In this lesson, students will develop practical skills in data analysis by mastering spreadsheet tools and SQL queries to organize, extract, and interpret data effectively. Additionally, they will learn how to create compelling visualizations and interactive dashboards with Tableau to communicate insights clearly and confidently.

In this lesson, students will explore essential data analysis tools, focusing on how spreadsheets and SQL help organize, manipulate, and analyze data effectively. They'll learn to apply the Awesome Framework to guide their analysis process, gaining foundational skills to derive insights and make data-driven decisions. By the end, learners will be equipped with practical knowledge of using spreadsheets and SQL within the context of data analysis.

In this lesson, students will explore the practical uses of spreadsheets in data analysis and management, including data entry, import, and organization. They will learn how to apply functions like SUM and AVERAGE, create visualizations such as charts, and utilize features like Conditional Formatting to analyze and interpret data effectively in both business and personal contexts.

In this lesson, students will learn the essential first steps of organizing and labeling data in Google Sheets to ensure clarity and accuracy. They will understand how to upload data, create descriptive headers, and improve data readability, laying a strong foundation for effective data analysis. By the end of the course, students will be prepared to confidently manage and prepare datasets for further analysis.

In this lesson, you'll learn essential techniques for filtering and sorting data in spreadsheets, empowering you to efficiently analyze large datasets. By mastering these skills in tools like Google Sheets, you'll be able to focus on relevant information, organize data effectively, and uncover meaningful patterns to support your data analysis projects.

In this lesson, students will understand the vital role of data cleaning in ensuring accurate analysis by addressing common issues like duplicates, missing values, and incorrect data. They will learn practical strategies for identifying, verifying, and resolving these data problems, enabling them to prepare high-quality datasets for reliable insights.

In this lesson, students will learn essential data formatting techniques to improve spreadsheet readability and facilitate efficient analysis. By mastering skills such as formatting numbers as currency, applying consistent date formats, and highlighting key data with bold text, learners will be equipped to present and interpret data more clearly. These foundational skills set the stage for more advanced data analysis in future lessons.

In this lesson, you'll learn how to understand and apply key functions in spreadsheets, such as sum, average, and median, to perform quick and efficient data analysis. You'll discover how to identify the components of functions and leverage them to analyze large datasets effectively. This foundational knowledge will prepare you for exploring more advanced statistical functions in future lessons.

In this lesson, you'll learn how to effectively use the SUM function in spreadsheets to perform essential data analysis tasks, such as calculating totals for sales, expenses, or other numerical data. You'll discover how to input the function using cell references and ranges, and see practical examples of summing data to gain insights. By mastering the SUM function, you'll enhance your ability to analyze and interpret data efficiently in any spreadsheet project.

In this lesson, students will learn how to understand and calculate the average (mean) and median using spreadsheet functions. They'll explore when to use each measure, especially in data with outliers or skewed distributions, and practice applying the AVERAGE and MEDIAN functions to analyze datasets efficiently. By the end, students will be able to accurately compute and interpret these key statistical measures within a spreadsheet environment.

In this lesson, students will learn how to use the MIN and MAX functions in Google Sheets to identify the lowest and highest values within a dataset. Through practical examples, they'll understand how to apply these functions to analyze data efficiently, setting a foundation for exploring more advanced spreadsheet techniques in future lessons.

In this lesson, students will explore the concept of correlations in data analysis, understanding how to identify and interpret relationships between variables—such as positive and negative correlations. They will learn how to use spreadsheets like Google Sheets to calculate correlation coefficients and visualize data trends, empowering them to analyze real-world data patterns effectively.

In this lesson, students will explore the significance of data visualization in analyzing and communicating data effectively. They will learn about different types of charts—including scatter plots, line graphs, bar charts, and pie charts—understanding how to create and customize each in Google Sheets to compare variables and reveal meaningful patterns.

In this lesson, students will learn how to identify and interpret trends and trendlines to visualize data patterns over time effectively. They will understand how to create and customize trendlines in charts to reveal insights in various data sets, enhancing their data analysis skills for informed decision-making.

In this lesson, you'll discover how to harness the power of SQL for data extraction and analysis within Google Sheets. You'll learn fundamental SQL concepts, gain hands-on experience writing queries, and explore essential functions to enhance your data analysis skills for more efficient and insightful spreadsheet management.