Enroll Course: https://www.udemy.com/course/practical-data-analytics-using-excel-vba-power-bi-with-dax/
In today’s data-driven world, the ability to analyze and interpret information is a highly sought-after skill. If you’re looking to transition into a data analyst role or enhance your existing analytical capabilities, the ‘Practical Data Analytics Using Excel VBA & Power BI with DAX’ course on Udemy is an exceptional starting point. This comprehensive program offers a hands-on approach, blending theoretical knowledge with practical application, ensuring you’re ready to hit the ground running.
The course begins by laying a strong foundation in Excel and VBA basics. You’ll learn fundamental programming concepts, understand syntax and expressions, and get a clear introduction to VBA, including variables, message boxes, loops, and essential statements. The course also touches upon different types of data analytics and guides you on how to enable the developer tab in Excel – a crucial first step for any VBA enthusiast.
Chapter 2 dives into the practicalities of data import and preprocessing. You’ll learn how to pull data from webpages directly into Excel and then leverage VBA, specifically using an ActiveX command box, to prepare this data for seamless import into Power BI. The course cleverly uses a real-world case study: the GDP and population data for over 266 countries from 1960 to 2020, sourced from the World Bank. This extensive dataset allows for deep dives into various analytical techniques.
The real power of this course lies in its thorough coverage of Microsoft Power BI. Chapter 3 provides a clear explanation of Business Intelligence (BI), its applications, strategies, tools, and systems. You’ll explore the different components of Power BI, including its dashboard features, and understand the distinctions between report, data, and model views.
As you progress, you’ll master the art of creating compelling visuals and linking tables in Chapter 4. The course guides you through importing your case study data into Power BI and introduces the Power Query Editor for data transformation using M-language. Chapter 5 then demystifies the two core languages of Power BI: M-language and DAX. It clearly outlines their differences and when to best utilize each.
Chapters 6 and 7 are dedicated to practical calculations using both M-language and DAX. You’ll learn key functions, syntax, and how to perform calculations for measures, columns, tables, and even row-level security. The GDP case study is used extensively here to demonstrate these powerful features.
Chapter 8 focuses on essential statistical concepts and visualizations. You’ll explore exploratory data analysis (EDA) with measures of central tendency, dispersion, skewness, and kurtosis. The course also provides practical examples of standard Power BI visualizations and best practices for formatting them to create impactful reports.
Finally, Chapter 9 culminates in comparative analyses using slicers. You’ll learn how to compare GDP growth among BRICS countries (Brazil, Russia, India, China, and South Africa) using various visualizations like box plots and line graphs. The ability to use slicers to dynamically filter data by country or year is a key takeaway, enabling interactive and insightful data exploration.
Overall, ‘Practical Data Analytics Using Excel VBA & Power BI with DAX’ is a highly recommended course for anyone serious about data analysis. Its practical, case-study-driven approach, combined with clear explanations of essential tools like VBA and Power BI, makes it an invaluable resource for building a successful career in data analytics.
Enroll Course: https://www.udemy.com/course/practical-data-analytics-using-excel-vba-power-bi-with-dax/