Available courses

SQL

SQL

This course is designed to equip aspiring data analysts with practical SQL skills essential for extracting, transforming, and analyzing data. Through a structured, hands-on approach, students will progress from SQL basics to advanced querying techniques, including aggregation, joins, subqueries, and window functions.

By the end of the course, students will be able to confidently write efficient and optimized SQL queries to solve real-world data problems, support business intelligence, and prepare for data analyst roles.

Module 1: SQL Fundamentals
Module 2: Mastering Joins and Relationships
Module 3: Aggregation and Grouping
Module 4: Subqueries and CTEs
Module 5: Analytical and Window Functions
Module 6: Data Manipulation and Table Operations
Module 7: Real-World Case Studies (Mini Projects)
Module 8: Query Challenges

SQL & POWER BI

SQL and Power BI for Data Analysis

This course is designed to equip students with the skills required to manage and analyze data effectively using SQL (Structured Query Language) and Power BI, two of the most essential tools in data analysis. By the end of the course, students will have a solid foundation in writing SQL queries for data extraction, manipulation, and analysis, as well as the ability to create compelling visualizations and reports using Power BI.

Module 1: Introduction to Databases and SQL
Module 2: Basic SQL Commands
Module 3: Advanced SQL Queries
Module 4: SQL for Data Manipulation and Design
Module 5: Introduction to Power BI
Module 6: Power BI for Data Visualization
Module 7: Power BI for Data Analysis
Module 8: Integrating SQL with Power BI
Module 9: Power BI Reporting and Sharing
Module 10: Capstone Project

Python and SQL

This course is designed for beginners who wish to learn the basics of Python and SQL. In this hands-on course, students will learn how to work with Python for data manipulation and gain an understanding of how to query relational databases using SQL. The course follows a learning-by-doing model, where each module comes with a practical use case to help you grasp key concepts. By the end of this course, students will be able to write Python programs for real-world tasks and execute basic SQL queries to manage and retrieve data from databases.

Module 1: Introduction to Python
What is Python?
Python installation and setup
Python IDEs (Integrated Development Environment)
Variables and Data Types
Basic operators (Arithmetic, Comparison, Logical)
Input and Output in Python
Conditional Statements (if, elif, else)
Python Control Flow
Loops: for, while
Break and Continue
List Comprehensions
Module 2: Python Functions and Data Structures
Functions in Python
Defining Functions
Lambda Functions
Recursion
Lists, Tuples, and Dictionaries
Lists: Creating, Indexing, Slicing, and Modifying
Tuples: Immutable Data
Dictionaries: Key-Value Pairs
Working with Strings and File I/O
String Manipulation: Slicing, Joining, Splitting
Reading and Writing Files
Exception Handling in Python
Module 3: Introduction to SQL
Introduction to Databases
What is a Database?
Types of Databases
Introduction to Relational Databases
SQL Basics
SQL Data Types and Tables
SQL Data Types
Creating Tables in SQL
Inserting Data into Tables
Selecting Data from Tables
SQL Queries and Joins
Filtering Data
Sorting Data
Joining Tables 
Module 4: Advanced SQL and Python-Database Integration
Advanced SQL Queries
Aggregating Data
Grouping Data
Subqueries and Nested Queries
Working with Python and SQL
Connecting Python to SQL Database using sqlite3
Executing SQL Queries through Python
Fetching and Displaying Data from SQL to Python
Inserting Data from Python to SQL
Module 5: Capstone project
 

PySpark - Big Data Processing with Apache Spark

Welcome to the PySpark course! This course is designed to give you a comprehensive understanding of how to process big data using Apache Spark, with a focus on the Python API (PySpark). Whether you're new to big data or have experience with other tools, this course will equip you with the skills to work with large datasets efficiently and effectively.

Module 1: Introduction to Apache Spark and PySpark
Module 2: Working with RDDs (Resilient Distributed Datasets)
Module 3: DataFrames and Spark SQL
Module 4: Spark Data Processing and Transformations
Module 5: Handling Unstructured Data with PySpark
Module 6: Machine Learning with Spark MLlib
Module 7: Spark Streaming
Module 8: Optimizing PySpark and Final Project

Deep Learning

Welcome to Deep Learning Fundamentals! This course is designed to introduce you to the world of deep learning, one of the most powerful subsets of artificial intelligence (AI). Whether you're new to the field or looking to deepen your understanding, this course will help you grasp the essential concepts and tools required to build, train, and deploy deep learning models.

Module 1: Introduction to Deep Learning and Neural Networks
Module 2: Fundamentals of Neural Networks: Perceptrons and Backpropagation
Module 3: Convolutional Neural Networks (CNNs)
Module 4: Recurrent Neural Networks (RNNs) and LSTMs
Module 5: Generative Adversarial Networks (GANs)
Module 6: Advanced Techniques: Transfer Learning and Fine-Tuning
Module 7: Optimizing Neural Networks: Regularization and Hyperparameter Tuning
Module 8: Final Project and Model Deployment

Machine Learning

Welcome to the Machine Learning course! This course is designed to provide a solid foundation in the principles and techniques of machine learning. Whether you are new to the field or looking to enhance your skills, this course will guide you through the core concepts, algorithms, and practical applications of machine learning.

Module 1: Introduction to Machine Learning and Python for ML
Module 2: Data Preprocessing and Feature Engineering
Module 3: Supervised Learning - Regression
Module 4: Supervised Learning - Classification
Module 5: Unsupervised Learning
Module 6: Model Evaluation and Hyperparameter Tuning
Module 7: Advanced Machine Learning Algorithms
Module 8: Final Project and Model Deployment

Introduction to Web Development

Welcome to the Introduction to Web Development course! This beginner-friendly course is designed for students who want to learn how websites are made, even with no prior coding experience.

By the end of this course, students will be able to create their own simple websites using modern web technologies.

Module 1: Introduction to Web Development
Module 2: HTML – Building the Structure
Module 3: CSS – Styling the Website
Module 4: Basic JavaScript – Adding Interactivity
Module 5: Project Work

Python

Python Programming

Welcome to our Python Programming Course, designed for beginners. Whether you want to kickstart your coding journey or enhance your programming skills, this course will help you master Python from the ground up.

Module 1: Introduction to Python
Module 2: Basic Python Syntax
Module 3: Control Flow
Module 4: Functions
Module 5: Data Structures
Module 6: Working with Files
Module 7: Object-Oriented Programming (OOP)
Module 8: Error Handling and Exceptions
Module 9: Capstone Project

Power BI

This Power BI course is designed to equip learners with the skills to analyze data effectively, create interactive reports, and build insightful dashboards. The course covers essential concepts of data visualization, data modeling, and business intelligence, making it suitable for beginners and professionals looking to enhance their data analytics expertise.

Module 1: Introduction to Data and Business Intelligence  
Module 2: Getting Started with Power BI Desktop  
Module 3: Power Query – Data Cleaning & Transformation  
Module 4: Data Modeling  
Module 5: DAX – Data Analysis Expressions  
Module 6: Visualizations in Power BI  
Module 7: Advanced Visualizations and Formatting  
Module 8: Power BI Service (Cloud)  
Module 9: Power BI and Excel Integration  
Module 10: Row Level Security & Permissions  
Module 11: Power BI with Real-Time Data  
Module 12: Capstone Project