인프런 - 라이프타임 커리어 플랫폼

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.

The Certified Big Data Analyst exam is a nationally recognized certification administered twice a year. This course provides detailed lectures covering everything from the basics to the core concepts to help you prepare for the practical exam. The exam difficulty increases with each iteration. To address this, we provide a range of essential content, starting with the fundamentals, to improve your chances of passing.

At a time when training data analysis experts is needed, this course is designed to obtain the nationally recognized 'Associate Data Analyst' certification.

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.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

The SEO Specialist & Organic Growth Program is a focused, practical course bundle designed for anyone who wants to build deep expertise in search engine optimization and organic traffic growth. This program combines advanced SEO strategies with Google Analytics 4 to ensure that every optimization effort is measured, evaluated, and improved using real data.

Search Engine Optimization & Google Analytics Mastery is a practical, results-focused program designed to help you grow websites through organic search and measure performance with precision. This bundle combines SEO strategy, Google Analytics 4, and Google Tag Manager to give you a complete system for attracting the right traffic and making informed decisions based on real data.

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

What does the 'Business Information Visualization Competency Certificate' course teach? This certificate course focuses on developing the ability to analyze data well, visualize it in an easy-to-understand way, and clearly and effectively convey necessary information when making important decisions in a company or organization. In simple terms, it's a course that teaches not just how to view data, but how to find the hidden meaning within it, and how to express it using images, tables, and graphs so that it can be clearly explained to others. Through this course, you will: Develop the ability to think strategically through data, cultivate practical skills immediately applicable to real work, and enhance your expertise and competitiveness. Through this lecture, develop the ability to connect management and data, and take another step forward as an expert in understanding and explaining data.

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.

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.

This is a lecture on learning text mining analysis techniques, big data analysis techniques, word frequency analysis, word cloud visualization, morphological analysis, and topic modeling analysis techniques utilizing Python and ChatGPT, covering how to utilize text mining data analysis techniques necessary for writing papers and basic application methods for research papers.

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.

ADsP Certification All-In-One Course! Ultra-Short Completion! Reference Book: "Everyone's ADsP Cheat Sheet" https://wikidocs.net/book/18829

I'll explore ADsP certification passing strategies and learn summarized memorization subjects. Reference book: "Everyone's ADsP Cheat Sheet" https://wikidocs.net/book/18829

This course was created for those who are preparing for the Big Data Analyst practical exam. It will help you pass the exam by learning as concisely as possible, and it will also provide an opportunity for those who are considering their career path to lightly learn about coding and machine learning.

The only lecture that delves deeply into a specialized field! A subject-specific industry expert will show you the fastest way to pass the exam through a thorough analysis of the exam trends!

This lecture is a data analysis lecture based on the book 'Study R Data Analysis on Your Own'.

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.

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.