Data Scientist (Scientist) /Analyst

Practical class that explores the work cycle

What if I've learned all my skills as a data analyst/scientist, but I don't have enough portfolios to get a job? If you are an aspiring data scientist/analyst, create a portfolio necessary for employment.
Want to go one step further and upgrade from your current level? If I am currently working in a data-related job, I will work on a mid-level project to increase my salary and ransom.

Data scientist misconceptions

데이터 과학자는 예측 모델을 만드는 일만 한다?

▶ ︎ Do data scientists only create predictive models?

It's not. Generating predictive models is only one part of a data scientist's primary job. From problem definition for projects, data analysis, predictive model generation, and automation using cloud services. In practice, they are also responsible for all processes of data analysis.

Therefore, in order to become a “data scientist,” you need to be able to clearly understand what this job does. Through this class While looking at the process of developing an idea into a project, we look at the minimum coding skills required, how to analyze data, and how to automate this process using cloud services along with predictive models.

데이터 과학자는 어떤일을 하나요?

▶ ︎ What does a data scientist do?

A work-related portfolio completed as a project

데이터 과학자 실무 프로젝트

▶ ︎ Data Scientist Practical Project

💡 POINT 1. Understanding data science

데이터 과학 이해하기

To understand data science and find gaps, you must first be able to see the forest. We take a close look at each step from idea to project.

💡 POINT 2. Refining the project

프로젝트_의견 1 프로젝트_의견 2 프로젝트_의견 3

While creating a portfolio or starting a project, there will be many opinions. How should we gather these opinions and start the project?

💡 POINT 3. From data analysis to automation

데이터 분석부터 자동화

Data analysis, predictive models, automated pipelines, and even working smartly on all of this with Python coding! Here's everything you need to know. Use it for personal portfolios and projects.

💡 POINT 4. From signing up for AWS to implementing lambda

Just seeing how cloud services are used can change the way you look at a project. I'll tell you more about everything from signing up for Amazon Web Services to implementing the actual lambda service.

클래스를 꼭 들어야 하는 이유

▶ ︎ Why you must take a class

※ This course does not cover monetization. After taking a class and learning the content steadily, you can realize monetization by creating a website that conveys information using an API and posting advertisements.

Of the people who met me first

A collection of vivid reviews

생생한 후기 모음

Many people have already watched my videos and told me that statistics and data science are easily accessible and understandable. Reflecting the support of many people, I have prepared a class where I can incorporate all of my practical work.

To this class 1) For job-ready students, a portfolio essential for employment and turnover, 2) A project that can raise ransom for office workersWe'll help you become.

이런 분들에게 추천합니다

▶ ︎ Recommended for people like this

크리에이터 경력

▶ ︎ Creator career

Analytics, predictive models, and even AWS automation! Salary boosting data scientist portfolio completed

Analytics, predictive models, and even AWS automation! Salary boosting data scientist portfolio completed