We will cover the major Python libraries that you must learn to become a data analysis expert.
A library for exploratory data analysis (EDA)
Handling multidimensional arrays with the Numpy library
Handling Data Frames with the Padas Library
Who is this course right for?
People who want to become data analysts after learning Python
People who want to discover insights through data analysis
Need to know before starting?
Python
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Students
41
Reviews
6
Answers
4.8
Rating
8
Courses
정보기술개발, 인공지능, 정보기술전략계획분야 스타훈련교사입니다.
20년 이상의 강의 경력과 고용노동부에서 인정하는 강의력으로 여러분에게 모든 기술을 전달하고자 합니다.
자바전문가그룹(JavaSpecialist.co.kr)이 인공지능의 성장을 고모합니다.
All
19 lectures ∙ (5hr 47min)
are provided.
NumPy package
10:34
Numpy array
50:37
Copy and View
06:21
Advanced Indexing
24:42
Linear Algebra
25:01
Pandas package
08:57
Create a data frame
28:53
Name it
10:00
Partial data query
12:20
Delete and add data
14:44
Sort dataframe
09:29
series
10:03