Getting Started with Data Analysis
Understand the foundational concepts of data analysis, including data types, sources, and the basic workflow used by analysts in their day-to-day work.
Read Guide →Learn business intelligence, analytics concepts, and data-driven decision making at your own pace
A structured learning path designed for beginners to build real skills
Start with core concepts like data types, sources, and collection methods. We cover what data actually is before moving to analysis techniques.
Understand mean, median, standard deviation, and correlation. These aren't just formulas—they're tools that help you understand patterns in data.
Discover how companies use dashboards, visualization tools, and BI platforms to turn data into actionable business decisions.
Build a practical foundation in data analysis and business intelligence
Learn to create clear, compelling charts and dashboards that communicate data stories effectively to stakeholders and decision makers.
Understand where data comes from—databases, APIs, files, sensors—and how to access, import, and organize it for analysis.
Master descriptive and inferential statistics to find meaning in numbers, identify trends, and test hypotheses about your data.
Explore popular business intelligence platforms like Tableau, Power BI, and others that professionals use to create interactive reports.
Learn how to structure data logically for analysis, understanding relationships, dimensions, and how data connects in real-world scenarios.
Discover how analysts influence business strategy by translating data insights into recommendations that drive real change.
Data skills are in demand across every industry. Companies aren't just collecting data anymore—they're using it to make better decisions, improve products, and stay competitive.
Organizations need people who understand data. Whether you're in finance, healthcare, retail, or tech, data analysis skills make you valuable.
Data analysis isn't theoretical—it's about answering real questions. Why did sales drop? Which customers are most valuable? What's the trend?
Understanding data fundamentals opens doors to machine learning, advanced analytics, and data science. You're building a strong base.
Real experiences from people building their data skills
"I wasn't sure where to start with data analysis. The fundamentals module broke everything down—now I actually understand what a pivot table does and why it matters. Been using it at work already."
"The business intelligence section was exactly what I needed. I've been trying to understand how my company's dashboard works, and now the metrics actually make sense. Really helpful stuff."
"Don't expect to be a pro after going through this—it's fundamentals. But honestly, that's perfect. You're not drinking from a firehose. The pace is right and the explanations actually stick."
In-depth guides to build your understanding
Understand the foundational concepts of data analysis, including data types, sources, and the basic workflow used by analysts in their day-to-day work.
Read Guide →
An introduction to the software and platforms used in business intelligence, from visualization tools to data warehousing solutions that drive business decisions.
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Master the statistical concepts that form the backbone of data analysis—mean, median, standard deviation, correlation, and why they matter for interpreting data accurately.
Read Guide →Active Learners
From students to professionals building data skills
Hours of Content
Video lessons, guides, and hands-on exercises
Completion Rate
Learners who finish courses find them valuable
Countries
Supporting data learners across the USA and globally
Start learning data analysis fundamentals today. Whether you're exploring a new career or strengthening skills for your current role, we've got resources for you.