[Ready to Use] The Easiest SQL Guide from a Non-CS Major | For Planners/Marketers/Sales/Data

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.

Train SQL queries through 50 diverse problems and prepare for real-world analysis environments and coding tests. * If you are new to learning SQL, you will be able to follow along without difficulty by first taking SQL [개념반].

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!

From understanding SQL to using actual functions, Complete preparation for SQLD certification with the latest past exam questions!

We will help those preparing for the Big Data Analysis Engineer Practical Exam with R to prepare for the exam. We will select and inform you of only the essential parts based on the questions that were on the Big Data Analysis Engineer Practical Exam. If you complete the course, you will be one step closer to passing the Big Data Analysis Engineer Practical Exam. We have reviewed the recent exam questions and uploaded related scripts and data. Also check out the latest exam information.

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!

Skip the complicated theories and concepts and just write SQL statements, practice, and follow along!

Learn how to use the most commonly and importantly used advanced T-SQL queries in practice from a SQL Server expert consultant and Microsoft MVP, so you can write SQL in a more SQL-like way.

This course aims to acquire the state-authorized SQLD certification. SQLD refers to a developer who, based on database and data modeling knowledge, can write accurate SQL for manipulating and extracting data while developing application software.

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.

Easy and fun SQL stories learned from professional instructors! Lectures are conducted systematically and step-by-step for beginners. We offer opportunities to learn with sufficient repetition through a 3-step learning process.

It's now an era where data speaks, not intuition. Learn data analysis easily with ChatGPT!

Students who want to learn Hadoop and Big Data will celebrate the amazing advancements in experiencing the world of Big Data through this course!

ADsP Certification All-In-One Course! Ultra-Short Term Completion! Reflecting 2025 August 46th Exam! (Continuous Updates!)

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.

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

Let's understand data analysis suitable for advanced retail business and learn how to utilize tools utilized in the industry!

If you are thinking about using data in your work, get some great tips from this seminar.

Let's use the R language, which processes data easily and conveniently, to develop computer program utilization skills related to one's major, even for non-computer majors!

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.