From the course: Data Science Methodologies: Making Business Sense

What you should know

From the course: Data Science Methodologies: Making Business Sense

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What you should know

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- [Instructor] This course is a combination of conceptual knowledge and its practical application. While I'll explain the basics of conceptual ideas, their practical application requires some basic understanding of programming in Python, designing webpages using HTML, using flask server, using GitHub as a source code repo, and Heroku platform for hosting applications. As you start working on the hands-on exercises, here are some important things to consider. We will be making four independent CI/CD pipelines. Each will have its own Git repo as shown here. To help you find these repos, search on the course number 2870047, and you will be able to see all four of these. So when you start make sure you have your personal Git account. You can either fork the LinkedIn repo into your account or create your repo as needed and clone it on your desktop. Download the exercise files from LinkedIn repo and put it in your local repo and then complete the exercise and then push it to your personal Git repo. For Heroku, you need to have a personal Heroku account. Heroku offers free accounts for learners at no cost and it is fairly straightforward to set up. After creating your account, go into account settings, and from there, go into applications. Here, you can provide a link to your personal Git account. This will then allow you to create and connect your CI/CD pipelines to your repos. If you're new to any of these, I will suggest that you still go ahead with the course as I do provide step-by-step instructions for all the hands-on exercises. And the good news is that if you face difficulty in understanding any of these topics, there are plenty of courses available in LinkedIn learning library that cover all these topics in great depth. So I would say, let us get started with the course and identify and plug the gaps as we go along.

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