8349 Courses

Is she married? Do we have to post externally? These and other potentially loaded questions often appear during discussions regarding hiring. It is vital to understand what is appropriate and what is not when hiring practices is the name of the game. However, more than simply providing information, this course will take you through application exercises and provide a rich multimedia experience so that you can immediately apply what you have learned to your current situation.

Learn how to avoid sexual harassment in order to create a pleasant and professional work environment for you and all of your colleagues! Everyone should make sure that others feel safe at work. This course covers essential information about sexual harassment and through application exercises and a rich multimedia process, you will learn simple, and practical ways to avoid sexual harassment so that you and your colleagues will be comfortable and productive at work.

Business Communication and Conflict Management Diploma Unlock the keys to effective interaction in the corporate world with the Business Communication and Conflict Management Diploma. This specialized course focuses on enhancing your communication skills and understanding conflict management, essential traits for rising through the ranks in any business setting. Learning Outcomes: Master the intricacies of the business communication process. Identify and overcome barriers in business communication. Explore various styles of communication and their applicability. Study behavioral aspects that influence business communication. Learn multiple styles of conflict management. Gain insights into the challenges of managing workplace conflict effectively. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Business Communication and Conflict Management Diploma: Business Communication Process: Delve into the mechanics of communication within a business environment, including channels, formal and informal structures, and effective methodologies. Communication Barriers: Discover the common barriers to effective communication and strategies for overcoming these hurdles. Business Communication Styles: Examine different styles of communication, such as assertive, passive, and aggressive, and understand when each is most effective. Business Communication Behaviour: Understand the role of behavioral psychology in business communication, focusing on elements like body language, tone, and active listening. Styles of Conflict Management: Learn about various approaches to conflict resolution, including collaboration, compromise, and avoidance, and when to employ each tactic. Challenges of Workplace Conflict: Gain insights into the complexities of managing conflict in a workplace setting, including the impact on team dynamics, productivity, and overall business objectives.

Risk Assessment, Measurement & Management in Occupational Settings Apply advanced knowledge of risk assessment, measurement techniques, and management strategies to improve occupational safety across diverse workplaces with this incredible Risk Assessment, Measurement & Management Online Course. Learning Outcomes: Define the key components of a Risk Assessment in an occupational setting. Explain the importance of Risk Assessment in maintaining workplace safety. Conduct a basic Risk Assessment using a given template in a simulated occupational environment. Differentiate between qualitative and quantitative methods in Risk Assessment. Assess the effectiveness of various Risk Assessment tools and methodologies in different occupational settings. Develop a comprehensive Risk Assessment plan tailored to a specific occupational setting. Utilise Key Risk Indicators (KRIs) to monitor risks. Interpret data from a Risk Heat Map to prioritise risks Formulate risk mitigation strategies based on the findings of a Risk Assessment. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit This Risk Assessment course will teach you how to apply advanced knowledge of risk assessment, measurement techniques, and management strategies to improve occupational safety across diverse workplaces. Risk Identification and Assessment: Utilise a Risk Register and Heat Map for effective Risk Assessment. Risk Measurement and Quantification: Collect data and estimate losses using KRIs for targeted Risk Assessment. Risk Mitigation Strategies: Implement Root Cause Analysis and governance for focused Risk Assessment. Risk Financing and Risk Transfer: Master Risk Retention and Transfer techniques for optimal Risk Assessment. Operational Risk Management Framework: Create and integrate an ORMF for aligned Risk Assessment.

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

Duration 5 Days 30 CPD hours This course is intended for System architects and system administrators Overview By the end of the course, you should be able to meet the following objectives: Plan a deployment for VMware Cloud Foundation Understand VMware Cloud Foundation and supporting architecture Configure VMware Cloud Foundation for VMware Cloud Connectivity Understand the VMware Cloud Foundation subscription licensing model Perform Day-Zero tasks Perform VMware Cloud Foundation platform onboarding Manage user credentials in VMware Cloud Foundation Configure NSX networking in VMware Cloud Foundation Deploy and manage Workload Domains Deploy vSphere with Tanzu on VMware Cloud Foundation Understand and implement storage solutions and related policies Perform maintenance tasks for the VMware Cloud Foundation platform Manage certificates for VMware Cloud Foundation and connected technologies Manage the lifecycle for VMware Cloud Foundation Engage with VMware Cloud Foundation Technical Support This five-day training course provides you with the knowledge, skills, and abilities to achieve competence with VMware Cloud Foundation 5.0. This course teaches you how deploy VMware Cloud Foundation, and perform the tasks required for the initial configuration and ongoing operation after deployment. Course Introduction Introductions and course logistics Course objectives VMware cloud foundation overview Describe the VMware Cloud Foundation solution Describe VMware Cloud Foundation architecture Identify VMware Cloud Foundation components Describe the VMware Cloud Foundation topology VMware Cloud Foundation+ and VMware Cloud Connectivity Describe the VMware Cloud Foundation+ architecture Identify the pre-requisites for VMware Cloud Foundation+ Describe VMware Cloud Foundation+ value added features Configure subscription-based licensing parameters Describe the vCenter Cloud Gateway functionality Identify the vCenter Cloud Gateway components Describe the vCenter Cloud Gateway architecture Connect the vCenter Cloud Gateway to VMware Cloud Describe the VMware Cloud platform Describe the VMware vSphere+ services used in VMware Cloud Foundation+ Demonstrate the capabilities of the VMware Cloud user interface for VMware Cloud Foundation+ Day Zero Tasks Identify the requirements for deploying VMware Cloud Foundation Describe the VMware Cloud Foundation bring-up process Identify the information required for the Planning and Preparation Workbook Complete the Deployment Parameter Workbook Describe how VMware Cloud Builder automates the deployment process Identify the configuration validation process performed by VMware Cloud Builder Describe the deployment of the management domain Post-Deployment Operations Complete the Onboarding Wizard Understand VMware Cloud Foundation integration with VMware Single Sign-On Configure user access to VMware Cloud Foundation Describe the importance of user roles in vSphere Configure identity sources for VMware Cloud Foundation Perform the SDDC Manager backup and restore process Identify steps in the NSX backup and restore process Manage passwords in VMware Cloud Foundation Explain the importance of using VMware Cloud Foundation to manage passwords for vSphere components Manage and secure a primary password list Describe the process for rotating passwords not managed by VMware Cloud Foundation VMware Cloud Foundation Networking with NSX Describe network virtualization with NSX Recognize NSX operational planes Identify NSX components Describe logical switching Describe NSX Data Center deployment in VMware Cloud Foundation Explain how logical routing works in NSX Identify NSX Edge functions Describe data plane preparation for NSX Edge nodes in a workload domain Recognize Tier-0 and Tier-1 gateway topologies Define application virtual networks Describe management domain rack options List NSX Edge cluster requirements for vSphere with Tanzu Discuss NSX Edge cluster placement considerations Managing Workload Domains Define workload domains List the types of workload domains Identify workload domain prerequisites Understand the scalability limits for workload domains Identify use cases for multiple clusters in a workload domain Create network pools Size network pools Commission hosts with SDDC Manager Create workload domains Scale workload domains Decommission hosts from a workload domain Remove workload domains Describe distinctive design decisions for VMware Cloud Foundation components vSphere with Tanzu in VMware Cloud Foundation Explain vSphere with Tanzu Define the role of the Spherelet Describe the supervisor cluster control plane Create vSphere with Tanzu namespaces Describe the role of NSX networking components in vSphere with Tanzu Discuss vSphere with Tanzu networking topology Describe control plane VM management networking requirements Plan appropriate IP address ranges for pod, ingress, and egress networking Describe prerequisites for vSphere with Tanzu cluster compatibility Deploy vSphere with Kubernetes Create a vSphere namespace Configure limits and permissions for a vSphere namespace VMware Cloud Foundation Storage Management Identify storage use cases in VMware Cloud Foundation Determine the most appropriate storage option for a workload domain Describe different vSphere-native storage design options Identify vSAN architecture and components Describe vSAN requirements for the management and workload domains Configure deduplication and compression Discuss how to scale vSAN clusters in VMware Cloud Foundation Configure storage policies for vSAN Explain storage policy failure tolerance rules Identify a virtual machine storage policy compliance status Explain how vSAN storage policies protect VMware Cloud Foundation components Availability and Business Continuity Explain the importance of external service availability Describe availability options native to VMware vSphere Identify stretched cluster use cases Identify stretched cluster components Recognize stretched cluster requirements in VMware Cloud Foundation Prepare and deploy a vSAN stretched cluster using APIs VMware Cloud Foundation Certificate Management Learn the basics of public key infrastructure (PKI) Describe the purpose of certificate signing requests (CSRs) Describe available options in SDDC Manager for certificate authorities View certificates for VMware Cloud Foundation components Install and replace certificates for VMware Cloud Foundation components Configure the integrated Certificate Authorities in SDDC Manager Configure a certificate template in Microsoft Certificate Authority server Configure the OpenSSL certificate authority in SDDC Manager Install certificates issued by Microsoft, OpenSSL, and third-party certificate authorities VMware Cloud Foundation Lifecycle Management Describe VMware Cloud Foundation Life Cycle Management List the products managed by VMware Cloud Foundation Lifecycle management Use online and offline bundle downloads using VMware Cloud Foundation Lifecycle management Understand the role of vSphere Lifecycle Management in VMware Cloud Foundation Understand vSphere Lifecycle Manager features Understand how and when to use cluster images Describe the importance of Hardware Support Managers Describe the upgrade prerequisites Outline the upgrade precheck process Describe the order of upgrade for VMware Cloud Foundation components VMware Cloud Foundation Troubleshooting Use the SoS command-line tool to create log bundles, perform health checks, and check password validity List VMware Cloud Foundation services Identify VMware Cloud Foundation log files Use token IDs to troubleshoot failed workflows

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Level 3 QLS Endorsed Course | CPD & CiQ Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

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