Effective Excel Skills for Data Analytics and Visualization Specialization
This course on Effective Excel Skills 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.
About this Course
As data becomes the modern currency, the ability to quickly and accurately analyze data has become of paramount importance. Therefore, data analytics and visualization are two of the most sought-after skills for high-paying jobs with strong future growth prospects.
According to an IBM report, the Excel tools for data analytics and visualization are among the top 10 competencies projected to show double-digit growth in their demand.
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.
Upon completing this specialization on Effective Excel Skills, you will be able to bring data to life using advanced Excel functions, creative visualizations, and powerful automation features. These courses will equip you with a comprehensive set of tools for transforming, linking, and analyzing data.
You will master a broad range of charts and create stunning interactive dashboards. Finally, you will explore a new dimension in Excel with PowerPivot, Get and Transform, and DAX.
Harnessing the power of an underlying database engine in this course on Effective Excel Skills, 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.
Applied Learning Project
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.
You will learn to create a data workflow to automate your analysis and make the results flexible and reproducible.
What You Will Learn
- Use Excel tools and functions to clean and prepare data for analysis.
- Use Named Ranges and Tables to automate your analysis.
- Understand the different types of data in Excel and use appropriate functions to work with them.
- Use logical and lookup functions to transform, link, and categorize data.
Skills You Will Gain
- Data Analysis: Effective Excel Skills
- Microsoft Excel
- Data Visualization (DataViz)
- Data Cleansing
- Big Data: Effective Excel Skills
Excel Fundamentals for Data Analysis
As data becomes the modern currency, the ability to analyze the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this.
In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Effective Excel skills for data analysis. When you have completed the course, you will be able to use a range of Excel tools and functions to clean and prepare data for analysis; automate data analysis with the help of Named Ranges and Tables; and use logical and lookup functions to transform, link and categorize data.
This course, Effective Excel Skills will enable you to build a strong foundation in the fundamentals, helping you to be more efficient in your day-to-day and developing the necessary skills to work with the more advanced techniques used in later courses.
To make the content easy to relate to and to personalize the learning experience, we are going to follow Zara’s journey through the course. Who is Zara? Well, she is no one and everyone. You will find that Zara’s trials and tribulations sound familiar, and together with Zara, you will develop your Excel skills along the way — and, importantly, have some fun doing it.
The Effective Excel Skills for Data Analytics and Visualization courses are the sequel to one of the most successful specializations on Coursera, Excel Skills for Business, which has attracted hundreds of thousands of learners and top ratings. Transform your skills, your confidence, and your opportunities by adding this new set of skills to your repertoire.
Data Visualization in Excel
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. 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.
Excel has many rivals in this space, but it is still an excellent choice, particularly if it’s where your data resides. 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.
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.
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. Rohan is required to produce visualizations that will show trends, forecasts, breakdowns, and comparisons for a large variety of environmental data sets.
As well as utilizing the usual chart types he wants to use conditional formats, sparklines, specialized charts, and even creates his own animated charts and infographics. In some cases, he will also need to prepare the data using pivot tables to drill down and answer very specific questions.
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.
These are the topics we will cover:
- Week 1: Dynamic visualizations with conditional formatting, custom number formatting, sparklines and macros
- Week 2: Charting techniques for telling the right story
- Week 3: Creating specialized and custom charts
- Week 4: Summarising and filtering data with pivot tables and pivot charts
- Week 5: Creating interactive dashboards in Excel
This is the second course in our Specialization on Data Analytics and Visualization. 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.
To get the most out of this course we would recommend you do the first course or have experience with these topics. In this course we focus on Data Visualization in Excel, join us for this exciting journey.
Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot, and Power BI, three power tools for transforming, analyzing, and presenting data.
Excel’s ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly “big” data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.
Over the last few years, Microsoft has worked on transforming the end-to-end experience for analysts, and Excel has undergone a major upgrade with the inclusion of Power Query and Power Pivot.
In this course, we will learn how to use Power Query to automate the process of importing and preparing data for analysis. We will see how Power Pivot revolutionizes the actual analysis process by providing us with an analytical database inside the Excel workbook, capable of storing millions of rows, and a powerful modeling language called DAX which allows us to perform advanced analytics on our data.
We will finish off by venturing out of Excel and introducing Power BI, which also uses the Power Query and Power BI architecture but allows us to create stunning interactive reports and dashboards.
This is the third course in our Specialization on Data Analytics and Visualization. The previous courses: Excel Fundamentals for Data Analysis and Data Visualization in Excel, cover data preparation, cleaning, visualization, and creating dashboards.
To get the most out of this course we would recommend you do the previous courses or have experience with these topics. In this course we focus on Excel Power Tools, join us for this exciting journey.
Please note that Power Query, Power Pivot, and Power BI Desktop are only available on the Windows platform, so Mac users will require Bootcamp running Windows or a Virtual machine with a Window O/S. While Power Query is available as an add-in Excel 2010 and 2013, the tools have changed significantly, and this course has only been designed and tested for Excel 2016 and later. For an optimal experience, we recommend Office 365.
Originally posted 2022-01-28 11:08:06.