Data Analysis image.png

Data Analysis and Visualization Class

Data Analysis Cohort - 2025

Rectangle 11 (1).jpg

Begin your journey with foundational knowledge crucial for analyzing and interpreting data effectively.

Our goal is to gain a strong foundation in the same tools used by professional data analysts across various industries. By the end of this course, you'll have the understanding you need to work comfortably with data, extract insights, and create impactful visualizations.

- Introduction to Excel for Data Analysis
- Data Cleaning and Formatting
- Pivot Tables and Charts
- Basic Statistical Analysis in Excel

Excel for Data Analysis

- Introduction to Databases and SQL
- Writing Basic to Advanced SQL Queries
- Data Aggregation and Joins
- Working with Large Datasets

SQL for Data Analysis

- Introduction to Python and Pandas
- Data Manipulation and Cleaning
- Exploratory Data Analysis (EDA)
- Data Visualization with Matplotlib and Seaborn

Python for Data Analysis

- Introduction to Power BI Interface
- Creating Interactive Dashboards
- Data Modeling and DAX Functions
- Connecting PowerBI to MSSQL
- Storytelling with Data

Power BI for Data Visualization

Data Analysis Cohort

image - soft dev.jpg

Software Development Class

Software Development Class - 2025

Software Development image.jpg

### **Software Engineering Beginner's Course with Darey.IO**

**Master Fullstack Web Development from Scratch!**

**This course is designed for absolute beginners who want to break into software engineering by learning how to build and deploy full-stack web applications. We focus on hands-on projects and use the same technologies that power modern applications.**

**By the end of this course, you'll have the confidence and skills to develop real-world applications using HTML, CSS, JavaScript, React, Git, and deployment strategies.**

📌 Objective: Build a strong foundation in web development with core frontend technologies.

🔹 HTML Basics

Understanding HTML structure and elements

Creating headings, paragraphs, links, images, and forms

Best practices for semantic HTML

🔹 CSS Fundamentals

Introduction to styling and layout techniques

CSS selectors, properties, and specificity

Responsive design with media queries

Flexbox and Grid for modern layouts

🔹 JavaScript Essentials

Variables, data types, and operators

Functions and event handling

Working with arrays and objects

Understanding the Document Object Model (DOM)

JavaScript ES6+ features (arrow functions, template literals, destructuring)

Module 1: Frontend Fundamentals

📌 Objective: Learn how to build dynamic, interactive applications using React.

🔹 Introduction to React

What is React and why use it?

Understanding JSX and React components

Functional vs. Class components

🔹 React State

Managing component state with useState

Handling user inputs and UI updates

Lifting state up and passing props

🔹 Fetching Data with useEffect

Understanding React lifecycle

Making API requests with fetch orCreate a "Hello World" React app. Axios

Handling loading and error states

 Module 2: Introduction to React

📌 Objective: Improve code quality, enhance styling, and master version control.

🔹 Explore Different Ways to Style React Applications

Inline styles vs. CSS files

CSS Modules vs. Tailwind CSS

Styled Components in React

🔹 Testing in React

Why testing is important

Writing unit tests with Jest and React Testing Library

Testing components and API calls

🔹 Git and GitHub Mastery

Understanding Git and version control

Cloning, committing, and pushing changes

Creating and merging pull requests

🔹 Installing and Configuring Git

Setting up Git on Windows/Mac/Linux

Connecting GitHub with SSH authentication

Module 3: Advanced React & Software Development Practices

📌 Objective: Apply all skills learned to build and deploy a full application.

🔹 Building and Deploying React Apps

Best practices for structuring React projects

Using React Router for navigation

State management with Context API

Module 4: Fullstack Development & Capstone Project

Software Development 

Data science Image 2 (1).png

The Data Science Track is a comprehensive 4-month cohort programme designed to provide a hands-on, practical foundation in data science. The course covers essential skills such as Python programming, data analysis, statistics, exploratory data analysis (EDA), data visualisation, and an introduction to machine learning. As a student, you will progress from basic programming concepts to implementing machine learning models and deploying these models using tools like Streamlit. The course also includes several mini projects and capstone projects that allow you to apply your skills to real-world problems.

Python Programming Basics 

Introduction to Object Oriented Programming 

Numpy and Pandas for data manipulation 

Basics of visualization in python 

Matplotlib and Seaborn for data visualization 

MODULE 1 & 2 

Descriptive Statistics 

Probability fundamentals 

Handling missing values and outliers 

Exploratory Data Analysis 

MODULE 3 & 4 

 Data distributions 

Sampling, estimations and Cental Limit Theorem 

Hypothesis testing and Statistical tests 

Data Preparation and feature engineering 

Machine learning algorithms 

Deployment on streamlit 

MODULE 5 & 6 

Data Science

Rectangle 10 (1).jpg

Dive into the core elements with our premier three-month, self-paced program designed to equip you with the practical skills you need—from mastering Linux administration to navigating cloud infrastructure with AWS. This course prepares you for a range of certifications, including those from AWS and the Linux Foundation.

Throughout the program, you'll delve into critical areas such as Cloud computing, Linux, Git, Containers, and Orchestrations. Upon completion, you'll be well-equipped to pursue positions such as Cloud Support Specialist or Junior DevOps Engineer.

DevOps serves as a critical bridge, enhancing efficiency and collaboration between IT and software development teams, leading to superior outcomes for businesses and their clients. Importantly, this field is accessible as it requires no prior coding experience.

In this program, you will delve into the realms of Linux, Git, and Cloud. The curriculum spans live sessions introducing Tech fundamentals to immersive projects focusing on practical applications of Git and Linux navigation.

TechOps Career Essential Course                            

During this program, you will explore AWS Cloud services and architecture, participate in hands-on task to apply theoretical knowledge, and involve yourself in real-world projects spanning various domains

AWS Solutions Architect

Delve deep into the realms of containers, Docker, and Kubernetes, building robust skills in managing Kubernetes orchestrated container workloads across major cloud providers such as AWS, Azure, and GCP.

DevOps Container Foundations 

DevOps Foundation - Selfpaced

Games Development image.png

This **Game Development 4 months Cohort**  is designed to take students from absolute beginners to proficient game developers. Over the course of four months, students will learn fundamental game development concepts, gain hands-on experience with Unity, and build a portfolio of mini-projects leading up to a capstone project.

The course covers essential topics such as Unity’s interface, C# scripting, working with assets, game mechanics, and UI/UX design, as well as advanced topics like physics, animations, and optimization. By the end of the bootcamp, students will have built a variety of games, including 2D and 3D projects, and will have the skills necessary to develop their own interactive experiences. 

Introduction to Game Development
Introduction to Unity
Unity Scripting
Basic 2D Game Dev

Module 1

Basics of 3D Game Development
UI and Sound Integration in Unity
Animation and Particle Effect
Advanced Scripting

Module 2

Game Documentation and Project Management
Basics of Virtual Reality Game Development
Basics of Augmented Reality Game Development
Debugging, Polishing and Optimization

Module 3

Module 4

Game Development

QA image 1 (1).png

This course is designed to take you from **beginner to advanced level** in **manual software testing**. You will learn **how to test applications, find and report bugs, and work with developers to improve software quality**.

By the end of this course, you will:

1.  Understand how software testing works
2.  Write and execute test cases
3. Find and report bugs using tools like JIRA
4. Test applications on different browsers and devices
5. Prepare for a career in software testing

This course is perfect for **beginners with no experience** and those looking to start a career in **Quality Assurance (QA)**.

What is Software Testing?
How Software is Developed (SDLC & STLC)Types of Testing – Functional & Non-Functional
Writing Test Cases – The Basics
Introduction to Exploratory Testing

Introduction to Manual QA (Beginner Level)

How to Execute Test Cases & Record Results Regression Testing – What It Is & Why It Matters 
How to Report Bugs Clearly Using JIRA for Bug Tracking 
Testing Websites & Mobile Apps

MODULE 2 – Running Tests & Reporting Bugs (Intermediate Level)

Testing on Different Browsers – Chrome, Firefox, Safari, Edge Mobile Testing – iOS vs. Android 
Understanding Agile Teams – How QA Works with Developers 
Test Planning & Managing Tests 
Finding Critical Bugs Before Release

MODULE 3 – Advanced Manual Testing (Advanced Level)

 Build a QA Portfolio (Test Cases, Bug Reports, Test Plans) 
Prepare for QA Job Interviews – Common Questions & Answers 
Resume Writing & LinkedIn Optimization 
How to Apply for QA Jobs & Start Your Career

MODULE 4 – Job Preparation

Quality Assurance

Website Thumbnail-1-2 1.jpg

This DevOps Essentials Cohort programme is designed to guide you as you start your journey into DevOps. With a project-based learning approach, you gain the principles, practices and implementation competency for executing the end-to-end modern software delivery process for any organisation as a DevOps engineer.

What You'll Learn:

· Source Code Management

· Linux System Administration

· Shell Scripting

· AWS Cloud Computing Fundamentals

· Continuous Integration & Deployment

· Containerization& Orchestration

· Infrastructure Provisioning

· Configuration Management

· System Monitoring


This training is for aspiring DevOps engineers who are looking to pursue a career in this revolutionary software engineering field or those looking to enhance their current skills in it.

Learn the foundational skills for version control, enabling efficient collaboration and code management across projects. Gain essential knowledge in Linux fundamentals and system administration to manage and troubleshoot server environments. Automate routine tasks and enhance productivity with efficient bash shell scripting techniques.

System Operation Essentials

Build efficient CI/CD pipelines with tools like Jenkins and GitHub Actions for streamlined software delivery. Understand the principles of cloud computing while gaining hands-on experience in AWS Identity and Access Management (IAM) and designing scalable, fault-tolerant cloud infrastructures on Amazon Web Services.

Integration Essentials 

Explore the use of Terraform for automation of infrastructure provisioning and Ansible for server administration management. Learn how to containerize applications using Docker and orchestrate them effectively with Kubernetes to manage and scale deployments seamlessly.

Runtime Essentials 

Leverage the use of Gatus for uptime monitoring, along with the use of Prometheus/Grafana stack for modern system monitoring and reliability, including insights into AI-driven DevOps practices.

School of Software Engineering

Why Choose the School of Software Engineering?

Explore Our Pathways

Your Roadmap to Success