870 Data Science courses in Cardiff delivered On Demand

Step-by-step tutorial to build a robust automation framework - TestNG, ANT, Maven, Jenkins, Cucumber, Git, Pageobject, Cloud,SQL

Get to grips with real-time stream processing using PySpark as well as Spark structured streaming and apply that knowledge to build stream processing solutions. This course is example-driven and follows a working session-like approach.

Increase your cybersecurity capability by learning to perform dynamic and static malware analysis!

A carefully structured advanced-level course on Apache Spark 3 to help you clear your job interviews. This course covers advanced topics and concepts that are part of the Databricks Spark certification exam. Boost your skills in Spark 3 architecture and memory management.

Unlock the creative potential of generative AI while navigating ethical and legal challenges in this theory-based course. Learn the strengths and limitations of AI, from content creation to breaking through creative block, and gain insights into bias and plagiarism.

In this course, we'll create Python APIs with the Django REST framework. We'll be using an existing project called Todo and learn how to add an API to it. This course requires beginner-level experience with Django; if you've created a Django project before, it will be beneficial.

Unlock your creative prowess in the exhilarating realm of game development through this course. This step-by-step guide empowers you to grasp the nuances of crafting captivating 2D games using Python and the robust Pygame library. Understanding of concepts such as control flow, data structures, and object-oriented programming would be beneficial.

Master Deep Learning Heuristics with R! This course will teach you how to use Deep Learning Heuristics to solve complex problems in Agriculture, Cryptocurrencies, Energy Sector, and Financial Markets. With R, you will be able to develop and implement efficient and scalable solutions.

Python Certification Level 1 This course will show you the quickest, least demanding and most exhaustive involvement with learning essential Python. For those inspired by PC programming, the Python language is an extraordinary choice especially in view of its broad help libraries. Moreover, the program gives a ton of learning straightforwardness and backing. Python was made in the mid 90s to code with more prominent consistency, however with more effortlessness than Java. Viewed as a 'fun' language, Python can be a fascinating project, especially for the individuals who are innovative, as it offers numerous unique highlights. Programming advancement organizations like to work with the Python language as a result of its flexibility. How about we examine what this course will cover and what the numerous advantages are: In this course, you will learn: Step by step instructions to compose a code in Python Comprehend the Python Shell window and how to utilize it in 'intuitive' mode The different functionalities Step by step instructions to compose a proper program utilizing IDLE The advantage of documentation and why it is crucial to do so when coding The most effective method to utilize the altering stage's rules when composing a program The most effective method to print utilizing each type of information About extra altering highlights, for example, indenting a locale Comprehend the different factors and how the Python language utilizes them More departure capacities (\n, \t) utilized for organizing strings About 'if' articulations or conditionals to decide program stream About Python coherent administrators and how they cooperate with factors to finish and address articulations Around four circles and settled circles and the distinctions in their usefulness About complex information structures and tuples Step by step instructions to utilize python Course Benefits: Python gives you admittance to the huge irregular library Work on composing code by making strings Get time and schedule capacities inside Python and how to apply them See how Python functions with HTML structure and why this is so significant You can use efficiency and speed time It gives outsider modules

Learn to write scalable, reusable, and maintainable code by leveraging the OOP concepts in Python. This comprehensive OOP course covers essential concepts, such as encapsulation, inheritance, and polymorphism. The last section of this course covers a real-world library management system project.