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jupyter

Data Science Course There are a total of 25 points possible for this final project.

Your grade will be based on the following Exercises:

Exercise 2 - Create a markdown cell with the title of the notebook. (1 pt)

Exercise 3 - Create a markdown cell for an introduction. (1 pt)

Exercise 4 - Create a markdown cell to list data science languages. (3 pts)

Exercise 5 - Create a markdown cell to list data science libraries. (3 pts)

Exercise 6 - Create a markdown cell with a table of Data Science tools. (3 pts)

Exercise 7 - Create a markdown cell introducing arithmetic expression examples. (1 pt)

Exercise 8 - Create a code cell to multiply and add numbers. (2 pts)

Exercise 9 - Create a code cell to convert minutes to hours. (2 pts)

Exercise 10 -Insert a markdown cell to list Objectives. (3 pts)

Exercise 11 - Create a markdown cell to indicate the Author’s name. (2 pts)

Exercise 12 - Share your notebook through GitHub (3 pts)

Exercise 13 - Take a screenshot of the first page of the notebook. (1 pt)

The main grading criteria will be:

Is the notebook publicly viewable?

Are there, or do there appear to be, at least 8 Markdown cells and 2 code cells?

Are the criteria for each cell fulfilled, as described in the "Guidelines for Submission"?

You will not be judged on:

Your English language, including spelling or grammatical mistakes.

Step-By-Step Assignment Instructions less Assignment Topic:

You will be provided with an empty Jupyterlite notebook which you will launch in the course, to complete this assignment. You will need to include a combination of markdown and code cells. You will likely need to use the Markdown cheat sheet to help you determine the appropriate syntax for your markdown.

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