979 Data Science courses delivered Online

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.

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

Explore the world of Artificial Intelligence with our comprehensive Foundations Course. From understanding the basics of AI and essential mathematical principles to delving into advanced topics like Deep Learning, Natural Language Processing, and Robotics – this course equips you with the knowledge and skills needed to navigate the dynamic landscape of AI. Whether you're a student, professional, or enthusiast, join us on a journey to build a solid foundation in AI and develop practical applications that shape the future. Enroll now and empower yourself to contribute to the exciting field of Artificial Intelligence.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Data Analysis Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Data Analysis Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Data Analysis Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Data Analysis Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Data Analysis? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Analysis there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Data Analysis course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Data Analysis does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Data Analysis was made by professionals and it is compatible with all PCs, Macs, tablets, and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Data Analysis is a great way for you to gain multiple skills from the comfort of your home.   Basic Data Analysis Module 01: Introduction 00:02:00 Module 02: Agenda and Principles of Process Management 00:06:00 Module 03: The Voice of the Process 00:05:00 Module 04: Working as One Team for Improvement 00:04:00 Module 05: Exercise: The Voice of the Customer 00:03:00 Module 06: Tools for Data Analysis 00:07:00 Module 07: The Pareto Chart 00:03:00 Module 08: The Histogram 00:03:00 Module 09: The Run Chart 00:04:00 Module 10: Exercise: Presenting Performance Data 00:05:00 Module 11: Understanding Variation 00:06:00 Module 12: The Control Chart 00:06:00 Module 13: Control Chart Example 00:04:00 Module 14: Control Chart Special Cases 00:06:00 Module 15: Interpreting the Control Chart 00:10:00 Module 16: Control Chart Exercise 00:07:00 Module 17: Strategies to Deal with Variation 00:06:00 Module 18: Using Data to Drive Improvement 00:14:00 Module 19: A Structure for Performance Measurement 00:06:00 Module 20: Data Analysis Exercise 00:06:00 Module 21: Course Project 00:03:00 Module 22: Test your Understanding 00:17:00 Resources Resources - Diploma in Data Analysis Fundamentals Mock Exam Final Exam Assignment Assignment - Diploma in Data Analysis Fundamentals 06:08:00