Data Analytics for Students

Data sits at the center of every modern business decision, but having data doesn't automatically produce insight. For most students and early-career professionals, the missing piece isn't the data itself, it's a structured way to think about it, question it, and act on it. This course builds that foundation, equipping you with frameworks, tools, and critical thinking skills to work confidently with data. You'll work through a proven five-step problem-solving framework, moving from defining the right business question to delivering data-informed recommendations. You'll practice core analysis techniques in Excel, apply the four foundational stages of analytics, and build dashboards that surface insights at a glance. You'll also map the full range of data sources driving business strategy, from sales and marketing to psychographic and competitive intelligence, sharpening your judgment to select the right source for each decision. By the end of this course, you'll be able to apply a structured analytical framework to real business challenges, evaluate and interpret the data sources that drive meaningful decisions, and communicate findings that influence strategy with clarity and confidence.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.