Python data analysis essential for successful marketers and MDs

No fluff, just the "core" of ChatGPT's 100% utilization. Utilize it well, and your MD, marketing tasks will be 10x faster.

This course is suitable for MDs and marketers who want to analyze large amounts of e-commerce data using SQL, as well as job seekers (new or junior) in development roles who want to understand the flow of e-commerce data.

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: "From environment setup to practical business projects, a data science journey to find answers for e-commerce sales through statistics (38 lectures in total)" Go beyond simply learning how to use analysis tools and learn how to process log data from actual e-commerce fields using statistical processes. After building a solid foundation in core theories—from setting up the development environment to descriptive statistics, probability distributions, and hypothesis testing—you will move on to comparative analysis of actual user app dwell time and purchase conversion rates, and even quantify performance contribution through multiple linear regression analysis! Systematically master the core data scientist competencies of 'data-driven decision-making and analysis automation' through practical projects.

Digital marketing that makes money, such as Naver Shopping and Coupang Partners, requires consistency, but you can approach it easily and effectively with scientific analysis and automation. We will teach you the key secrets of creating a program that collects and analyzes popular products, keywords, blogs, and shopping information.

A course where you can create programs for running a blog using Python and generate additional income through sales and branding.

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.

"From the basics to 7 domain projects, completing the A to Z of deep learning (41 lectures in total)." Go beyond simply calling models and learn how to build clean, efficient deep learning pipelines using PyTorch Lightning, the current industry trend. Grow into a confident AI engineer capable of handling any data by directly implementing 7 projects, ranging from stock price prediction to generative AI, medical imaging, and sound analysis.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

Learn about the latest technology trends and practical insights through presentations by leaders of the Python ecosystem, including NumPy creator Travis Oliphant, Polars creator Ritchie Vink, Python Software Foundation leaders, and Django core contributors. We will also explore the future of Python in the AI era and the role of the community.

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

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Hi Guys. Welcome to my Ultimate SEO Course 2026: Beginner to Advanced SEO with AI! In my course you will learn everything about SEO. I have created video lessons on every feature of SEO. You will get to see the real practical implementation of how use every feature of this product.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

Through this lecture, I expect to be able to lay the foundation for marketing automation. Based on this, you will learn the basic knowledge to automate things other than marketing.

Chatgpt is a program that reads and comments on posts written by my neighbors Lesson on developing marketing automation and neighbor management programs

This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

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Let's build a solid foundation in Python and solve data analysis problems!

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