Data Analysis

Learn to interpret data, extract insights, and support smarter business decisions

Created by Andrei Neagoie, Daniel Bourke

Course Overview

In every industry, data is constantly being collected — but it’s the analysis that brings value. The Data Analysis course is designed to teach you how to turn raw data into meaningful insights that drive informed decisions. With a practical and business-oriented focus, you’ll learn how to explore datasets, apply statistical methods, and use industry-standard tools to generate actionable results.

This course is ideal for anyone who wants to gain practical skills in working with data — even without a programming background.

What You Will Learn

You’ll explore key techniques and tools that make data analysis effective:

1. Foundations of Data Analysis
2. Understand the data lifecycle, types of data, and what makes data “clean” and usable.
3. Spreadsheet Analysis
4. Use Microsoft Excel or Google Sheets to organize, filter, and analyze data effectively.
5. Data Cleaning & Preparation
6. Identify errors, inconsistencies, and outliers; standardize and structure data.
7. Descriptive Statistics
8. Apply mean, median, mode, variance, and standard deviation to summarize datasets.
9. Data Visualization
10. Create charts, graphs, and dashboards that clearly communicate findings.
11. Pivot Tables & Advanced Excel Tools
12. Discover trends, sort categories, and automate analysis in large datasets.
13. Intro to SQL & Python (Optional)
14. Learn how databases and basic scripts can help automate and scale your analysis.
15. Interpreting Results & Reporting
16. Make evidence-based recommendations using clear visuals and storytelling.

Who This Course is For

Great for:

1. Beginners and non-technical professionals working with data
2. Small business owners and entrepreneurs
3. Students, interns, and early-career professionals
4. Marketing, operations, HR, and finance team members
5. Anyone looking to become more data-literate

Hands-On Learning Experience

You'll gain practical experience with real-world examples and interactive tasks:

1. Spreadsheet Projects: Analyze sales data, customer trends, and more
2. Cleaning Tasks: Work with messy data and prepare it for analysis
3. Visualization Challenges: Create compelling charts and dashboards
4. Reporting Exercises: Build presentation-ready summaries with insights
5. Mini Case Studies: Solve realistic business problems using data

Career Outcomes

By the end of the course, you’ll be equipped to:

1. Analyze data efficiently in spreadsheets or beginner platforms
2. Communicate insights through visuals and reports
3. Support business strategy with informed decisions
4. Apply for roles such as Data Analyst Assistant, Reporting Analyst, or Operations Support

Tools & Concepts Covered

You’ll become confident in using:

1. Excel or Google Sheets
2. Charts & Dashboards (bar, line, pie, combo, etc.)
3. Basic SQL Queries (optional)
4. Descriptive & Inferential Stats
5. Data Cleaning Techniques
6. Business Analysis Frameworks (KPIs, trend analysis, etc.)

Turn Data into Smart Decisions

Enroll in Data Analysis to develop the practical skills needed to work with data and support growth, strategy, and impact in any field.