Microsoft Excel for Data Analysis with Real life Projects

Boost your Excel skills by mastering formulas and basic calculations, using essential functions like average, max, min, count, and sum, plus IF, OR, IFERROR, and VLOOKUP for data analysis.

Explore condition formatting in Excel to visualize data with color scales, data bars, and custom rules, from basics to advanced top/bottom and above/below average highlights.

Define clear data analysis goals in Excel, from basic to advanced extractions, and build a dashboard that tracks gender counts, age, professions, areas, income, car value, and debt metrics.

Master basic data extraction in Excel for database analysis, counting men vs women with if formulas, calculating averages, profession tallies, average income, car value per citizen, and debt thresholds.

Learn to count persons with debts above a threshold using Excel's if function, locked references, and sums, then compute the percentage left on a mortgage to extract basic data.

Learn advanced data extraction in Excel by calculating average income per territory and sector, estimating debt-to-income exceedances, and the average age of high net worth individuals, then build a dashboard.

Design an Excel dashboard to visualize data such as men versus women and average age. Link data from your database, create profession counts and charts, and enable auto-updating visuals.

Learn to build a dashboard in Excel by entering advanced data, linking variables, and creating charts and maps to analyze average income, debts, and net worth across territories and sectors.

Import and create a real stock data database in Excel by downloading a year of daily spy 500 data from investing.com and organizing it into a table for analysis.

Define six Excel-based stock data analysis goals, including past-year high and low prices, standard deviation, price movements, daily volatility, and a model predicting a 95% accurate price range.

Extract stock data in Excel by identifying the highest and lowest prices. Compute daily volatility in dollars and percentage using max, min, abs, standev.p, and open price as reference.

Generate a stock price simulation in Excel by compiling open, high, low, and close data and creating a dynamic chart with max and min set by two standard deviations.

Create a simple Excel dashboard on a single sheet to analyze stock data, displaying highest and lowest prices, price movement, price range projections, standard deviation, and daily volatility with charts.

Create an Excel database for a movie recommendation engine by defining categories such as type, country, popular actor, and year, and use randomized data to demonstrate vlookup and randbetween.

Define data extraction goals to build a movie recommendation engine in Excel. Analyze movies by type, country, popular actor presence, and year category (2000-2020 in four ranges).

Apply Excel data analysis techniques to extract data and build counting engines. Use if and sum formulas to count movies by type, country, yes/no, and year category ranges.

Build a movie recommendation dashboard in Excel using data extraction, vlookup, max, and if to filter by type, country, actor, and year.

Create a simple employee database in Excel to build an HR management app, including IDs, names, social insurance numbers, employment type, hourly rate, and commission.

Create a two-week employee schedule in Excel, compute hours and wages, build a business dashboard to track commissions and sales, and generate pay sheets for all staff.

Learn to build an employee payroll database in excel by linking IDs, using VLOOKUP to generate names and pay, and calculating weekly hours and income.

Learn to calculate employee commissions within a single Excel table using VLOOKUP, locked cells, and daily to weekly income calculations, then prepare for a dashboard.

Build an Excel dashboard from a multi-sheet database, calculating total hours, income, commissions, and sales across two weeks, with charts and ROI per employee.

Create an employee pay sheet in Excel for data analysis with real life projects, calculating hours worked, hourly rate, and commissions to derive total weekly income using a template.

Continue mastering data analysis in Excel by practicing the four projects—population analysis, stock evaluation, a basic movie suggestion, and an HR management app—while building fluency with functions and logical thinking.