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Intro to Data Analysis

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Python and Jupyter Notebook

2:34 with Megan Amendola

See how Python is used to interact with data and create an analysis.

The look of Jupyter Notebook may have changed since the creation of this video. However, the core functions and features remain the same. If anything, you'll find that you can do more with Jupyter Notebooks the more it's been updated!

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    Python is a programming language many data analyst use in their work. 0:00
    It can gather data from spreadsheets, databases, or even the web. 0:05
    It is tools to clean and organize data and 0:09
    can also combine data from different sources. 0:13
    There are a variety of ways to use Python to create powerful analyses. 0:18
    Many data analysts use a tool called Jupyter Notebook to write 0:23
    their scripts and find their answers and insights they're looking for. 0:27
    Let's take a look at Jupyter Notebook. 0:32
    This is the Jupyter Notebook application. 0:36
    Inside of these boxes, you can write Python logic, 0:38
    And then run it to see the output. 0:45
    You can also view data, 0:47
    create charts, and 0:56
    graphs, and more. 1:05
    These notebooks can help you organize, layout, and share your analysis. 1:11
    Notebooks can also be opened inside of Jupyter lab. 1:21
    This is the newer way to interact with notebook files, 1:24
    and is now the preferred way to interact with these files. 1:31
    You'll likely see both around the web. 1:34
    And they work the same way. 1:39
    Jupyter Notebook paired with some powerful Python libraries like NumPy and 2:01
    Pandas can take your analyses to the next level. 2:07
    These tools have become more popular in recent years and 2:12
    will give you more flexibility in the job market. 2:15
    Python is also used for a wide variety of tasks and jobs beyond data analysis, 2:19
    giving you the ability to switch up your career if you want. 2:25
    Join the ever growing community of Pythonistas. 2:29

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