11046 Courses

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and network administrators Network and security professionals who work with enterprise and data center networks Overview By the end of the course, you should be able to meet the following objectives: Use the native tools available in NSX-T Data Center to identify and troubleshoot the problems related to the NSX-T Data Center environment Use VMware vRealize Log Insight™ and VMware vRealize Network Insight™ to identify and troubleshoot the problems related to the NSX-T Data Center environment Explain the NSX-T Data Center infrastructure components and the communications between them Identify, analyze, and troubleshoot problems related to the management, control, and data planes in NSX-T Data Center Identify, analyze, and troubleshoot problems related to infrastructure preparation in NSX-T Data Center Identify, analyze, and troubleshoot problems related to logical switching and logical routing in NSX-T Data Center Identify, analyze, and troubleshoot network security problems related to the NSX-T Data Center Distributed and Gateway firewalls Identify, analyze, and troubleshoot problems related to VPN and the VMware NSX Advanced Load Balancer™ Identify the components and packet flows involved in the NSX-T Data Center datapath and troubleshoot related problems This five-day, hands-on training course provides the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware NSX-T? Data Center environment. In this course, you are introduced to workflows of various networking and security constructs along with several operational and troubleshooting tools that help you manage and troubleshoot your NSX-T Data Center environment.In addition, you are presented with various types of technical problems, which you will identify, analyze, and solve through a systematic process. Course Introduction Introduction and course logistics Course objectives NSX-T Data Center Operations and Tools Explain and validate the native troubleshooting tools (dashboards, Traceflow, live traffic analysis, port mirroring) for the NSX-T Data Center environment Configure syslog, IPFIX, and log collections for the NSX-T Data Center environment Integrate NSX-T Data Center with vRealize Log Insight and vRealize Network Insight Validate and review the API methods available to configure the NSX-T Data Center environment Troubleshooting the NSX Management Cluster Describe the NSX Management cluster architecture, components, and communication channels Identify the workflows involved in configuring the NSX Management cluster Validate and troubleshoot the NSX Management cluster formation Troubleshooting Infrastructure Preparation Describe the data plane architecture, components, and communication channels Explain and troubleshoot VMware ESXi? transport node preparation issues Explain and troubleshoot KVM transport node preparation issues Explain and troubleshoot VMware NSX© Edge? transport node preparation issue Troubleshooting Logical Switching Describe the architecture of logical switching List the modules and processes involved in configuring logical switching Explain the importance of N-VDS and VDS in transport nodes Describe the procedure to migrate from N-VDS to VDS Review the architecture and workflows involved in attaching workloads to segments Identify and troubleshoot common logical switching issues Troubleshooting Logical Routing Review the architecture of logical routing and NSX Edge nodes Explain the workflows involved in the configuration of Tier-0 and Tier-1 gateways Explain the high availability modes and validate logical router placements Identify and troubleshoot common logical routing issues using both BGP and OSPF Troubleshooting Security Review the architecture of the Distributed Firewall Explain the workflows involved in configuring the Distributed Firewall Review the architecture of the Gateway Firewall Explain the workflows involved in configuring the Gateway Firewall Identify and troubleshoot common distributed firewall and Gateway Firewall issues Troubleshooting the NSX Advanced Load Balancer and VPN Services Review the NSX Advanced Load Balancer architecture and components Identify and troubleshoot common NSX Advanced Load Balancer issues Review of IPsec and L2 VPN architecture and components Identify and troubleshoot common IPsec and L2 VPN issues Datapath Walkthrough Verify and validate the path of the packet on the NSX datapath (East-West and South-North) Identify and perform packet captures at various points in the datapath Use NSX CLI and native hypervisor commands to retrieve configurations involved in the NSX datapath

Equip educators with essential Autism Awareness Training for Teachers to foster an inclusive classroom environment. Enhance understanding, support, and communication strategies for effectively engaging with autistic students. Enroll now to promote a more inclusive and supportive educational experience for all learners.

QA Level 2 Award In Food Safety For Retail (RQF) Face to Face: Full day course Virtual Classroom: Spread over 3 sessions of 2½ hr duration Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely Recommended by HSE and Environmental Health Officers (EHO's) Course Contents: The Importance of Food Safety Food Safety Laws Legal Responsibilities of Food Handlers Types of Contamination and the Associated Risks Bacteriology Food Poisoning Foodborne Illnesses An Introduction to Hazard Analysis and Critical Control Points (HACCP) Personal Hygiene Work Flow, Work Surfaces and Equipment Cleaning and Disinfection Waste Disposal Pest Control Safe Food Handling Practices including Time and Temperature Controls Preparation Cooking and Reheating Chilling Cooling Thawing Hot holding Displaying food Core temperatures Food Preservation Storage Stock Control Procedures Benefits of this course: Businesses have a duty to their customers to produce food that is safe for consumption. There are one million cases of food poisoning in the UK each year. More than 6,000 are admitted to hospital. In 2014/2015, businesses in Chesterfield were issued 344 written enforcement notices. Derby received 1,116. Doing our Ofqual regulated, nationally accredited course ensures that nothing of importance is left out. EU and UK regulations state that all food handlers must receive appropriate training in food safety practices relevant to their duties. The Food Standards Agency says that 'Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely’. Our QA Level 2 Award in Food Safety in Catering (RQF) is a nationally accredited qualification especially suitable for people working in, or planning to work in, the food retail industry, and complies with the training regulations.

QA Level 2 Award In Food Safety For Manufacturing (RQF) Face to Face: Full day course Virtual Classroom: Spread over 3 sessions of 2½hr duration Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely Recommended by HSE and Environmental Health Officers (EHO's) Course Contents: The Importance of Food Safety Food Safety Laws Legal Responsibilities of Food Handlers Types of Contamination and the Associated Risks Bacteriology Food Poisoning Foodborne Illnesses An Introduction to Hazard Analysis and Critical Control Points (HACCP) Personal Hygiene Work Flow, Work Surfaces and Equipment Cleaning and Disinfection Waste Disposal Pest Control Safe Food Handling Practices including Time and Temperature Controls Preparation Cooking and Reheating Chilling Cooling Thawing Hot holding Displaying food Core temperatures Food Preservation Storage Stock Control Procedures Benefits of this course: Businesses have a duty to their customers to produce food that is safe for consumption. There are one million cases of food poisoning in the UK each year. More than 6,000 are admitted to hospital. In 2014/2015, businesses in Chesterfield were issued 344 written enforcement notices. Derby received 1,116. Doing our Ofqual regulated, nationally accredited course ensures that nothing of importance is left out. EU and UK regulations state that all food handlers must receive appropriate training in food safety practices relevant to their duties. The Food Standards Agency says that 'Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely’. Our QA Level 2 Award in Food Safety in Catering (RQF) is a nationally accredited qualification especially suitable for people working in, or planning to work in, the food retail industry, and complies with the training regulations. Accredited, Ofqual regulated qualification: Our Food Safety For Manufacturing training course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards. This means that you can be rest assured that your Food safety For Manufacturing certificate fulfils the legal requirements and is a very good way to make sure your employees are trained in Food Safety. The Ofqual Register number for this course is 603/2592/6

QA Level 2 Award In Food Safety In Catering (RQF) Face to Face: Full day course Virtual Classroom: Spread over 3 sessions of 2½ hr duration Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely Recommended by HSE and Environmental Health Officers (EHO's) Course Contents: The Importance of Food Safety Food Safety Laws Legal Responsibilities of Food Handlers Types of Contamination and the Associated Risks Bacteriology Food Poisoning Foodborne Illnesses An Introduction to Hazard Analysis and Critical Control Points (HACCP) Personal Hygiene Work Flow, Work Surfaces and Equipment Cleaning and Disinfection Waste Disposal Pest Control Safe Food Handling Practices including Time and Temperature Controls Preparation Cooking and Reheating Chilling Cooling Thawing Hot holding Displaying food Core temperatures Food Preservation Storage Stock Control Procedures Benefits of this course: Businesses have a duty to their customers to produce food that is safe for consumption. There are one million cases of food poisoning in the UK each year. More than 6,000 are admitted to hospital. In 2014/2015, businesses in Chesterfield were issued 344 written enforcement notices. Derby received 1,116. Doing our Ofqual regulated, nationally accredited course ensures that nothing of importance is left out. EU and UK regulations state that all food handlers must receive appropriate training in food safety practices relevant to their duties. The Food Standards Agency says that 'Food business operators are required by law, to ensure that food handlers receive appropriate supervision and instruction/training in food hygiene in line with their work activity and should enable them to handle food safely’. Our QA Level 2 Award in Food Safety in Catering (RQF) is a nationally accredited qualification especially suitable for people working in, or planning to work in, the food retail industry, and complies with the training regulations. Accredited, Ofqual regulated qualification Our Food Safety in Catering training course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards. This means that you can be rest assured that your Food safety in Catering certificate fulfils the legal requirements and is a very good way to make sure your employees are trained in Food Safety. The Ofqual Register number for this course is 603/2594/X

Time Management 1 Day Training in Dunfermline

Description: The reality is there's continually some little way you can enhance for yourself and other individuals. No matter how experienced you think you are, there will still be unending little things you can do to improve a move to make yourself improve. You have to find the indicators that will tell you that you are actually moving forward and that you have developed in every aspect of your life. In this course, you will be able to become empowered to develop yourself and putting yourself out there to improve to its maximum potential. You will be able to do self-development through visualization and affirmation in this course by picturing yourself in the scene that has helped many individuals throughout the years develop a positive personality. Through perception, one can go any place rationally and utilize the implementers by affirming what they need from life, to arrive. Utilizing the perception and affirmatives provided in this course, you can advance toward a positive future while building up your internal identity. Self-advancement begins in the womb and conveys forward over the span of one's life. All through this stage, one learns, while picking up information from encounters and occasions seen by the eye. Who is the course for? Professionals, Trainers, and Individuals who want to be expert in positive self-development. Anyone who wants to know to manage their life and self-development. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: Level 2 Certificate in Self Development will be useful and would be beneficial for every kind of occupations and careers like: Employees General Managers Management Directors Top Executives And Much More. Development of the Self Self Development through Visualization and Affirmation 01:00:00 Hints in Affirmation and Visualization 01:00:00 Development for Affirmation and Visualization 00:45:00 How to Build Critical Thinking Skills 01:00:00 Visualizing Problems with Affirmations 00:30:00 Development Evaluation in Affirmation and Visualization 00:30:00 Practice Development through Visualization and Affirmation 01:00:00 Self-Development Procedures through Visualization 01:00:00 Development thru Visualization of Problems in Affirmation 01:00:00 Process of Affirmation through Development Visualization 01:00:00 Sense of Development thru Affirmation and Visualization 01:00:00 Natural Development thru Affirmation and Visualization 01:00:00 Visualization through Development Affirmation 01:00:00 Choices in Development thru Affirmation and Visualization 01:00:00 Development thru Argument Affirmation and Visualization 01:00:00 Visualization in Development of Affirmation 01:00:00 Revolutionary Development thru Visualization and Affirmation 00:30:00 Focus for Development thru Visualization and Affirmation 01:00:00 Visualization Music thru Affirmation Development 01:30:00 Energy Development thru Visualization and Affirmation 01:00:00 Relax with Development thru Affirmative Visualization 01:00:00 New Age Development in Affirmative Visualization 01:00:00 Conclusion 00:15:00 Development of Self Esteem INTRODUCTION 01:00:00 LOW SELF-ESTEEM? Why It Occurs? 01:00:00 YOUR LACK OF SELF-ESTEEM 01:00:00 SELF ESTEEM - GETTING TO THE Root OF THE ISSUE 01:00:00 SELF-ESTEEM AND THE INNER VOICE 01:00:00 YOU GET WHAT YOU PROJECT 01:00:00 SELF-ESTEEM BUILDING EXERCISES 01:00:00 WHERE, WHEN AND HOW TO BUILD SELF-ESTEEM 01:00:00 CONCLUSION 00:30:00 Being Assertive Module One - Getting Started 01:00:00 Module Two - What Does Self-Confidence Mean To You 01:00:00 Module Three - Obstacles to Our Goals 01:00:00 Module Four - Communication Skills 01:00:00 Module Five - The Importance of Goal Setting 01:00:00 Module Six - Feeling the Part 01:00:00 Module Seven - Looking the Part 01:00:00 Module Eight - Sounding the Part 01:00:00 Module Nine - Powerful Presentations 00:30:00 Module Ten - Coping Techniques 01:00:00 Module Eleven - Dealing with Difficult Behavior 00:30:00 Module Twelve - Wrapping Up 00:15:00 Mock Exam Mock Exam- Level 2 Certificate in Self Development 00:20:00 Final Exam Final Exam- Level 2 Certificate in Self Development 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Mental Health First Aid (MHFA) England Training with Mindmaps Wellbeing Enhance workplace wellbeing and mental health awareness with MHFA England-certified training by Mindmaps Wellbeing. Our expert-led courses, delivered by Registered Mental Health Nurses and Healthcare Educators, equip you with the skills to recognize, support, and respond to mental health challenges. Whether online or in-person, our training ensures flexible learning options without compromising quality. Join us to gain certification as a Mental Health First Aider and access exclusive benefits like ongoing peer support, expert forums, and resources for self-care. Book now with Mindmaps Wellbeing and take the first step toward a healthier, more supportive environment for all.

Master the art of wildlife rescue and rehabilitation. This course covers safety, health, injuries, and effective interaction with animals.