인프런 - 라이프타임 커리어 플랫폼

Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.

A course that will help you collect, process, analyze, and visualize data to build the ability to make accurate decisions! Through this course, understand the Excel functions required for data analysis and derive the results you want!

Ever seen the actual resume a data analyst used when job-hunting? Resume tips from analysts who got hired without a relevant major! It's all here.

It's not hard to create a resume with Notion. With a friendly guide, you can create a resume that you can complete from start to finish while sitting down!

Are you wondering how to write a resume or prepare for an interview to get a data analyst job? You can learn everything about data analyst hiring at this seminar!

Data Warehousing is one of those topics that many people have heard of, but few truly understand at a conceptual level. This course is designed to provide a clear, simple, and practical introduction to Data Warehousing without excessive theory or the complexity of specific tools. Rather than focusing on a particular technology or vendor, this course explains how to think about Data Warehousing, why it exists, and how data moves from transactional systems into analytical structures that support business decision-making. We begin by understanding the limitations of transactional databases and why organizations need analytical systems as they grow. Next, we examine the nature of raw transactional data, how a single business event is distributed across multiple tables, and how this data is transformed and modeled within a Data Warehouse. Core concepts such as facts, dimensions, grain, star schema, and snowflake schema are explained step-by-step through clear examples and visual explanations. You will also learn how data reaches the Data Warehouse through ETL or ELT processes, why transformation is necessary, and how incremental loading actually works. The course also introduces how business users access Data Warehouse data through reporting and BI tools, including practical examples using Excel and pivot tables. To keep the content focused and easy to follow, this course is delivered using animated explanations and concise audio narration. The total video length is intentionally kept short, allowing you to understand the fundamental concepts of Data Warehousing clearly and efficiently. This course is ideal for those new to Data Warehousing, those working with data who want a more solid conceptual foundation, or anyone who wants to understand how analytical systems are designed before moving on to more advanced or technical implementations.

This is a live meetup video for data professionals with knowledge sharer Naheon Kim :)

Here are some key competencies that are often overlooked by others in the fiercely competitive and complex semiconductor process job market.

Do you want to become a data analytics expert of the future? Grab your chance now! This is a unique opportunity to explore infinite possibilities and learn how to derive powerful insights through cutting-edge artificial intelligence technology and big 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.

Learn SQL not through listing grammar like SELECT and WHERE, but by solving business questions like "What are recent sales?", "Who buys more?", and "What are the Top 5 products?". Practice hands-on in a free environment (BigQuery Sandbox + Looker Studio) and complete analysis results with dashboards. You can gain practical data analysis thinking along with SQL fundamentals without getting bored.

An easy-to-understand introduction to data lecture by Korea's first data humanist, Shin Do-yong! Let's learn data-based thinking to properly read and utilize massive amounts of data!

This is a lecture for non-majors or high school students who are studying data science and artificial intelligence for the first time. We will teach you the concepts of artificial intelligence and machine learning and what efforts you need to make to get a related job.

Digital literacy is the competitive edge to survive in the rapidly changing digital age! Make the information that fills your daily life your own based on an understanding of the technological structure of the digital environment.

Through this lecture, students are expected to be able to check actual materials such as big data contests and self-introduction essays and determine the direction of their studies and job preparation.

Those who take this course will learn the concepts and core principles of RPA and process mining, and learn the differentiated power of RPA development and process mining through practice. They will also learn the linkage method between RPA and process mining through practice.

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!

Where and how should you start preparing to get a job as a data analyst? From data analysis project know-how to the job search experience of senior data analysts! You can hear it all at this February seminar.

If you're curious about a data analyst's career growth story in the IT industry, attend the June seminar!

Are you a non-major hoping to pursue a career as a data analyst? If you're curious how we, who came from logistics, business administration, creative writing, and mechanical engineering, became data analysts, this seminar holds the hints.