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Certificate (Data Science)

Data Analysis Basics: Python Fundamentals and Practice for Non-Majors

This is a basic Python 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

8 learners are taking this course

  • algolearn
빅데이터분석기사
빅데이터분석
파이썬입문
파이썬
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Python
Machine Learning(ML)
Big Data
Coding Test
AI
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What you will gain after the course

  • You can learn the basics of Python programming.

  • You can acquire the foundational knowledge needed to learn data analysis and machine learning.

  • This is the first step toward passing the Big Data Analytics Engineer practical exam.

Python Basics for Data Analysts

Learning Python! A data analyst's approach to learning Python is different from a developer's.

  • Developers aim to build high-quality systems. Naturally, they think in a system-centric way.

  • However, data analysts think in a data-centric way. Therefore, learning Python should be different.

  • We focus on essential training for data analysts.

Are you perhaps having these concerns?

If you've been pondering these questions, I recommend this course to you.

  • After taking this course,


  • You can selectively learn the essential tools used in data analysis.

Learning Content

  • Providing the most efficient learning roadmap


Important Notes Before Enrollment

  • This course is a foundational course for beginner and novice data analysts.

  • If you're aiming to become a system development expert, please take other courses.


Practice Environment

  • Operating System and Version (OS): Any

  • Tool used: Google Colab environment (free Python development environment)

  • PC Specifications: Not applicable

Learning Materials

  • Program examples, Google Colab notebook files, PowerPoint materials

  • When studying, please refer to the Google Colab usage guide.

Prerequisites and Important Notes

  • No prior knowledge needed for this introductory course.

  • Practice by writing code yourself.

  • This is the first course in the Python data analysis library learning path.

  • The lectures and learning materials are the property of [Algorun Data Analysis Research Institute]. Unauthorized reproduction and distribution are prohibited.

Recommended for
these people

Who is this course right for?

  • Someone preparing for the Big Data Analytics Engineer practical exam

  • Those who want to learn data analysis but don't know Python

  • I want to learn machine learning but don't know Python

  • Those who want to process data but are not familiar with Python

  • Those who want to learn artificial intelligence but are new to Python

Need to know before starting?

  • This is an introductory course. No prior knowledge is required.

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498

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70

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Answers

4.7

Rating

6

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Curriculum

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12 lectures ∙ (1hr 28min)

Course Materials:

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