Automating data analysis with Excel RPA_Web scraping

If you have completed the basic and essential lectures to understand Power Automate Desktop, now you will learn the most frequently used Excel automation flow in your work through hands-on practice so that you can automate more in your actual work.

Through the synergy of Excel and generative AI (ChatGPT), this practical, hands-on training covers the entire spectrum including data aggregation, cleansing, visualization, report writing, template automation, code-free schedule creation, VBA automation, and Google Sheets integration, designed to enable learners from Excel beginners to intermediate users to develop skills that can be immediately applied in real-world work through step-by-step learning.

A course where anyone—from general users unfamiliar with programming to office workers looking to simplify their tasks—can learn how to create data processing rules, merge multiple documents, and easily automate workflows with just a few mouse clicks!

Learn how to use Power Query, an add-in to Excel, to analyze large amounts of data more quickly and efficiently, and automate repetitive data tasks.

In the basic course, you will learn how to use Power Automate Desktop and become familiar with it by following along. Now, in the essential course, you will learn about variables and frequently used grammar so that you can use it better and automate more.

Excel is enough even if you don't know coding! This is a course where non-majors learn how to merge, edit, and organize large amounts of data using Excel, and learn automation to make data handling easier.

A class on analyzing customer/sales data with Excel, even without R or Python!

Automate the little things that people have to keep thinking about and do repeatedly with Power Automate Desktop and focus on what really matters! 🎯

Let's implement a deep learning framework directly with Excel! Let's solve supervised learning/unsupervised learning/reinforcement learning with the implemented framework!

Learn the entire data analysis workflow using ChatGPT, Excel Copilot, and Claude. Through hands-on, step-by-step practice, participants will cover everything from data preparation and preprocessing to exploration, analysis, validation, visualization, report writing, insight generation, and presentation material creation. Planning Background Data analysis involves a series of complex, interconnected tasks, including data collection and cleansing, writing formulas and functions, and creating pivot tables and charts. As a result, practitioners spend a great deal of time preparing and organizing data rather than analyzing it. This course is designed to use generative AI to reduce these repetitive tasks and enable participants to apply data analysis results to real-world decision-making. Market Trends Data analysis using generative AI is expanding from coding-centered analysis to file-based analysis driven by natural language questions. This course covers methods for exploring, analyzing, visualizing, and documenting data using ChatGPT, Excel Copilot, and Claude—without requiring coding skills or knowledge of complex functions. Expected Benefits Reduce the time required for data preprocessing and cleansing. Reduce repetitive formula, pivot table, and chart creation tasks. Enhance natural language-based data analysis skills.

Automate repetitive Excel, Word, Outlook, and PowerPoint tasks with AI—without writing code yourself.

Put an end to daunting data analysis with ‘Exploratory Visualization’! Drastically increase the speed of practical analysis without difficult coding.

This is a practice-oriented course designed to increase work efficiency by automating repetitive Excel tasks with Python. You will learn how to automate the entire workflow—from opening files to data processing, inspection, consolidation, and saving—and will also be provided with practical automation code using pywin32.

With the advancement of technology since the Fourth Industrial Revolution, industry boundaries are collapsing and digitalization is accelerating, opening the era of business process automation through RPA software robots. Through UiPath, I hope you can automate repetitive, simple, and complex tasks with one robot per person, allowing individuals to spend their time on higher-value work. Increase the efficiency of digital labor through RPA and implement automation that is free from the constraints of working hours!

With the advancement of technology since the Fourth Industrial Revolution, industrial boundaries are collapsing and digitalization is accelerating, opening the era of business process automation through RPA software robots. Through UiPath, I hope you can automate repetitive, simple, or complex tasks with one robot per person, allowing individuals to spend their time on higher-value work. Increase the efficiency of digital labor through RPA and implement automation that is free from the constraints of working hours!

Even complete beginners who don't know anything about Excel are OK! Just follow the lectures and you can get an A grade in ITQ Excel.

Through this course, learners will be able to acquire the skills necessary to obtain a Computer Application Skills certification. This course is structured according to the examination standards for obtaining the Computer Application Skills certification. You can learn and apply fundamental knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Practical - Spreadsheet Practice)

Data Analysis that Determines Online MD Performance! Learn essential data analysis and strategy formulation techniques necessary for MDs to maximize sales and profit in the e-commerce market.

This is a practical lecture designed for passing the ITQ Excel Grade A exam in a short period. You will master the four-step process—from data entry to pivot tables and charts—and learn time-saving skills to finish with 15 minutes remaining in the 60-minute exam. Rather than rote memorization, you will understand functions through intuitive pattern matching and complete your Excel skills to be immediately applicable in real-world tasks.

Even if you don't know coding, you can read data - everything about no-code AI analysis that makes perfect sense! If you can use Excel, PPT, and Google Sheets, AI will now handle data analysis for you.