Practical Big Data Analysis for Real Work - Pandas Hands-on Course

This course is a basic introductory program for learning how to utilize the Raspberry Pi Pico and various sensors. Learners can understand the basic functions of the Raspberry Pi Pico and develop the ability to control various sensors using it. This course is structured to gradually improve sensor utilization skills based on a fundamental understanding of the Raspberry Pi Pico.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

Learn the fundamentals of Onshape and learn the basics of 3D modeling and CAD.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this course, you will learn about database concepts and related terms (tables, rows, columns, etc.), as well as the basic usage of the Notion database.

Computerized Accounting Level 2 is a nationally recognized certification that evaluates the ability to understand and utilize accounting information. This course aims for passing the Computerized Accounting Level 2 exam by utilizing the KE-LAB program supervised by the Korean Institute of Certified Public Accountants. It is structured to enable systematic learning from the basics of accounting principles to practical program utilization methods, making it easy for complete beginners with no accounting knowledge to follow along.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this lecture, you will learn about data sorting, filters, and advanced part features such as DB relationships and rollup functions.

The Computerized Accounting Level 1 certification is a nationally recognized qualification that evaluates the ability to practically utilize accounting information. This course is supervised by the Korean Tax Accountants Association and is designed to achieve exam success using the KcLep program. The Computerized Accounting Level 1 exam is an intermediate-level qualification test that covers overall tax and accounting processing based on manufacturing companies, including practical problems across all areas of financial accounting, value-added tax, and cost accounting. In this course, you will systematically learn how to handle core accounting tasks such as financial statement preparation, VAT reporting, and cost calculation under conditions similar to actual work environments through the KcLep program. Through this, you can simultaneously improve both practical accounting skills and the competency to obtain computerized accounting certification.

Django is a Python-based web application framework. In Part 3, we will create a data-driven web service using Django and SQLite3.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

The Computerized Accounting Level 1 certification is a nationally recognized qualification that evaluates the ability to practically utilize accounting information. This course is supervised by the Korean Tax Accountants Association and is designed to achieve exam success using the KcLep program. The Computerized Accounting Level 1 exam is an intermediate-level qualification test that covers overall tax and accounting processing based on manufacturing companies, including practical problems across all areas of financial accounting, value-added tax, and cost accounting. In this course, you will systematically learn how to handle core accounting tasks such as financial statement preparation, VAT reporting, and cost calculation under conditions similar to actual work environments through the KcLep program. Through this, you can simultaneously improve both practical accounting skills and the competency to obtain computerized accounting certification.

This course will help you learn JavaScript through theory and practice. It explains step by step so that even beginners can easily understand. Part 2 covers JavaScript functions and events, types of functions, and core libraries.

This is a lecture where you can learn JavaScript through theory and practice. We explain step by step so that even those who are new to coding can easily understand. Part 1 covers an overview of JavaScript, variables, data types, operators, control statements, and the basics of jQuery.

Learn the basic functions of Hancom Office Hangul (Hangul), which is most commonly used in practice.

This is a test preparation course to obtain the MOS Excel 2016 Expert certification.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this course, you will learn about the concept of table properties and practice, how to use the Notion database, and how to build a DB.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

Django is a Python-based web application framework. In Part 2, you will learn how to process data on a website using Django.

This is a lecture to prepare for the Information Processing Engineer practical subject certification, and you can acquire basic knowledge to understand the development requirements of information systems, etc. (Part 1)

This course systematically covers everything from basic data concepts to advanced analysis techniques, designed to equip learners with data-driven decision-making capabilities. First, you'll understand the concepts and characteristics of data, information, knowledge, and insights, examine types and examples of structured, semi-structured, and unstructured data, and learn what role data plays in actual business management and analysis. Next, you'll learn the differences between nominal, ordinal, and categorical data as well as discrete, continuous, and numerical data, and grasp the flow of modern data utilization through the data lifecycle, the background of big data emergence, its effects and characteristics. You'll also learn big data-related technologies and interpretation perspectives, importance, and basic exploratory data analysis (EDA) methods to avoid interpretation errors. Finally, you'll cover the fundamentals of statistics, learning descriptive and inferential statistics, probability and probability distributions, events and sample spaces, discrete and continuous probability distributions, and acquire methods to transform data into valuable knowledge through data mining techniques. Through this course, learners will develop analytical capabilities that go beyond simple data understanding to solve real problems and formulate strategies.

Understand the basic concepts and latest trends of big data, and through technical understanding of big data analysis techniques, extract data patterns to present methods for business application. Through big data, you can create new businesses and develop insights into future business environments.

Learn various features of Looker Studio (formerly Google Data Studio) using GA4 demo data. This includes explanations and hands-on practice with Looker Studio's visualization elements. In particular, marketers and planners who are not familiar with SQL can learn easy ways to integrate and use BigQuery data with Looker Studio. You can learn methods to create dashboards using Looker Studio.

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.

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.

Learn the problem definition and hypothesis formulation process, core competencies for data analysis!

This is packed with things I want to tell junior PM/POs who are struggling because they don't have a good mentor. I will generously share various techniques and Mental Models used by effective PM/POs.

This is a course for PMs who want to utilize data. This course covers the entire process of utilizing data in the PM role, including the flow of work from day 1 of a job change through the start and end of a project. It is an introductory data course that covers data-driven thinking, logical thinking, metric definition, log design, experiment design, creating a data culture, and more, to help you develop critical thinking skills. Although created as a course for PMs, it is structured with content that data analysts would also find beneficial (in fact, many analysts have taken the course). In addition, many people in marketing, design, and business planning roles are also taking the course.

SQLD, where should I start? This course is for you who feel so overwhelmed; you'll meet a changed you after completing it. SQLD All-in-One Pass!

Learn how to process big data from a Silicon Valley software engineer & how to develop big data code with Apache Spark using Python. I am a 14-year software developer who handles everything from web applications to big data and SRE & DevOps with Python. Don't miss this opportunity to learn about Apache Spark, which is essential for big data professionals, in an easy and in-depth way using Python!

ADsP Summary + Past Exam Solutions. Reflects August 2025 46th Exam! (Continuously Updated!)

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.

This is a practical project lecture that collects data and analyzes big data using Arduino and wind sensors.

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.

Finally, a probability and statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice.

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.

This is a specific and practical course for Google Analytics beginners. Instead of focusing on fragmented features, you can learn the practical analysis process using GA4 by conducting scenario-based analysis. It is continuously being updated to match the latest GA4 revisions!

Learn the ADsP certification passing strategy and learn the memorization subjects in summary. Don't hesitate any longer and challenge yourself for the ADsP certification!

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

This lecture aims to systematically learn the essential core concepts and functions absolutely necessary for the Business Information Visualization Practical Exam (Tableau), based on the exam guidelines of the organizing institution. It is structured around practical exercises so that you can freely use the functions frequently tested in the actual exam, and through solving mock exam problems of types A and B, you can improve your understanding of the exam types and your problem-solving skills together. Lecture plan and materials can be checked at https://github.com/hansikyung/Tableau_OneTime.