
Learn three ways to copy data in Excel—the icon button, right-click copy, and the Ctrl+C keyboard shortcut—plus access to a complete list of keyboard shortcuts.
Master freeze panes in Microsoft Excel to keep the top row or first column visible as you scroll through large data sets, and learn how to unfreeze when needed.
Master infinite formulas in Microsoft Excel by quickly copying a formula across entire columns and rows using keyboard shortcuts (Ctrl+Shift+Down, Ctrl+D, Ctrl+Shift+Right, Ctrl+R, Ctrl+L) for huge data sets.
Freeze the top row to keep headers visible while scrolling. Convert dvd sales from dollars to yen using an absolute reference to the exchange rate at $B$2, ensuring drag-down calculations.
Use goal seek in Microsoft Excel to determine how many hours of music fit a 5.5 denarius budget by modeling expenses as 3 plus 0.63 times hours via what-if analysis.
Identify the mode as the most frequent rating in data, illustrated by one and five appearing most often, including bimodal cases, and note its role alongside the mean.
Compare mean and median to understand when to use each, and demonstrate how extreme values distort the mean, recommending reporting both to reveal central tendency.
Learn to create and customize a two-line chart in Excel to compare Holland and Belgium profits over years, with proper data selection, axes, and axis titles in US dollars.
Explore how Coca-Cola shaped the Santa Claus image through the 1920s campaigns and 1931 Sundblom illustrations, then apply standard deviation theory to an Excel file about Coca-Cola.
Learn how standard deviation measures data dispersion and, with the mean, applies the three standard deviation rules of thumb to bound data within 88–92, 86–94, and 84–96.
Excel computes standard deviation for plant A and B, using population vs. sample options, showing plant B has greater spread while means stay near 30 cm.
Convert the data to a table, then create pivot tables to analyze lead time by government type and product, and revenue by customer type and product, for a dashboard.
Inspect a correlation matrix in Excel to see which variables relate to passenger numbers, noting negative links with income and positive links with inflation, ticket price, and Mars living space.
Explains that correlation coefficients capture only linear patterns, so non-linear relationships may show weak correlations. A low correlation does not prove the absence of a relationship.
Explore how to respect outliers in data analysis, examining how outliers affect the correlation coefficient between temperature and visitors, and when to remove or keep them based on context.
Explore how time lag affects data relationships by testing delayed correlations, using unemployment rate and revenue as examples, and learn to shift data to reveal stronger insights.
Perform a single ols regression in Microsoft Excel to practice data analysis techniques and strengthen skills for the Excel Data Analysis Expert accreditation.
Explore the theory of multiple OLS regression and learn how Excel calculates it to isolate the pure effects of experience and training on mistakes, guided by R squared.
Explore the rules of multiple ols regression, including parametric scales for y and preferably x, avoiding high-cardinality nominals and multicollinearity, with Excel-based calculations in part 3.
Microsoft Excel 2024 - Microsoft Excel Data Analysis Expert
Thanks for considering our Microsoft Excel course. There are at least 100 Microsoft Excel courses out there. Why choose our Microsoft Excel course? Because of the following reasons:
This course does not require any previous knowledge about Microsoft Excel or data analysis.
This course is designed to be accessibele, regardless of your educational background.
We keep this Microsoft Excel course practical. You learn what is required in the job market in the AI driven world.
We present the Microsoft Excel course based on story telling.
STRUCTURE
We kickstart this This Microsoft Excel course by a very brief introduction to the inner working of Excel, so if you have never touched Excel, do not worry, we will teach you in a few minutes how the basics work. We immediately continue to the actual meat of this course, which is of course the data analysis skills and statistics. In concrete terms, you will learn:
Microsoft Excel Essentials: Absolute and relative referencing
Microsoft Excel Essentials: Freeze panes
Microsoft Excel Essentials: Graphs
Microsoft Excel Essentials: Keyboard shortcuts
Microsoft Excel Essentials: Securing a sheet
Microsoft Excel Essentials: VLOOKUP
Microsoft Excel Essentials: Filter Function
Microsoft Excel Essentials: AND Function
Microsoft Excel Essentials: (Nested) IF Function
Microsoft Excel Essentials: Pivot Charts
Microsoft Excel Essentials: Pivot Tables
Microsoft Excel Essentials: Dashboard function
Microsoft Excel Essentials: Dashboard variable choice
Microsoft Excel Essentials: Dashboard functionality
Microsoft Excel Essentials: Drop Down Menu
Microsoft Excel Essentials: Conditional Formatting
Microsoft Excel Essentials: Pattern Recognition
Microsoft Excel Data Analysis: Scenario analysis
Microsoft Excel Data Analysis: Goal Seek
Microsoft Excel Data Analysis: Solver
Microsoft Excel Data Analysis: Standard Deviation
Microsoft Excel Data Analysis: Normal Distribution
Microsoft Excel Data Analysis: (Geometric) Mean
Microsoft Excel Data Analysis: Median And Mode
Microsoft Excel Data Analysis: Descriptive statistics
Microsoft Excel Data Analysis: Correlation
Microsoft Excel Data Analysis: Single OLS Regression
Microsoft Excel Data Analysis: Non-linear Regression
Microsoft Excel Data Analysis: Multiple OLS Regression
EXTRAS
*Certificate of completion
*30 day money back guarantee
*Accredited course taught by qualified university lecturers
Note: We have tested this course on a test audience and they had little to no problems keeping up with various versions of Microsoft Excel, such as Microsoft Excel 2016, Microsoft Excel 2019 and the MS Office 365 version.