
Learn the essentials of data entry, from basic computer skills and Word/Excel to accurate data updates across systems, including typing speed practice, enabling beginners to start earning online.
Create a ChatGPT account using your Google account by signing up, continuing with Google, and entering your name and birthday to complete setup.
Install the email extractor extension in Chrome, add it to Chrome, and use it to automatically scrape and copy emails from websites for data entry.
Learn how to download and install the R tool and rar files, using extractor tools, download and extract here, to access the data entry project with Word and Excel files.
Access and download the practice files from the course resources, including data entry project number one docs and project number two Excel, then open and practice on the downloaded files.
Learn how to download, install, and enable the web scraper extension in Chrome, pin it for quick access, and use developer tools to begin simple web scraping projects.
Gain hands-on practice updating a 2800-entry data set by extracting data from Excel and researching to fill missing website, phone, address, city, state, zip code, and Facebook page with precision.
Learn to use a free web scraper to extract restaurant data from yellow pages for New York and Los Angeles, including name, address, phone, email, and website.
Learn to scrape data from multiple pages with a single click, extracting email addresses from Trustpilot and exporting results to a Google Sheet for streamlined data entry.
Practice data entry by converting client images into an Excel sheet, extracting name, address, and contact numbers, while observing a sample entry and noting typing speed and accuracy.
Learn to locate and record email addresses for 1000 French websites, using email extractors and, when unavailable, collect from contact forms or social pages, in a practical data entry project.
Manually collect business data from Yelp and compile it into an Excel sheet by extracting names, websites, numbers, and locations across pages, using step-by-step, manual entry techniques.
Practice manual data entry by visiting a webpage, opening profiles, and collecting name, number, address, email, and website into an Excel sheet; format cells and build a data entry portfolio.
Practice data entry by extracting active attorney leads from Pennsylvania on Upwork projects, capturing name, company, address, and phone, using the client site and a VPN when needed.
Learn to perform data entry projects with both manual and automated scraping techniques, extracting names, companies, addresses, phones, emails, and websites, and market your skills on Upwork and Fiverr.
Complete data entry project ten by scraping Queensland accounting firms from Yellowpages, compiling business name, type, website, email, and full address into an Excel file using a free scraping tool.
Learn to manually extract specific information from a website, including company name, address, email, phone, website URL, and Facebook page across 126 results, with page navigation and careful verification.
Identify one LinkedIn profile per company for founder or CEO titles, and record first name, last name, company name, and LinkedIn URL in a Google sheet using free access.
Learn practical data entry for administrative support by collecting software company data: name, annual revenue, hourly rate, company size, location, and founding year, using instant data scraper and manual checks.
Learn practical data entry to convert pdf contacts into excel, using manual entry or ai free tool methods like chatgpt to extract and organize 520 contacts across 49 pages.
Learn to automate data entry using AI tools to extract contact details into an Excel sheet, organized by first name with last name, email, phone, address, and practice area.
Extract data from a PDF into an Excel spreadsheet using a predefined template, organizing first name, last name, company, address, city, state, postal code, phone, and email with ChatGPT guidance.
Convert a pdf list of about 250 records into an excel spreadsheet by manually extracting first name, last name, company, address, city, state, zip, phone, and email.
Develop data entry and advanced web research skills by extracting hospital details from publicly available websites, including hospital name, email, contact number, and full address.
Extract zip code, type, city, country, and area code from a Texas webpage into Excel using a free instant data scraper, then present the results in a data entry portfolio.
Scrape a public business directory and organize data into an Excel file by extracting business name, address, city, state, zip code, phone, contact name, contact email, website, and business tab.
Create an Excel sheet of car and truck listings by researching provided cities, extracting name, primary and fixed numbers, location, website, and Facebook pages from Yellowpages and official sites.
Extract and organize hospital contact details from websites into an Excel sheet, including street address, city, state, ZIP code, and phone numbers, following client instructions.
Scrape USA used car dealer listings from Google Maps for project 23, filter by rating under 4.5 and claim this business, then enter name, city, category, and phone into Excel.
Learn to automate data scraping from a client website into a single Excel sheet, extracting first name, last name, email, phone number, fax, firm name, address, and practice area.
Learn to scrape boat dealer data by province, collecting business name, full name, and email addresses from yellowpages and Canada for 101.ca, organized by province for timely delivery.
Extract retailer data from a website into Excel for practical data entry. Split full names, combine address fields, and clean data with text to column and substitute.
Import emails from a Word draft into Excel, separating name, email, and company name. Use a ChatGPT-driven prompt to clean and format the data for data-entry projects.
Learn a practical data entry workflow: extract pretend contact details from websites, paste into an Excel sheet, and build a portfolio through step-by-step practice with VPN access and data verification.
Learn to copy school data from web pages into a spreadsheet for a portfolio, including name, number of students, website, address, phone, city and state, while skipping sponsor-labeled entries.
Learn step-by-step how to create a freelancer Upwork account, verify your email, set up data entry and virtual assistant services, and build a complete profile to start bidding.
Learn to convert Upwork pdf invoices into a single Excel spreadsheet by extracting date, fulfill, invoice, item, unit price, and amount, consolidating multiple pdfs.
Learn to find and win data entry projects on Upwork by optimizing your profile, evaluating client requirements, and crafting tailored proposals with attached samples and portfolios.
Learn how to evaluate Upwork jobs before applying by checking client history, hiring rate, payment method verification, and project legitimacy to avoid scams.
Complete all lectures, tick each completion box, restart the page, and click get certificate to download your data entry course pdf. Update your real name in profile settings.
Welcome to the Practical Data Entry Course, where you will learn everything about Data Entry through real projects and hands-on practice.
In this course, you are going to train with a Virtual Assistant who actually earns from Data Entry jobs on freelance marketplaces like Upwork and Fiverr. That means you will not just learn theory, you will see how real projects are done step by step.
This course is for anyone who wants to start freelancing, work from home, or build a real career in Data Entry. You’ll get to practice 30+ real client projects with downloadable files, so you can create your own portfolio while learning by doing. By the time you finish, you’ll feel confident and ready to take on real jobs with the exact skills you need to succeed
What You Will Learn:
How to become a data entry professional from scratch
AI tools to automate Data Entry in real jobs
Working with Excel, Google Sheets, and other essential tools
PDF and image-to-text conversion projects
Web research and data collection techniques
Step-by-step live client project demonstrations
Real freelance project examples from Upwork and Fiverr
Web Scraping Without Coding
Why Take This Course?
This course is 100% practical, allowing you to learn through 30+ real projects that simulate actual client work. You will develop skills to work efficiently, reduce errors, and increase speed using AI-powered automation.
Three Reasons to Take This Course Right Now!
Lifetime Learning: Once you join, you’ll have lifetime access to all the lessons and I keep updating the content whenever tools or methods change, so you’ll always stay up to date.
I’m Here for You: You can message me anytime if you feel stuck or confused. I personally read every question and reply with real guidance. You’re not learning alone I’ll be there to help.
Practical Experience: Instead of boring theory, you’ll work on real projects. By the time you finish, you’ll feel confident enough to start taking freelance jobs right away.
By the end of this course, you will be job ready and able to start working as a freelancer or a remote data entry specialist. Enroll now and take the first step toward a successful online career.