The Complete Course on Excel Data Analysis

Microsoft Excel is an important tool for data analysis. It helps companies accurately assess situations and make better business decisions. This course helps you unlock the power of your organization's data using the data analysis and visualization tools built into Excel. Author Curt Frye starts with the foundational concepts, including basic calculations such as mean, median, and standard deviation, and provides an introduction to the central limit theorem. He then shows how to visualize data, relationships, and future results with Excel's histograms, graphs, and charts. He also covers testing hypotheses; modeling different data distributions; calculating the covariance and correlation between data sets; and calculating probabilities, combinations, and permutations. Finally, he reviews the process of calculating Bayesian probabilities in Excel. Each chapter includes practical examples that show how to apply the techniques to real-world business problems.

At the end of this training program, you will learn:

• Data Cleaning, the first phase of Data Analytics.
• Data Analytics and how we can do it using excel.
• Process raw data into meaningful data by various phases of Data Analytics: Data cleaning, Data Analysis, and Data Visualization.
• Understand each phase in detail and learn how you can take critical decisions using data in a business.
• How to manage data using Data Validation.
• Understand what Pivot tables are used for and how they are used.
• The types of functions you can use in Excel for Data Analytics to save your time and effort.
• How to Sort and Filter options.
• Understand how VLOOKUP and HLOOKUP functions work for finding specific information in a spreadsheet.
• How you can use conditional formatting in the cells to fulfilling the main purpose of data analysis.
• Understand how you can represent your data for better clarity and decision-making purposes.
• Miscellaneous Analytical Tools

This course is intended for:

• Data analysts
• Spreadsheet authors
• Excel power users
• Finance managers
• Decision makers
• Financial controllers
• Junior accountants