Python Big Data Analysis Basics

This course introduces core principles and practical uses of various generative AI technologies (text, images, video, music), helping foster creative problem-solving skills.

It's structured to enable understanding of ChatGPT and text generation AI, learning effective real-world use, practice via diverse examples, and direct application.

Learn the basic grammar of the Python language, practice writing simple logic using it, and learn about various libraries.

Through this lecture, you can learn the basic grammar of the C language. Instructor: Professor Eunmi Jeong (SW Convergence Education Center, Andong National University)

This is a web programming course for beginners. It is designed to help you learn the basic grammar and usage of HTML, CSS, and JavaScript step by step. It covers the core elements of web development, such as web page structure and design, and implementation of interactive features.

You can solve everything from the concept of the metaverse to its utilization at once. It will be of great help to those who are new to the metaverse.

This is a special lecture summarizing the key points for passing the NCS revised Information Processing Engineer practical exam. You can efficiently study for the CBT written exam and written practical exam.

This is a special lecture summarizing the key points for passing the NCS revised Information Processing Engineer written exam. You can efficiently study the CBT written exam and written practical exam.

● Learn from the basics of data analysis to machine learning using Orange 3 software ● Strengthen practical skills through hands-on practice using actual datasets

This course aims to understand IoT concepts and develop practical skills through hardware construction and coding using Arduino and Micro:bit.

Learn the basic grammar and object-oriented programming of Java.

Using block coding Entry, foster computational thinking and problem-solving skills, and through Entry AI tools, learn artificial intelligence concepts and practice simple machine learning.

Through this lecture, you will understand artificial intelligence and learn App Inventor programming to create smartphone apps using artificial intelligence technology.

Learn how to break down complex concepts into easy terms and apply them to collaborative projects from the ground up.

This is a machine learning and deep learning project preparation course that uses Python to process Boston Marathon big data into the desired format and uses various charts and technologies to create valuable information.

Let's collect and refine data through public data, web scraping, etc. and analyze the data exploratively!

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

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

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

Let's build a foundation for using Python and solve data analysis problems!

Hello! Have you ever gotten tired of repeatedly writing the same code over and over again while doing data analysis? 😫 Now let's give your projects wings with PyCaret! 🚀 This course will teach you the secret to automating most of the tedious and complex machine learning processes with just 5 lines of code. Here's how this course will transform you! ✨ Master Real-World Projects: 📈Customer purchase prediction (classification), 📉Medical cost prediction (regression), 🧩Customer grouping (clustering), ⏳Airline passenger prediction (time series)! You can develop 'real' problem-solving skills by following along with 4 core projects hands-on. Acquire Expert Skills: But that's not all! 🤖 We'll also teach you expert skills like managing your models with MLOps and creating API servers with just a few clicks. Pretty amazing, right? Protect Your Work-Life Balance: Most importantly, we'll drastically reduce your repetitive tasks and help you focus only on core analysis. Leaving work on time is a bonus! 😉 Whether you're not yet comfortable with coding or you're a current professional wanting to explosively boost productivity, everyone is welcome! 👋 Shall we transform together into a '10x faster data scientist'?

This is a basic Python course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with Python

Learn how to collect data from the web and create a supervised learning model for machine learning!

This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

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

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.

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

Through this lecture, you can learn about understanding SQL and databases, SQL syntax, database design for practical application, database utilization through programming, and even data analysis application cases.

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!