329 Algorithms courses

Fall Into Savings; Enjoy The Biggest Price Fall | 14 Courses Premium Bundle | CPD Accredited | GIFT: (Hardcopy + PDF) Certificate+ E-Learning App + SID + Exam

Overview This comprehensive course on Quick Data Science Approach from Scratch will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Quick Data Science Approach from Scratch comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Quick Data Science Approach from Scratch. It is available to all students, of all academic backgrounds. Requirements Our Quick Data Science Approach from Scratch is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 4 sections • 15 lectures • 01:00:00 total length •Introduction: 00:02:00 •Data Science Explanation: 00:05:00 •Need of Data Science: 00:02:00 •8 Common mistakes by Aspiring Data Scientists/Data Science Enthusiasts: 00:08:00 •Myths about Data Science: 00:03:00 •Data Types and Variables: 00:04:00 •Descriptive Analysis: 00:02:00 •Data Cleaning: 00:02:00 •Feature Engineering: 00:02:00 •Data Thinking Development: 00:03:00 •Problem Definition: 00:05:00 •Algorithms: 00:14:00 •Prediction: 00:03:00 •Learning Methods: 00:05:00 •Assignment - Quick Data Science Approach from Scratch: 00:00:00

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

🚀 Unlock Your Website's Potential with the SEO Online Course!   Are you ready to catapult your online presence to new heights? Introducing our comprehensive 'Search Engine Optimization - SEO Online Course,' designed to empower you with the knowledge and skills needed to conquer the digital landscape. Whether you're a business owner, marketer, or aspiring SEO professional, this course is your roadmap to mastering the art and science of SEO.   🔍 Module 1: Introduction to SEO Get acquainted with the fundamentals of SEO and understand its pivotal role in driving organic traffic. Learn about search engine algorithms, the importance of SEO in online marketing, and gain insights into the ever-evolving landscape of search engine optimization.   🔎 Module 2: Keyword Research Discover the key to unlocking visibility and relevance online - keywords. Dive deep into effective keyword research strategies, uncover long-tail keywords, and master the art of selecting the right keywords for your content. Harness the power of keywords to elevate your website's ranking on search engine results pages (SERPs).   🖌️ Module 3: On-Page Optimization Transform your website into a search engine magnet! Learn the art of on-page optimization, where you'll explore techniques to enhance your website's content, meta tags, headings, and multimedia elements. Maximize user experience and improve your website's relevance to search engines.   🛠️ Module 4: Technical SEO Demystify the technical aspects of SEO. From website structure to page speed optimization, delve into the intricacies of technical SEO. Understand how search engines crawl and index your site, and implement best practices to ensure your website is technically sound and primed for high rankings.   🔗 Module 5: Link Building Unleash the power of backlinks! Master the art of link building to boost your website's authority and credibility. Learn ethical and effective link-building strategies, understand the importance of internal and external links, and discover how to create a strong link profile that stands out in the digital landscape.   🎓 Why Choose Our SEO Online Course? ✅ Comprehensive Curriculum: Dive deep into every facet of SEO with a structured and comprehensive curriculum. ✅ Expert Instruction: Learn from industry experts with hands-on experience in SEO and digital marketing. ✅ Practical Insights: Gain practical, real-world insights with case studies and interactive assignments. ✅ Lifetime Access: Access the course content anytime, anywhere, and stay updated with the latest SEO trends.   Course Curriculum Module 1_ Introduction to SEO Introduction to SEO 00:00 Module 2_ Keyword Research Keyword Research 00:00 Module 3_ On-Page Optimization On-Page Optimization 00:00 Module 4_ Technical SEO Technical SEO 00:00 Module 5_ Link Building Link Building 00:00

Description Fundamentals of Artificial Intelligence diploma  Artificial intelligence is widely popular and fascinates most people, especially when compared to technology-related topics. The reason behind it may be that it often goes and wanders beyond what we can imagine. We live in a world where we constantly hold smartphones capable of performing tasks we could never have even thought of just ten years ago. We use technological innovations every day, like voice commands, facial recognition, and other tools that can isolate portraits or take group photos. These are things we never imagined were possible, but we have grown used to them today. We have experienced the wonders of AI, and every new aspect awes us. Although technology has become a part of our daily lives, most do not know how it works. Looking at how amazing the effects of AI are, there is no doubt that the way it works will awe us just as much. Narrow AI is more common, which is AI meant to be used powerfully in one case, like AI for facial recognition or detection of spam. AI systems can be used to sort out vast piles of data like recommendation systems and search engines. They can also provide insights into the data. With this kind of narrow AI, it is expected that it can only perform what it is designed to do. A program meant to detect spam or recognize facial features cannot also be expected to play chess, compose songs, and record shows to watch in the future. The Fundamentals of Artificial Intelligence diploma course aims to remove AI's mystery so that the learners can develop a better in-depth understanding of the technology. The Fundamentals of Artificial Intelligence diploma course consists of an introduction that includes all the basic concepts in AI that will enable you to see what things are possible and what are not within the technology. It will also help you understand the effects of AI on our daily lives. After completing the Fundamentals of Artificial Intelligence diploma course, you will be able to define AI, discuss it, evaluate AI claims, explain the technologies that underpin AI, such as neural networks and machine learning, and understand the main implications of AI. The Fundamentals of Artificial Intelligence diploma course will also discuss AI's concerns and issues like biases, ethics, and jobs. You will also get expert advice regarding learning about AI and beginning a profession in AI-related fields. The fundamentals of Artificial Intelligence diploma does not demand that you have any expertise in computer science or programming. It is simply meant to introduce to you the essentials and basics in the field, regardless of whether you possess a technical background. We aim to encourage as many people as possible from all backgrounds to learn about artificial intelligence, what it is, what it can or cannot do, and how one can start creating methods of AI. The course is flexible and can be studied and completed at whatever pace you are comfortable with. What you will learn   1: An introduction to AI and data  2: Algorithms and Hardware  3: Uses of AI in computer applications and common processes  4: Using AI for medical needs  5: AI helping improve human interactions  6: Data analysis for AI  7: Machine learning and deep learning in AI  8: AI in hardware applications  9: AI as a nonstarter  10: AI in outer space  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Robotics Fundamentals Diploma Introducing the Robotics Fundamentals Diploma, an innovative online course tailored for those keen on learning the nuances of modern robotics. This programme is an unparalleled journey into the captivating world of machines, sensors, and algorithms that are shaping the future. Begin with a comprehensive introduction to robotics, setting a solid foundation for your studies. Grasping the basics is paramount, and this diploma ensures learners obtain a deep understanding of these core principles. Next, the course navigates the broader expanse of robotics fundamentals. Here, individuals grasp the intricacies that lie at the heart of these machines. Every robot, from the simplest to the most complex, relies on sensors and actuators. Delving into this topic, this diploma teaches students about their pivotal role in robotics. From sensing external stimuli to initiating precise movements, these components are the nerve centres of any robotic system. The beauty of a robot lies in its movements. Thus, the segments on mechanisms and kinematics elucidate the physical aspects that contribute to their agile motion. Pair this with a detailed analysis of the dynamics and control of robots, and one gets a holistic view of how these machines function and interact with their surroundings. But, how do robots determine their course of action? That's where the module on path planning and navigation comes into play. It allows learners to comprehend how robots chart their routes and avoid obstacles, ensuring smooth and efficient operations. Manipulation and grasping are fundamental robotic tasks, especially in industrial settings. This diploma elaborates on the strategies and techniques robots use to handle objects, ensuring they can efficiently interact with the physical world around them. As we delve further into the modern realm of robotics, the role of computer vision becomes unmistakably evident. This course unravels its significance, showcasing how robots perceive and interpret visual information, ensuring accurate responses to their environment. In today's age, no study of robotics is complete without addressing artificial intelligence and machine learning. These are the cognitive components that arm robots with 'thinking' capabilities. This module of the Robotics Fundamentals Diploma delves deep into the integration of these technologies in robotics, offering insights into how machines learn, adapt, and make decisions. Lastly, as with any forward-looking course, the programme concludes with a session on emerging trends and applications of robotics. From healthcare to space exploration, learners are acquainted with the innovative ways robots are being employed to redefine the boundaries of possibility. In summary, the Robotics Fundamentals Diploma offers a comprehensive online learning experience. Whether you're a budding engineer, a tech enthusiast, or simply someone curious about the robotic world, this course promises to equip you with the knowledge and skills necessary to navigate this ever-evolving landscape. Sign up today and embark on an enlightening journey into the realm of robotics. What you will learn 1:Introduction to Robotics 2:Robotics Fundamentals 3:Sensors and Actuators in Robotics 4:Mechanisms and Kinematics 5:Dynamics and Control of Robots 6:Path Planning and Navigation 7:Manipulation and Grasping 8:Computer Vision in Robotics 9:Artificial Intelligence and Machine Learning in Robotics 10:Emerging Trends and Applications of Robotics Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

This extensive course for beginners provides the basics of chatbots with machine learning, deep learning, AWS, and its applications, building it from scratch with hands-on practice for chatbot development. This course will help you learn basic to advanced mechanisms of developing chatbots using machine learning, deep learning, and AWS with Python.

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! This Diploma in Statistical Analysis at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! Are you looking to improve your current abilities or make a career move? If yes, our unique Statistical Analysis at QLS Level 5 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Statistical Analysis at QLS Level 5 course. Due to Statistical Analysis at QLS Level 5's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Statistical Analysis at QLS Level 5 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career. The Statistical Analysis at QLS Level 5 course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Statistical Analysis at QLS Level 5 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Statistical Analysis at QLS Level 5 course. This Statistical Analysis at QLS Level 5 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Statistical Analysis at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Statistical Analysis at QLS Level 5 course: Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Statistical Analysis at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis at QLS Level 5 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements No prior background or expertise is required. Career path The Statistical Analysis at QLS Level 5 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Statistical Analysis at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Statistical Analysis at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks. This Python Bundle Consists of the following Premium courses: Course 01: Python Programming for Everybody Course 02: Data Science with Python Course 03: Machine Learning with Python Course 04: Learn to Use Python for Spatial Analysis in ArcGIS Course 05: Higher Order Functions in Python - Level 03 Course 06: Introduction to Data Analysis Course 07: Data Structures Complete Course Course 08: Basic Google Data Studio Course 09: Computer Science: Graph Theory Algorithms Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Business Intelligence and Data Mining Masterclass Course 12: Cyber Security Incident Handling and Incident Response Course 13: Decision Making and Critical Thinking Decision Making and Critical Thinking Course 14: Time Management Benefits you'll get from choosing Apex Learning: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the Courses included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules of Courses designed by expert instructors Learn about Courses at your ease - anytime, from anywhere Study the Courses from your computer, tablet or mobile device CPD accredited Courses - improve the chance of gaining professional skills Curriculum : Course 01: Python Programming for Everybody This Python's curriculum has been designed by experts with years of experience behind them. The Python course is extremely dynamic and well-paced to help you understand with ease. You'll discover how to master the skill while exploring relevant and essential topics. Module 01 A Installing Python Documentation Command Line And much more... Module 02 Additional Topics If Elif Else Iterable For And much more... Module 03 Number Types More Number Types Strings More Strings And much more... Module 04 Comprehensions Definitions Functions Default Arguments And much more... Module 05 Function Objects Lambda Generators Closures And much more... How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this bundle. Requirements Our course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Python Programming for Everybody) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost. Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Python Programming for Everybody) absolutely Free!