58630 Courses

In this course, we'll learn how to visualize trends in temperature data with HTML, CSS, JavaScript, and jQuery. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

Learn Python Programming using a Step By Step Approach with 200+ code examples.

R Programming for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle a new data science project with confidence and be able to critically assess your and others' work.

Learn Flask, the simple yet powerful Python web framework. This course is a ridiculously simple way to learn Flask in less than a weekend.

Welcome to the data manipulation in Python course. Our goal in this course is to provide you with all the tools and skills necessary to master Python, NumPy, and Pandas for data science. No previous skills or expertise are required. Only a drive to succeed!

Develop your SQL skills, with useful insights into the MySQL syntax, SQL join statements, and more

This course will help you get started with the Vim editor. You will start the course by learning how to use Vim to make simple edits and as you move ahead, you will become comfortable in editing multiple files at once, creating macros, making global substitutions in files, formatting, normalizing data, and a lot more.

A complete guide to the Cassandra architecture, the Cassandra query language, cluster management, and Java/Spark integration.

Take your Python skills to the next level. Learn how expert programmers work with code and the techniques they use.

Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB