Get to grips with data science and apply your skills to solve real-world data problems
Key Features
- Understand applied data science concepts with the help of engaging activities
- Get to grips with data visualization, plotting, and clustering techniques
- Discover how to make the best use of decision trees
Book Description
There is an ever-increasing demand for storing different types of data in organizations. Be it a small or big organization, employers want to keep records of their employees, customers, accounts, feedback, and so on. However, maintaining such an enormous collection of data is not possible without the help of data science. This video course will help you to learn the important concepts and theories of applied data science that you need to know to store, manipulate, and visualize huge chunks of data.
The course starts with an introduction to applied data science and a tutorial on how to set up a Jupyter notebook. You'll then go on to understand linear regression using Boston data. As you advance, you'll discover data visualization techniques and explore time series and data evaluation. You'll also get to grips with extended data analysis with the help of a temperature analysis activity. Toward the end, you'll be introduced to k-means clustering and gain a solid understanding of decision trees.
By the end of this course, you'll be well-versed with applied data science concepts and be able to apply your skills in the real world.
All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Projects-in-Data-Science
What you will learn
- Gain a solid understanding of applied data science
- Get to grips with extended data analysis using an example data set
- Find out how to perform linear and logistic regression
- Become familiar with scattered and advanced scattered plot
- Develop skills to plot time-series data
- Explore k-means clustering and define centroids for clustering
Who this book is for
If you are a data science enthusiast who wants to develop your skills to effectively maintain your organization's data, then this video course is for you.
