Move from Excel to Python with Pandas Transcripts
Chapter: Welcome to the course
Lecture: Welcome!

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0:00 Hello and welcome to my course Excel, to Python. We're so excited to have you here.
0:08 Have you been using excel a lot in your data work and feel like there has to be a better way?
0:13 Or maybe you have heard the Python is a good language to learn for data science and you will see how you could apply these concepts to your job.
0:21 If so, then you're in the right place. We're going to have a lot of fun and get many ideas for using Python as
0:27 an alternative to the task. You might try to use Excel for today before taking this course. You should have some experience with Python.
0:35 If you are not comfortable with the basic concepts of Python.
0:38 Then should look at our other course Python "Jump Start by Building 10 Applications" or "Python for the Absolute Beginner. In this course,
0:46 you will learn how to set up and use a robust Python environment form,
0:50 organized and repeatable process that could be used to replace many of the cumbersome tasks you use
0:55 excel for today. The majority of the code in this class will be using the
0:59 "Pandas Library" we will take a unique way to teach this powerful library by showing you examples and excel and translating them to the pandas version.
1:08 You will start to learn more about pandas and understand when it will be a good alternative to your current Excel solutions. By the end of this course,
1:15 you will understand how to incorporate Python into your daily analysis workflow.
1:19 You will also find ways to streamline and automate many of the boring and repetitive tasks
1:24 use typically do in Excel. Michael Kennedy frequently says that knowing Python is like having a superpower. I think there's a great analogy,
1:32 and I suspect that by the time you finish this course, you will have many ideas for how you can take this knowledge back to your job,
1:38 improve a tedious process and look like a super hero for saving your organization time

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