merge and restructure lessons

pull/49/head
Jasmine 3 years ago
parent 7427e53abe
commit 87d54575ba

@ -0,0 +1,19 @@
# Working with Data: Relational Databases
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -1,6 +1,6 @@
# Working with Data: Spreadsheets
Many data scientists will not pick spreadsheets as their first tool for various and valid reasons. However, it's a popular way to store and explore data because it requires less work to get setup and started. In this lesson you'll learn the basic components of a spreadsheet, how to apply formulas and functions, generating charts and pivot tables, and how to sort and filter a spreadsheet. This lesson provides foundational knowledge of spreadsheets in the rare event that you find yourself working with with them. The examples will be illustrated with Microsoft Excel, but most of the parts and topics will have similar names and steps in comparison to other spreadsheet software.
Many data scientists will not pick spreadsheets as their first tool for various and valid reasons. However, it's a popular way to store and explore data because it requires less work to setup and get started. In this lesson you'll learn the basic components of a spreadsheet, how to apply formulas and functions, generating charts and pivot tables, and how to sort and filter a spreadsheet. This lesson provides foundational knowledge of spreadsheets in the rare event that you find yourself working with with them. The examples will be illustrated with Microsoft Excel, but most of the parts and topics will have similar names and steps in comparison to other spreadsheet software.
## Pre-Lecture Quiz
@ -8,8 +8,12 @@ Many data scientists will not pick spreadsheets as their first tool for various
[Pre-lecture quiz]()
## Introduction
File
Workbooks
![An empty Microsoft Excel workbook with two worksheets](parts-of-spreadsheet.png)
A spreadsheet is a file and will be accessible in the file system of a computer, device, or cloud based file system. The software itself may be browser based or an application that must be installed on a computer or downloaded as an app. When it comes to Excel, these files are also defined as workbooks and this terminology will be used the remainder of this lesson.
A workbook contains one or more worksheets
Worksheets
Columns
Row

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

Binary file not shown.

After

Width:  |  Height:  |  Size: 22 KiB

@ -0,0 +1,19 @@
# Working with Data: Python and the Pandas Library
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,19 @@
# Working with Data: Cleaning and Transformations
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,17 @@
# The Data Science Lifecycle: Capturing
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,19 @@
# The Data Science Lifecycle: Analyzing
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,19 @@
# The Data Science Lifecycle: Communication
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,19 @@
# Data Science in the Cloud: TBD
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,19 @@
# Data Science in the Cloud: TBD
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,19 @@
# Data Science in the Wild: TBD
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |

@ -0,0 +1,19 @@
# Data Science in the Wild: TBD
## Pre-Lecture Quiz
[Pre-lecture quiz]()
## 🚀 Challenge
## Post-Lecture Quiz
[Post-lecture quiz]()
## Review & Self Study
## Assignment
[Assignment Title](assignment.md)

@ -0,0 +1,8 @@
# Title
## Instructions
## Rubric
Exemplary | Adequate | Needs Improvement
--- | --- | -- |
Loading…
Cancel
Save