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Data Analysis and Visualization Class

Data Analysis Cohort - 2025

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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

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Software Development Class

Software Development Class - 2025

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### **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 

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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

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Dive into the core essentials with our premier 3-month Live class plus Xternship program designed to equip you with the practical skills you need cohort program, designed to equip you with practical skills ranging from Operating Systems to Web Application Security, ensuring you are prepared for the workforce.

This course covers Operating Systems and Security, Fundamentals of Cryptography, and Web Application Security. Upon completion, you will be equipped to pursue Specialist or Junior Cybersecurity roles.

Cybersecurity is a rapidly expanding field, characterized by a strong demand for skilled professionals, attractive salary packages, and ample opportunities for career progression.

Introduction to Cyber Security

Cyber Hygiene, Operating systems and security

Fundamentals of Cryptography and Web Application Security

Legal and Ethical Aspects of Cyber Security

CyberSecurity Foundation Cohort - Xtern

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Dive into the core essentials with our premier 4-month Cohort  program designed to equip you with the practical skills you need, ranging from operating systems to web application security, ensuring you are prepared for the workforce.

This course covers Operating Systems and Security, Fundamentals of Cryptography, and Web Application Security. Upon completion, you will be equipped to pursue specialist or junior cybersecurity roles.

Cybersecurity is a rapidly expanding field, characterised by a strong demand for skilled professionals, attractive salary packages, and ample opportunities for career progression.

Introduction to Cybersecurity & Its Importance
Understanding Cyber Threats, Attack Vectors & Security Principles (CIA Triad)
Cybersecurity Frameworks & Compliance (GDPR, NIST, ISO 27001)
Fundamentals of Networking: IP Addressing, Subnetting & VLANs
Firewalls, VPNs, IDS/IPS & Wireless Security

MODULE 1: Cybersecurity & Networking Essentials

Understanding Security Risks & Risk Management Frameworks
Business Impact Analysis (BIA) & Security Controls
Introduction to Cryptography: Symmetric & Asymmetric Encryption
Public Key Infrastructure (PKI), SSL/TLS, and Digital Certificates
Cryptographic Hashing & Modern Encryption Techniques

MODULE 2: Security Risk Management & Cryptography

Identity & Access Management (IAM) Fundamentals (AAA, MFA, SSO, RBAC)
Role-Based Access Control (RBAC) & Privileged Access Management (PAM)
Vulnerability Scanning: Nessus, OpenVAS, Nikto & Nmap
Security Patch Management & System Hardening Techniques

MODULE 3: Identity Management & Vulnerability Assessment

Penetration Testing Methodologies & OWASP Top 10
Ethical Hacking & Web Application Security Basics
Incident Response Lifecycle & Malware Analysis
Digital Forensics & Post-Incident Reporting



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