Python for Data Analysis: Pandas & NumPy

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在此指導項目中,您將:

Understand python programming fundamentals for data analysis

Define single and multi-dimensional NumPy arrays

Import HTML data in Pandas DataFrames

Clock2 hours
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this hands-on project, we will understand the fundamentals of data analysis in Python and we will leverage the power of two important python libraries known as Numpy and pandas. NumPy and Pandas are two of the most widely used python libraries in data science. They offer high-performance, easy to use structures and data analysis tools. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

  • Data Science
  • Data Operations
  • Data Analysis
  • Python Programming

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Task #1: define single and multi-dimensional NumPy arrays

  2. Task #2: leverage NumPy built-in methods and functions

  3. Task #3: perform mathematical operations in NumPy

  4. Task #4: perform arrays slicing and indexing

  5. Task #5: perform elements selection (conditional)

  6. Task #6: understand pandas fundamentals

  7. Task #7: pandas with csv and html data

  8. Task #8: pandas operations

  9. Task #9: pandas with functions

  10. Task #10: perform sorting and ordering in pandas

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

授課教師

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