989 Programming Languages courses in Edinburgh delivered Online

Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.

ASP.NET Web API is one of the hot topics in the ASP.NET world. The usage of web API is taking the world by storm. Companies such as Netflix, Spotify, Tesla, and Amazon use APIs to connect front-end and back-end functionality on a large scale. You will be learning these RESTful Web API concepts from scratch in this course.

This complete hands-on, step-by-step course targets the latest version of Raspberry Pi, which is the Raspberry Pi 4. Everything also works perfectly for Raspberry Pi 2 and 3 versions. You don't need any knowledge in programming, electronics, or anything else. All you need is a working computer and a Raspberry Pi board to get started.

This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.

This course will show you how to build Python-based web applications using Flask. You will cover the basics of the Flask framework and learn how to add functionality to your Flask applications using the popular extensions.

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

With the help of step-by-step explanation, this course shows you how to create a real-world, fully functional math quiz game from start to finish using JavaScript.

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

Let's use ChatGPT to build a pairs trading bot in Python and understand pairs, algorithmic, algo-trading, and stock trading strategies. Compute z-scores, log, cumulative, and portfolio returns. Apply data science strategies to financial analysis and trading strategies for stocks, forex, cryptocurrencies, Bitcoin, Ethereum, and altcoins.

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.