Microsoft Data Analysis with SQL, Excel & Power BI

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 forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you will learn report design and formatting in Power BI, which offers extraordinary visuals for building reports and dashboards. Additionally, you will learn how to use report navigation to tell a compelling, data-driven story in Power BI. You will explore how to get a statistical summary for your data and how to create and export reports in Power BI. You will also perform advanced analytics in Power BI to get deeper and more meaningful data insights. After completing this course, you'll be able to: ● Recognize the different types of visualizations in Power BI ● Add visualizations to reports and dashboards ● Apply formatting choices to visuals ● Add useful navigation techniques to the Power BI report ● Design accessible reports and dashboards ● Use visualizations to perform data analysis This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.

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.

Build on your foundational SQL knowledge by learning data manipulation techniques in SQL Server. This course focuses on using INSERT, UPDATE, and DELETE statements to modify database contents while maintaining data integrity through proper transaction management. You'll learn to implement transaction control mechanisms, understand isolation levels, and prevent common concurrency issues. Through practical examples, you'll implement error handling strategies and explore the principles of ACID compliance essential for reliable database operations. The course also demonstrates how generative AI can help optimize complex SQL operations and troubleshoot transaction issues. By the end, you'll confidently perform data modifications while ensuring database consistency—crucial skills for any database professional.