Evaluation Committee - EVALUATION & NOMINATION
// “Learn how to say "Hello World" to the fascinating world of databases”
Introduction to SQL
- Overview of relational databases and SQL.
- Basic SQL syntax and data types.
- Querying data using SELECT statements.
- Filtering and sorting data with WHERE and ORDER BY clauses.
Manipulating Data with SQL
- Inserting, updating, and deleting data with INSERT, UPDATE, and DELETE statements
- Modifying table structures with ALTER TABLE
- Introduction to table relationships and JOIN operations
Aggregating and Grouping Data
- Using aggregate functions such as COUNT, SUM, AVG, MAX, and MIN
- Grouping data using GROUP BY and HAVING clauses
- Writing subqueries to perform advanced queries
Recommended Book
- SQL Queries for Mere Mortals" by John L. Viescas and Michael J. Hernandez
// “Prepare to level up your SQL skills and become a true SQL ninja!”
Advanced Querying Techniques
- Working with multiple tables using JOIN operations
- Understanding different types of JOINs (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN)
- Using subqueries and common table expressions (CTEs)
Database Design and Optimization
- Normalization principles and database design best practices.
- Indexing and optimizing SQL queries for performance
- Analyzing query execution plans and identifying bottlenecks.
Introduction to SQL Libraries in Python
- Recommended Book: "Python for Data Analysis" by Wes McKinney
- Overview of popular SQL libraries in Python (e.g., SQLAlchemy, SQLite3)
- Connecting to databases and executing SQL queries in Python
- Fetching and manipulating query results with Python
Student Evaluation Committee - EVALUATION & NOMINATION
// “Get ready for a dynamic fusion of SQL and Python!”
Data Manipulation with SQL in Python
- Inserting, updating, and deleting data using Python and SQL
- Performing advanced queries and joins in Python
- Handling transactions and error handling in SQL operations
ETL - SQL and Python Integration in Projects
- Overview on ETL.
- Integrating SQL databases with Python web frameworks (e.g., Flask, Django)
Recommended Book
- "Python for Data Analysis" by Wes McKinney
// “Embark on an enchanting journey into the realm of cloud computing with AWS Lambda and witness the magic of serverless architecture.”
Serverless Computing with AWS Lambda
- Introduction to serverless architecture
- Creating and deploying AWS Lambda functions
- Configuring event triggers and working with Lambda functions
Integrating AWS Services with Lambda
- Building serverless applications with AWS API Gateway
- Implementing RESTful APIs using Lambda and API Gateway
- Securing Lambda functions and managing permissions
Scaling and Monitoring with AWS Lambda
- Auto-scaling Lambda functions based on demand
- Monitoring and logging Lambda functions using CloudWatch
- Troubleshooting common issues and optimizing Lambda performance
Student Evaluation Committee - EVALUATION & NOMINATION
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FSD - “Data Visualization” Syllabus
// “Step into the world of data visualization with Power BI and unlock the power of visual storytelling.”
- Power BI Essentials: Introduction to Data Visualization
- Creating Interactive Visualizations in Power BI
- Advanced Visualization Techniques in Power BI
- Recommended book: "Information Dashboard Design: The Effective Visual Communication of Data" by Stephen Few
// “Dive deeper into the art of data storytelling using Power BI.”
- Designing Effective Dashboards in Power BI
- Storytelling with Data in Power BI
- Sharing and Presenting Power BI Visualizations
- Recommended book: "Data Storytelling: The Essential Data Science Skill Everyone Needs" by Mico Yuk
Student Evaluation Committee - EVALUATION & NOMINATION
// “The Final Project.”
During this phase, students start working on their final projects.
The SEF team act as consultants for the following:
- UI/UX
- Features Functionalities and Finalization
- Architecture and Infrastructure
- Code Cleaning and Documentation
- Deployment on AWS (EC2 instances)
- Github and ReadMe Publication
- Data Visualization and project demo
