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Data Analysis with Python

Master the Python programming language and its libraries for data manipulation and analysis.

Daniel Wilson

8 weeks

Advanced

₦300,000

Learn best practices for deploying Node.js applications to production environments, including considerations for scalability, performance optimization, and monitoring.	Understand how to structure and modularize your Node.js code using modules, and explore tools like NPM for managing external dependencies.
Discover how to build web applications using popular frameworks like Express.js, leveraging Node.js's capabilities	Explore the power of asynchronous programming in Node.js using callbacks, promises, and async/await and then bla bla bla bla bla bla bla
Dive into file system operations and learn how to read, write, and manipulate files using the built-in modules provided by Node.js	Gain a solid understanding of what Node.js is and its role in building scalable and efficient server-side applications.

Python for Data Analysis: Basic Math Operations

2 weeks

Python for Data Analysis: Basic Data Types

2 weeks

Python for Data Analysis: Variables

4 weeks