10744 Courses

Insightful leaders understand the importance of employee collaboration and a solid team ethos. Highly efficient and self-learning teams only achieve top performance when leaders and team members are aligned with regard to diversity, equity and inclusion. This is a highly interactive and tailored workshop with two tracks: Upper Management Track and Midde Management/Staff Track. Optimised for tailored audiences Built for groups of 20+ Led by experienced and certified professionals Specialised to address issues around inclusivity and equity in all industries Program Details For Upper Management Teams Module 1 – The Empowered Leader: 15 Characteristics Module 2 – Communication and Listening Skills Module 3 – Empowering and Respecting Employees Module 4 – (DEI) Principles for Full Cultural Inclusivity For Middle Management & Staff Teams Module 1 – Typical Struggles Module 2 – Support for Growth Module 3 – Get Inspired Module 4 – See What it Looks Like Investment Fee: £50,000 25 participants max per 12-week cohort TRAINING FORMAT : 16 - Week Cohorts Delivered in 1-hour sessions Virtually Facilitated Sessions Corporate DEI Program One Pager

This highly interactive workshop will give your management team the skills and the tools necessary to understand relationships and behavioral styles of employees, improve performance and efficiency, and adopt solutions and strategies to increase your competitive edge. Optimised for tailored audiences Built for groups of 20+ Led by experienced and certified professionals Specialised to address issues around inclusivity and equity in all industries Program Details Peak Performance Part I: Observation, Assessment and Determination The final objective of this workshop is a full understanding of how managers can assess their employees for optimal behavioral team communication and assignments. Peak Performance Part II: High Efficiency Teams The final objective of this workshop is a full understanding of how managers can create High Efficiency teams taking into accounts skills and behaviors. Peak Performance Part III: Self-Learning Teams The Final objective of this workshop is KPIs agreed upon and commonly shared by employees and managers to allow employees to self-manage their learning and measure their progress monitored by managers. Investment Fee: £50,000 25 participants max per 12-week cohort TRAINING FORMAT : 12 - Week Cohorts Delivered in 1-hour sessions Virtually Facilitated Sessions Corporate Peak Performance Program One Pager

This highly interactive, tailored program will give your HR team the skills and tools necessary to understand why employees leave and how to stop attrition from happening at your organization. Participants Will Learn : Adaptive Solutions for Employee Retention Leadership as a Tool for Retention Fiercely Competitive: How to Attract the Best Talent Out There with DEI Program Details Digitally delivered Optimised for tailored audiences Built for groups of 20+ Led by experienced and certified professionals Delivered in bite-sized, 1- hour sessions Specialised to address issues around inclusivity and equity in the industry Investment Fee: £50,000 25 participants max per 12-week cohort TRAINING FORMAT : 12 - Week Cohorts Delivered in 1-hour sessions Virtually Facilitated Sessions Contents Module 1 : Why Employees Leave Module 2 : Top 3 Reasons and Solutions Module 3 : Leadership and Communication Module 4 : Adaptive Solutions Module 5 : Modern Leadership Theories and Practices Module 6 : Situational Leadership and Behavioral Style Management Module 7 : Characteristics of Optimal Leaders Module 8 : DEI, the Gender Gap, and Cultural Diversity Module 9 : DEI and Gender Gap Resolution as Strategic Advantages Module 10 : Supervisor and Management Solutions Module 11 : Mental Health Support, Meaningful Work, ad Career Advancement Module 12 : Work Flexibility and Remote Work Integrations Netwomen HR & DEI Program One Pager UK

We hear how helpful it is to exercise regularly for health and wellbeing. But when you have fatigue it can be difficult to know if this is going to help or hinder. And suspecting it could be the latter, then when is it the right time to start to feel confident about moving more...and gradually starting to exercise? How this webinar will help you I've helped hundreds of people to navigate this element of their recovery journey and I've used this experience to share in this webinar the most successful ways to plan for, and introduce, movement and exercise.  Who is this webinar for? Anyone who thinks they might be nearing a stage where exercise could well be possible again and are keen to ensure it goes well! Whether the goal be to walk, swim, cycle etc.    Please note: This event isn't about how to re-condition and move from severe fatigue to achieving some level of activity. That requires careful 1:1 guidance via my coaching service. This webinar is for those who have a base level of activity but want to be smart about where to build from there.   My help is relevant to anyone tackling a fatigue recovery journey - whether that be due to ME/CFS, Long Covid etc, or perhaps post-operative recovery. Basically, anyone who has - or has had - an energy-related issue that's meant they have to be very careful about what they commit to doing each day.   What topics do you cover?   How to spot when you're doing well enough to start thinking about exercising again How to feel confident about starting to do more The types of exercise that seem to go well at first Guidance and tips about HOW to start incorporating exercising into your recovery plan This is a recording of a live webinar that I held a short time ago. After the main presentation we held a Q&A session, and by purchasing this recording you'll also have access to a written capture of the questions asked, and my responses. Contents The webinar recording In this 49 minute video, hear me give advice and tips on how to tackle these tricky communication situations: Communicating your situation to those you live with/are close to - in a way that goes well, and doesn't negatively impact your health/symptoms How to talk to people who are 'helpfully' trying to tell you how to cure yourself (when you know it's wrong!) Socialising with friends when you have fatigue Navigating conversations at large events (weddings, parties etc) How to talk to people who don't understand fatigue (or even believe in it) How to start exercising webinar.mp4 48 mins104 MB A copy of the slides I presented How to start exercising with fatigue.pdf 1.38 MB The Q&A digest This is a written capture of the Q&A discussion, held after my main presentation. I didn't record the Q&A in order to allow those who attended live to feel comfortable switching their cameras on and participating in the discussion. I hope you find this written summary helpful. How to start exercising when you have fatigue.pdf 147 KB

Duration 3 Days 18 CPD hours This course is intended for This intermediate course is for application programmers who need to write embedded SQL COBOL or PL/I programs in either a DB2 9 or DB2 10 for z/OS environment. Overview Incorporate static SQL statements in an application program Prepare the program for execution Validate execution results are correct Produce code to support multiple rows being returned from the database manager using cursors Identify considerations regarding units of work, concurrency, and restart of programs Identify differences between static and dynamic SQL Provide test data for applications Discuss program and DB2 options relative to performance of static SQL This course enables you to acquire the skills necessary to produce application programs that manipulate DB2 databases. Emphasis is on embedding Structured Query Language (SQL) statements and preparing programs for execution. CV720G;CF82G;DB2 Concepts Identify DB2 family products Explain DB2 workstation component functions Identify DB2 objects Identify the key differences between static SQL and other application alternatives for accessing DB2 data Program Structure I Embed INSERT, UPDATE, DELETE and single-row SELECT statements in application programs Effectively communicate with DB2 when processing NULL values and determining success of statement execution Demonstrate use of DB2 coding aids Code CONNECT statements within an application program Identify connection types and impacts on a unit of work Program for the Call Attach Facility (CAF) Program Preparation Identify the additional steps necessary to prepare a program that contains embedded SQL for execution Describe the functions of the DB2 PRECOMPILE and BIND processes Describe factors relevant to the BIND process, including RUNSTATS positioning, package status, parameters, and authorization requirements Program Structure II Use DECLARE, OPEN, FETCH, and CLOSE CURSOR statements to handle select criteria that may return multiple rows in application programs Issue positioned UPDATE and DELETE statements Identify how scrollable cursors can be used Recovery and Locking Concepts Define a unit of recovery Identify the basic locking strategies used by DB2 Dynamic SQL Introduction Describe the difference between static and dynamic SQL List the types of dynamic statements Code dynamic SQL in a program Managing Test Data Identify methods to insert data into a table Use the LOAD or IMPORT utility Identify the purpose of the RUNSTATS utility Identify the purpose of the REORG utility Performance Considerations Use programming techniques that enhance DB2 application performance by following general guidelines, using indexable predicates, and avoiding unnecessary sorts Identify the access paths available to DB2 List common causes of deadlocks and avoid such causes when possible Use the EXPLAIN tools as aids to develop applications that emphasize performance Additional course details: Nexus Humans CV722 IBM DB2 11 for z/OS Application Programming Workshop 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 CV722 IBM DB2 11 for z/OS Application Programming Workshop 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.

Overview By enroling in Data Science & Machine Learning with Python, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic. The Data Science & Machine Learning with Python course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Data Science & Machine Learning with Python course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Data Science & Machine Learning with Python Program. So enrol in our Data Science & Machine Learning with Python course right away if you're keen to envision yourself in a rewarding career. Description Enroling in this Data Science & Machine Learning with Python course can improve your Data Science & Machine Learning with Python perspective, regardless of your skill levels in the Data Science & Machine Learning with Python topics you want to master. If you're already a Data Science & Machine Learning with Python expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Data Science & Machine Learning with Python insights that will help you make the most of your time. This Data Science & Machine Learning with Python course will act as a guide for you if you've ever wished to excel at Data Science & Machine Learning with Python. Why Choose Us? This course is accredited by the CPD Quality Standards. Lifetime access to the whole collection of the learning materials. Online test with immediate results. Enroling in the course has no additional cost. You can study and complete the course at your own pace. Study for the course using any internet-connected device, such as a computer, tablet, or mobile device. Will I Receive A Certificate Of Completion? Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99. Who Is This Course For? This Data Science & Machine Learning with Python course is a great place to start if you're looking to start a new career in Data Science & Machine Learning with Python field. This training is for anyone interested in gaining in-demand Data Science & Machine Learning with Python proficiency to help launch a career or their business aptitude.  Requirements The Data Science & Machine Learning with Python course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Data Science & Machine Learning with Python, without any fuss. Career Path This Data Science & Machine Learning with Python training will assist you develop your Data Science & Machine Learning with Python ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a Data Science & Machine Learning with Python professional story and personalise your path to a new career. Furthermore, developing this Data Science & Machine Learning with Python skillset can lead to numerous opportunities for high-paying jobs in a variety of fields. Order Your Certificate To order CPD Quality Standard Certificate, we kindly invite you to visit the following link: Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Order Your Certificate Order Your Certificate 00:00:00

At the end of the 5 days, Learners will attain an RQF Award in the requirements of FD&FA systems for non-domestic buildings BS 5839-1: 2017.

Businesses that don't control their costs don't stay in business. How well are you doing? Is everyone in your organisation sufficiently aware of costs, managing them effectively and maximising opportunities to reduce them? If there is scope for improvement, this course will help get you back on track. It will demonstrate that cost reduction is so much more than cost control and cost cutting. True cost management is about being aware of costs, seeking to reduce them through good design and efficient operating practices whilst taking continuing action on overspending. This course will develop the participants' skills in: Being aware of costs at all times Seeking cost reduction from the start (including life-cycle costing) Appraising projects / production to identify and take out risk Understanding real budgeting Using techniques such as ZBB and ABC where appropriate Ensuring cost reports lead to action Managing a cost reduction process that delivers Benefits to the organisation will include: Identification of cost reduction and business improvement opportunities Better reporting and ownership of costs Greater awareness and control of everyday costs 1 Introduction - the cost management process The risks of poor cost control Capital and revenue costs The importance of cost awareness The importance of cost reduction Cost management - the key aspects How to build a cost management and control process checklist for your areas of responsibility 2 Cost removal - taking out costs Cost awareness Costs of poor design / poor processes Value engineering Removing redundant costs 3 The need for commercial, technical and financial appraisals Understand the problems before cash is committed and costs incurred Making the effort to identify commercial and technical risk The time value of money - DCF techniques for long term projects Cost models for production processes and projects Costing models - project appraisals The use of spreadsheets to identify sensitivity and risk How to focus on risk management 4 Budgeting - proper budgeting challenges costs The philosophy of the business - are costs an issue? The importance of having the right culture The need for detailed business objectives Budgetary control measures Designing budget reports - for action 5 Zero-based budgeting (ZBB) - the principles Much more than starting with a clean sheet of paper What ZBB can achieve The concept of decision packages - to challenge business methods and costs Only necessary costs should be incurred A review of an operating budget - demonstrating what ZBB challenges and the costs it may lead to being taken out 6 Awareness of overheads and other costs Definitions of cost - direct and indirect Dealing with overheads - what is meant by allocation, absorption or apportionment? The apparent and real problems with overheads Different ways of dealing with overheads Review of overhead allocation methods and accounting and reporting issues 7 Overheads and product costing Activity-based costing (ABC) - the principles Where and how the ABC approach may be helpful Know the 'true' cost of a product or a project Should you be in business? Will you stay in business? Identifying weaknesses in a traditional overhead allocation How ABC will help improve product or service costing Identifying which products and activities should be developed and which abandoned 8 Cost reduction culture The need for cost reports What measures can be used to identify over-spends as early as possible Cost control performance measures and ratios 9 Design of cost control reports Reports should lead to action and deliver Selecting cost control measures which can be acted upon Practice in designing action reports 10 Course summary - developing your own cost action plan Group and individual action plans will be prepared with a view to participants identifying their cost risks areas and the techniques which can be immediately applied to improve costing and reduce costs

This is a comprehensive course on the role emotions play in developing your ability to cope with stress and pressure. In this course, we will explore the role of emotions in management, how and why they contain vital bits of information that can help you manage stress more effectively. You will be able to identify what can help you and what can hinder you in your daily routines. An understanding of the moods, environments and situations that impact upon your performance, for better or worse, helps you to develop strategies to cope.

Explore offline-first app development with Angular, Ionic, PouchDB, and CouchDB. Sync data effortlessly, design for web and mobile, and deploy with ease for a seamless user experience. Learn data synchronization, advanced features such as RxJS and custom pipes, implement state machines with XState, and build scalable, multi-platform web apps.