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在线课程学习 NumPy

探索118数据科学课程和免费资源，涵盖您需要了解的一切NumPy.

概述

NumPy is the fundamental package for numerical computing with Python.

相关培训

118 学习机会
Coursera
University of Colorado Boulder
BiteSize Python: NumPy and Pandas
NumPy Pandas Python
Coursera
Packt
Data Processing and Exploration with NumPy & Pandas
NumPy Pandas Python
Coursera
Packt
Data Science Foundations: NumPy, Pandas & Visualization
Matplotlib Microsoft Excel NumPy Pandas Python
DataCamp
Introduction to NumPy
Izzy Weber

4 小时

初学者

$300
Matplotlib NumPy Pandas Python Tensorflow
DataCamp
Introduction to NumPy

4 小时

初学者

54454
NumPy Python
Coursera
Packt
Intro to NumPy
Jupyter NumPy Python
Codecademy
Learn Statistics with NumPy

5 小时

$240
NumPy Python
Coursera
Coursera
Logistic Regression with NumPy and Python
Jupyter NumPy Python Seaborn scikit-learn
freeCodeCamp
Numpy
NumPy Python
Free Data Science Cheat Sheets
DataCamp
NumPy Cheat Sheet: Data Analysis in Python
NumPy Python
Coursera
Packt
NumPy, Matplotlib & Pandas – Data Science Prerequisites
Matplotlib NumPy Pandas Python Scipy
Coursera
EDUCBA
NumPy & Pandas: Analyze & Manage Retail Data
NumPy Pandas Python
Coursera
EDUCBA
NumPy & Pandas: Analyze & Transform Data
NumPy Pandas Data Analysis Data Cleaning Data Sets Optimization Statistical Analysis
Coursera
Coursera
Principal Component Analysis with NumPy
Jupyter Matplotlib NumPy Python Seaborn
Coursera
University of Michigan
Statistics with Python Using NumPy, Pandas, and SciPy
NumPy Pandas Python Scipy
Coursera
EDUCBA
AI Foundations with Python: Build & Visualize
Anaconda Jupyter Matplotlib NumPy Python
Udacity
AI Programming with Python

3 月, 10 小时/星期
Matplotlib NumPy Pandas PyTorch Python
edX
IBM
Analyzing Data with Python

5 星期, 3 小时/星期

初学者
NumPy Pandas Python Scipy scikit-learn
DataCamp
Bond Valuation and Analysis in Python
Joshua Mayhew

4 小时
NumPy Python
Coursera
University of Pennsylvania
Data Analysis Using Python

17 小时

初学者

5309
Jupyter Matplotlib NumPy Pandas Python
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职业相关性

NumPy is most likely to appear on 数据科学家 job descriptions where we found it mentioned 4.7 percent of the time.

1. 数据科学家
4.7%
2. 数据工程师
3.0%
3. 数据分析师
0.9%
4. 商业分析师
0.1%