42 Helm courses delivered Online

Starting a journey through the 'Career Coaching Level 3 Course' is akin to unlocking a treasure trove of career-transforming knowledge. Imagine yourself at the helm of a ship, navigating the vast ocean of professional possibilities. The course, structured in 11 comprehensive modules, begins with an enlightening introduction to career coaching, setting the stage for what lies ahead. As you progress, you'll explore the psyche and aspirations of career seekers, delving into the ethical quandaries of coaching and mentoring. By understanding diverse coaching models, you can tailor your approach to each unique individual. The heart of this course lies in fostering motivational skills and nurturing the coach-client relationship - essential elements for catalyzing career growth. Communication, often the cornerstone of successful coaching, is explored in depth, ensuring you can convey ideas and feedback with clarity and empathy. Further, the course is open to the pragmatic aspects of career coaching, covering personal, management, and functional skills. These modules are critical in shaping well-rounded coaches who can address a variety of professional scenarios. Culminating with an essential overview of UK employment law, the course ensures you're not just inspiring but also informed and able to guide with an awareness of legal frameworks. This comprehensive journey through the course guarantees that you emerge not just as a coach but as a beacon of guidance in the professional world, ready to illuminate paths and empower career aspirations. Learning Outcomes Acquire mastery in identifying and nurturing the ambitions and talents of career seekers. Develop an ethical compass for coaching, ensuring integrity in all professional interactions. Gain proficiency in various coaching and mentoring models, enabling a flexible and tailored approach. Enhance communication skills, crucial for effective coaching and client relationships. Understand the complexities of UK employment law, essential for providing informed and lawful guidance. Why buy this Career Coaching Level 3 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 Career Coaching Level 3 Course 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 Career Coaching Level 3 Course course for? Individuals aspiring to become professional career coaches. HR professionals seeking to deepen their coaching skills. Managers and leaders aiming to improve their mentoring capabilities. Educators and trainers looking to enhance their career guidance strategies. Career advisors desiring a comprehensive understanding of coaching dynamics. Prerequisites This Career Coaching Level 3 Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Career Coaching Level 3 Course 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 Career Coach: £30,000 - £45,000 per annum Human Resources Manager: £35,000 - £50,000 per annum Training and Development Officer: £25,000 - £40,000 per annum Corporate Trainer: £30,000 - £45,000 per annum Life Coach: £25,000 - £50,000 per annum Employment Law Advisor: £30,000 - £45,000 per annum Course Curriculum Module 01: Introduction to Career Coaching Introduction to Career Coaching 00:24:00 Module 02: The Career Seeker The Career Seeker 00:21:00 Module 03: Ethical Aspects of Coaching and Mentoring Ethical Aspects of Coaching and Mentoring 00:31:00 Module 04: Coaching and Mentoring Models Coaching and Mentoring Models 01:02:00 Module 05: Motivating Your Clients Motivating Your Clients 00:17:00 Module 06: The Coach/Client Relationship The Coach/Client Relationship 00:19:00 Module 07: Effective Communication Skills Effective Communication Skills 00:22:00 Module 08: Personal Skills Personal Skills 00:21:00 Module 09: Management Skills Management Skills 00:21:00 Module 10: Functional Skills Functional Skills 00:26:00 Module 11: Essential UK Employment Law Essential UK Employment Law 00:35:00 Assignment Assignment - Accredited level 3 Diploma in Career Coaching 00:00:00

🌱 Unlock Your Potential with Our Agriculture Course! Are you ready to cultivate a brighter future in the world of agriculture? Dive into the vast expanse of possibilities with our comprehensive Agriculture course! 🚜   Why Choose Our Agriculture Course? 👩‍🌾 Grow Your Knowledge: From soil management to crop production techniques, our course covers all aspects of modern agriculture, providing you with a solid foundation to thrive in this dynamic field. 📈 Stay Ahead of the Curve: In today's rapidly evolving agricultural landscape, staying updated with the latest trends and technologies is crucial. Our course ensures you're equipped with the most current practices to excel in your endeavors. 💡 Hands-On Learning: Theory is essential, but practical experience is invaluable. That's why our course integrates hands-on learning opportunities, allowing you to apply theoretical concepts in real-world scenarios, enhancing your understanding and skill set. 🌍 Make a Difference: Agriculture plays a vital role in feeding the world's growing population and addressing global food security challenges. By enrolling in our course, you'll be part of a movement driving sustainable agricultural practices and making a positive impact on society and the environment. 🎓 Expert Guidance: Learn from seasoned professionals and industry experts who bring years of experience and insights to the table. Benefit from their mentorship as you navigate through the complexities of agriculture and carve out your path to success.   Who is this for? 👨‍🌾 Aspiring Farmers: Whether you dream of managing your own farm or joining an established agricultural enterprise, this course provides the knowledge and skills you need to kickstart your journey in farming. 👩‍🔬 Agricultural Scientists: If you're passionate about research and innovation in agriculture, our course offers a solid grounding in scientific principles and methodologies, empowering you to contribute to groundbreaking discoveries and advancements in the field. 🌱 Agribusiness Entrepreneurs: For those looking to venture into agribusiness, understanding the intricacies of agriculture is essential for making informed decisions and maximizing profitability. Our course equips you with the business acumen and industry insights necessary to thrive in the competitive agribusiness landscape. 👩‍🎓 Students and Educators: Whether you're pursuing a career in agriculture or teaching the next generation of agricultural professionals, our course provides valuable resources and knowledge to support your academic and career aspirations.   Career Path 🚜 Farm Manager: Take the helm of agricultural operations, overseeing day-to-day activities, managing resources, and optimizing productivity to ensure the success of the farm. 🌾 Crop Consultant: Offer expert advice to farmers on crop selection, planting techniques, pest management, and other aspects of crop production to maximize yields and profitability. 🌱 Sustainability Specialist: Champion sustainable farming practices, promoting environmental stewardship and resource conservation to create a more resilient and eco-friendly agricultural ecosystem. 🔬 Research Scientist: Conduct groundbreaking research in agricultural science, exploring innovative solutions to enhance crop productivity, mitigate climate change impacts, and address global food security challenges. 📊 Agribusiness Manager: Lead strategic initiatives in agribusiness, from market analysis and supply chain management to sales and marketing, driving growth and profitability in agricultural enterprises.   Embark on your journey to success in agriculture today! Enroll in our Agriculture course and unlock a world of opportunities in this thriving industry. 🌱🌟   FAQ (Frequently Asked Questions) - Agriculture Course Q1: What is Agriculture? Agriculture is the practice of cultivating crops, raising animals, and other activities involved in the production of food, fiber, and other products used to sustain human life. It encompasses various practices such as crop cultivation, animal husbandry, forestry, and aquaculture. Agriculture plays a crucial role in providing food security, supporting livelihoods, and contributing to economic development globally. Q2: What are the key principles of sustainable agriculture? Sustainable agriculture aims to meet current food production needs without compromising the ability of future generations to meet their own needs. Key principles of sustainable agriculture include soil health management, water conservation, biodiversity preservation, integrated pest management, and promoting efficient resource use. It emphasizes environmentally friendly practices that promote resilience, minimize negative impacts on ecosystems, and ensure the long-term viability of agricultural systems. Q3: What are the major challenges facing modern agriculture? Modern agriculture faces various challenges, including climate change, soil degradation, water scarcity, pest and disease outbreaks, and socio-economic disparities. Climate change disrupts weather patterns, leading to more frequent extreme weather events such as droughts and floods, which affect crop yields and livestock production. Soil degradation reduces fertility and threatens agricultural productivity, while water scarcity limits irrigation and threatens crop survival. Pests and diseases can devastate crops if not managed effectively, and socio-economic disparities impact access to resources and markets for smallholder farmers. Q4: How can technology improve agricultural productivity? Technology plays a vital role in enhancing agricultural productivity and efficiency. Innovations such as precision farming, genetically modified crops, drones, and remote sensing technologies help farmers monitor crops, optimize inputs, and manage resources more effectively. Machinery and equipment such as tractors, harvesters, and irrigation systems streamline farming operations, saving time and labor. Information and communication technologies provide farmers with access to market information, weather forecasts, and agricultural extension services, enabling them to make informed decisions and improve their yields. Q5: What career opportunities are available in the field of agriculture? The field of agriculture offers diverse career opportunities across various sectors, including farming, agribusiness, research and development, extension services, education, policy-making, and conservation. Career options include agronomist, agricultural engineer, livestock specialist, farm manager, agricultural economist, food scientist, extension officer, environmental consultant, and policy analyst. With the growing demand for sustainable food production and innovation in agriculture, there is a need for skilled professionals to address the challenges and opportunities in the agricultural sector. Course Curriculum Module 1 Introduction to Agriculture Introduction to Agriculture 00:00 Module 2 Soil Management Soil Management 00:00 Module 3 Sustainable Agriculture Practices Sustainable Agriculture Practices 00:00 Module 4 Marketing and Business Management in Agriculture Marketing and Business Management in Agriculture 00:00 Module 5 Agricultural Technology Agricultural Technology 00:00

Embark on a transformative journey with our comprehensive 'Business Management' course, meticulously designed to mould tomorrow's leaders. Picture yourself at the helm of dynamic business operations, steering through the intricate world of management with ease and confidence. Our course, spanning 21 carefully curated modules, commences with an insightful introduction to business management, laying a robust foundation for your professional aspirations. Progress through a diverse array of topics including operations, strategic analysis, project management, and business development. Delve into the nuances of managing risk, quality, and human resources, coupled with enhancing your communication, negotiation, and organisational skills. This course is not just a learning path; it's a gateway to mastering the art of effective business management, equipping you with the tools to thrive in any corporate landscape. Our curriculum is crafted to provide a panoramic view of the business world. From the initial steps of understanding business analysis to mastering the subtleties of customer service and conflict management, each module is a stepping stone towards your success. Learn how to manage cash and credit, forecast operations, and ensure performance excellence. The course integrates essential skills like time management, motivation strategies, and counselling, preparing you for the multifaceted challenges of the modern business environment. By the end of this journey, you will not only possess a profound understanding of business management but also the practical acumen to apply your knowledge effectively. Learning Outcomes Develop a comprehensive understanding of various business management aspects, from operations to strategic planning. Gain proficiency in analyzing business environments and formulating effective strategies. Master the art of leading projects, managing risks, and ensuring quality in business processes. Acquire advanced communication, negotiation, and organisational skills pertinent to a managerial role. Understand and implement effective human resource management, including motivation and conflict resolution techniques. Why choose this Business Management 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 Business Management course for? Aspiring managers seeking a thorough grounding in diverse business management aspects. Individuals aiming to enhance their strategic analysis and project management capabilities. Entrepreneurs looking to gain insights into business development and succession planning. Professionals focused on improving their skills in risk management and quality assurance. Anyone interested in developing superior communication, negotiation, and leadership skills. Career path Business Analyst - £30,000 - £50,000 Operations Manager - £35,000 - £55,000 Project Manager - £40,000 - £60,000 Human Resources Manager - £38,000 - £58,000 Quality Assurance Manager - £36,000 - £56,000 Risk Manager - £45,000 - £65,000 Prerequisites This Business Management does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Business Management was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Business Management Introduction to Business Management 00:25:00 Module 02: Operations Management Operations Management 00:24:00 Module 03: Introduction to Business Analysis Introduction to Business Analysis 00:14:00 Module 04: Strategic Analysis and Product Scope Strategic Analysis and Product Scope 00:28:00 Module 05: Project Management Project Management 00:19:00 Module 06: Business Development and Succession Planning Business Development and Succession Planning 00:24:00 Module 07- Business Process Management Business Process Management 00:44:00 Module 08: Planning & Forecasting Operations Planning & Forecasting Operations 00:21:00 Module 09: Performance Management Performance Management 00:18:00 Module 10: Management of Cash and Credit Management of Cash and Credit 00:19:00 Module 11: Managing Risk and Recovery Managing Risk and Recovery 00:26:00 Module 12: Quality Management Quality Management 00:21:00 Module 13: Communication Skills Communication Skills 00:25:00 Module 14: Business Environment Business Environment 00:16:00 Module 15: Organisational Skills Organisational Skills 01:16:00 Module 16: Negotiation Techniques Negotiation Techniques 00:16:00 Module 17: Human Resource Management Introduction to Business Management 00:25:00 Module 18: Motivation and Counselling Motivation and Counselling 00:19:00 Module 19: Customer Service Customer Service 00:16:00 Module 20: Time Management Time Management 00:40:00 Module 21: Conflict Management Conflict Management 00:14:00 Assignment Assignment - Business Management 00:00:00

Join this course to take your 3D modeling skills up a notch! Graduate to the next level of game design by learning all about the Blender to Unreal Engine 5 (UE5) professional workflow for medieval dungeon props. You will learn how to build assets in Blender and then how to import them into Unreal Engine 5 for your project.

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: List the operational challenges for rolling out and operating telco services including 5G. Identify the role of VMware Telco Cloud products in supporting telco services. Discuss the role of VMware technologies such as vSphere, NSX, and Tanzu etc. in implementing telco services. Outline the role of native tools and other VMware monitoring tools such as vRealize Operations and vRealize Log Insight in maintaining network services. Choose the VMware Telco Cloud products that meet your application requirements. Deploy a solution architecture that meet VMware best practices for delivering services using VMware Telco Cloud products. Implement and maintain VMware Telco Cloud products in a secure manner. Identify the tools and remediation pathways for maintaining the availability and performance of your applications and infrastructure using VMware Telco Cloud and vRealize Suite products. Follow specific steps to resolve application performance and availability problems Scale your VMware Telco Cloud products to meet operational requirements in line with VMware best practices. Optimize the operation of VMware Telco Cloud products to ensure SLAs are met. This five-day, hands-on training course provides the knowledge to operate and scale VMware Telco Cloud version 2.x products in a Telco cloud provider environment. In this course, you are exposed to the entire VMware Telco Cloud portfolio, and the tools and methodologies available to ensure they operate effectively. In addition, you are presented with various scenarios where you will be guided through the process of identifying, analyzing, and formulating solutions to performance and other problems. Course Introduction Introductions and course logistics Course objectives Overview of Network Transformation Reviews the technologies that enable modern networks Lists the components of modern service provider networks Outlines characteristics of modern service provider networks in meeting customer application needs Service Delivery with VMware Telco Cloud Outlines the components of the VMware Telco Cloud portfolio Reviews the role each VMware Telco Cloud product plays in delivering telco services Specifies the dependencies each product has on underlying technologies Supporting VMware Telco Cloud Service Delivery Reviews the products that implements the virtualization, management, platform, and orchestration layers Outlines the role played by other VMware products such as NSX in delivering cloud services Outline opensource integration options with VMware Telco Cloud products Securing VMware Telco Cloud Reviews security threats that affect telco services Identifies the critical telco assets that are prone to attack Outlines best practice for securing VMware Telco Cloud products and underlying technology Provides overview of appropriate security controls for VMware Telco Cloud products Assessing Service Provision Reviews tools and methodologies used to gather requirements Outlines how to assess cloud-native capabilities Documenting findings Identifying security vulnerabilities with Helm. Reviews VMware?s Customer Engagement process Capturing infrastructure requirements from TCA Designing a VMware Telco Cloud Solution Selecting appropriate deployment topology Pros and cons of design choices How a design choice might be affected by other factors such as NSX and TKG deployment, or data center architecture Outlines typical scenarios where specific products align with identified requirements Documenting a design Designing for availability Ensuring a design aligns with best practice Specifying monitoring options Implementing VMware Telco Cloud Products Review deployment options for VMware products Integrating new products with existing ones Outline post-installation tasks Adding the new products as data sources in monitoring tools such as vRealize Operations and vRealize Operations Network Insight Ensuring products meet security requirements Configuring monitoring software Outlines the xNF onboarding process in TCA Maintaining Telco Services Outlines typical administrative tasks in ensuring services are maintained Use of native and other VMware performance monitoring tools Reviewing performance data Role of SLAs in service maintenance Reviews scenarios where known behaviors indicate problems Troubleshooting Deployed Telco Services Reviews the troubleshooting tools available Using tools to gather useful data Outlines how event correlation can be used to isolate problems Using a methodology to determine the root cause of a problem Steps to identify and resolve a problem Reviews scenarios where known problems are isolated and resolution steps identified Scaling VMware Telco Cloud Products Assessing if operations are impacted by lack of resources now or will be in the future Reviews performance optimization options Identifies implications for other products if you scale VMware Telco Cloud products Reviews VMware sizing guidelines Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Telco Cloud: Day 2 Operate and Scale [V2.x] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware Telco Cloud: Day 2 Operate and Scale [V2.x] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 £85 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 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 Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Create a Gatsby.js Progressive Web App with GraphQL, React, and WordPress and add JAMstack to your skills

This course is designed to give you the theoretical knowledge (and a lot more) to understand how to help in road related medical injuries. The First Aid for Motorcyclists course is an excellent First Aid Training package for people wishing to gain invaluable knowledge and vital skills at their own time and pace. The course includes topics such as how to help in a Road Traffic Accident, the recovery position, CPR, when and how to remove someone's motorcycle helmet, major crush - when is it safe to release someone? The course consists of illustrated step by step directions, flow charts, diagrams, videos and test yourself sections fully compatible with all computers and mobile devices. You will be able to stop and start as often as you like and print your Certificate on completion. You will have continuous access to the course for 12 months. It is impossible to cover all eventualities within this course, or to equip you with the knowledge and skills to appropriately diagnose and treat in unpredictable real life situations. If you suspect serious illness or injury, you should always seek immediate professional medical advice. The Author has made every effort to ensure the accuracy of the information contained within the course, however this course is merely a guide and the Author does not accept any liability or responsibility for any inaccuracies or for any mistreatment or misdiagnosis of any person, however caused. The course material has been written by Emma Hammett, Qualified Nurse, First Aid Trainer and founder of First Aid for Life in conjunction with other medical and first aid professionals. If you have any queries concerning this course, please contact emma@firstaidforlife.org.uk Course Contents: Action in an emergency Unresponsive and Breathing Resuscitation Unconscious and not breathing Recovery Position Choking Asthma Heart Attack and Angina Wounds and bleeding Shock Bites and Stings Burns Breaks, Sprains and Dislocations Head Injuries Spinal Injuries Road Traffic Accidents Fitting / Seizures / Convulsions

Learn to confidently use Blender 2.8 to create your own 3D characters

The Sci Fi Movie Poster - Photoshop Photomanipulation Course course is a one-stop-shop for those looking to improve their