317 Algorithms courses delivered Online

Isn't it interesting that you searched for something on the internet and some relevant results appeared? Alternatively, you can enter your daily data into a health app that automatically recommends a diet and exercise routine for you. All of this would not have been possible without data science. The modern world is entirely dependent on Machine Learning, Artificial Intelligence, Neural networks or data science in one phrase. Data science is a new field with no established leaders. It's too difficult to decide which one to learn, which leads to even more frustration because you can't make any progress. It is becoming more important, but the market for skilled data scientists is limited and competitive. What if you are one of those individuals? If you have a background in maths or statistics, we have good news: you can become a data scientist with little training! Anyone can become a data scientist with the help of our Data Science courses. Whatever your background, this training will teach you how to analyse and interpret data to generate new insights that lead to better decisions and results. Our interactive materials set us apart and make us more effective for our students. So don't be late to take your place. Enrol now! Learning Outcomes Understanding of the basic concepts and techniques in data science, such as data exploration, cleaning, and preprocessing Knowledge of statistical analysis methods, including hypothesis testing, regression analysis Learn probability theory and it's use in Data science Knowledge of Advanced regression & machine learning algorithms Ability to communicate data science results effectively to a non-technical audience. Key Highlights for Data Science Course: Developed by industry experts Instant e-certificate and hard copy dispatch by the next working day Interactive course with audio voice-over 24/7 Learning Assistance Lifetime access & update without any limits Unlimited Retake Exam and premium support for life Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning satisfaction guarantee Covers to explore multiple job positions One-stop solution for entrepreneurs and Jobseekers Fastest growing sector Boost your salary on program completion Learn from diligent experts Expert-verified response for quality education So, You should not wait too long. Now is the time to enrol! Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Breakdown of the Course Section 01: Let's get started Section 02: Descriptive statistics Section 03: Distributions Section 04: Probability theory Section 05: Hypothesis testing Section 06: Regressions Section 07: Advanced regression & machine learning algorithms Section 08: ANOVA (Analysis of Variance) Section 09: Wrap up CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this course. Requirements To enrol in this Data Science course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Data Science, such as- Data Analyst: £25,000 to £45,000 per year Data Scientist: £35,000 to £60,000 per year Business Intelligence (BI) Analyst: £30,000 to £50,000 per year Machine Learning Engineer: £40,000 to £70,000 per year Data Engineer: £35,000 to £60,000 per year Data Consultant: £45,000 to £75,000 per year Certificates CPD Accredited Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: £3.99 each Outside of the UK: £9.99 each CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate

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A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

Embark on a journey into the world of Java cryptography with our course, 'Java Certification Cryptography Architecture.' This course is designed to provide a deep dive into the critical aspects of Java's cryptographic capabilities, offering a blend of theoretical knowledge and practical application. Start with the basics in our introductory section, which sets the stage for a deeper exploration of Java Cryptography Architecture. As you progress, the course meticulously unfolds the complexities of message digest algorithms, MAC (Message Authentication Code), and PBKDF2 (Password-Based Key Derivation Function 2). This course is not just about coding; it's a comprehensive guide to understanding and implementing Java-based cryptographic solutions in real-world applications. Advance through the curriculum and discover practical examples of hashing, both simple and real-world, enhancing your ability to secure data effectively. Delve into efficient stream-based hashing and learn how to implement robust password hashing using PBKDF2. The course also includes a section on commercial wrapper libraries, demonstrating the integration of Java cryptography in commercial applications. By the conclusion of the course, you'll not only be proficient in Java Cryptography Architecture but also equipped with the skills to apply these cryptographic techniques in various professional scenarios, ensuring data security and integrity. Learning Outcomes Develop a foundational understanding of Java Cryptography Architecture. Learn to implement hashing algorithms and message digest techniques in Java. Gain expertise in creating and using MAC for data security. Master the application of PBKDF2 for secure password hashing. Understand the use of commercial wrapper libraries in Java cryptography. Why choose this Java Certification Cryptography Architecture 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 Java Certification Cryptography Architecture course for? Software developers and programmers looking to specialize in Java cryptography. IT professionals seeking to enhance their data security skills. Computer science students interested in cryptography and data protection. System architects designing secure Java-based applications. Security enthusiasts keen on exploring Java's cryptographic capabilities. Career path Java Developer: £25,000 - £50,000 Software Engineer (Java): £30,000 - £60,000 Information Security Analyst: £35,000 - £70,000 Cryptography Engineer: £40,000 - £80,000 Application Security Developer: £38,000 - £75,000 Systems Architect (Java): £45,000 - £85,000 Prerequisites This Java Certification Cryptography Architecture does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Java Certification Cryptography Architecture 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. Course Curriculum Section 01: Introduction Introductory Lecture 00:02:00 Setup 00:03:00 Section 02: Java Cryptography Architecture: MessageDigest, MAC & PBKDF2 Simple Hashing Example 00:05:00 Real-world Hashing Example 00:07:00 Efficient Stream-Based Hashing 00:02:00 Message Authentication Code (MAC) 00:05:00 Secure Password Hashing with PBKDF2/PKCS#5 00:10:00 Section 03: Outro Commercial Wrapper Libraries: Demo 00:03:00 JCE Unlimited Strength Policy File Installation 00:03:00 Assignment Assignment - Java Certification Cryptography Architecture 00:00:00

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Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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Is the thrill of solving mathematical conundrums your thing? Are you adept at distinguishing between polar coordinates and hyperbolic functions, or vectors and matrices? If so, our Edexcel accredited Further Mathematics A-Level online course beckons you. With unwavering support from your personal tutor, you'll develop the ability to construct and present mathematical arguments via diagrams, graphs, and symbols. Moreover, you'll refine your understanding of modelling assumptions, conquer quadratic equations with real coefficients, and broaden your mathematical horizons. Course Benefits: Get access to a new course aligned with the latest specifications, enriched with interactive and engaging content Avail of the Fast track option for exams in 2022 Access to partnership exam centres, ensuring a guaranteed exam venue Unlimited tutor support to help craft a study plan and assist throughout your learning journey Exam pass guarantee (we've got your back for the next exam if you don’t pass the first time). Awarding Body: The Edexcel, our awarding body, is the UK's largest awarding organisation that has been helping individuals achieve academic and vocational qualifications in schools, colleges, and workplaces in the UK and beyond for nearly two decades. Course code: X922 Qualification code: 9FMO Official Qualification Title: Further Maths A-Level ⏱ Study Hours: Allocate between 300 and 360 hours of study time, plus additional time for completing assignments. 👩‍🏫 Study Method: Experience a dynamic and engaging learning process via our online learning platform. If needed, the learning resources, which include videos, quizzes, and interactive activities, can be printed for offline study. 📆 Course Duration: The course will span up to 24 months from the date of enrolment. All your learning materials will be accessible on our MyOxbridge portal. 📋 Assessment: Enrolments are now open for Summer 2022 examinations. The course necessitates the completion of four standard A-level exams and various assignments. While the assignments don't contribute to the final grade, they allow you to get tutor feedback and help in monitoring your progress. We also provide a guaranteed exam space in our nationwide exam centres. 👩‍🎓 Course Outcomes: Successful completion earns you an A-Level in Further Mathematics, issued by Edexcel. This certificate holds the same value as that issued to students in any other educational institution. ℹ️ Additional Information: Official Qualification Title - Further Maths A-Level Level - Advanced (Level 3) Course Content: Our course curriculum includes but is not limited to Core Mathematics 1 & 2, Further Pure Mathematics 1 & 2, Statistics 1 & 2, Mechanics 1 & 2, and Decision 1 & 2. These units cover a wide array of topics, including proof, complex numbers, matrices, algebra and functions, calculus, vectors, polar co-ordinates, hyperbolic functions, differential equations, groups, number theory, sequences and series, discrete probability distributions, hypothesis testing, central limit theorem, chi squared testing, linear regression, continuous probability distributions, correlation, combination of random variables, confidence intervals, moments and impulse, work, energy, and power, elastic springs and strings, elastic collisions, motion in a circle, centre of mass, further dynamics, further kinematics, algorithms, graphs, critical path analysis, linear programming, transportation problems, allocation problems, flows in networks, dynamic programming, game theory, recurrence relationship, and decision analysis.

Overview Join our Bioinformatics course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Bioinformatics course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Bioinformatics course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You Will Learn Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Bioinformatics. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Bioinformatics. Enrol today and complete the course to achieve a certificate that can change your career forever. Process of Evaluation Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Certificate of Achievement After completing the Bioinformatics course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Bioinformatics is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Bioinformatics course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career path The certification and skills you get from this Bioinformatics Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Introduction to Bioinformatics Introduction to Bioinformatics 00:10:00 Module 02: Topics in Computational Genomics Topics in Computational Genomics 00:10:00 Module 03: Algorithms in Computational Biology Algorithms in Computational Biology 00:10:00 Module 04: Applied Bioinformatics Tools Applied Bioinformatics Tools 00:10:00 Module 05: Structure and Function of Proteins Structure and Function of Proteins 00:10:00 Assignment Assignment - Bioinformatics 00:00:00

Want to become an expert NLP engineer and a data scientist? Then this is the right course for you. In this course, we will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.