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Overview This comprehensive course on Statistics & Probability for Data Science & Machine Learning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics & Probability for Data Science & Machine Learning 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 Statistics & Probability for Data Science & Machine Learning. It is available to all students, of all academic backgrounds. Requirements Our Statistics & Probability for Data Science & Machine Learning 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 10 sections • 89 lectures • 11:27:00 total length •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 •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 •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 •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 •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 •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 •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 •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 •Wrap up: 00:01:00 •Assignment - Statistics & Probability for Data Science & Machine Learning: 00:00:00

The 'Chainsaw Safety Training' course is a comprehensive program designed to educate individuals about the safe and efficient use of chainsaws. It covers fundamental concepts such as chainsaw basics, equipment understanding, personal protective gear, pre-operation safety checks, proper handling and operation, advanced techniques, safety measures, and post-operation and emergency procedures. This training is essential for those who work with chainsaws to prevent accidents and ensure a secure working environment.   Learning Outcomes of Chainsaw Safety Training: Upon completion of this course, participants will be able to: Understand the fundamental principles of chainsaw operation. Identify and comprehend the various components and equipment associated with chainsaws. Learn how to select, wear, and maintain personal protective equipment (PPE) for chainsaw use. Perform pre-operation safety checks to ensure the chainsaw is in proper working condition. Develop the skills required for safe chainsaw handling and operation. Explore advanced chainsaw techniques for increased efficiency and precision. Implement safety measures and protocols to prevent accidents. Know how to respond to post-operation and emergency situations effectively.   Why buy this Chainsaw Safety Training? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on 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 Chainsaw Safety Training 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 £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.   Who is this Chainsaw Safety Training course for? This Chainsaw Safety Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Forestry and arborist professionals who use chainsaws in their work. Landscapers and tree care specialists. Farmers and agricultural workers. Outdoor enthusiasts, such as campers and hikers. Anyone interested in learning how to safely operate a chainsaw.   Prerequisites This Chainsaw Safety Training 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.   Career path   Arborist - Median earning of £20,000 - £40,000 per year. Forestry Worker - Median earning of £18,000 - £30,000 per year. Landscaper - Median earning of £18,000 - £35,000 per year. Agricultural Worker - Median earning of £18,000 - £35,000 per year. Safety Instructor - Potential earning of £25,000 - £45,000 per year. Course Curriculum Module 01: Chainsaw Basics Chainsaw Basics 00:16:00 Module 02: Understanding the Equipment Understanding the Equipment 00:18:00 Module 03: Personal Protective Equipment (PPE) Personal Protective Equipment (PPE) 00:13:00 Module 04: Pre-Operation Safety Checks Pre-Operation Safety Checks 00:12:00 Module 05: Chainsaw Handling and Operation Chainsaw Handling and Operation 00:11:00 Module 06: Advanced Chainsaw Techniques Advanced Chainsaw Techniques 00:17:00 Module 07: Safety Measures Safety Measures 00:18:00 Module 08: Post-Operation and Emergency Procedures Post-Operation and Emergency Procedures 00:12:00

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Embarking on a journey through the world of arboriculture opens doors to a realm where nature and knowledge intertwine. With its comprehensive curriculum, the 'Arboriculture' course guides learners through the fascinating intricacies of tree care and management. Beginning with an introduction to arboriculture, the course delves into the heart of tree planting techniques, ensuring students grasp the foundational concepts of this green science. As the course progresses, learners explore the nuances of tree selection tailored for arboricultural purposes, delving deeper into the biological aspects of trees in the fourth module. This journey of discovery then leads students through the critical relationship between soil and tree growth, an essential component of healthy arboricultural practices. Continuing this enlightening path, the course covers the vital skills of pruning, a key technique in maintaining tree health and aesthetics. This is complemented by a detailed exploration of tree diseases and their management, a crucial aspect for any arboricultural consultant. The course then equips students with knowledge about arboriculture equipment and operations, culminating in a crucial module on workplace health and safety. This comprehensive curriculum is not just a series of lessons; it's an invitation to become part of an arboricultural association, where learners can share their passion and knowledge with like-minded individuals. The beauty of this course lies in its ability to transform enthusiasts into professionals. Every module, from the arboricultural survey to the final assessment, is meticulously designed to offer practical and theoretical knowledge. Whether it's understanding the meaning of arboriculture or diving into the specifics of an arboricultural impact assessment, the course prepares students for a range of arboriculture jobs. Additionally, the opportunity to engage with an arboricultural report and partake in arboriculture courses further reinforces the learning experience, setting a solid foundation for a fulfilling career in this field. Learning Outcomes Acquire comprehensive knowledge of tree biology, soil dynamics, and their interrelation in tree growth. Develop expertise in tree planting, pruning techniques, and managing tree diseases. Gain proficiency in using arboriculture equipment and implementing workplace health and safety practices. Learn to conduct detailed arboricultural surveys and impact assessments. Understand the process of creating professional arboricultural reports and consultations. Why buy this Arboriculture 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. Certification After studying the course materials of the Arboriculture 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 £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Arboriculture course for? Individuals passionate about tree care and environmental sustainability. Beginners seeking foundational knowledge in arboriculture. Professionals in landscaping or gardening aiming to specialize in tree care. Environmental science students looking to broaden their knowledge. Career switchers interested in pursuing a role in environmental conservation. Prerequisites This Arboriculture 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. Career path Arboricultural Consultant: £30,000 - £50,000 Per Annum Tree Surgeon: £25,000 - £40,000 Per Annum Urban Forester: £28,000 - £45,000 Per Annum Parks Manager: £30,000 - £50,000 Per Annum Landscape Architect: £27,000 - £40,000 Per Annum Environmental Manager: £35,000 - £55,000 Per Annum Course Curriculum Module 01: Introduction to Arboriculture Introduction to Arboriculture 00:27:00 Module 02: Tree Planting Techniques Tree Planting Techniques 00:18:00 Module 03: Tree Selection for Arboriculture Tree Selection for Arboriculture 00:33:00 Module 04: Tree Biology Tree Biology 00:35:00 Module 05: Soil and Tree Growth Soil and Tree Growth 00:36:00 Module 06: Pruning Trees Pruning Trees 00:29:00 Module 07: Tree Diseases and Management Tree Diseases and Management 00:44:00 Module 08: Arboriculture Equipments and Operations Arboriculture Equipment and Operations 00:38:00 Module 09: Workplace Health and Safety Workplace Health and Safety 00:40:00 Assignment Assignment - Arboriculture 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

Are you looking to enhance your Tree Surgeon skills? If yes, then you have come to the right place. Our comprehensive course on Tree Surgeon will assist you in producing the best possible outcome by mastering the Tree Surgeon skills. The Tree Surgeon course is for those who want to be successful. In the Tree Surgeon course, you will learn the essential knowledge needed to become well versed in Tree Surgeon. Our Tree Surgeon course starts with the basics of Tree Surgeon and gradually progresses towards advanced topics. Therefore, each lesson of this Tree Surgeon course is intuitive and easy to understand. Why would you choose the Tree Surgeon course from Compliance Central: Lifetime access to Tree Surgeon course materials Full tutor support is available from Monday to Friday with the Tree Surgeon course Learn Tree Surgeon skills at your own pace from the comfort of your home Gain a complete understanding of Tree Surgeon course Accessible, informative Tree Surgeon learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Tree Surgeon Study Tree Surgeon in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Tree Surgeon Course Tree Surgeon Curriculum Breakdown of the Tree Surgeon Course Course Outline: Module 01: Introduction to Horticulture Module 02: Structure and Function of Horticulture Plants Module 03: Growth of Horticulture Plants Module 04: Impact of Temperature Module 05: Impact of Light Module 06: Impact of Soil and Water Module 07: Plant Propagation Module 08: Plant Nutrition Module 09: Harvesting, Training and Pruning Module 10: Growing Plant Indoors Module 11: Ornamental Horticulture and Garden Design Module 12: Cut Floral Design and Landscaping Module 13: Plant Pathology, Entomology and Weed Control Module 14: Permaculture and Arboriculture Module 15: Professional Opportunities in Horticulture Module 16: Biotechnology Applications in Horticulture CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Tree Surgeon course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Tree Surgeon. It is also great for professionals who are already working in Tree Surgeon and want to get promoted at work. Requirements To enrol in this Tree Surgeon course, all you need is a basic understanding of the English Language and an internet connection. Career path Arborist: £20,000 to £40,000 per year Tree Climber: £18,000 to £35,000 per year Tree Consultant: £25,000 to £50,000 per year Tree Inspector: £22,000 to £40,000 per year Urban Forester: £25,000 to £45,000 per year Tree Officer: £28,000 to £50,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Our comprehensive program is meticulously crafted to equip you with the essential skills and knowledge required to thrive in your chosen field. Developed by seasoned professionals with years of industry experience, this course is ideal for those seeking to kickstart their careers or enhance their existing skill set. Featuring an engaging audio-visual presentation and easily digestible modules, our program facilitates a self-paced learning experience. Our dedicated online support team is available on weekdays to provide assistance throughout your journey. Key Learning Outcomes: Grasp the fundamentals and their practical applications. Cultivate the necessary skills for success in your field. Apply newfound knowledge to real-world scenarios. Develop effective solutions for relevant topics. Elevate your employability and career prospects.   Designed to give you a competitive edge in the job market, this course offers lifetime access to materials and the flexibility to learn at your own pace, from the comfort of your home. Why Choose Us? Learn at your own pace with 24/7 online access to course materials. Benefit from full tutor support available Monday through Friday. Acquire essential skills in the convenience of your home through informative video modules. Enjoy 24/7 assistance and advice via email and live chat. Study on your preferred device - computer, tablet, or mobile. Gain a thorough understanding of the course content. Improve professional skills and earning potential upon completion. Access lifetime course materials and expert guidance. Enjoy the convenience of online learning with flexible schedules. Why Enroll in This Course? Our program provides a comprehensive introduction to the subject matter, laying a solid foundation for further study. It empowers students to acquire knowledge and skills applicable to both their professional and personal lives. Assessment: The course incorporates quizzes to evaluate your understanding and retention of the material. These quizzes pinpoint areas for further practice, allowing you to review course materials as needed. Successfully passing the final quiz qualifies you for a certificate of achievement. Career Path: Our course is meticulously designed to equip you for success in your chosen field. Upon completion, you'll have the qualifications to pursue diverse career opportunities across various industries. Course Content Arboriculture - Tree Biology & Planting Techniques Module 1: Introduction to Arboriculture Module 2: Tree Biology and Physiology Module 3: Tree Identification and Taxonomy Module 4: Tree Health and Assessment Module 5: Tree Pruning and Maintenance Module 6: Advanced Tree Care Techniques Module 7: Tree Planting and Establishment Module 8: Urban Forestry and Planning

This course aims to teach you how to use Python for machine learning and data science.

Take on a transformative journey in arboriculture, where you'll delve into the intricate world of trees and their management. This course isn't just about learning the basics; it's about mastering techniques crucial for sustainable arboriculture practices. As urban spaces expand, the demand for skilled arborists grows exponentially. Understanding tree biology, pruning techniques, and disease management is essential for maintaining green spaces. By mastering arboriculture, you'll be equipped to tackle challenges like tree selection, planting, and maintaining soil health for optimal growth. Not only does this knowledge enhance your daily life by fostering a deeper connection with nature, but it also opens doors to lucrative career opportunities, particularly in the UK where the demand for certified arborists is high. With a median salary ranging from £20,000 to £35,000 per annum, the financial rewards are substantial. The sector is rapidly expanding, with a projected increase of 8% in job opportunities over the next decade. So, seize the opportunity to carve a flourishing career path in arboriculture, where your skills will be in high demand, shaping a greener and more sustainable future for generations to come. Key Features: CPD Certified Foundations of Arboriculture Course Free Certificate from Reed CIQ Approved Foundations of Arboriculture Course Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Arboriculture Module 02: Tree Planting Techniques Module 03: Tree Selection for Arboricult Module 04: Tree Biology Module 05: Soil and Tree Growth Module 06: Pruning Trees Module 07: Tree Diseases and Management Module 08: Arboriculture Equipments and Operations Module 09: Workplace Health and Safety Learning Outcomes: Understand tree biology, fostering optimal growth and development. Implement effective tree planting techniques for thriving arboreal ecosystems. Identify and manage tree diseases, safeguarding arboreal health and vitality. Navigate soil dynamics to promote robust tree growth and sustainability. Execute precise pruning methods to enhance tree aesthetics and health. Operate arboriculture equipment proficiently, ensuring efficient tree care practices. CPD 10 CPD hours / points Accredited by CPD Quality Standards Foundations of Arboriculture: Techniques, Safety, and Management 2:41:36 1: Module 01: Introduction to Arboriculture Preview 14:01 2: Module 02: Tree Planting Techniques 09:34 3: Module 03: Tree Selection for Arboricult 16:22 4: Module 04: Tree Biology 20:04 5: Module 05: Soil and Tree Growth 21:04 6: Module 06: Pruning Trees 17:50 7: Module 07: Tree Diseases and Management 22:15 8: Module 08: Arboriculture Equipments and Operations 18:31 9: Module 09: Workplace Health and Safety 20:55 10: CPD Certificate - Free 01:00 Who is this course for? This Foundations of Arboriculture course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Foundations of Arboriculture. Moreover, this course is ideal for: Aspiring arborists seeking comprehensive knowledge in tree care techniques. Landscapers aiming to expand their expertise into tree management. Environmental enthusiasts passionate about preserving arboreal ecosystems. Gardeners looking to elevate their understanding of tree biology and care. Horticulture professionals keen on mastering advanced tree care practices. Requirements There are no requirements needed to enrol into this Foundations of Arboriculture course. We welcome individuals from all backgrounds and levels of experience to enrol into this Foundations of Arboriculture course. Career path After finishing this Foundations of Arboriculture course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Foundations of Arboriculture are: Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Embark on a journey of creativity and sustainability with our Garden Design & Planning course. Learn the art of garden aesthetics, practical planting techniques, and maintenance strategies to transform any space into a thriving, beautiful garden. Ideal for aspiring garden designers and enthusiasts.