Data Analyst Resume Rejected? I'll show you a portfolio that actually works

I have summarized the essential SQL SELECT statements and basic usage of Google Sheets that I learned while working as an analyst at a service company.

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.

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

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

It’s perfectly fine even if you’ve never written a single line of SQL. We start with installing Oracle Database and DBeaver. You’ll complete the entire scope of SQLD Subject 1 (Data Modeling) and Subject 2 (SQL Basics and Applications) by running queries yourself over 15 hours and 23 minutes. It includes practice questions and answers, as well as review lectures where we solve the questions together. You’ll be taught by a data expert with 30 years of experience, who worked as a DBA and SQL tuner at Korea Exchange Credit Card and Hyundai HiCar Direct, and has delivered 100 sessions of SQL lectures at Samsung Electronics.

Through detailed lectures and hands-on practice on the core elements of SQL, we will provide you with a solid foundation to grow into a SQL analysis expert.

SQLD, where should I start? For those of you feeling completely overwhelmed, this is the lecture for you. You will meet a transformed version of yourself after completing the course. SQLD All-in-One Pass!

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

Even without coding experience, you can create a real-world work automation program yourself with Cursor AI. This course is a hands-on project in which you use Python and Cursor AI to automatically collect news comments (Crawling), save them as a CSV file, and analyze public opinion and sentiment, creating a complete project from start to finish. This is not a course where you simply type along with the code. It is designed to let you experience the entire real-world development process, including how to ask Cursor AI effective questions, setting up the development environment, writing automation programs, and troubleshooting errors. By following the course, you will learn step by step—from installing Python and configuring Cursor AI to the basics of work automation, scraping news comments, saving data as a CSV file, performing sentiment analysis, and fixing errors that arise in actual projects. Even if you are new to programming, you will naturally learn how to develop alongside AI, automate repetitive tasks, and build practical skills for using data.

Let's build a solid foundation in Python and solve data analysis problems!

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

- I am a Research Engineer/AI PM running a 4-year-old AI startup. - This video is a lecture for those who want to start studying artificial intelligence "now" or in "2026". - Looking at college students, I see many who have no idea how to get started with artificial intelligence. - I hope that after watching this lecture, you'll be able to start studying artificial intelligence. - For reference, this lecture is not about "using AI in my work" or "getting started with monetization methods using GPT". - This is a video about how students, graduate students, or developers can get started when they want to study artificial intelligence.

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

This is a Python basics course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with Python

Technology should also start with interest. I have prepared a story about a person who analyzes MBTI of his coworkers. I hope that those who have been daunted by SQL will start studying it with enjoyment.

Document writing is the most challenging part for both aspiring and current developers! Create your own portfolio by looking at how successful candidates write their documents! We speak based only on documents that actually passed!

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

This is the easiest introductory course for those new to information security. You can get a feel for real-world tasks by experiencing the five core roles: planning, development, operations, assessment, and monitoring. Start building your own career roadmap for employment or a career transition.

If you're just learning Python and don't know what you can do or what you should do? Let's learn how to use web technologies with Python, such as web crawling, automation, and APIs.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.