- Home
- SQL Fundamentals and Python for Data Analysis
SQL Fundamentals &
Python for Data Analysis
Unlock Data Power Through SQL and Python Techniques
Course Duration
8 Weeks (Weekend Classes)
Format
Instructor-led sessions with practical exercises & projects.
Total Sessions
16 (Two sessions per weekend)
Master Data with Comprehensive Modules
Part 1: SQL Fundamentals – The Language of Data Queries (Weeks 1-4)
Week 1: Introduction to SQL and Database Concepts
- Overview of databases and relational database concepts
- Introduction to SQL: Syntax and structure
- Setting up and connecting to a database environment
- Understanding SELECT statements
- Using WHERE clauses for filtering data
- Sorting data with ORDER BY
Week 2: Data Aggregation and Basic Operations
- Using SUM, COUNT, AVG, MIN, and MAX
- Grouping data with GROUP BY
- Filtering grouped data with HAVING
- Understanding different types of joins (INNER, LEFT, RIGHT, FULL)
- Writing multi-table queries
- Joining tables with ON conditions
Week 3: Advanced SQL Techniques
- Writing subqueries in SELECT, FROM, and WHERE clauses
- Correlated subqueries and their use cases
- Performance considerations with subqueries
- Using INSERT, UPDATE, and DELETE statements
- Understanding transactions and the use of COMMIT and ROLLBACK
- Best practices for data integrity and security
Week 4: Advanced Query Optimization & Practical Applications
- Indexes and their impact on query performance
- Understanding execution plans and query optimization strategies
- Using views for simplified querying
- Building a mini project using SQL concepts
- Applying SQL to real-world business data scenarios
- Q&A and review of SQL fundamentals
Part 2: Python for Data Analysis – Automate and Analyze at Scale (Weeks 5-8)
Week 5: Introduction to Python for Data Analysis
- Introduction to Python and setting up Python environments
- Writing Python scripts and using Jupyter Notebook
- Basic Python syntax, variables, and data types
- Understanding Python data structures (lists, dictionaries, sets, tuples)
- Looping and conditional logic
- Writing functions for code modularity
Week 6: Data Manipulation with Python
- Introduction to the Pandas library
- Reading data from CSV, Excel, and SQL databases
- Dataframes: Selection, filtering, and modification
- Handling missing data and data imputation
- Data transformation and normalization
- Combining and merging datasets
Week 7: Data Visualization and Exploratory Analysis
- Introduction to Matplotlib for basic plots (line, bar, scatter)
- Using Seaborn for advanced visualizations (heatmaps, pair plots)
- Customizing plots for better insights
- Understanding EDA and its importance in data analysis
- Identifying trends and outliers
- Statistical analysis and summary metrics
Week 8: Final Projects and Python Automation
- Writing scripts for automating repetitive tasks
- Scheduling Python scripts with task schedulers
- Creating automated reports using Python libraries
- Presenting final projects incorporating both SQL and Python skills
- Peer reviews and instructor feedback
- Wrap-up, Q&A session, and certificate distribution
Key Learning Outcomes
Learn to write efficient queries and manage relational databases effectively to handle business data. Gain hands-on experience with joins, subqueries, and optimization techniques.
Master Python libraries like Pandas, Matplotlib, and Seaborn for cleaning, analyzing, and visualizing data with ease. Build a solid programming foundation to enhance analytical workflows.
Create automated scripts to streamline repetitive tasks and build interactive reports. Learn techniques to save time and uncover actionable insights through Python tools.
Earn a certificate of completion and showcase your skills with a practical project. Impress employers with a portfolio highlighting your expertise in data analysis and automation.
Enroll Today and Start Your Data Journey!
With SQL Fundamentals and Python for Data Analysis, you’re not just learning skills—you’re building a career-ready toolkit. Get started now and become the go-to expert for data-driven decision-making in your field.
