50 Inference courses

In this course, we look at a number of advanced Excel techniques all aimed at helping you make sense of the numbers in your business. Each section in the course contains an exercise for practice and quiz. The course is created using Excel 2019/365 for Windows.

This course aims to teach the programming language C++ with an emphasis on the modern features introduced in C++17. The course will cover both old and new concepts in C++, including classes, operator overloading, inheritance, polymorphism, templates, and concurrency. By the end of the course, the students will have gained the knowledge needed to become proficient C++ developers.

Learn Java programming step-by-step with 250 core features and 200+ code examples, perfect for absolute beginners. This hands-on course covers everything from basic concepts to advanced topics such as functional programming and exception handling using JShell and Eclipse as an IDE. Gain a solid foundation in Java and kickstart your programming career.

Who is this course for? SketchUp Night Training Courses. This course is designed for professionals and students interested in enhancing their SketchUp skills through evening sessions. Whether you're a beginner looking to learn the basics or an experienced user seeking advanced techniques, this course offers tailored instruction to suit various skill levels during evening hours. Click here for more info: Website 1-on-1 sessions. Mon to Sat between 9 am and 7 pm  Course Duration: 10 hours Method: 1-on-1 (In-person or Live Online) Design Your Own Template Craft custom templates 2D Geometry Essentials Construct fundamental 2D shapes (lines, arcs, circles, rectangles) Grasp the concept of geometric stickiness Exploring 3D Geometry Develop basic 3D shapes Master 3D geometric stickiness Visualize your model in 3D Effective Model Organization Organize your model effectively using layers Geometry Shaping Tools Shape geometry with the Push/Pull tool Manipulate geometry by moving entities Maintain coplanar geometry integrity Connect and generate complex forms Lock inferences for precision Expedite form generation Restore and refine surfaces Create and apply surfaces to your model Employ mirroring and array techniques Enhancing Visuals Apply materials for enhanced visuals Craft 3D text elements Utilize essential tools for creating and manipulating 3D structures Integration and Expansion Integrate component models from the 3D Warehouse Explore display options and styles Position and export models to Google Earth Model Efficiency Techniques Overcome stickiness challenges in your model Optimize modeling efficiency with component nesting Understand the impact of scaling on similar components Leverage groups and components for isolating geometry Efficiently manage components using the Component Browser 3D Warehouse Collaboration Access and share components via the 3D Warehouse Harness the power of dynamic components Master component inferencing and editing Combine and integrate components seamlessly Integration and Multimedia Import external sites into SketchUp Incorporate photographs into your projects Employ the Follow Me tool effectively Enhance your designs with the Materials Browser Collaborate with the 3D Warehouse community Fine-tune your model's style Interactive Presentations Create immersive scene-based walk-throughs Generate sections and animated scenes for compelling presentations Export and Integration Seamlessly export your work to AutoCAD and LayOut Learning Outcomes for Designers after this course: SketchUp Proficiency: Acquire mastery of essential 3D modeling and design tools. Advanced Modeling Skills: Apply intricate modeling techniques for architectural and interior components. Effective Space Planning: Organize interior spaces efficiently with space planning expertise. Architectural Precision: Create detailed architectural models and facades with precision. Custom Furniture Design: Craft bespoke furniture designs that enhance interior spaces. Texture Realism: Apply textures skillfully to achieve lifelike visualizations. Compelling Visual Presentations: Present design concepts with captivating visualizations. Effective Presentation Skills: Showcase ideas convincingly to clients and stakeholders. Professional Collaboration: Communicate seamlessly with industry professionals using SketchUp. Workflow Streamlining: Enhance project efficiency by streamlining design workflows for rapid iterations. Additional Benefits: Complimentary Portfolio Review Mock Interviews for Skill Enhancement Skills Acquired: Proficient SketchUp Mastery: Gain expertise in using SketchUp for 3D modeling, design, and visualization. Advanced Rendering Techniques: Learn to create realistic renders using plugins like V-Ray or Twilight Render. Efficient Workflow: Develop skills to streamline your design process and enhance productivity. Collaboration and Presentation: Explore techniques for collaborative work and compelling project presentations. Job Opportunities: Architectural Designer: Create detailed 3D models and visualizations for architectural projects. Interior Designer: Design and visualize interior spaces for residential and commercial clients. Landscape Architect: Develop 3D landscape designs and presentations for outdoor spaces. Freelance 3D Artist: Offer your services for various projects, from architectural visualization to product modeling. Visualization Specialist: Provide visualization services to real estate agencies, design firms, or marketing companies. Why Us? Personalized Training: Dive into SketchUp with exclusive coaching from experienced architects and designers. Enjoy 1-on-1, in-person sessions at (SW96DE) or participate in live online classes. Flexible Schedule: We're available Monday to Saturday from 9 am to 7 pm, ensuring learning fits into your busy life. Tailored Tutorials: Take home custom video tutorials crafted to enhance your SketchUp skills. Comprehensive Learning: Access a digital reference book for thorough revision, ensuring a deep understanding of every SketchUp concept. Continuous Support: Enjoy ongoing assistance via phone or email, even after the course ends, ensuring your continued success. Adaptable Syllabus: We customize the syllabus and projects to meet your specific needs, ensuring focused learning on what matters most to you. Official Certification: Certificate upon course completion, validating your SketchUp expertise. Why Choose Us? Individualized Support: Our courses, ranging from 10 to 120 hours, provide unwavering assistance at every stage. Personalized homework assignments and post-course support pave the way for mastering SketchUp with expert guidance. Personal Attention, No Crowded Classes: Experience the intimacy of one-on-one learning. Say goodbye to overcrowded classrooms, ensuring you receive the focused attention you deserve in a confident and comfortable environment. Financial Flexibility: Your educational journey shouldn't strain your finances. We offer a range of payment plans tailored to your needs. Explore the available options and embark on your SketchUp learning adventure today. Expert Instructors, Real-world Expertise: Our instructors, meticulously chosen for their industry expertise and passion for teaching, are dedicated to imparting invaluable SketchUp skills to eager learners.

A comprehensive, simple, visual guide and a super-easy course using SAS with no installation on your computer necessary. This course uses the latest SAS Studio offered through SAS OnDemand and it's completely free. 12+ hours of knowledge-packed lectures, videos, quiz questions, followed by two practical and hands-on guided exercises and projects.

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

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Success in Cambridge Maths is often a prerequisite for many competitive university courses, particularly in the fields of engineering, physics, computer science, and of course, mathematics. This self-paced course from Spark Generation provides a strong foundation for students planning to pursue mathematically-intensive careers or those who want to prepare for their high school journey in a smart way. :)