The first course: Excel Fundamentals for Data Analysis, covers data preparation and cleaning but also teaches some of the prerequisites for this course like tables and named ranges as well as text, lookup and logical functions. This is the second course in our Specialization on Data Analytics and Visualization. Week 5: Creating interactive dashboards in Excel Week 4: Summarising and filtering data with pivot tables and pivot charts Week 3: Creating specialised and custom charts Week 2: Charting techniques for telling the right story Week 1: Dynamic visualizations with conditional formatting, custom number formatting, sparklines and macros We are going to help him achieve all this and present our finished visualizations in attractive reports and dashboards that use tools like slicers and macros for automation and interactivity. In some cases, he will also need to prepare the data using pivot tables to drill down and answer very specific questions. As well as utilising the usual chart types he wants to use conditional formats, sparklines, specialised charts and even create his own animated charts and infographics. Rohan is required to produce visualizations that will show trends, forecasts, breakdowns and comparisons for a large variety of environmental data sets. Over five weeks we will explore Excel's rich selection of visualization tools using practical case studies as seen through the eyes of Rohan, an environmental analyst. But what sets Excel apart is its flexibility, it gives us total creative control over our designs so if needed we could produce our own animated custom chart to tell the right story for our data. It offers a wealth of tools for creating visualizations other than charts and the chart options available are constantly increasing and improving, so the newer versions now include waterfall charts, sunburst diagrams and even map charts. Excel has many rivals in this space, but it is still an excellent choice, particularly if it's where your data resides. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. You will learn to create a data workflow to automate your analysis and make the results flexible and reproducible. Working with datasets similar to those typically found in a business, you will use powerful Excel tools to wrangle the data into shape, create useful visualizations, and prepare dashboards and report to share your results. Harnessing the power of an underlying database engine, we will remove the 1,048,576 row limitation, completely automate data transformation, create data models to effectively link data, and open the gateway to Power Business Intelligence. Finally, you will explore a new dimension in Excel with PowerPivot, Get and Transform, and DAX. You will master a broad range of charts and create stunning interactive dashboards. These courses will equip you with a comprehensive set of tools for transforming, linking, and analysing data. Upon completing this specialization, you will be able to bring data to life using advanced Excel functions, creative visualizations, and powerful automation features. For those in business and data analysis who want to master advanced Excel and beginner Power BI, that will add an asset to your employability portfolio. This course will help you develop your analytical and visualization skills so that you not only improve your current work performance but also expand your future job prospects. According to an IBM report Opens in a new tab, the Excel tools for data analytics and visualization are among the top 10 competencies projected to show double-digit growth in their demand. Therefore, data analytics and visualization are two of the most sought after skills for high paying jobs with strong future growth prospects. As data becomes the modern currency, so the ability to quickly and accurately analyse data has become of paramount importance.
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