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Level 7 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 180 CPD Points | Lifetime Access
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. 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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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Course 12: Career Development Plan Fundamentals Course 13: CV Writing and Job Searching Course 14: Networking Skills for Personal Success Course 15: Ace Your Presentations: Public Speaking Masterclass Course 16: Decision-Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive Agricultural Science, Horticulture and Gardening bundle, endorsed by the prestigious QLS and accredited by CPD. Agricultural Science, Horticulture and Gardening QLS Endorsed Diploma. Learning Outcomes: Gain a comprehensive understanding of Agricultural Science, Horticulture, and Gardening. Master essential concepts in botany, forestry, and arboriculture. Develop proficiency in reproduction techniques for flowering plants. Acquire practical skills in hydroponics, gardening and land management. Learn strategies for effective environmental management and conservation. Enhance career development, networking, and presentation abilities for professional success. Embark on a multifaceted exploration of Agricultural Science, Horticulture, and Gardening with our comprehensive Agricultural Science, Horticulture, and Gardening bundle course. Delve into the foundational principles of plant biology, understanding the intricate mechanisms behind growth, development, and reproduction. Through in-depth modules on botany, forestry, and arboriculture, participants will unravel the complexities of plant life from the molecular level to ecosystem dynamics. Gain practical insights into plant propagation techniques and cultivation practices, empowering you to nurture diverse plant species confidently and precisely. Navigate the evolving landscape of sustainable agriculture and environmental stewardship as you delve into hydroponics gardening, land management, and environmental conservation. Discover innovative resource utilisation and ecosystem management approaches, equipping you with the tools to address pressing global challenges such as climate change and biodiversity loss. With a blend of theoretical knowledge and practical applications, this Agricultural Science, Horticulture, and Gardening course offers a transformative learning experience, empowering individuals to become catalysts for positive change in Agricultural Science, Horticulture, and Gardening. CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Agricultural Science, Horticulture, and Gardening course is ideal for: Aspiring horticulturists seeking to expand their knowledge and skills. Professionals in the agriculture sector aiming to enhance their expertise. Individuals passionate about sustainable gardening and environmental conservation. Career changers interested in pursuing opportunities in the green industry. Students eager to explore the fascinating world of botany and plant sciences. Entrepreneurs looking to establish or expand their presence in the gardening market. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion of the Agricultural Science, Horticulture, and Gardening courses, you will be able to: Horticulturist Agricultural Scientist Environmental Consultant Botanist Landscape Designer Nursery Manager Greenhouse Technician Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 3 QLS Endorsed Certificates Hard copy certificate - Included
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Overview Whether you want to secure your pension or help others get theirs, a clear understanding of pension is important. Deepen your knowledge and understanding of pension with our Pension Essentials course. Here, you will get to learn the fundamentals of the UK pension system in no time. This course is developed to provide you with an overall understanding of the UK pension system. From the informative modules, you will learn about different types of pension schemes. Then, the course will educate you on pension regulation and fund governance. In addition, you will learn about the laws and regulations of pension schemes in the UK. Furthermore, the course will include modules on the challenges of the pension system in the UK. By the end of the course, you will be able to establish a clear understanding of the UK pension system. Course Preview Learning Outcomes Get familiarised with different types of pension schemes Understand the essentials of pension fund governance Learn about the laws and regulations of pension schemes in the UK Know the key challenges in the pension system Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? UK pension system Pension regulation Who Should Take This Pension Essentials? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Pension Essentials Certification After completing and passing the Pension Essentials course successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Pathâ This exclusive Pension Essentials course will equip you with effective skills and abilities and help you explore career paths such as HR professionals Finance manager Accountant Legal advisor Module 01: Overview Of The UK Pension System Overview of the UK Pension system 00:14:00 Module 02: Type Of Pension Schemes Types of Pension Schemes 00:20:00 Module 03: Pension Regulation Pension Regulation 00:33:00 Module 04: Pension Fund Governance Pension Fund Governance 00:22:00 Module 05: Law And Regulation Of Pensions In The UK Laws and Regulation of the Pension System in the UK 00:18:00 Module 06: Key Challenges In UK Pension System Key Challenges in the UK Pension System 00:14:00 Assignment Assignment - Pension UK 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00