AI-Enhanced Data Analysis: From Raw Data to Deep Insights

This course builds on foundational skills, focusing on advanced data exploration, analysis, and visualization using Excel Copilot. Learners will leverage Copilot to conduct in-depth data analysis, integrate external data sources, and uncover meaningful insights through advanced formulas, conditional formatting, and PivotCharts. By the end of this course, learners will be able to generate comprehensive reports with visualizations, including PivotCharts, to summarize complex data trends and patterns. They will also develop and optimize prompts to streamline their data analysis workflow, enabling them to transform raw data into actionable insights. By the end of the course, you’ll be able to: - Perform comprehensive data analysis and integrate external data sources using Excel Copilot. - Apply advanced formulas, conditional formatting, and data visualization techniques, including PivotCharts, to uncover key insights. - Develop and optimize Copilot prompts to streamline data analysis workflows. - Create detailed reports that summarize findings and visualizations for effective data-driven decision-making. Tools you’ll use: - Microsoft Excel - Copilot in Excel Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

This course focuses on data cleaning and processing using Copilot in Excel. It empowers you to identify and correct data errors, handle missing values and duplicates, and standardize data types. You will explore advanced text manipulation, column operations, and external data integration, leveraging Copilot for efficient data transformation. Additionally, you will design structured data workflows by developing effective prompts for Copilot, enabling you to pose clear questions that guide your analysis. Through practical modules, you’ll develop skills in data organization, error identification, and cleaning strategies. By the end of this course, you will enhance data accuracy and reliability, ensuring your datasets are analysis-ready. Elevate your data processing capabilities and gain a competitive edge in data-driven decision-making. By the end of the course, you’ll be able to: - Identify and address common data errors using Copilot in Excel. - Apply comprehensive data cleaning techniques to prepare datasets for analysis. - Manipulate and transform data efficiently with Copilot. - Implement data organization strategies for improved analysis readiness. Tools you’ll use: - Microsoft Excel - Copilot in Excel Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

This course introduces you to the basics of Microsoft Excel and its powerful Copilot feature, equipping you with essential skills for efficient data handling and analysis. You will learn to navigate Excel’s interface, apply fundamental formulas and functions, and develop prompt engineering techniques to leverage Excel Copilot for various tasks. By the end of this course, you will have a strong foundation in Excel, enabling you to perform basic data manipulations and utilize Copilot to streamline your workflow. By the end of the course, you’ll be able to: - Activate and effectively use Excel Copilot for basic tasks and queries. - Navigate the Excel interface and utilize basic features efficiently. - Apply fundamental Excel formulas and functions to perform calculations and data manipulation. - Develop basic prompt engineering skills for Excel Copilot. Tools you’ll use: - Microsoft Excel - Copilot in Excel Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

This course provides in-depth knowledge of analytical techniques and effective data visualization using Power BI. By the end of this course, you will be able to: - Explain different analysis methods (correlation, time series, cluster, etc.) and their appropriate use. - Analyze data through visualizations in Power BI using different analysis methodologies - Leverage AI to explore data and gain insights. Here is a breakdown of what you'll cover: You will begin with statistical analysis fundamentals, master correlation, and exploratory data analysis, and understand business problems. As the course progresses, you will explore advanced topics like cluster analysis, cohort analysis, and geospatial data visualization. Additionally, you will learn about business intelligence concepts, including building time intelligence functions, conducting time series analysis, and leveraging AI-driven tools like key influencers and decomposition trees. With a strong emphasis on practical application, the course culminates in a hands-on final project, allowing you to synthesize your skills in a real-world scenario, making data-driven decision-making clear and impactful. This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones. Before starting this course, you should be proficient in building data models, maintaining relationships in Power BI, and writing DAX expressions to enhance analysis. You should also understand the ethical implications of handling data. This knowledge will be essential as you learn advanced data analysis techniques and explore data through Power BI's visualizations, supported by AI-driven insights.