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OVERVIEW This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Python for Data Analysis 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. COURSE CURRICULUM 19 sections • 99 lectures • 00:08:00 total length •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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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- Python for Data Analysis: 00:00:00

OVERVIEW In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. REQUIREMENTS The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   CAREER PATH This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as * Data Analyst  * Data Scientist  * Data Manager  * Business Analyst COURSE CURRICULUM 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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

Introducing the Chainsaw Safety Training, your doorway to mastering the art of wielding this powerful tool safely and efficiently. With eight crucial modules, our comprehensive course takes you from 'Chainsaw Basics' to 'Post-Operation and Emergency Procedures.' Learn the ins and outs of chainsaw handling, personal protective equipment, and advanced techniques. Safety is paramount, and this course equips you with the knowledge and skills needed to operate chainsaws with confidence. Whether you're an arborist, a forestry worker, or simply passionate about the outdoors, this course is your key to safe and effective chainsaw operation. Join us and unlock the secrets to mastering this indispensable tool. Key Features * CPD Accredited * FREE PDF + Hardcopy certificate * Fully online, interactive course * Self-paced learning and laptop, tablet and smartphone-friendly * 24/7 Learning Assistance * Discounts on bulk purchases Course Curriculum * Lesson 01 :Chainsaw Basics * Lesson 02 :Understanding the Equipment * Lesson 03 :Personal Protective Equipment (PPE) * Lesson 04 :Pre-Operation Safety Checks * Lesson 05 :Chainsaw Handling and Operation * Lesson 06: Advanced Chainsaw Techniques * Lesson 07:Safety Measures * Lesson 08:Post-Operation and Emergency Procedures Learning Outcomes: * Understand the fundamental principles of chainsaw operation. * Identify and utilise chainsaw equipment effectively. * Choose and wear the appropriate Personal Protective Equipment (PPE). * Conduct pre-operation safety checks for a chainsaw. * Demonstrate safe chainsaw handling and operation. * Acquire advanced techniques for efficient and safe chainsaw use. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? * Arborists and tree surgeons. * Forestry workers and loggers. * Landscapers and outdoor enthusiasts. * Farmers and ranchers. * Construction and maintenance personnel. * Individuals seeking to use chainsaws safely at home. * Safety officers responsible for chainsaw safety. * Anyone interested in mastering chainsaw operation. CAREER PATH * Arborist * Forestry Worker * Landscaper * Farmer * Construction Worker * Safety Officer CERTIFICATES DIGITAL CERTIFICATE Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. HARD COPY CERTIFICATE Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

In the aftermath of the Great Storm of 1987, Arboriculture gained a new significance in the UK as millions of trees were replanted. 'Unvealing the Connection Between Soil and Tree Growth' dives into the heart of Arboriculture, demystifying the crucial link between soil and tree growth while guiding learners through the diverse landscape of tree care and management. Learning Outcomes: * Grasp the foundational concepts of Arboriculture. * Learn varied tree planting techniques. * Understand the art of selecting the right trees for different Arboriculture needs. * Explore tree biology and the fundamental connection between soil and tree growth. * Master the practice of pruning trees and managing tree diseases. * Get well-versed with Arboriculture equipment, operations, and workplace health and safety measures. In this course, you will embark on an enlightening journey through the world of Arboriculture, beginning with its basic principles. We will guide you through effective tree planting techniques, helping you choose the most suitable trees for different Arboriculture demands. The course then proceeds to offer an in-depth exploration of tree biology, unravelling the intricate bond between soil and tree growth. We also dive into the specifics of pruning trees and handling tree diseases, ensuring you're well-equipped to manage these challenges. With Arboriculture as our cornerstone, we will then proceed to familiarise you with different Arboriculture equipment and operations, and guide you through important health and safety measures in the workplace. This course offers a comprehensive understanding of Arboriculture and its myriad applications. Certification Upon successful completion of the course, all learners will be eligible to receive a certificate titled Arboriculture to acknowledge their achievement. We are delighted to offer two formats for your certificate: PDF and Hardcopy. PDF Certificate: This digital version of your certificate will be available for you to download and print for totally FREE. Hard Copy Certificate: For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. UK Delivery: If your shipping address is within the United Kingdom, the delivery fee will be only £3.99. International Delivery: For all international addresses outside of the United Kingdom, the delivery fee will be only £10. CPD 10 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? * Individuals aspiring to build a career in Arboriculture. * Gardening enthusiasts eager to gain a deeper understanding of Arboriculture. * Landscape architects aiming to enhance their knowledge of trees and soil. * Forestry professionals seeking to hone their Arboriculture skills. * Environmental conservationists are looking to understand the importance of Arboriculture in maintaining ecosystems. CAREER PATH * Arboriculturist: The typical annual salary ranges from £20,000 to £30,000. * Tree Surgeon: Generally, their salaries vary between £18,000 and £30,000 per annum. * Landscape Architect: Earnings typically range from £25,000 to £45,000 per year. * Forestry Consultant: The annual income varies from £20,000 to £40,000. * Urban Forester: They can earn between £22,000 and £35,000 per year. CERTIFICATES DIGITAL CERTIFICATE Digital certificate - Included HARD COPY CERTIFICATE Hard copy certificate - Included Hardcopy Certificate (UK Delivery): For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only £3.99. Hardcopy Certificate (International Delivery): For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10.

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

Do you intend to begin a career in conservation biology? Experienced environmentalists, those just starting their careers, and those changing careers will all benefit from this conservation diploma. Each day an animal close to extinction dies, lives are stripped away, and one of our greatest natural wonders becomes a mere memory. This course investigates the history and theories of conservation and the benefits of biodiversity in conservation biology. You will learn about species, genes and ecosystems, as well as their relationship. On top of that, you will study ecosystem diversity, species diversity, ecosystem management and wildlife conservation. In addition, you will learn how to conduct Conservation Project Planning. With this comprehensive conservation diploma, you can learn the skills you need to run your own fishery or pursue a career as a marine biologist. You will gain a thorough understanding of the Conservation Diploma Course and be able to advance your career with the help of this course, which was created by professionals in the field and is filled with a number of enlightening modules. Enrol right now to learn more about conservation to increase biodiversity and keep the ecosystem healthy and functioning. Learning Objectives: * Gain an understanding of the fundamentals of conservation, ecology and environmental law * Learn about marine conservation, forestry and deforestation * Develop in-depth knowledge of fisheries management and the management of vegetation and birds * Broaden your knowledge of the greenhouse effect, the ozone layer and waste materials * Learn how to care for the soil and improve soil fertility * Become an expert in Conservation Management * Learn about pollution and its impact on the natural world * Deepen your understanding of the problems our environment faces Key Highlights * The Quality Licence Scheme ensures that the course you enrolled in, is of the highest quality. * It helps you to get recognised by employers easily. * The endorsed certificate of Conservation Diploma Course will make you stand out from the crowd when applying for jobs during this pandemic. * The Certificate of Achievement Endorsed by the Quality Licence Scheme has helped thousands of people reach their professional goals and get better jobs. Key Benefits * Eligibility for a The CPD Certification Service (CPD UK)- certified certificate on successful completion of this Course * Learning materials of the course contain engaging voiceover and visual elements for your comfort * Freedom to study at your own pace * 24/7 access to this course materials for 12 months * Full Tutor support on weekdays (Monday - Friday) Animals, plants, and their habitats are preserved and protected through conservation efforts. It is crucial because it guarantees that future generations will value and embrace our natural world. Biodiversity conservation necessitates a thorough knowledge of genes, species, how they interact with their environment, and how human activities affect them. The principles of conservation are covered in this diploma programme in conservation, which also examines environmental law, the various ecologies, and the problems our environment faces. You will gain the in-depth information you need to start a successful career in this profession by learning about deforestation, fisheries management, soil fertility, and the effects of pollution on the environment. By enrolling in this thorough course right away, you can better understand biodiversity and what you can do to protect the environment. Course Curriculum: * Module 01: The Fundamentals of Conservation * Module 02: Introduction to Biodiversity * Module 03: Introduction to Ecosystem * Module 04: Species and Ecosystems * Module 05: Wildlife Conservation * Module 06: Ocean Challenges and Solutions * Module 07: Conservation Project Planning Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. CPD 120 CPD hours / points Accredited by The CPD Certification Service WHO IS THIS COURSE FOR? * For highly motivated individuals or groups who wish to improve their professional abilities and efficiently skilled workers, this training is appropriate. * This course is suitable for anybody interested in pursuing a career in conservation management, marine biology, fisheries management, or other subjects relevant to conservation. REQUIREMENTS There are no formal entry requirements for this course, with enrollment open to anyone! CAREER PATH The theoretical knowledge you gain from this course will assist you in taking a step further in your professional career. You may not be eligible to practise as a specialist in this subject with this conservation diploma course, but after completing you can look forward to continuing your journey as a professional in this field. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - £9 CERTIFICATE OF COMPLETION Hard copy certificate - £89 QLS Endorsed Certificate Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - * Within the UK: £89 * International: £89 + £10 (postal charge) = £99 CPD Certification Service Accredited Certification * Hardcopy Certificate (within the UK): £15 * Hardcopy Certificate (international): £15 + £10 (postal charge) = £25

Did you know "Goodbye" used to be "God be with you"? Imagine whispering that ancient blessing to your students in a bustling Tokyo classroom, or explaining its evolution to eager learners in Rio. This TEFL / TESOL & English Grammar course isn't just about mastering verb conjugations and comma placement - it's about unlocking the 15 hidden superpowers of language. Imagine this: * Decoding the secret societies of idioms: Unearth the playful paradoxes of "raining cats and dogs" and "killing two birds with one stone," leaving your students giggling with newfound understanding. * Time-traveling through tenses: Master the magic of the past, present, and future, showing your students how to paint vivid pictures with words and navigate the ever-shifting sands of time. * Conquering the Everest of sentence structures: Climb the peaks of complex grammar with confidence, guiding your students through the valleys of clauses and the forests of phrases with clear, concise explanations. * Building bridges with prepositions: Explore the hidden stories within "by," "to," and "of," revealing how these tiny words connect us across cultures and continents. * Orchestrating the symphony of speech: Discover the rhythm and melody of language, helping your students find their voice and express themselves with captivating fluency. Teaching English Language: TEFL / TESOL & English Grammar isn't a textbook drill - it's a passport to endless possibilities. Picture yourself sipping chai with students in Mumbai, sharing laughter and stories over perfectly-conjugated verbs. Imagine the thrill of guiding eager minds in Prague through the labyrinthine beauty of the English language. This course isn't just about teaching English - it's about connecting with the world, one sentence, one smile, at a time. So, pack your passion for language and prepare to embark on a transformative journey. Enroll in Teaching English: TEFL / TESOL & English Grammar today, and say "hello" to a world of unforgettable experiences! Learning Outcomes of the Teaching English: TEFL / TESOL & English Grammar Course: Upon successful completion of the Teaching English: TEFL / TESOL & English Grammar course, you will be able to, * Recognise the importance of studying and teaching English. * Discover many language strategies with the Teaching English Language: TEFL / TESOL & English Grammar course. * Learn how to pronounce English words well. * Learn enough of the vocabulary and grammatical basics with the Teaching English Language: TEFL / TESOL & English Grammar course. * Boost your reading, writing, speaking, and listening abilities with the Teaching English Language: TEFL / TESOL & English Grammar course. * Gain further knowledge about TEFL lesson frameworks with the Teaching English Language: TEFL / TESOL & English Grammar course. * Gain further knowledge about TESOL lesson frameworks. * Utilise activities and games with the Teaching English Language: TEFL / TESOL & English Grammar course. * Recognise the role of technology in the teaching and learning of second languages. * Determine various situational perspectives with the Teaching English Language: TEFL / TESOL & English Grammar course. * Examine the connection between employment and professional growth. What will make you stand out? On completion of this with the Teaching English Language: TEFL / TESOL & English Grammar course, you will gain: * CPD QS Accredited * After successfully completing the with the Teaching English Language: TEFL / TESOL & English Grammar Course, you will receive a FREE PDF Certificate as evidence of your newly acquired abilities. * This Teaching English Language: TEFL / TESOL & English Grammar course has Lifetime access. * The online test with immediate results * You can study and complete the Teaching English: TEFL / TESOL & English Grammar course at your own pace. Master the Art of Teaching English Language: TEFL/TESOL & English Grammar! This comprehensive 15-module Teaching English Language: TEFL/TESOL & English Grammar program is your gateway to a rewarding career in Teaching English Language: TEFL/TESOL & English Grammar. Dive deep into the world of language learning and equip yourself with the skills and knowledge to confidently guide students of all ages and backgrounds. Here's what you'll conquer with the Teaching English Language: TEFL / TESOL & English Grammar course: * Module 1-5: Laying the Foundation: Grasp the core principles of TEFL/TESOL by understanding how students learn English, exploring the intricacies of linguistics, and mastering English pronunciation. Dive into effective methods for teaching grammar and vocabulary, and discover a range of language teaching methodologies. * Module 6-9: Honing Your Skills: Become a skilled instructor in all four language domains. Learn proven techniques for teaching reading, writing, listening, and speaking, ensuring your students develop all-around fluency and confidence in using English. * Module 10-12: Engaging the Classroom: Craft captivating lessons that keep your students enthralled! Learn how to plan effective lessons, create engaging materials, and incorporate games, activities, and technology to keep the learning dynamic and fun. * Module 13-15: Mastering the Craft: Delve into essential classroom management strategies to handle diverse learners and keep your students motivated. Explore the situational approach to language teaching, and gain valuable insights into professional development and employment opportunities in the global TEFL/TESOL field. Finally, the Teaching English Language: TEFL / TESOL & English Grammar Assignment puts your knowledge to the test, solidifying your mastery of Teaching English Language: TEFL/TESOL & English Grammar. Embrace the adventure of teaching English, and embark on a journey of personal and professional growth with this Teaching English Language: TEFL / TESOL & English Grammar program. So, are you ready to unlock the magic of Teaching English Language, TEFL/TESOL & English Grammar? Enroll today and let the learning begin! CPD 10 CPD hours / points Accredited by CPD Quality Standards MODULE 01: INTRODUCTION TO ENGLISH LANGUAGE TEACHING & LEARNING 08:46 * 1: Introduction to English Language Teaching & Learning Preview 08:46 MODULE 02: LINGUISTICS 24:19 * 2: Linguistics Preview 24:19 MODULE 03: ENGLISH PRONUNCIATION 13:36 * 3: English Pronunciation 13:36 MODULE 04: TEACHING GRAMMAR AND VOCABULARY 17:01 * 4: Teaching Grammar and Vocabulary 17:01 MODULE 05: LANGUAGE TEACHING METHODOLOGIES 11:38 * 5: Language Teaching Methodologies 11:38 MODULE 06: TEACHING RECEPTIVE SKILLS: READING 11:28 * 6: Teaching Receptive Skills: Reading 11:28 MODULE 07: TEACHING PRODUCTIVE SKILLS: WRITING 09:51 * 7: Teaching Productive Skills: Writing 09:51 MODULE 08: TEACHING RECEPTIVE SKILLS: LISTENING 10:02 * 8: Teaching Receptive Skills: Listening 10:02 MODULE 09: TEACHING PRODUCTIVE SKILLS: SPEAKING 08:54 * 9: Teaching Productive Skills: Speaking 08:54 MODULE 10: LESSON PLANNING AND CREATING MATERIALS 16:49 * 10: Lesson Planning and Creating Materials 16:49 MODULE 11: USE OF GAMES AND ACTIVITIES 09:03 * 11: Use of Games and Activities 09:03 MODULE 12: TECHNOLOGY IN SECOND LANGUAGE TEACHING & LEARNING 13:37 * 12: Technology in Second Language Teaching & Learning 13:37 MODULE 13: CLASSROOM MANAGEMENT AND STUDENT MOTIVATION 18:55 * 13: Classroom Management and Student Motivation 18:55 MODULE 14: TEACHING ENGLISH: SITUATIONAL APPROACH 20:28 * 14: Teaching English: Situational Approach 20:28 MODULE 15: PROFESSIONAL DEVELOPMENT AND EMPLOYMENT 14:25 * 15: Professional Development and Employment 14:25 ASSIGNMENT - TEFL / TESOL CERTIFICATION 03:00 * 16: Assignment On TEFL / TESOL 03:00 PDF WHO IS THIS COURSE FOR? Anyone can enrol in this Teaching English Language: TEFL / TESOL & English Grammar course including: * Novice English teachers. * Anyone who wishes to improve their learning techniques and perhaps one day teaches the English language. Note: This Teaching English Language: TEFL / TESOL & English Grammar course is not a regulated course. To get qualified, you may choose: * Level 5 Certificate in Teaching English as a Foreign Language (RQF) * Level 5 Certificate in Teaching English as a Foreign Language (TEFL) (The TEFL Academy) * Level 5 Diploma - Certificate in Teaching Practice (TEFL) (The TEFL Academy) * Level 7 Diploma in Teaching English to Speakers of other Languages * ESOL * Level 5 Diploma in Teaching English: Literacy and ESOL (RQF) * Level 1 Award in ESOL Skills for Life (Reading) (RQF) * Level 1 Award in ESOL Skills for Life (Speaking and Listening) (RQF) * Level 1 Award in ESOL Skills for Life (Writing) (RQF) * Level 2 Award in ESOL Skills for Life (Reading) (RQF) * Level 2 Award in ESOL Skills for Life (Speaking and Listening) (RQF) * English literature * GCSE English * GCSE English * A-level English Language * A-level English Literature * Functional Skills Qualification in English at Entry Level 1 * Functional Skills Qualification in English at Entry Level 2 REQUIREMENTS Without any formal requirements, you can delightfully enrol in this Teaching English Language: TEFL / TESOL & English Grammar course. CAREER PATH This Teaching English Language: TEFL / TESOL & English Grammar course enables you to learn in-depth knowledge and develop the skills you need to succeed in the following career opportunities: * English Teacher * TEFL Teacher * IELTS Instructor * English Language Teacher * English Grammar Teacher * Teaching Assistant                    

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.

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.