42813 Learning courses in Bradford delivered Online

Overview This comprehensive course on Statistics & Probability for Data Science & Machine Learning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics & Probability for Data Science & Machine Learning 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 Statistics & Probability for Data Science & Machine Learning. It is available to all students, of all academic backgrounds. Requirements Our Statistics & Probability for Data Science & Machine Learning 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 10 sections • 89 lectures • 11:27:00 total length •Welcome!: 00:02:00 •What will you learn in this course?: 00:06:00 •How can you get the most out of it?: 00:06:00 •Intro: 00:03:00 •Mean: 00:06:00 •Median: 00:05:00 •Mode: 00:04:00 •Mean or Median?: 00:08:00 •Skewness: 00:08:00 •Practice: Skewness: 00:01:00 •Solution: Skewness: 00:03:00 •Range & IQR: 00:10:00 •Sample vs. Population: 00:05:00 •Variance & Standard deviation: 00:11:00 •Impact of Scaling & Shifting: 00:19:00 •Statistical moments: 00:06:00 •What is a distribution?: 00:10:00 •Normal distribution: 00:09:00 •Z-Scores: 00:13:00 •Practice: Normal distribution: 00:04:00 •Solution: Normal distribution: 00:07:00 •Intro: 00:01:00 •Probability Basics: 00:10:00 •Calculating simple Probabilities: 00:05:00 •Practice: Simple Probabilities: 00:01:00 •Quick solution: Simple Probabilities: 00:01:00 •Detailed solution: Simple Probabilities: 00:06:00 •Rule of addition: 00:13:00 •Practice: Rule of addition: 00:02:00 •Quick solution: Rule of addition: 00:01:00 •Detailed solution: Rule of addition: 00:07:00 •Rule of multiplication: 00:11:00 •Practice: Rule of multiplication: 00:01:00 •Solution: Rule of multiplication: 00:03:00 •Bayes Theorem: 00:10:00 •Bayes Theorem - Practical example: 00:07:00 •Expected value: 00:11:00 •Practice: Expected value: 00:01:00 •Solution: Expected value: 00:03:00 •Law of Large Numbers: 00:08:00 •Central Limit Theorem - Theory: 00:10:00 •Central Limit Theorem - Intuition: 00:08:00 •Central Limit Theorem - Challenge: 00:11:00 •Central Limit Theorem - Exercise: 00:02:00 •Central Limit Theorem - Solution: 00:14:00 •Binomial distribution: 00:16:00 •Poisson distribution: 00:17:00 •Real life problems: 00:15:00 •Intro: 00:01:00 •What is a hypothesis?: 00:19:00 •Significance level and p-value: 00:06:00 •Type I and Type II errors: 00:05:00 •Confidence intervals and margin of error: 00:15:00 •Excursion: Calculating sample size & power: 00:11:00 •Performing the hypothesis test: 00:20:00 •Practice: Hypothesis test: 00:01:00 •Solution: Hypothesis test: 00:06:00 •T-test and t-distribution: 00:13:00 •Proportion testing: 00:10:00 •Important p-z pairs: 00:08:00 •Intro: 00:02:00 •Linear Regression: 00:11:00 •Correlation coefficient: 00:10:00 •Practice: Correlation: 00:02:00 •Solution: Correlation: 00:08:00 •Practice: Linear Regression: 00:01:00 •Solution: Linear Regression: 00:07:00 •Residual, MSE & MAE: 00:08:00 •Practice: MSE & MAE: 00:01:00 •Solution: MSE & MAE: 00:03:00 •Coefficient of determination: 00:12:00 •Root Mean Square Error: 00:06:00 •Practice: RMSE: 00:01:00 •Solution: RMSE: 00:02:00 •Multiple Linear Regression: 00:16:00 •Overfitting: 00:05:00 •Polynomial Regression: 00:13:00 •Logistic Regression: 00:09:00 •Decision Trees: 00:21:00 •Regression Trees: 00:14:00 •Random Forests: 00:13:00 •Dealing with missing data: 00:10:00 •ANOVA - Basics & Assumptions: 00:06:00 •One-way ANOVA: 00:12:00 •F-Distribution: 00:10:00 •Two-way ANOVA - Sum of Squares: 00:16:00 •Two-way ANOVA - F-ratio & conclusions: 00:11:00 •Wrap up: 00:01:00 •Assignment - Statistics & Probability for Data Science & Machine Learning: 00:00:00

Junos Service Provider Switching training course description This course provides students with an overview of switching concepts such as LANs, Layer 2 address learning, bridging, virtual LANs (VLANs), provider bridging, VLAN translation, spanning-tree protocols, and Ethernet Operation, Administration, and Maintenance (OAM). This course also covers Junos operating system-specific implementations. Junos Service Provider Switching is an intermediatelevel course. What will you learn Describe carrier Ethernet. Describe the function of an Ethernet LAN. Implement VLAN tagging. Describe the components of provider bridging. Identify and use available tools to resolve network issues. Configure and monitor Ethernet OAM, ERP, LAG, STP, the RSTP, the MSTP, and the VSTP. Junos Service Provider Switching training course details Who will benefit: Individuals responsible for configuring and monitoring devices running the Junos OS. Prerequisites: Junos Intermediate Routing Duration 2 days Junos Service Provider Switching training course contents Ethernet Switching and Virtual LANs Ethernet LANs Bridging Configuring and Monitoring VLANs Automating VLAN Administration Configuring and Monitoring IRB Layer 2 Address Learning and Forwarding Layer 2 Firewall Filtering Ethernet Switching and VLANs Lab Virtual Switches Routing Instances Overview Configuring and Monitoring Virtual Switches Interconnecting Routing Instances Logical Systems Virtual Switches Lab Provider Bridging Expanding the Bridged Network Provider Bridging Configuring and Monitoring Provider Bridging Provider Bridging Lab Spanning-Tree Protocols Overview of STP Overview of RSTP Overview of MSTP Overview of VSTP Configuring and Monitoring Spanning-Tree Protocols Understanding BPDU, Loop, and Root Protection MSTP Lab Ethernet OAM OAM Overview LFM CFM Configuring and Monitoring Ethernet OAM Ethernet OAM Lab High Availability and Network Optimization ERP Overview Configuring and Monitoring ERP Link Aggregation Group Overview Configuring and Monitoring a LAG MC-LAG Overview Configuring and Monitoring an MC-LAG High Availability and Network Optimization Lab Troubleshooting and Monitoring Introduction to Troubleshooting and Monitoring Troubleshooting and Monitoring Tools Troubleshooting Case Study: Network Congestion Troubleshooting and Monitoring Lab Appendix A: Carrier Ethernet Ethernet in the WAN Ethernet Standards Organizations MX Series Layer 2 Features Appendix B: Deprecated Syntaxes Appendix C: MX Series Overview

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 Attachment Development at Early Childhood 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 the professional training that employers are looking for in today's workplaces. The Attachment Development at Early Childhood Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Attachment Development at Early Childhood 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 Attachment Development at Early Childhood 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 Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Attachment Development at Early Childhood? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD-accredited qualifications after course completion Receive one-to-one assistance 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 Attachment Development at Early Childhood 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Attachment Development at Early Childhood 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 skills. Prerequisites This Attachment Development at Early Childhood does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Attachment Development at Early Childhood was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Attachment Development at Early Childhood is a great way for you to gain multiple skills from the comfort of your home. Attachment Development at Early Childhood Lesson 01: The History of Attachment Theory 00:15:00 Lesson 02: What is Attachment Parenting? 00:55:00 Lesson 03: Paying Attention to the Baby's Crying 00:41:00 Support Materials Resource - Attachment Development at Early Childhood

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!

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 Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science. 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next 00:01:00 R and RStudio Engine and Coding Environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A Quick Tour 00:04:00 Introduction to Basics Arithmetic With R 00:03:00 Variable Assignment 00:04:00 Basic data types in R 00:03:00 Vectors Creating a Vector 00:05:00 Naming a Vector 00:04:00 Arithmetic Calculations On Vectors 00:07:00 Vector selection 00:06:00 Selection By Comparison 00:04:00 Matrices What's a Matrix 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding Columns and Rows To a Matrix 00:06:00 Selection of Matrix Elements 00:03:00 Arithmetic with Matrices 00:07:00 Factors What is Factor 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Data Frames What's a Data Frame 00:03:00 Creating a Data Frame 00:04:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Lists Why Would You Need Lists 00:01:00 Creating Lists 00:03:00 Selecting Elements From a List 00:03:00 Adding more data to the list 00:02:00 Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Logical Operators AND, OR, NOT Operators 00:04:00 Logical Operators with Vectors and Matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators Together 00:06:00 Conditional Statements The IF Statement 00:04:00 IF…ELSE 00:03:00 The ELSEIF Statement 00:05:00 Full Exercise 00:03:00 Loops Write a While Loop 00:04:00 Looping With More Conditions 00:04:00 Break: Stop the While Loop 00:04:00 What's a For Loop 00:02:00 Loop Over a Vector 00:02:00 Loop Over a List 00:03:00 Loop Over a Matrix 00:03:00 For Loop With Conditionals 00:01:00 Using Next and Break With For Loop 00:03:00 Functions What is Function 00:02:00 Arguments Matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing Own Functions 00:03:00 Functions With No Arguments 00:02:00 Defining Default Arguments In Functions 00:04:00 Function Scoping 00:02:00 Control Flow in Functions 00:03:00 R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different Ways To Load a Package 00:02:00 The Apply Family - Lapply What Is Lapply and When Is Used. 00:04:00 Use Lapply With User-Defined Functions 00:03:00 Lapply and Anonymous Functions 00:01:00 Use lapply With Additional Arguments 00:04:00 The Apply Family - Sapply & Vapply What is Sapply 00:02:00 How to Use Sapply 00:02:00 Sapply With Your Own Function 00:02:00 Sapply With a Function Returning a Vector 00:02:00 When Can't sapply Simplify. 00:02:00 What is Vapply and Why is it Used. 00:04:00 Useful Functions Mathematical Functions 00:05:00 Data Utilities 00:08:00 Regular Expressions Grepl & Grep 00:04:00 Metacharacters 00:05:00 Sub & Gsub 00:02:00 More Metacharacters 00:04:00 Dates And Times Today and Now 00:02:00 Create and Format Dates 00:06:00 Create and Format Times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Getting and Cleaning Data Get and Set Current Directory 00:04:00 Get Data From the Web 00:04:00 Loading Flat Files 00:05:00 Loading Excel files 00:03:00 Plotting Data in R Base Plotting System 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Data Manipulation With dplyr Introduction to Dplyr Package 00:04:00 Using the Pipe Operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns Component: Mutate() 00:02:00 Columns Ccomponent: Relocate() 00:02:00 Rows Component: Filter() 00:01:00 Rows Component: Slice() 00:04:00 Rows Component: Arrange() 00:01:00 Rows Component: Rowwise() 00:02:00 Grouping of Rows: Summarise() 00:03:00 Grouping of Rows: Across() 00:02:00 COVID-19 Analysis Task 00:08:00 Supplementary Resources Supplementary Resources - Learning R Programming for Data Science 00:00:00 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

About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course covers carbon capture and geological storage of carbon dioxide. Burning fossil fuels for energy is a major source of carbon dioxide emissions to the atmosphere. Most anthropogenic (man-made) carbon dioxide is emitted by coal-fired or gas-fired power plants, and significant quantities of carbon dioxide are emitted through the production and separation of carbon dioxide-rich natural gas and industries such as cement, iron and steel. Carbon Capture Utilization and Storage, or CCUS, involves the long-term storage of captured carbon dioxide emissions in subsurface geologic formations. This VILT course covers all aspects of CCUS including transport, storage and monitoring, economics and community engagement. It explores in detail the challenges of the current technology of geological storage, monitoring and verification including examples from working projects around the world. Many of these technologies are commonly employed by the petroleum industry. Successful deployment of CCUS will also require economic incentives, appropriate regulation, clarity on liability issues and acceptance by the community. These aspects of CCUS, and the corresponding opportunities for appropriately skilled organisations and individuals also will be discussed. Course Content at a Glance Context for CCS/CCUS as An Emissions-reduction Measure Principles of Geological Storage Finding Geological Storage Sites Stationary Sources of Carbon Dioxide for Capture Carbon Dioxide Capture Technologies Compression and Transport of Carbon Dioxide Economics of CCS/CCUS Community, Safety, Legal & Regulatory Issues Risk Assessment Training Objectives Upon completion of this VILT course, participants will be able to: Identify the need for Carbon Capture and Storage (CCS) Outline the key steps in the Carbon Capture and Storage process Distinguish between reservoir rocks and sealing rocks Describe the importance of permeability and porosity to storing carbon dioxide Contrast the geological structures and trapping mechanisms for storing carbon dioxide Describe the changes in geologically stored carbon dioxide over time Outline the monitoring techniques employed to ensure the carbon dioxide is safely stored Appreciate the industrial applications of carbon dioxide capture Recognize the scale of industry required for transporting and storing carbon dioxide Describe economic considerations for CCS/CCUS Outline the economic and environmental opportunities and challenges with using carbon dioxide injection in a range of applications Explain the challenges of regulatory frameworks and public acceptance in a CCS/CCUS project Identify potential risks of a CCS/CCUS project Outline the risk assessment and management process Target Audience This VILT course is ideally suited for a technical audience - geoscientists, petroleum and chemical engineers - as well as for economists, regulators, legal staff and managers wishing to learn more about the details of both the technical, regulatory and socio-economic aspects of carbon capture and storage. Participants should have: Experience with oil and gas, coal or other energy projects Basic understanding of the energy industry Course Level Intermediate Trainer Your first expert course leader spent 18 years in the Petroleum Industry before joining academia, in both technical and managerial roles with Shell, Arco and Vico. He has received numerous awards, including Distinguished Service, Honorary member and Special Commendation awards from the American Association of Petroleum Geologist (AAPG) and was AAPG's International Vice-President and recently chairman of AAPG's House of Delegates (the Associations Parliamentary body). He is an SPE Distinguished Lecturer (DL) and has served as DL for several other professional organisations, including, AAPG, IPA and PESA. He is currently a Professor of Petroleum Geology and Engineering at the Australian School of Petroleum, University of Adelaide. He holds the South Australia State Chair in Carbon Capture & Storage (CCS) and is also presently Distinguished Scientist of the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), having served earlier as the Storage Program Manager and Chief Scientist. Your second expert course leader has a wide and deep knowledge of major capture technologies: solvent, membrane and adsorption based technologies and has developed pathways for retrofitting CO2 capture and storage (CCS) to fossil fuel-based power plants. He has been actively engaged in Post-combustion capture project management and demonstration projects in Victoria's Latrobe Valley on CO2 capture and hydrogen production, and on CO2 capture using membrane contactor technology. He has led various feasibility studies for the Asian Development Bank on CO2 Capture at Indian Oil Corporation's refineries, for JPOWER on hydrogen production from Victorian brown coal and for Kawasaki on incorporation of CCS in hydrogen production from fossil fuel. He has authored multiple peer reviewed journal articles, co-authored various confidential reports on CO2 capture, utilization and hydrogen production and utility, and has presented his work at various conferences, symposiums and seminars. He has a PhD in Chemical Engineering from Monash University Australia and a Master of Technology in Process Engineering from Indian Institute of Technology Delhi India.     POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Duration 1 Days 6 CPD hours This course is intended for This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks. Overview After completing this course, you will be able to: Provision an Azure Databricks workspace and cluster Use Azure Databricks to train a machine learning model Use MLflow to track experiments and manage machine learning models Integrate Azure Databricks with Azure Machine Learning Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this course, students will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Introduction to Azure Databricks Getting Started with Azure Databricks Working with Data in Azure Databricks Training and Evaluating Machine Learning Models Preparing Data for Machine Learning Training a Machine Learning Model Managing Experiments and Models Using MLflow to Track Experiments Managing Models Managing Experiments and Models Using MLflow to Track Experiments Managing Models Integrating Azure Databricks and Azure Machine Learning Tracking Experiments with Azure Machine Learning Deploying Models

The IT System Support Technician (Online Virtual Classroom) Course will equip candidates with the skills and knowledge to competently carry out routine customer support to a range of Computer users, communicate effectively with support managers, supporting colleagues and external clients.

Do you want to learn how to become an effective leader? Do you want to take your leadership to the next level? Do you want to get to share your unique talents with others? If yes, then this course is for you! Description: A great leader is the one who can lead and motivate others to achieve greater heights. Our diploma course explores the vital managements aspects, for example, individual effectiveness in senior roles, leading techniques development and usage, managing change in a different, challenging and quickly developing business environment, communicating successfully and exploring talents. This program has been designed for leaders and high potential managers to upgrade their capacity to deal with competence and lead for individual and organisational achievement. Who is this course for? For leaders and high potential managers to upgrade their capacity to deal with competence and lead for individual and organisational achievement. Entrepreneurs. Business owners. Anyone who wants to be a great leader. 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 hardcopy at the cost of £39 or in PDF format at the 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 recognised 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: The Leadership and People Management Diploma will be very beneficial and helpful especially to the following careers: Instructor. Leadership program developer. Manager. Businessmen. Leadership and People Management Diploma - Updated Version Leadership Module 01: Developing the Leader Within You 00:21:00 Module 02: Emotional Intelligence in Leadership 00:17:00 Module 03: Communication Skills 00:26:00 Module 04: Public Speaking 00:30:00 Module 05: Critical Thinking in Problem-Solving and Decision Making 00:23:00 Module 06: Motivation and Counselling 00:16:00 Module 07: Management and Leadership 00:26:00 People Management Module 01: Introduction to Leadership 00:30:00 Module 02: Inspiration and Leadership 00:30:00 Module 03: Setting Goals and Time Management 00:22:00 Module 04: Body Language and Effective Communication 00:30:00 Module 05: Self-Esteem and Assertiveness Skills 00:24:00 Module 06: Business Management and Corporate Behaviour 00:16:00 Module 07: Meeting Management 00:21:00 Module 08: Project Management 00:23:00 Module 09: Risk Management 00:19:00 Module 10: Team Work and Team Building 00:20:00 Module 11: Performance Management 00:17:00 Module 12: Critical Thinking: Implications for Leadership 00:20:00 Leadership and People Management Diploma - Old Version Leadership Basics The Leadership Gene of HR Management 01:00:00 Becoming a Great Leader 01:00:00 Emotional Intelligence in Leadership Management 01:00:00 Build Successful Teams & Relationships 01:00:00 Handle Hard Times & Conflicts Effectively 01:00:00 Managing People Introduction 00:30:00 The Opposite Side of the Coin 01:00:00 How to Lead and Influence People 01:00:00 Getting the Most from Your Team 01:00:00 Extraordinary Ways to Be a Better Leader 00:30:00 Conclusion 00:15:00 Management Management 00:30:00 Definition of Management 00:30:00 Characteristics of Management 00:30:00 Management Functions/Process of Management 00:30:00 Nature of Management 00:30:00 Levels of Management 00:30:00 Characteristics of Professional Managers 00:30:00 Principles of Management 00:30:00 Leadership and People Management Module One - Getting Started 00:30:00 Module Two - The Evolution of Leadership 01:00:00 Module Three - Situational Leadership 01:00:00 Module Four - A Personal Inventory 01:00:00 Module Five - Modeling the Way 01:00:00 Module Six - Inspiring a Shared Vision 01:00:00 Module Seven - Challenging the Process 01:00:00 Module Eight - Enabling Others to Act 01:00:00 Module Nine - Encouraging the Heart 01:00:00 Module Ten - Basic Influencing Skills 01:00:00 Module Eleven - Setting Goals 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities Leadership and People Management Diploma- Activities 00:00:00 Mock Exam Mock Exam- Leadership and People Management Diploma 00:20:00 Final Exam Final Exam- Leadership and People Management Diploma 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00