Data science is one of the most lucrative fields to work in today. Learn the basics and get a fatter paycheck with this machine learning class.
Luckily, you don't have to go back to college (because who needs more student loans). This course will get you up to speed, even if you're just a newbie with aggregating and analyzing data.
This bundle includes eight eBooks and courses, including:
1) Learning Ansible 2: Second Edition eBook
Ansible is an open source automation platform that data scientists use to integrate with cloud platforms. It makes your job a lot easier by deploying automated tasks, so you don't have to spend precious time doing mundane work. This 240-page book will give you a great foundation in Ansible 2 and by the end, you'll be able to set up an Ansible 2 project.
2) Practical DevOps eBook
DevOps sounds complicated, but it really just means emphasizing business value and efficiency. In this eBook, you'll learn how to store, manage, test, deploy, and monitor your code so you can get a better idea of how DevOps affects architecture.
3) DevOps Automation Cookbook eBook
Building on the first eBook, this one will show you how to apply DevOps to big data. You'll be able to track trends and monitor key systems so you can deal efficiently with cloud infrastructures. The cool thing about this eBook is that it allows you to tackle practical, real-world issues so you're not just learning about theory.
4) Python Machine Learning eBook
Machine learning is what makes data science so efficient, and Python is the language that helps you model it. In this eBook, you'll learn how to apply different machine learning techniques to various questions and you'll be able to build neural networks using Python libraries. That's right, data science is how you get into artificial intelligence if you needed another reason to learn about it.
5) Mastering Python for Data Science eBook
Most data scientists have to learn either R or Python, and Python is a solid cross-platform environment so you may as well start there. This eBook aims to teach you how to create high-end visualizations so you can solve data science problems in a hands-on way.
6) Practical Data Analysis eBook
A lot of data science has to do with theory, which can be hard to wrap your brain around. That's why this eBook approaches data analysis from a practical perspective. Here you'll understand how data analysis can help a business make better decisions.
7) Data Mining with Python
So, we know data is important, but to analyze it you actually have to mine it first. Thankfully, Python can help you out there as well. This course aims to teach you data mining techniques and the process of actually cleaning up all that data to filter out the noise. These are the kinds of concepts you need to understand if you want to be an effective data scientist.
8) Python Machine Learning Projects
Machine learning is great because machines are just so much more reliable than people and can give powerful insights into data. But machine learning isn't all sentient robots. In this course, you'll learn about how widespread machine learning already is in our world, and you'll work on six projects to help you master it in Python.