ChatGPT for Everyone Part 2 - Data Analysis and Pandas Utilization with ChatGPT

This lecture teaches how to create diverse quant investment strategies using ChatGPT. Use ChatGPT to build your own quant investment strategy.

This lecture teaches various business automation methods using ChatGPT (Excel, PPT, crawling, image processing) and Python basics for business automation. Experience in advance the changed future that ChatGPT will create.

This lecture teaches how to generate images using DALL-E3 (DALL-E). Through basic functions, a 3-step prompt strategy, and hands-on image generation practice, participants can become creative image creators.

This is not an investment lecture. It covers data collection, analysis, and visualization using stock market data. You will work with various data formats and learn various text preprocessing techniques. It covers visualization techniques for time-series data, methods for representing scales, and several techniques for interpreting stock price data. This course is about learning how to gain insights through data analysis. It is designed so that the concepts learned through stock price data can be applied to collecting, analyzing, and visualizing other time-series data such as demand, inventory, sales, and traffic volume.

This course is for those who need to introduce data analysis, machine learning, AI, etc. to their work but are not familiar with Python programming. You will systematically learn the core functions of Python required to become a data scientist in a short period of time.

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

This course teaches the process of [idea generation - data collection - verification through backtesting] for developing a Bitcoin cryptocurrency coin bot that can generate automatic profits, as well as the principles of the AIS1, AIS2 investment strategy developed by the instructor, stock selection and buying and selling points and backtesting, and the source code for bot execution.

This lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

Have you always given up on household accounting after just three days, found Excel tedious, and felt that investment strategies were just too difficult? This is a practical course designed to help you manage your income, expenses, and assets as data with AI—even without extensive financial knowledge. AI will analyze and interpret your data, ultimately helping you create 'your own AI financial advisor' to make your own money management decisions.

A course to learn website crawling methods using ChatGPT. Get a preview of the transformed future ChatGPT will create.

This lecture is a follow-up lecture to 'Python Data-Based Stock Quant Investment Part 1'. If Part 1 was more of an introduction, Part 2 is an in-depth lecture that focuses on the entire flow of practical strategy implementation and quantitative investment development. This class focuses on advanced Pandas techniques for handling time series data, and how to implement signal-based strategies and static/dynamic asset allocation strategies that require adjusting asset weights at various intervals based on this. Furthermore, it goes beyond strategy implementation and learns about 'code framework' that directly verifies and backtests various investment strategies with minimal code modifications, how to extend this to improve it so that it can lead to actual investment, and what to watch out for in this process. In addition to the programming component, you can experience the best Python quant investment flow that you cannot find in investment books, blogs, YouTube, etc. by deeply covering theoretical contents such as the two types of return concepts (simple return, log return) and evaluation indicators related to backtesting.

We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)! Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.

GPT lecture with 430K YouTube views! Meet the renewed 2025 online lecture!

# AI Side Hustle King: Aiming for 1 Million Won per Month with 2 Hours a Day I'll reveal every detail of my know-how—raising two kids while generating 15 million won in pure profit / 60 million won in sales per month, working just 2 hours a day. I'm confident I'm the best at utilizing AI in online sales. Smart Store / Coupang / Branding - An all-in-one package covering sourcing / marketing / detail pages / sales This isn't about randomly churning out products based on luck. It's designed to read the market → create a structure that sells → systematically drive exposure and conversion. I've included only what's essential, in the right order, to minimize wasted effort while using minimal time. ## What This Course Does for You - Helps you select "products that sell" when you're unsure what to sell - Teaches you how to read keywords and intent to reach profitable customers first - Shows you strategies to avoid competition by changing "category names" for the same products - Sets up a roadmap for the structure and timing that generates exposure on Coupang and Naver - Boosts conversion rates with detail pages and connects reviews/blogs/ads - Reduces image/content creation time with AI, making 2-hour daily operations possible ## Core Flow Included in the Curriculum **1) Planning Products That Sell** - Selling customer "problems," not products - Extracting ideas from customers' inconvenient habits - Reading market depth through search patterns - Practice: Identify 3 problems your product solves **2) Practical Keyword Research** - Reading "intent" is more important than search volume - Capturing key points in the search → comparison → purchase flow - Differences between Coupang vs Naver keyword research - Practice: Finding keywords for your product **3) Categorization to Avoid Competition** - The principle that the same product enters a different market with a different name - Creating a competition-free position by inventing new category names - Success case analysis + niche exposure structure - Practice: Planning a new category name for your product **4) Platform Strategy (Coupang·Naver)** - Making top exposure through "structure," not "effort" - Understanding Coupang/Naver exposure logic - New category entry timing, reading traffic data - Practice: Creating a platform entry roadmap **5) Detail Pages That Create Conversions** - Customers buy emotions and confidence, not products - Designing storylines with emotion → awareness → persuasion flow - Practice: Rebuilding emotional points in your detail page - Actual production including redesign with ChatGPT/editor **6) AI Image·Content Creation Practice** - Quickly generating needed images with prompt design methods - Utilizing Freepik + visual content creation - Practice: Detail page creation and feedback **7) From Zero-Cost Marketing to Paid Advertising** - Zero-cost marketing: Building trust with review-type/experience-type content - Blogs: Combining exposure-focused writing with conversion-oriented structure - Paid ads: Dissecting Naver/Coupang ad structure, ROAS-based operations - Avoiding auto-bidding traps, designing thumbnails/keywords centered on CTR - Practice: Designing ad promotions for your product ## Why It's Efficient This course doesn't just tell you "what to do"— it connects 'product-keyword-category-platform-detail page-marketing-advertising' in a single line, in the order that actually makes money. 2-3 million won courses? There are many good courses. But I'm confident there's no course with this level of quality at this price! The most fatal thing about a 2-hour-a-day side hustle is working hard in the wrong direction. This course is designed to save that time by making you move based on market and customer intent from the start, and structured so that once you build the system, it continues to generate sales.

* 100% Practical Curriculum: Focused on hands-on data handling rather than grammar-based learning * Essential Machine Learning Prep: A complete summary of data preprocessing techniques required before AI training * Data Analysis Tool Mastery: Conquer core functions of Numpy (numerical operations) and Pandas (data manipulation) * Deriving Visualization Insights: Transferring data visualization skills using Matplotlib and Seaborn * Building Statistical Foundations: Learning basic statistics and group analysis techniques to identify data characteristics

Based on the instructor’s experience of struggling when first learning machine learning, this course has been newly designed—unlike conventional courses—to help you understand machine learning easily and apply it to real-world problems.

Prepare perfectly for the Goorm environment—the biggest challenge of the Big Data Analysis Certification practical exam—on the practice platform provided by Algorun. Practice past exam questions for Task Types 1, 2, and 3 repeatedly in a setting identical to the actual exam environment to gain an intuitive feel for the test rather than just memorizing code. This is a practice-oriented lecture designed to train your hands to move automatically in an environment that differs from Colab or Jupyter.

From meeting preparation to writing minutes, AI does it all! The first in our series on using AI Agents for company work!

The limitations of LLMs? I’ll share practical solutions to real-world problems based on RAG trial and error and operational know-how from working in Silicon Valley.

Have you ever thought, "I wish I had Iron Man's perfect assistant, Jarvis..."?! Complete everyone's Jarvis to help you handle your work wisely!