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Data Science

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Data Analysis

Python Data Analysis and Visualization with Pandas

This course teaches you how to analyze and visualize data using pandas, Python's powerful data analysis library.

10 learners are taking this course

  • admin0013
  • sunny025
데이터시각화
통계분석
공공데이터
Python
Pandas
Matplotlib

What you will learn!

  •  Efficient big data analysis and visualization

  •  Data preprocessing and exploratory data analysis

  •  Analysis and use of public data

  •  Utilize the latest tools and libraries


In today's corporate environment, data science is gaining traction. Data science is a comprehensive approach to analyzing large amounts of data, combining principles and practices from mathematics, statistics, artificial intelligence, and computer science to extract meaningful business insights. Understanding how to efficiently analyze data using statistical techniques, a core component of data science, is crucial. This course teaches you how to analyze and visualize data using pandas, a powerful Python data analysis library. This course provides an excellent foundation for improving your data analysis skills required in the workplace by leveraging pandas's fast and efficient data analysis capabilities to extract meaningful information from data, explore its characteristics, and analyze it using statistical techniques. You will also learn how to integrate pandas with visualization libraries like matplotlib and seaborn to create various graphs. This will enable you to visually understand data characteristics and patterns. This course will provide you with the opportunity to quickly and easily analyze big data using pandas. By applying what you've learned to real-world datasets, you'll gain valuable insights and practical application in your work. Using Python's pandas library—a fast, efficient, high-performance, and easy-to-use tool—you'll effectively analyze big data. You'll also learn how to visualize the analyzed data in various graphs using tools like matplotlib and seaborn.

Recommended for
these people

Who is this course right for?

  •  Learners who want to learn pandas, a powerful analysis library in Python

  •  Learners who want to perform various types of data analysis, such as financial data, corporate information, customer information, marketing information, and demographic analysis.

  •  Learners who want to perform data preprocessing, analysis, and visualization

  •  Developers and operators who want to write programs using Python's advanced libraries

  •  Learners who want to perform data analysis tasks such as log analysis

Need to know before starting?

  • Python Basic Grammar

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Answers

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https://ssamz.com


About us

  • IT 기업 교육 현장에서 20년 넘게 다양한 학습자들과 호흡하며 IT 관련 교육을 진행한 분야별 최고의 쌤들(SSAMZ)이 모여서 설립한 회사입니다.

  • 쌤즈는 온라인 강의뿐만 아니라 기업 맞춤형 대면 교육을 통한 코칭, 멘토링을 제공하여 소프트웨어 전문가를 꿈꾸는 학생에서부터 현업 개발자, 엔지니어들을 양성하는데 힘쓰고 있습니다.

 

쌤즈가 지향하는 교육

좋은 강의는 강사의 전문성 + 지식 컨텐츠 + 전달 능력에 의해 결정됩니다. 쌤즈는 최고 경력의 전문 강사들의 고품질 컨텐츠를 바탕으로 수강생 눈높이에서 이해하기 쉽도록 전달하는 교육을 지향합니다.


  • 교육 문의 : admin@ssamz.com

 

 

Curriculum

All

43 lectures ∙ (8hr 8min)

Published: 
Last updated: 

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