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Data Science

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Data Analysis

Python & Data Preprocessing Made Easy with HeartCount

This book covers basic usage and data preprocessing methods for Python beginners/non-developers. As an appendix, we also provide a preprocessing method using the ChatGPT code interpreter.

7 learners are taking this course

  • HEARTCOUNT
파이썬입문
데이터처리
Python
Pandas

What you will learn!

  • Python Basics (Basic Grammar, Core Concepts)

  • Data preprocessing types that are frequently encountered in practice

  • Data preprocessing using ChatGPT code interpreter

  • Data Visualization

Python basics and usage methods for non-majors

Learn 'data preprocessing' methods directly from industry professionals.

Why should we learn Python?

  • Even non-data professionals can quickly process the data they need
    Have you ever felt hesitant to ask developers for help with simple data queries and preprocessing? Due to various reasons such as building a data-driven business culture, ad-hoc analysis, and productivity improvement, we've entered an era where non-developers who can handle Python are welcomed. HeartCount will help you get started.

  • You can automate repetitive tasks
    Much faster than Excel, handling even large datasets with ease for preprocessing and analysis work! Try efficiently performing repetitive tasks that frequently occur in practical work, such as merging multiple sheets or files, and filtering to import only the data you need.

The unique advantages of this course

  1. NO prior knowledge required! Just prepare your PC.
    We explain from a beginner's perspective, using beginner-friendly language. In particular, you can easily review what you've learned through script-format Notion pages that contain detailed summaries of the lecture content.

  2. The content is designed to be useful for non-developers and non-data professionals.
    Most Python courses are tailored to the perspective of data engineers and data analysts, which can be confusing for practitioners whose main job isn't data-related when it comes to knowing how much they need to learn. This course is designed for practitioners who don't have data analysis as their main job but want to handle data to some extent using Python.

  3. I've prepared this course with a focus on hands-on practice so you can quickly become familiar with Python.


    You can quickly master what you've learned by doing code practice for every topic. At the end of the curriculum, we provide practice problems and model answers so you can review everything you've learned once more.

  4. For life, pick and choose only the content you want to hear.
    For those who urgently need to acquire knowledge right away, we have prepared a detailed curriculum that allows you to quickly select and listen to only the content needed for practical work. Conveniently learn the content you need whenever you need it

  5. Communicate with community members to learn and grow more
    Meet other students through the HEARTCOUNT community's Slack channel, and share knowledge and information by communicating with practitioners interested in data.
    HEARTCOUNT Community Official Page>

Instructor Introduction

🧑‍🏫Introducing Instructor Ahn Gil-seung!

  • Current) Senior Data Scientist at a Large Manufacturing Company

  • Ph.D. in Industrial Engineering (Main research areas: Data Science, Machine Learning, Mathematical Optimization)

  • Data science instructor specializing in data preprocessing using Python, machine learning automation systems, and related fields


  • Books: ,

  • Email: gils_lab@naver.com

  • Blog: https://gils-lab.tistory.com/


Course Preview

Theory that's easy for beginners to understand and hands-on practice to quickly make theoretical knowledge your own.
We've prepared it systematically. Check it out with the preview video.

👀 Theory Lecture Preview

👀 Hands-on Lecture Preview

✔️ Please refer to the lecture practice environment!

  • This course uses Python in the Anaconda and Jupyter Notebook environment.

  • Anaconda and Jupyter Notebook can be installed and used on Windows, Linux, and macOS.

  • Installation is available at this link.


  • We provide the code used in the lecture exercises.

  • The course practical exercises are conducted in a Windows operating system environment.

Benefits Exclusive to This Course

  • Course Review Event

    • We will give a 10,000 won discount coupon for the Heart Count Data lecture to everyone who thoughtfully leaves a course review of 2 lines or more.

  • Lecture 1+3 Event

    • If you subscribe to HeartCount Premium (starting from 90,000 won per year), you can access all four data courses, each normally priced at 99,000 won, for free for life. (Please refer to the information box below for details)


Take three more data courses for the same price!

When you subscribe to HeartCount Premium

All data courses from HeartCount

'Free' lifetime access coupon available.


360,000 (regular price) >90,000 won (HeartCount user benefit price)

Use HeartCount and receive 'Lifetime Free Access to Data Lectures' for just 90,000 won per year.

[HeartCount's Subject-Based Data Lectures]

More will be added continuously in the future :)


🖱 Go Subscribe to HeartCount Premium


What is HEARTCOUNT?

A tool that enables data analysis, visualization, and insight discovery without requiring specialized knowledge: HEARTCOUNT

From individual record-level visualization to automatic chart interpretation, factor analysis, and optimization rule discovery.
With HeartCount, anyone can become an analyst.


🖱Visit Homepage Now

💸 How to Use HEARTCOUNT User Exclusive Coupons

  1. Heart Count Login (Get Started with Google)

  2. Click the 'Upgrade' button to subscribe to HeartCount Premium (starting from 90,000 won per year ~)

  3. Check your inbox for the 'Free Data Course Coupon'

  4. Access Inflearn > 'My Page' > 'Coupon Box' > 'Enter Discount Coupon Code'

  5. Using Coupons on the Payment Page After Course Registration

※ We notify you of coupon expiration dates via email. Coupons cannot be used after the specified date, so please use them within the given period.
※ For related inquiries, please contact the support team at (support@idk2.co.kr).

Recommended for
these people

Who is this course right for?

  • For those who are new to Python

  • For those who want to quickly learn Python through hands-on practice

  • Those who want to preprocess data using Python in practice

  • People who are not in the developer/data field but want to do simple data preprocessing themselves

  • People who need data automation

  • Those who need practical data lectures

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Curriculum

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26 lectures ∙ (4hr 43min)

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