Learn how to install Python for use with the course materials.
- The second language we use is called Python. The platform is a little bit different than what we experienced with R because the integrated development environment that we're going to use with Python actually runs in your web browser. Like Google Chrome or Firefox. So the first step is to download and install Anaconda. So follow the link on your screen and this is the Anaconda website and we'll scroll down below and it's already detected that we're running OSX if you're running Windows or Linux you can click on these tabs or it will likely identify that your already on that platform and we're going to download the graphical installer.
Now, I'm going to open up that package installer in my finder going to double-click on it and this will walk us through a Wizard to do the necessary installation. Now that Anaconda has completed its installation we are going to close out of the Wizard and at this stage we should be able to open up what's called a Jupyter notebook. There are two ways to open Anaconda. The first is we can go to spotlight search and search for Anaconda-Navigator.
So I'll double-click on that. And this will initialize and boot some metadata in. And this screen, I'm going to go ahead and click okay here. Now there are several applications that we can run from the navigator. We are most interested in Jupyter. So I'm going to go ahead and click on launch. And that will launch the Jupyter Notebook. It will load the applications in our root directory. But if we go to desktop, exercise files, this is where you can access your exercise files.
Now I'll go ahead and close out of this and I'm going to show you the second way. The second way is to open up Jupyter from the terminal itself. So I'm going to open up a new instance of the terminal. I am then going to type in Jupyter Notebook. And you'll see what that gives us is the same exact starting place that we saw just a moment ago. There are two ways to get to this screen. So that's Jupyter Notebook and Anaconda.
And the platform that we need for running Python.
In this course, discover how to gain valuable insights from large data sets using specific languages and tools. Follow Chris DallaVilla as he walks through how to use R, Python, and Tableau to perform data modeling and assess performance. As Chris dives into these concepts, he shares specific case studies that come directly from his own work with clients. Plus, he shares three essential—and practical—best practices for data-driven marketing that you can use to bolster your organization's marketing performance.
- Installing R, Python, and Tableau
- Navigating the UI for R, Python, and Tableau
- Using R, Python, and Tableau
- Exploratory analysis
- Performing regression analysis
- Performing a cluster analysis
- Performing a conjoint assessment
- Stakeholder alignment