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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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This comprehensive UI/UX Design Cohort program is designed to provide hands-on experience and the practical skills necessary to excel in the industry. Over four months, you will explore core UI/UX design concepts, including user research, wireframing, prototyping, and usability testing.

The course focuses on building a strong design foundation, understanding industry tools and workflows, and creating user-centered designs. By the end of the program, you'll be equipped with the confidence and expertise to apply for roles such as Junior UI/UX Designer, Junior Product Designer, or Junior UX Researcher.

What You’ll Learn: 

• Fundamentals of UI/UX Design – Understand user needs, research methods, and key design principles.

• Wireframing & Prototyping – Develop interactive prototypes and conduct usability tests.

• Visual & Interaction Design – Create engaging user interfaces while considering accessibility.

• Portfolio & Career Prep – Work on real-world projects to build a strong portfolio and prepare for job applications.

This program is perfect for aspiring UI/UX designers looking to start their careers or enhance their current skills in a rapidly growing field with exciting opportunities.

The first month is designed to introduce students to the fundamental principles of UI/UX design. It covers the differences between UI and UX, core design concepts, and an overview of the product design process. Students will also learn how to interpret Product Requirement Documents (PRDs) and design briefs. A significant focus is placed on UX research, including user and market research techniques. The month includes a mix of live classes, recommended video learning, and hands-on mini-projects to reinforce theoretical knowledge. 

Introduction to UI/UX and Research 

 Students dive deeper into the structural aspects of UI/UX design, learning about user flows, information architecture, and the design thinking process. They explore the Double Diamond framework, artificial intelligence (AI) in design, and different phases of design thinking. 

User Flow, Design Thinking, and UI Replication 

The third month focuses on transforming ideas into tangible designs through wireframing and prototyping. Students explore various types of wireframes (low-fidelity and high-fidelity), iterative UI design processes, and clickable prototyping.

Wireframing, Prototyping, and AI Integration

The final month is all about refining and validating designs through usability testing and accessibility considerations. Students learn how to conduct usability tests, gather feedback, and iterate on their designs for improved user experiences. They are also introduced to inclusive design principles, ensuring that their interfaces cater to diverse user needs, including those with disabilities. 

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