
Discover foundations of data analysis for high schoolers, covering data types, cleaning, and analysis processes, and gain hands-on skills with Excel, SQL, Python, plus real-world projects, data visualization, and storytelling.
Learn how data analysis collects, organizes, and interprets data to reveal patterns and guide decisions across everyday life and business, using the forge method.
Explore real world data analysis through case studies in e-commerce, sports, healthcare, and government, showing how data turns raw information into smarter decisions and insights.
Explore qualitative data, descriptive and non-numerical, and quantitative data, numerical and measurable, with examples and visualization tips. Learn to distinguish nominal and ordinal, discrete and continuous data to guide analysis.
Learn the five-step process of data analysis: define the question, collect and clean data, analyze it with charts and calculations, and interpret findings to inform decisions.
Explore essential data analysis tools, from spreadsheets and SQL to Python, Pandas, and notebooks, and visualize results with Tableau or Power BI for clear, stakeholder-friendly insights.
Develop a great data analyst by mastering core skills like cleaning and organizing data, asking focused questions, and communicating findings clearly using Excel, SQL, Python, and Tableau/Power BI.
Explore where data comes from, including surveys, sensors, APIs, and internal systems, and distinguish primary versus secondary and structured versus unstructured data to guide cleaning and analysis.
Practice cleaning and organizing data by handling missing values, standardizing formatting and data types, and using Excel fixes like trim, proper, iferror, and data validation.
Explore key data file types and tools, including CSV, Excel, JSON, and SQL, and learn when to use each, import data, and perform cleanups for professional analysis.
Explore the basics of Excel and Google Sheets, including sorting, filtering, formulas, pivot tables, and charts for cleaning, exploring, and presenting data.
Learn SQL, the universal language for querying databases, using select, where, order by, and group by. Analyze customer data, state values, and purchase amount to reveal insights and support decisions.
Explore ethics and bias in data, emphasizing consent, representation, and responsible analysis to prevent misuse and protect privacy.
Learn Python for data analysis using pandas and matplotlib, load and clean datasets, summarize with describe and aggregates, and visualize trends with line and bar charts.
Explore a real analysis walkthrough that turns messy data into actionable insights using pandas and matplotlib, covering loading, cleaning, eda, and visualization of sales or survey data.
Explore Tableau and dashboards to visualize data with a drag-and-drop, no-code interface. Learn core features, interactivity, and when to use Tableau for quick insights, business storytelling, and executive dashboards.
Choose a dataset from sources like Kaggle, Data.gov, or the UCI repository and prepare it in a notebook. Analyze, clean, and visualize data to draw conclusions and share findings.
Recap how structured and unstructured data differ, and how Excel, SQL, and Python clean, analyze, and visualize data as stories guiding ethical decisions.
Welcome to Introduction to Data Analytics for High Schoolers. This rich course is designed for teenagers who are inquisitive about this great field of data and its enormous potential. Throughout the two-hour course, you will be introduced to the mainstays of concepts and techniques that set the stage for data analytics.
Starting with an overview of what data analytics is and why it matters, we move into the types of data and the process of how raw information is transformed into meaningful insights. You will learn about some essential tools and techniques that are used in the collection and cleaning of data, so that you can handle real-world datasets.
Next, we will guide you through basic data analysis methods, including descriptive statistics and data visualization. With tools like spreadsheets that are familiar to you, you will get hands-on experience in analyzing and presenting data effectively.
Our course also highlights interesting real-world applications of data analytics in various industries, ranging from healthcare to sports. You will understand how data-driven decisions are changing the world around us.
Finally, we touch on some of the possible careers in data analytics and explore what skills and education are required in this exciting area of opportunity. Join us on your data analytics adventure, setting a strong foundation for your future in this dynamic field!