인프런 - 라이프타임 커리어 플랫폼

This is a practical text mining project. This is a lecture that covers everything from data collection to sentiment analysis and data visualization all at once!!

Instead of explanations focused on fundamental theories about 텍스톰(TEXTOM), we enable you to develop text mining and big data analysis capabilities through practical hands-on exercises.

SSIS, SSAS, MachineLearning, BI, ETL. You can learn important technologies that cannot be found in domestic books, YouTube, lectures, blogs, and academies. I also recommend it to those who are interested in employment at domestic large companies, American large companies, and American state funding agencies.

We cover how to discover previously unknown signals of business and technological change through the collection, analysis, and visualization of patent big data!

Understand the core of big data business and provide insights on how to utilize it in marketing strategies in the field.

Real-time data processing is now essential, not optional! Learn to handle real-time streaming smartly with Apache Flink. Batch? Streaming? Even complex concepts can be understood easily and quickly. Hands-on practice configuration where you'll get the hang of it by directly working with Kafka and DB integration! In a world driven by data, start first with Flink.

Big data is being developed by integrating with various business areas. In particular, big data is useful for identifying the latest business trends. Therefore, after studying big data application cases in marketing, finance, and healthcare, we aim to learn how to extract data patterns through a technical understanding of big data platform construction and analysis techniques, and apply them to business. **Business environment analysis and new business creation through big data!** This is the beginning of the concerns for all professionals seeking new business environments in the era of the 4th Industrial Revolution.

If you are curious about the various possibilities and future prospects of generative AI, including ChatGPT and Clova X, that can be used for data analysis, come to our seminar this May!

If you are preparing for a data analyst job or career change and were curious about hearing from someone in the field, ask a data analyst anything!

A current professional data analysis instructor at a large company who passed the Big Data Analysis Writer and Practical exams in one go will help you prepare quickly by summarizing the key points.

This course covers practical strategies for leveraging AI in the machinery and metal processing industry to enhance productivity and quality. It analyzes key process data from CNC, welding, cutting, and other operations, explaining how AI technology is applied to reduce defect rates, enable predictive maintenance, and manage worker safety through real-world case studies. Learners will understand AI-based processing optimization methods that can be immediately implemented in the field, from small and medium enterprises to large corporations, and gain insights to realize manufacturing innovation in global competition.

Big data era!! Statistics are essential for analyzing and utilizing data! Let's look at basic statistical common sense that can be used to extract and utilize insights on customers and markets.

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!

It improves logical thinking skills, develops an understanding of how to use programming tools, and develops the ability to design algorithms for problem solving.

In the era of big data, data science is gaining attention as a solution for scientific business decision-making. Through this course, you will learn about various data analysis methods and utilization methods and be able to apply them to your work.

Given the need for data analysis experts, this course is designed to obtain the nationally certified 'Data Analysis Associate Professional' qualification.

"There's data, but I don't know how to interpret it." This is the most common concern among people just starting with on-chain analysis. In this course, a 10-year veteran data analyst and on-chain researcher fully reveals all the tools and interpretation techniques used in real market analysis. ㆍWhich indicators react first before coin prices move ㆍWhether whales are accumulating or dumping ㆍHow to read market sentiment through bridge and stablecoin flows ㆍHow to extract data through Etherscan and Dune without programming ㆍAnd the interpretation patterns and strategies used by professional analysts This course is designed not to stop at "just looking" at on-chain data, but to help you build an analytical framework that leads to investment decisions.

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

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.

We will provide information on 3D spatial information data acquisition and mapping methods using drones, LiDAR, etc., and data visualization tools and techniques based on the application areas of 3D spatial information data, incorporating various case studies.