Mastering Power BI for Data Analytics & Storytelling

This course focuses on building a solid foundation in connecting and managing data using MS SQL Server and Power BI. Learners will gain practical knowledge of how to structure, format, and integrate databases for effective analysis and reporting in Power BI. Key learning outcomes include: - Structuring relational databases with MS SQL Server for seamless Power BI integration - Establishing secure and optimized data connections - Managing, cleaning, and transforming datasets - Understanding query folding, DirectQuery vs. Import, and performance considerations Designed for aspiring data analysts, business intelligence professionals, and database practitioners, this course supports the development of job-ready Power BI skills focused on enterprise-scale data workflows. Basic knowledge of databases is recommended but not mandatory. Join us on this journey to enhance your Power BI and MS SQL Server skills and elevate your analytical and design capabilities.

Learn Data Storytelling with Power BI is a practical course designed to help learners build strong foundations in data transformation, data modeling, and interactive visualizations using Microsoft Power BI. The course focuses on using structured data to create impactful stories that support better decision-making and business communication. It introduces key features of Power BI, including Power Query, DAX (Data Analysis Expressions), and Power BI Service, with an emphasis on real-world, industry-relevant applications. By the end of this course, you’ll be able to: • Explain the different data sources present in Power BI Desktop. • Demonstrate the use of Power Query Editor to clean and transform data. • Manipulate data with the DAX formula and depict stories by using different visualization techniques. • Apply Power BI Service features to elevate the quality of your Reports and implement Dashboards on Power BI Service. • Create Reports and Dashboards on Power BI service utilizing its prevalent features. • Implement Smart Narrative and Key Performance Indicators to enhance reports for a target audience. This course is designed for a diverse audience: freshers, data analyst, business analysts, business intelligence analyst and IT professionals who are looking to enhance their data analysis skills through Power BI. Prior experience with Microsoft Excel or spreadsheet applications can be beneficial when working with Power BI. Embark on an educational voyage to master Microsoft Power BI and enhance your skills in creating efficient Reports and Dashboards using the Power BI ecosystem.

This course is designed for professionals who want to practice projects that follow industry standards. The course consists of two projects, one of which deals with designing databases in Snowflake and connecting them with Power BI for analysis, and the other focuses on managing inventory and forecasting trends, which assist in decision-making. By the end of this course, you will be able to: 1. Explain Snowflake cloud Data Platform 2. Demonstrate the use of the Snowflake platform to store and manage data 3. Apply Power BI Service features to elevate the quality of your Reports and implement Dashboards 4. Create Paginated Reports and Dashboards on Power BI Service, utilizing its prevalent features This long course is designed for Data Analyst, Data Administrator, and Business Analyst seeking to enhance their analytical and design skills. Prior experience with MS Excel and SQL is beneficial but not mandatory for this course. Join us on this journey to enhance your decision-making skills and elevate your analytical and design capabilities.

Take your data visualization and business intelligence skills further by learning how to connect Power BI with AWS and Snowflake, two of the most widely used platforms in cloud analytics. This course gives you practical experience designing, building, and managing data models in Snowflake using its unique architecture, as well as hosting, streaming, and visualizing datasets with AWS and Power BI. By the end of this course, you’ll know how to: - Set up AWS and Snowflake accounts and navigate their interfaces for data management. - Explore Snowsight, Snowflake’s user interface, to discover tables, data warehouses, and advanced analytics tools. - Create and manage databases, tables, and S3 storage buckets in both Snowflake and AWS for efficient data storage. - Connect Power BI to Snowflake and AWS, enabling you to visualize and analyze live data from cloud sources. - Apply best practices for data security, governance, and cost optimization in cloud environments. This course is ideal for data analysts, business analysts, database administrators, and anyone seeking to advance their ability to work with cloud-based analytics tools. Some past experience with MS Excel, SQL, AWS, R, or relational databases is helpful but not required. You will finish with hands-on expertise in cloud data integration, scalable architecture, automated reporting, and advanced business intelligence ,preparing you for real-world analytics roles in organizations using modern cloud platforms.