42816 Learning courses in Coventry delivered Online

Train to become a Nursery Practitioner, 1-2-1 Tutor support and practical Assessors provided. Easy to use learner platform to guide you through your study step by step. The Level 3 Childcare and Education Diploma (Early Years Educator) is for anyone looking to work in a Nursery as a Nursery Practitioner. This fully recognised Childcare and Education qualification will give you what is required when applying for jobs in Nurseries.

DASA DevOps Fundamentals: Virtual In-House Training The DASA DevOps Fundamentals™ certification provides the core education necessary to build your DevOps vocabulary and understand its principles and practices. It's the ideal starting point for DevOps journeys, whether you're already familiar with working with Agile and/or DevOps teams or not. Faster software deployment, increased deployment frequency, and higher change success rate are only some of the visible outcomes of practicing DevOps. Organizations such as Netflix, Spotify, and Facebook are transforming IT by successfully implementing DevOps principles. But you don't have to be big to be a DevOps leader. Companies large and small, young and old, have smoothly made the transition and have the proof of success in their pockets. This course will inspire you to serve as a change champion by sharing and using what you learned, and continue to learn, about DevOps to lead and mentor others. A solid understanding of DevOps Fundamentals has helped numerous professionals and organizations how to approach a DevOps journey, not only from a tool and automation perspective but also looking in-depth at the softer side of things. This course provides learners with an extensive introduction to the core Agile DevOps principles. It covers all 12 key knowledge and skill competencies defined by DASA to ensure you acquire a solid knowledge of DevOps concepts and terminology. Multiple cases or scenarios, group discussions, and examples are included in the course to enhance your learning experience. What you will Learn DASA DevOps Fundamentals-certified professionals are able to: Explain the drivers responsible for the emergence of DevOps. Define and discuss the key concepts and principles of DevOps. List and explain the business benefits of DevOps and continuous delivery. Know how teams can translate DevOps principles into tangible practices. Learn about modern operations in a DevOps context. Explain the concepts of test automation, infrastructure automation, and build and deployment automation. Describe how DevOps relates to Lean and Agile methodologies. Get insight into the various organizational DevOps models and architectures. Identify how Cloud and Delivery pipeline automation optimizes and accelerates the ways of working. Discuss the critical success factors for DevOps transformation. Introducing DASA DevOps Fundamentals DASA DevOps Fundamentals An Introduction Case Study - Easy Journey Airways Building the DevOps Context DevOps Evolution Business Benefits of DevOps DASA DevOps Principles Goals and Measurements Knowing DevOps for Individuals T-Shape Profiles DevOps Capabilities by DASA DASA DevOps Certifications Getting Acquainted with DevOps Culture and Behavior Embracing a DevOps Culture Core Elements of a DevOps Culture Implementation of a DevOps Culture Understanding the Value of DevOps for Teams and Organizations Organizational Models Team Autonomy DevOps at Scale Getting Familiar with DevOps Management Practices ITSM Lean Agile Getting Familiar with DevOps Technical Practices Architecture Modern Infrastructure and Cloud Operations Enabling DevOps Team Performance Through Continuous Delivery and Automation Software Delivery Automation Concepts Continuous Delivery Core Concepts Continuous Delivery Automation Concepts Continuous Delivery Automation Focus Topics Measuring the Performance - The Next Steps Analyze the Current Situation Improve Incrementally

Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Leadership and Management level 7 This Level 7 Leadership & Management course will help you advance your career by providing you with the most up-to-date leadership and management information. The course requires no prior knowledge or experience, as candidates are introduced to the characteristics and qualities of an effective leader. The term 'leader' refers to someone who is followed by others, while 'manager' refers to someone who has people working for them. To guide his or her team to achieve organizational goals, a successful business owner must be both an influential leader and an active manager. Whether you are a novice or a seasoned pro, this Training Tale course will help you develop the leader within you. Learn how to build and optimize a high-performing team, cultivate an engaging organizational culture, and provide constructive feedback to coworkers by enrolling in this course. This Level 7 Leadership & Management course will help you get closer to your goals if you are new to leadership or looking to advance in your current position! By the end of the Leadership & Management course, you will have a solid understanding of what makes a great leader and how to put the strategies you have learned into practice to advance your career. Enrol in this Course to learn how to improve your leadership and management skills. Learning Outcomes After completing this Leadership and Management Course you will be able to: Become a successful leader. Distinguish between management and leadership and their impact. Encourage and reward workers who increase their production. Improve your professional communication skills. Examine various approaches, causes, and tactics that can help you advance your leadership skills and capabilities. Define the terms 'delegation' and 'leading by example.' Improve your team-building abilities. Give and receive positive reviews. Improve interviewing skills for effective employee recruitment. Why Choose Leadership and Management level 7 Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Leadership and Management level 7*** Course 01: Leadership and Management level 7 Course 02: Anger Management Course 03: Level 3 Business Administration ***Other Benefits of this Course Free 3 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the course ] ***Leadership and Management level 7*** ***Course Curriculum*** Module 1: Understanding Management and Leadership Introduction Defining Leadership Leadership Styles Role of a Leader Managers Vs. Leaders Ethics Summary Module 2: Leadership over Yourself Understand what Self-leadership is Time Management Set Goals Decision Making and Problem Solving Summary Module 3: Creativity and Innovation Introduction Creativity Innovation Organisation and Innovation Summary Module 4: Leadership and Teambuilding What a Leader Must Do? Functions of Leadership Leadership Exists at Different Levels Leadership Skills Team Building Summary Module 5: Motivation and People Management Introduction Theories on Motivation Managers/Leaders and Motivation Getting Best from the People Summary Module 6: Communication and Leadership Introduction Listening Skills Reading Skills Writing Skills Speaking Skills Summary Module 7: Presentation, One-to-one Interview and Meeting Management Profile the Occasion, Audience and Location Plan and Write the Presentation One-to-One Interview Meeting Management Within Your Organisation Summary Module 8: Talent Management Define Talent and Talent Management Understand the Benefits of Talent Management Talent Management Types Talent Gap Talent Management Methodology Summary Module 9: Strategic Leadership The Function of a Strategic Leader Strategic Management Process Mission and Strategic Leadership Vision and Strategic Leadership The Importance of Practical Wisdom Summary Module 10: Stress Management Introduction Defining Stress Practice the 4 A's of Stress Management Maintain Balance with a Healthy Lifestyle Manage Your Time Better Make Time for Fun and Relaxation Summary ---------------------------- **GIFT courses: ---------------------------- ***Anger Management Module 01: Introduction to Anger Module 02: The Process in Anger Module 03: Effect of Anger on Our Thinking Module 04: How to Manage Anger ---------------------------- ***Level 3 Business Administration Module 01: Introduction to Business Administration Module 02: Principle of Business Module 03: Principles of Business Communication Module 04: Principles of Administration Module 05: Understand How to Improve Business Performance Module 06: Understand Equality, Diversity and Inclusion in the Workplace Module 07: Principles of Leadership and Management Assessment Method After you have finished the Leadership and Management level 7 Course, you will need to take an electronic multiple-choice exam or Assignment to see if you have grasped everything. To pass the exam and be eligible for the pending certificates, you must achieve at least 60%. As soon as you pass the examination, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Leadership and Management level 7 This Leadership and Management Course is for anyone serious about their professional development. This Course is designed primarily for group leaders, managers at all levels, and business professionals. Students and recent graduates who want to improve their resumes and gain experience are also welcome to enrol in this Leadership and Management Course. Requirements Leadership and Management level 7 There are no specific requirements for this Leadership and Management Course because it does not require any advanced knowledge or skills. Students who intend to enrol in this Course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Certificates Certificate of completion Digital certificate - Included

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

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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Talent Management & Employee Retention Techniques Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Talent Management & Employee Retention Techniques Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Talent Management & Employee Retention Techniques Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Talent Management & Employee Retention Techniques Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Talent Management & Employee Retention Techniques? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Talent Management & Employee Retention Techniques 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 course for? This Talent Management & Employee Retention Techniques course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Talent Management & Employee Retention Techniques does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Talent Management & Employee Retention Techniques 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Talent Management & Employee Retention Techniques is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 1: Introduction Unit 1: Welcome to the Course 00:05:00 Unit 2: Course Highlights 00:03:00 Unit 3: Quick Activity 00:02:00 Section 2: Core Concepts Unit 1: What does Talent Management Mean 00:06:00 Unit 2: Steps for Talent Management Process 00:05:00 Unit 3: Meaning of Talent Acquisition 00:06:00 Unit 4: 4 Tips to Hire the Best Employees 00:06:00 Unit 5: Training & Developing Employees + Quick Tips 00:05:00 Unit 6: Why Companies Spend Million Dollars in Training & Development 00:04:00 Unit 7: Why Employee Retention is Important for a Company 00:03:00 Unit 8: Employee Retention Techniques 00:07:00 Section 3: Best Employee Retention Strategies That Actually Work Unit 1: Why These Strategies Are So Useful 00:01:00 Unit 2: 1st Retention Strategy 00:06:00 Unit 3: 2nd Retention Strategy 00:11:00 Unit 4: Quick Activity - Here's How to Use It 00:01:00 Section 4: Employee Benefits & Retention Strategies Used by World's Top Companies Unit 1: Section Introduction 00:01:00 Unit 2: How Google Takes Care of its Employees 00:12:00 Unit 3: How Microsoft Retains it's Employees 00:06:00 Unit 4: Key Takeaway 00:04:00 Section 5: Practical Tips to Retain Employees in Your Organisation Unit 1: Offer Quick Incentives 00:03:00 Unit 2: Show Career Growth 00:02:00 Unit 3: Praising & Rewarding 00:02:00 Unit 4: Make it Convenient 00:03:00 Unit 5: Sponsor Education 00:02:00 Section 6: Bonus Section: Building a Strong Relation with Employees Unit 1: 3 Words to Retain Your Best Employees 00:03:00 Section 7: Conclusion Unit 1: Conclusion 00:01:00 Resources Resources - Talent Management & Employee Retention Techniques 00:00:00 Assignment Assignment - Talent Management & Employee Retention Techniques 00:00:00

If you’re looking to start a career in JavaScript coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before. Early on in the course, you’ll learn what coding is, what certain types of languages are used for, specifically JavaScript, and the types of careers available through learning JavaScript.