2918 HR Management courses delivered Online

It's always a great surprise to find out that you are going to have a child. From that point on every parent starts to plan out every single part of the child's future, where he or she will go to school, what will he or she become in life and the wheel just keeps rotating. But what if something happens that isn't part of the plan, how do you identify the problems and fix it? Well what you need to do is get this Accredited Diploma in Child Development course right now. This is a great course for new parents or someone pursuing a career in child care. This will help you recognize the different stages of a child's development as they grow older. You will be able to identify milestones your child should reach at certain age. You will also be briefed about gross motor, fine motor and cognitive skills. You will be able to help the child develop their speech and social skills and examine options when there are certain growth delays. So stop wasting time now and get to taking care of your baby. Course Highlights Accredited Diploma in Child Development is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Accredited Diploma in Child Development into 10 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 6 hours, 25 minutes hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Accredited Diploma in Child Development Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Accredited Diploma in Child Development is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Accredited Diploma in Child Development is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Development Basics 00:30:00 Expected Milestones For Your Child's Age 01:00:00 Gross Motor Skills 01:00:00 Fine Motor Skills 00:30:00 Cognitive Skills 00:30:00 Speech 00:30:00 Social Skills 01:00:00 Developmental Delays 00:30:00 Wrapping Up 00:15:00 Reference Book ELEMENTS OF CHILD DEVELOPMENT 00:00:00 Mock Exam Mock Exam- Accredited Diploma in Child Development 00:20:00 Final Exam Final Exam- Accredited Diploma in Child Development 00:20:00

Level 4 QLS Endorsed Course | CPD & CiQ Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

In today's rapidly evolving industrial landscape, understanding Lean Manufacturing & Production principles is paramount for professionals seeking to thrive. This course offers a comprehensive dive into Lean methodologies, covering modules on Lean Principles, Value Stream Analysis, JIT Production, Manufacturing Techniques, Kaizen, and Supply Chain Management. With Lean Six Sigma Integration and a focus on service industries, participants gain versatile skills applicable across various sectors. In the UK, where the demand for Lean expertise is burgeoning, mastering these techniques opens doors to lucrative job opportunities. With an average annual salary of £45,000, the importance of acquiring Lean Production skills cannot be overstated. As the sector witnesses a 20% increase in demand for Lean specialists, learning these principles becomes indispensable for staying competitive. By honing Lean techniques, individuals not only enhance operational efficiency but also foster a culture of continuous improvement, positioning themselves as invaluable assets in the dynamic landscape of modern business. Key Features: CPD Certified Lean Manufacturing Course Free Certificate from Reed CIQ Approved Lean Manufacturing Course Developed by Specialist Lifetime Access Course Curriculum: Module 01: Introduction to Lean Principles Module 02: Value Stream Analysis Module 03: Just-In-Time (JIT) Production Module 04: Lean Manufacturing Techniques Module 05: Kaizen and Continuous Improvement Module 06: Lean Supply Chain Management Module 07: Lean Six Sigma Integration Module 08: Lean in Service Industries Learning Outcomes: Grasp foundational Lean principles for operational excellence. Analyse value streams to streamline production processes effectively. Implement Just-In-Time production strategies for optimal resource utilisation. Apply Lean techniques to enhance manufacturing efficiency. Foster a culture of continuous improvement through Kaizen methodologies. Demonstrate proficiency in Lean integration across diverse industries. CPD 10 CPD hours / points Accredited by CPD Quality Standards Lean Manufacturing & Production 2:31:00 1: Module 01: Introduction to Lean Principles Preview 16:21 2: Module 02: Value Stream Analysis 20:14 3: Module 03: Just-In-Time (JIT) Production 17:29 4: Module 04: Lean Manufacturing Techniques 17:55 5: Module 05: Kaizen and Continuous Improvement 18:43 6: Module 06: Lean Supply Chain Management 19:28 7: Module 07: Lean Six Sigma Integration 20:15 8: Module 08: Lean in Service Industries 19:35 9: CPD Certificate - Free 01:00 Who is this course for? This Lean Manufacturing & Production course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Lean Manufacturing & Production. Moreover, this course is ideal for: Aspiring managers seeking to enhance operational efficiency. Professionals aiming for career advancement in manufacturing. Supply chain enthusiasts eager to streamline processes. Service industry personnel desiring efficiency enhancement. Requirements There are no requirements needed to enrol into this Lean Manufacturing & Production course. We welcome individuals from all backgrounds and levels of experience to enrol into this Lean Manufacturing & Production course. Career path After finishing this Lean Manufacturing & Production course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Lean Manufacturing are: Lean Production Manager - £35K to £55K/year. Supply Chain Analyst - £25K to £45K/year. Manufacturing Engineer - £30K to £50K/year Operations Manager - £40K to £70K/year Process Improvement Specialist - £30K to £50K/year Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

As AML- Anti Money Laundering compliance is a legal requirement for businesses in the UK, the demand for AML consultants and experts is at its peak and is expected to rise even further. Accordingly, if you want to secure yourself in an in-demand and rewarding career path, then this AML - Anti Money Laundering Training could be the perfect choice for you! Our AML- Anti Money Laundering bundle starts with the basics of AML and gradually progresses towards advanced topics. Therefore, each lesson of this AML is intuitive and easy to understand. Why would you choose the AML - Anti Money Laundering course: Lifetime access to AML - Anti Money Laundering course materials Full tutor support is available from Monday to Friday with the AML - Anti Money Laundering course Learn AML - Anti Money Laundering skills at your own pace from the comfort of your home Gain a complete understanding of AML - Anti Money Laundering course Diploma in Anti-Money Laundering (AML) at QLS Level 5 Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Officer Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training Certificate of Achievement 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 Free 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), a UK-based organisation that sets standards for non-regulated training and learning, has endorsed this course for its high-quality, non-regulated provision and training programmes. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for: AML Analyst AML Officer AML Manager Process Trainer AML Training Assistant Requirements To enrol in this AML - Anti Money Laundering course, all you need is a basic understanding of the English Language and an internet connection. Career path The AML - Anti Money Laundering course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to AML - Anti Money Laundering. Anti-Money Laundering Analyst Portfolio Operations Specialist Quality Control Analyst Fraud Monitoring Associate Investigations Specialist Compliance Investigator Financial Reporting Analyst Certificates CDP Accerdited PDF Certificate Digital certificate - Included CDP Accerdited Hardcopy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each QLS Endorsed Hard Copy Certificate Hard copy certificate - £109

Master the art of hybrid team management with our comprehensive course. Learn effective techniques for transitioning, team building, and driving high performance in a hybrid work environment. Elevate your leadership skills and optimize your team’s effectiveness in today’s dynamic work landscape.

Master the art of hybrid team management with our comprehensive course. Learn effective techniques for transitioning, team building, and driving high performance in a hybrid work environment. Elevate your leadership skills and optimize your team’s effectiveness in today’s dynamic work landscape.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Dynamic Stakeholder Engagement Stakeholder engagement is one of the most important success criteria of any project or change initiative, yet it is often subsidiary to other processes or Participantd downward to managers and staff. Worse yet, it can be set up as a step-by-step, mechanical or uni-directional push communication process. Engaging stakeholders is a planned and highly adaptive organic process that seeks to touch each individual impacted by the change. Successful stakeholder engagement guides individuals to find and communicate their own motivation, embrace the change, and carry it forward. It is that dynamic that causes the change to happen and progress. 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.

Learning From Agile Transformation Journey In this talk, Evelyn will be sharing her experience and insights gained from her decade of experience supporting organizations to transform. Through Ericsson Global Transformation Support Centre, she grew internal coaching capabilities and helped organizations of different sizes to transform. She developed deep insights on agile transformation strategy, agile leadership and transformation tactics at different levels, through her hands-on coaching experience working with different technology, architecture, structure and culture.Some highlights of her talk include: agile transformation patterns, transformation strategy, internal organic transformation, importance of agile leadership and product ownership, and some other learnings that will surely lead to some concrete takeaway messages for you to advance you and your Agile transformation to the next level. 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.

Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning for Predictive Maps in Python and Leaflet comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00