1288 Scientist courses delivered Online

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.

Introduction to AI for Business

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!

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

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.

Thinking about learning more about the data you are using in your job and how to present this? The BCS Foundation Award in Data Visualisation teaches how data is used to make decisions in an organisation and the importance of presenting accurate data in a way that enables decision making to happen.

This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.

Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.

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