Understanding Big Data Using Hadoop and Spark
With datasets growing increasingly large, the need for custom data solutions has soared as well. This Learning Path will take you through the entire process of designing and building data applications that can visualize, navigate, and interpret reams of data. Get a thorough introduction to the most important tools in the big data ecosystem.
Pandas Data Analysis with Python Fundamentals LiveLessons provides analysts and aspiring data scientists with a practical introduction to Python and pandas, the analytics stack that enables you to move from spreadsheet programs such as Excel into automation of your data analysis workflows.
Master RESTful API development with Python and Flask
Spark is a powerful distributed computing engine for big data, and has emerged as a leading tool in the industry with its focus on improving efficiency and usability. Tutorials and sessions in this Learning Path will teach you about Spark 2.0 libraries, tips and tricks for deploying Spark in production and at scale, and how to get up and running with Spark to write your own Spark applications.
Eight hours of video instruction on configuration and troubleshooting tasks to prepare you for the Cisco CCNA Data Center DCICN 200-155 exam.
Learn how to build a complete 3D game using the industry-leading Unity game development engine and Blender
Explore the practical side of REST to build data-centric applications with Node