Microsoft Excel - Learn MS EXCEL For DATA Analysis

Master basic calculations and essential functions in excel, including average, max, min, count, and sum, while exploring if, if error, and vlookup for data analysis.

Explore condition formatting in Excel to visually present data using color scales and data bars, and apply rules for top or bottom values and above-average highlights.

Define goals for data analysis in Excel and build a database and dashboard; perform basic and advanced data extraction to analyze demographics, areas, professions, income, debts, and net worth.

Learn basic data extraction in Excel for database analysis by using if functions to count men and women, compute averages, and summarize by profession, income, car value, and debt thresholds.

Learn how to extract basic data in excel using the if function to count debts above a threshold, lock cells, and sum results, including mortgage percentage left.

Explore advanced data extraction in Excel to compute average income by territory and sector, assess debts versus income, and age of people with net worth above threshold; create a dashboard.

Build an Excel dashboard from a data-extraction sheet, merge cells for layout, import data, and chart key metrics like men vs women, average age, and professions.

Create and link an advanced dashboard in Excel by importing data, defining modifiable variables, calculating average income by territory and sector, and linking cells to the database for dynamic charts.

Import and organize a one-year daily spy 500 stock dataset from investing.com into an Excel table for data analysis, preparing goals and future predictions.

Define goals for stock data: identify past-year highs and lows, use standard deviation to forecast future price ranges, and build a model predicting next-month price range with 95% accuracy.

Explore data extraction in Excel by analyzing stock data to identify the highest and lowest prices, compute open price standard deviation, and measure volatility with max, min, abs, and average.

Create an Excel dashboard on one sheet to present stock data with charts, highlighting highest and lowest prices, price movement, daily volatility, standard deviation, and predicted next month price range.

Learn to extract data in Excel, build a data engine, and count movies by type, countries, yes/no, and year category using if and sum formulas.

Create a movie suggestion dashboard in Excel by extracting data, building a category database, and using max, vlookup, and if to tailor recommendations by user.

Create a simple employee database in Excel with id, name, social insurance number, full/part-time, hourly rate, and commission, using an IF function to assign status and build a payroll dashboard.

Integrate commission calculations in a single Excel table by adding a commission tab, building formulas to compute daily sales, individual commissions, and total weekly income, and preparing for a dashboard.

Create an Excel database and dashboard by importing data and computing totals, then visualize with charts. Compute return on investment per employee and highlight the best seller with conditional formatting.

Build a print-ready, multi-sheet pay sheet in Excel for data analysis. Compute hours worked, hourly rate, commissions, and total weekly income using linked data and reusable templates.

Master Excel for data analysis by practicing essential functions and logical thinking, building projects like population analysis, stock devaluation, and movie recommendations, and developing data apps.