Master in Data Entry,Data Cleaning & Data Analysis in Excel

Master data entry, cleaning, and analysis in Excel by mastering manual and import data entry methods, two-way data cleaning tools, and analytics with conditional formatting, pivot tables, and charts.

Explore manual data entry methods in Excel, including entering data from pictures step by step, and practice with parts a, b, and c to answer questions.

Enter data from pictures into MS Excel, format and analyze a monthly sales report using arithmetic functions, total revenue, averages, and data validation with dropdowns for gender.

Learn to enter data from a picture into Excel, format cells, perform revenue calculations, and apply sum, average, min/max, rank months, and data validation for gender and profit margins.

Learn how to enter data using an Excel form, including setting up data validation for scores 0 to 100 and building a practical data entry workflow.

Learn to enter data using the Excel form, enable the form via the Quick Access Toolbar, apply data validation to 0–100, and format the worksheet with borders and merged headings.

Explore how to import data from various sources into Microsoft Excel, including extracting data from websites, converting PDFs and pictures, and converting folders to Excel sheets, with step-by-step practical guidance.

Learn to extract data from a website into Microsoft Excel using get data from website, Power Query, transform data, close and load, and refresh for updated tables.

Master the technique to convert bulk Excel sheets with identical headers into a single sheet using Power Query, append queries, and refresh to auto update across 40 branches.

Convert a PDF to an Excel sheet using Microsoft Excel, combining 15 pages into a single table with Power Query, and load the consolidated data into Excel.

Convert a pdf to an Excel sheet using method 2 by importing a web link, using Power Query to append pages, and consolidating into a sheet with 10,700 records.

Convert a picture to a Microsoft Excel sheet by first converting the image to PDF, then exporting that PDF to Excel; explore word-based and online OCR alternatives.

Convert multiple PDF files in a folder into a single Microsoft Excel sheet using Power Query, ensuring consistent headers and loading the combined data.

Convert a folder of CSV files into a single Excel sheet using Power Query, combining multiple CSV files with identical headers into one workbook.

learn to use left, right, and mid functions in Excel for text-based data cleaning, extracting department codes, salary codes, and employee IDs from complex codes.

Explore text cleaning tools in Excel by using upper, proper, and lower functions to convert text to uppercase, proper case, or lowercase, with practical examples.

Apply Excel text tools to clean and combine data using concatenate, trim, repeat, and find and replace, with practical examples from customer feedback and product names.

Learn to clean date and time data in Excel by using year, month, and day functions, and by composing dates with the date function on joining date records.

Master how to extract hour and minute from a time using Excel hour and minute functions, then combine components with the time function to create a complete time.

Explore now, today, datediff, and date format in Excel to compute current date and time, calculate age and service duration, and apply custom date formats.

Master data cleaning in Excel with flash fill, conditional formatting, removing blanks and duplicates, and text to column. Identify blank cells with go to special, then remove rows and columns.

Master spell checking in Excel using the review tab to correct spelling errors with UK or US dictionaries, then perform data transformation by transposing rows and columns.

Master advanced data cleaning in MS Excel by applying if condition, vlookup, and xlookup to validate targets and retrieve department names from tables.

Learn how conditional formatting in Excel automatically highlights cells based on conditions, enabling visual data analysis and quick identification of trends, patterns, and outliers.

Learn to apply conditional formatting in Excel to highlight values by rule, identify top performers, flag regional data, and detect duplicates for clean data analysis.

Learn to highlight sales above target in Excel using conditional formatting, by applying a formula with a fixed column and green fill and bold text.

Highlight entire rows for East region sales with a custom formula in Excel using conditional formatting, locking the column and applying to the full range.

Apply conditional formatting with a multi-criteria formula to automatically highlight rows when region, product, and month all match, using absolute references and data validation for a clear visual aid.

Generate a summary sheet and dashboard in Excel using sumif and related summary functions for data analysis.

Demonstrate how to use sumif for single-condition totals and sumifs for multiple conditions with practical Excel examples calculating laptop sales.

Learn how to use countif and countifs in Excel to count east region sales with one condition and laptop sales in the east region with two conditions.

Master minifs and maxifs functions to find minimum and maximum values by condition, using a monitor category and Dave's sales as examples.

Create a dynamic Excel summary sheet and dashboard that shows total records, unique regions and products, total units sold, and total sales, using data validation and sumifs/countifs.

Explore pivot table and pivot chart techniques to analyze and visualize data in Excel. Learn five steps to prepare data, convert it to a table, and create pivot analyses.

Learn to calculate total sales by region, sales rep, and product category using pivot tables; convert raw data to a table and analyze sales and units.

Answer questions on sales analysis in Excel, including Raj’s total sales, the top region, and stationery units, and show a column chart of sales by category with electronic as top.

Learn to create pivot charts and slicers in Excel to visualize region-wise total sales and unit sales, identify top regions and products, and filter data across multiple pivot tables.

Explore real-world data entry, cleaning, and analysis in excel through a project using student data. Determine 80% attendance eligibility and generate word and pdf certificates in landscape A4.

Combine prefixes with first and last names to form full names, compute 80% attendance, use if to label completion, and build certificate ids with left, concatenate, and rounding.

Create bulk completion certificates in Microsoft Word using mail merge, filter for complete status with at least 80 percent attendance, and export personalized PDFs.