인프런 - 라이프타임 커리어 플랫폼

We will make the entire data analysis process more accessible using chatGPT and generative AI. While gaining a better understanding of the data analysis process, you can also learn how to apply AI in practical data science.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

This course teaches Python-based text mining: basic theory and practice. It covers fundamental text mining data analysis for practical or thesis writing.

This content provides basic usage of data visualization using Tableau Public. It is structured so that even non-data experts can easily approach and follow, and guides you through how to create effective reports using visualization charts that can be applied immediately in practice.

Repetitive pipeline management in Data Warehouses (DW), now free yourself from that painful cycle with dbt! Building on the efficiency provided by dbt, become a data analytics engineer who creates higher value through business-centric data modeling, effective data lifecycle management, and more.

The topic is no-code data analysis utilizing generative AI tools. We perform all stages of data analysis, including data collection, analysis, visualization, and report writing, using AI tools such as ChatGPT, Gemini, Claude, Perplexity, and Julius.

This course will solidify the basics of SQL through various problems that can be encountered in the actual IT industry. Solve the problem-solving quests, take the first step toward data analysis, and strengthen your SQL skills that can be applied in real life!

We introduce methods for planners and marketers without data analysis experience or technical skills to try data analysis at the most basic level, complete with various examples. Built on years of hands-on practice with over 2,000 participants in more than 100 companies and public institutions, the content is designed around the most practical analysis methods for data non-experts.

This is a free lecture designed to help those who are new to TEXTOM easily acquire text mining and big data analysis skills through hands-on exercises with examples, rather than focusing on fundamental theoretical explanations.

Data Analysis that Determines Online MD Performance! Learn essential data analysis and strategy formulation techniques necessary for MDs to maximize sales and profit in the e-commerce market.

This is a replay video of the 10th webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your work.

This is a replay video of the ninth webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your work.

This is a replay of our eighth webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Instead of spending time learning about data or learning tools, spend it finding the insights you need from your data.

Hi Guys. Welcome to my Ultimate Google Analytics 4 Course - Complete Guide - 2025! In my course you will learn everything about Google Analytics 4. I have created video lessons on every feature of Google Analytics 4. You will get to see the real practical implementation of how to use every feature of this product.

Are you learning R, Python, and coding for big data analysis? TEXTOM Bigdata Academy online can help you collect, refine, and visualize data in just 5 hours!

This course is designed for all learners, from those just starting with data analysis to those looking to apply it in practical work, to systematically learn the entire process of data processing and visualization using R. First, in the basic setup stage, we start with installing the development environment and learn how to create DataFrames and Series, building a solid foundation in the fundamentals needed for R programming. Next, we move on to learning core functions, focusing on hands-on practice with the most frequently used features in data analysis such as indexing, slicing, sorting, filtering, and handling missing values. After building the foundation, we expand to intermediate functions, intensively covering features essential for actual data analysis work such as date and time data processing, groupby operations, data merging (merge, concat), and function application (apply, lambda). Through this, you can develop the ability to handle complex data structures beyond simple data manipulation. Finally, in the visualization section, we cover various visualization techniques including line graphs, histograms, box plots, and time series graphs to learn how to express data more intuitively. Through visualization, you can also acquire the ability to effectively communicate analysis results. In particular, this course is structured not to stop at theoretical learning, but to allow immediate application of learned content through various examples and step-by-step practice. Therefore, students can naturally develop practical skills just by following the course and further secure data analysis capabilities that can be applied to actual projects.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

This is a special lecture that can lay the theoretical foundation to simultaneously prepare for the Microsoft AZ-900 certification, and as the latest content reflecting the scope of questions as of May 2025, by providing content related to core data concepts, Azure's relational data, Azure's non-relational data, and Azure's analytical workloads in a form combining theory and practice, it can be utilized as a meaningful educational opportunity to not only obtain the certification but also take the first step towards becoming a data professional.

This is a replay of the eleventh webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your work.