• 使用fillna()函数–Using Fillna()
• 填充缺失数据–Fill missing values

Learning Objectives

• Discuss key components and characteristics of networks
• Explain the different types of networks
• Explain what the Internet is and what it is used for
• Identify the main networking architectures and infrastructures
• Describe various Web 2.0 and Web 3.0 concepts”

本篇将介绍股市中的一些基本概念以及如何使用pandas和matplotlib库来对股票信息进行统计分析。

• 对全局数据进行统计分析–Compute Global Statistics
• 计算滚动的统计数据–Computing Rolling Statistics
• 布林带–Bollinger Bands
• 计算单日回报率-Compute daily returns

Learning Objectives

• Discuss the importance of having good decision-making skills
• Explain how decision-making changes depending on organizational level
• Discuss the role of information in decision-making
• Contrast structured, semistructured, and unstructured decisions
• Apply a decision-making methodology
• Choose the appropriate technology tool for a given decision-making task

• 创建一个numpy阵列–Creating NumPy Arrays
• 生成随机数–Generating Random Numbers
• 阵列属性–Array Attributes
• 阵列运算–Operations on Arrays
• 最大值的index–Locate maximum value
• 使用time函数–Using time function
• 获取阵列中的元素–Accessing Array Elements
• 数学运算-Arithmetic Operations

Learning Objectives

• Discuss the purpose of a database management system
• Dicide whether it is better to store data using a database management system or another alternative, such as a spreadsheet
• Explain the basic sturcture and components of relational databses
• Describe the purpose of foreign keys in a relational database
• Discuss the purpose of a relational databse schema and explain it notation
• List and describe a number of online databases
• Understand what Big Data is and how businesses can use it to make more informed decisions

• 创建和合并DataFrame–Build a DataFrame in Pandas
• 读取多组数据
• 常用函数–Utility functions
• 数据截取–Slicing
• 绘制多张图表–Plotting Multiple Stocks
• 截取特定数据并生成图标–Slice and plot

Pandas是一个建立在 Python 之上的一个高效的，简单易用的数据结构和分析工具。 Pandas 的核心就是一个高效易用的数据类型：DataFrame。这个数据类型有点类似 R 语言的数据框 (Data Frame)，也有点类似于 Excel 表格，但是比这两种更加适合在 Python 的语言环境内操作数据。在这个数据结构之下，我们可以轻松的对数据进行清洗，整理，归纳总结，合并，转换，计算等等。

• 从CSV文件中读取并输出数据 – Reading in a CSV File
• 选择特定行的数据–Select data in specific rows
• 输出某列数据的最大值、平均值–Find maximum\mean closing value for stock
• 配合matplotlib将数据绘制成折线图–Plotting

Learning Objectives

• Present the main steps in the strategic planning process
• Identify competitive advantage frameworks and discuss their purpose
• Discuss methods for evaluating strategic initiatives
• Explain the concept of hypercompetition

Learning Objectives

• Discuss why it is important both personally and professionally to be an informed information consumer
• Describe information overload, its consequences, and approaches for dealing with information overload
• Discuss the relationship between information overload and information evaluation
• List and describe the dimesions of information quality
• List and describe the elements of an information evaluation framework
• Given an information-related task, evaluate information for its usefulness and believability