
Watch this video to access essential information for a successful training experience in this video-based course, including downloadable exercise and instructor files, playback options, and module downloads.
Complete exercise one by calculating sum, mean, max, and count of sales from total sales column, create a named range, apply 15% tax in column f, and compute grand total.
Learn how to make VLOOKUP robust to expanding data by using column references, dynamic tables, and named ranges, including exact-match lookups for growing parts catalogs.
Combine vlookup and match to automate exact lookups and locate column positions with match, using absolute references and named ranges to retrieve scores efficiently.
Explore how to perform lookups with index match and xlookup using Excel tables, then create a data validation list to select apps and auto-update profits and revenue.
Practice vlookup exact match to pull department and category from product list, build index-match lookups with named ranges and a data validation id list for employee name, salary, and status.
Learn to use the if function in Excel to apply a logical test and compute shipping charges, where orders over 1500 have no shipping and others incur two percent.
Explore advanced if function use in Excel to determine bonuses based on job ratings, using logical tests, text results, cell references, absolute references, and percentage-based bonuses.
Learn how to build nested if statements in Excel to award bonuses by job rating, using multiple ifs, logical tests, and cell references.
Learn how to handle errors in Excel with iferror and ifna, wrapping formulas to return blanks or custom text and keep lookups tidy in business analytics work.
Explore how to replace if with max and min in Excel for business analysis, including max ifs and min ifs to find highest or lowest revenue by year and country.
Discover how to use count, countifs, sum, and sumifs to analyze sales data with multiple criteria, using criteria ranges and totals across regions and orders.
Master joining text in Excel with concat, concatenate, and text join to rebuild names and other fields, handling spaces, delimiters, and empty cells with flash fill.
Standardize and clean a large sales dataset by removing blank rows, formatting columns, removing duplicates, and using find and replace before analyzing with a pivot table.
Discover pivot tables and how they analyze data by dragging fields, allowing flexible views such as profits by country and sales channel with a grand total.
Learn to create pivot tables in Excel from a clean data table, drag fields into rows, columns, values, and filters, and manage totals, subtotals, and grand totals for flexible analysis.
Explore slicers in Excel to filter pivot table data visually, compare regions, priorities, and sales channels, and use a timeline to analyze date ranges, with totals and counts.
Learn to format pivot charts in Excel, including line charts, axis and legend tweaks, data series styling, and refreshing charts from table data.
Practice building multiple pivot tables and pivot charts from sales data, then design an interactive dashboard with slicers and timelines, optionally adding spark lines.
Learn to forecast future values from historical data using Excel's forecast sheets, including one-click forecasting, confidence bounds, seasonality settings, and handling missing data with interpolation.
Explore Excel forecasting options, from slope and intercept calculations to forecast linear, including forecast sheets and the legacy function with X and Y data to predict future values.
Explore histogram charts to visualize frequency distribution, adjust age bins to five-year intervals, set salary bins to 50,000, and add data labels to reveal clustering by age and salary.
Explore Excel's scenario manager to build and compare multiple what-if scenarios, using named ranges to project profits under different budgets and generate a summary report.
Use the PMT function to calculate payments and apply goal seek to determine borrowing power, then build a two-variable data table to compare payments across interest rates and loan amounts.
**This course bundle includes practice exercises**
Data Analysis is THE skill you need to thrive in the modern workforce.
Data Analysis is easier than you might think. You don’t need to be able to code or understand algorithms. What you need, is a deep understanding of the Microsoft Excel techniques needed to conduct comprehensive data analysis.
In this five-course bundle, we look at a number of advanced Excel techniques all aimed at helping you make sense of the numbers in your business.
In this special course, we’ve combined five of our full-length titles into one, huge-value bundle. Here’s what you get:
Excel for Business Analysts
What you’ll learn:
How to merge data from different sources using VLOOKUP, HLOOKUP, INDEX MATCH, and XLOOKUP
How to use IF, IFS, IFERROR, SUMIF, and COUNTIF to apply logic to your analysis
How to split data using text functions SEARCH, LEFT, RIGHT, MID
How to standardize and clean data ready for analysis
About using the PivotTable function to perform data analysis
How to use slicers to draw out information
How to display your analysis using Pivot Charts
All about forecasting and using the Forecast Sheets
Conducting a Linear Forecast and Forecast Smoothing
How to use Conditional Formatting to highlight areas of your data
All about Histograms and Regression
How to use Goal Seek, Scenario Manager, and Solver to fill data gaps
Advanced Excel 2019 Course
What You'll Learn:
What's new/different in Excel 2016
Advanced charting and graphing in Excel
How to use detailed formatting tools
Lookup and advanced lookup functions
Financial functions including calculating interest and depreciation
Statistical functions
Connecting to other workbooks and datasets outside of Excel e.g. MS Access and the web.
How to create awesome visualizations using sparklines and data bars
Mastery of PivotTables and Pivot Charts
Scenario Manager, Goal Seek, and Solver
Advanced charts such as Surface, Radar, Bubble, and Stock Charts
PivotTables for Beginners
What You'll Learn:
How to clean and prepare your data
Creating a basic PivotTable
Using the PivotTable fields pane
Adding fields and pivoting the fields
Formatting numbers in PivotTable
Different ways to summarize data
Grouping PivotTable data
Using multiple fields and dimension
The methods of aggregation
How to choose and lock the report layout
Applying PivotTable styles
Sorting data and using filters
Create pivot charts based on PivotTable data
Selecting the right chart for your data
Apply conditional formatting
Add slicers and timelines to your dashboards
Adding new data to the original source dataset
Updating PivotTables and charts
Advanced PivotTables
What You'll Learn:
How to do a PivotTable (a quick refresher)
How to combine data from multiple worksheets for a PivotTable
Grouping, ungrouping, and dealing with errors
How to format a PivotTable, including adjusting styles
How to use the Value Field Settings
Advanced Sorting and Filtering in PivotTables
How to use Slicers, Timelines on multiple tables
How to create a Calculated Field
All about GETPIVOTDATA
How to create a Pivot Chart and add sparklines and slicers
How to use 3D Maps from a PivotTable
How to update your data in a PivotTable and Pivot Chart
All about Conditional Formatting in a PivotTable
How to create amazing looking dashboards
Advanced Formulas in Excel
What You'll Learn:
Filter a dataset using a formula
Sort dataset using formulas and defined variables
Create multi-dependent dynamic drop-down lists
Perform a 2-way lookup
Make decisions with complex logical calculations
Extract parts of a text string
Create a dynamic chart title
Find the last occurrence of a value in a list
Look up information with XLOOKUP
Find the closest match to a value
This course includes:
30+ hours of video tutorials
230+ individual video lectures
Exercise files to practice what you learned
Certificate of completion
This course was recorded using Excel 2019 and Excel 365. It's also relevant to those using other, recent versions of Microsoft Excel including Excel 2013 and 2016.
Here’s what our students are saying…
"Well described and clearly demonstrated."
- Harlan
"My name is Kenvis and i have a knowledge in IT but never thought of specializing in Data Analytics before. This was so exciting and am now anxious to learn more."
- Kenvis
"I like the instructor very much. I had a slight problem with the MIN function but I reviewed the tutorial again until I realized where my error was, and fixed it!"
- Beverly