▶ ︎ Lectures that have been recognized by universities and large companies can now meet Class 101 online

Designed for non-majors,

Python basics for data analysis

Recently, demand for data analysis and artificial intelligence services has exploded. Now everyone must have the ability to analyze data using programming.

When it comes to “programming,” a barrier that feels so high, it's a strange term!

though We're not trying to learn computer science. You must learn a programming language for 'data analysis' that can be applied directly to practice.

Why do we use Python

Should I learn?

▶ ︎ Programming language demand survey

Among so many languages, it's clear why you should learn Python first. Python is the number one programming language most used by data analysts! A language that is overwhelmingly more versatile than any other language, and is easy to learn even for beginnersIt's.

If you have a good foundation in Python, you can use it to solve all tasks such as 1) processing simple repetitive tasks, 2) data visualization, and 3) predictive analysis.

In other words, The most suitable language for non-majors to use in their workIt can be said that.

Fastest to work

Gather only applicable content

▶ ︎ Systematic Python Data Analysis Curriculum

We have prepared it so that non-majors can learn as quickly as possible and use it in their work. The most basic “Python programming language” class for learning data analysis!

1. Minimize academic elements, “How can I use it” from a practical perspectiveI would like to inform you.
2. In connection with the future data analysis process, Fundamental elements required for data analysisI'll let you know what you hear.
3. Not programming Course for 'data analysis'As, it doesn't use difficult and complicated code.

Refined by dozens of experiences

Curriculum for non-majors only

Based on dozens of lectures and consulting experience, I was able to identify all the most difficult points for non-majors. I will help you get started with Python quickly and without difficulty with the course materials and curriculum developed by accepting all the feedback from non-major students.

What kind of things

Can I learn?

STEP 1. You'll be fully introduced to data analysis and Python.

Instead of copying and pasting random Python code, we will help you not to be afraid to encounter 'any data' in practice through the process of learning the principles and understanding the data.

STEP 2. Theory alone isn't fun, and they also practice making actual programs.

Using the Python basics I learned earlier, I will create programs for various situations, such as programs that work under specific conditions and programs that work in repetitive situations. You can write your own programs and have fun getting familiar with Python until the end without getting bored.

STEP 3. How do you use Python in practice? You can experience it for yourself.

No classes ending at the basics! You can understand and experience Pandas, Python's basic library, and draw a road map for future data analysis.

Don't put it off any longer,

Create your own strengths with Python

▶ ︎ Student employment & turnover companies

Many non-majors have already listened to this class I'm using Python in my work, and I'm also successful in my career transitionI did it. It's not too late, either. It's not difficult for me to start a new field, and I'll join you!