Duration 1 Days 6 CPD hours Time management training most often begins with setting goals. These goals are recorded and may be broken down into a project, an action plan, or a simple task list. Activities are then rated based on urgency and importance, priorities assigned, and deadlines set. This process results in a plan with a task list or calendar of activities. Routine and recurring tasks are often given less focus to free time to work on tasks that contribute to important goals. This entire process is supported by a skill set that should include personal motivation, delegation skills, organization tools, and crisis management. 1 - Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives 2 - Setting SMART Goals The Three P?s The SMART Way Prioritizing Your Goals Visualization 3 - Prioritizing Your Time The 80/20 Rule The Urgent/Important Matrix Being Assertive 4 - Planning Wisely Creating Your Productivity Journal Maximizing the Power of Your Productivity Journal The Glass Jar: Rocks, Pebbles, Sand, and Water Chunk, Block, and Tackle Ready, Fire, Aim! 5 - Tackling Procrastination Why We Procrastinate Nine Ways to Overcome Procrastination Eat That Frog! 6 - Crisis Management When the Storm Hits Creating a Plan Executing the Plan Lessons Learned 7 - Organizing Your Workspace De-Clutter Managing Workflow Dealing with E-mail Using Calendars 8 - Delegating Made Easy When to Delegate To Whom Should You Delegate? How Should You Delegate? Keeping Control The Importance of Full Acceptance 9 - Setting a Ritual What is a Ritual? Ritualizing Sleep, Meals, and Exercise Example Rituals Using Rituals to Maximize Time 10 - Meeting Management Deciding if a Meeting is Necessary Using the PAT Approach Building the Agenda Keeping Things on Track Making Sure the Meeting Was Worthwhile 11 - Alternatives to Meetings Instant Messaging and Chat Rooms Teleconferencing E-mail Lists and Online Groups Collaboration Applications 12 - Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations Additional course details: Nexus Humans Time Management 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 Time Management 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 This comprehensive course on Lean Six Sigma: Toolkit will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Lean Six Sigma: Toolkit comes with accredited certification, 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 Lean Six Sigma: Toolkit. It is available to all students, of all academic backgrounds. Requirements Our Lean Six Sigma: Toolkit 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 6 sections • 47 lectures • 02:59:00 total length •Introduction: 00:05:00 •Lean Six Sigma: An introduction: 00:03:00 •DMAIC: 00:04:00 •The benefits of Lean Six Sigma & the toolkit: 00:02:00 •Scenario for this course: 00:02:00 •Introduction to cause and effect: 00:03:00 •Ishikawa Diagram: 00:05:00 •Ishikawa Diagram: Demonstration: 00:05:00 •5 Whys: 00:03:00 •5 Whys: Demonstration: 00:03:00 •Pareto Chart: 00:03:00 •Pareto Chart: Demonstration: 00:03:00 •C&E Matrix: 00:03:00 •C&E Matrix: Demonstration: 00:05:00 •Working with ideas introduction: 00:02:00 •Brainstorming: 00:06:00 •Brainstorming: Demonstration: 00:02:00 •Affinity Diagram: 00:04:00 •Affinity Diagram: Demonstration: 00:03:00 •Multivoting: 00:03:00 •Multivoting: Demonstration: 00:04:00 •Introduction to Process Maps: 00:03:00 •Swim lane: 00:04:00 •Swim lane: Demonstration: 00:07:00 •SIPOC: 00:03:00 •SIPOC: Demonstration: 00:04:00 •Value Stream Map: 00:05:00 •Value Stream Map: Demonstration: 00:07:00 •Time Value Map: 00:03:00 •Time Value Map: Demonstration: 00:03:00 •Value Add Chart: 00:04:00 •Value add chart: Demonstration: 00:02:00 •Spaghetti Diagram: 00:04:00 •Spaghetti Diagram: Demonstration: 00:05:00 •Introduction to the voice of the customer: 00:02:00 •Customer Segmentation: 00:04:00 •Types and sources of customer data: 00:05:00 •Interviews: 00:07:00 •Point of use observations: 00:06:00 •Focus groups: 00:05:00 •Surveys: 00:05:00 •Kano Analysis: 00:04:00 •Kano Analysis: Demonstration: 00:04:00 •Critical to Quality Tree: 00:04:00 •Critical to Quality Tree: Demonstration: 00:02:00 •Close out: 00:04:00 •Resource: 00:00:00
Dive deeper into the world of mathematics with our 'Advanced Mathematics' course. Explore complex concepts and problem-solving techniques that will challenge and expand your mathematical proficiency. Whether you're a student aiming for higher academic achievements or a professional seeking to strengthen your analytical skills, this course will equip you with the knowledge and tools to excel. Enroll now and unlock the next level of mathematical understanding and capability.
This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.
Duration 1 Days 6 CPD hours This course is intended for Stop looking for those important items, and start knowing where they are by getting organized. Developing good Organizational Skill is an investment that will provide benefits for years. To be successful means to be organized. These skills will filter through all aspects of your participants professional and personal lives. 1 - Getting Started Housekeeping Items The Parking Lot Workshop Objectives Action Plans and Evaluations 2 - Remove the Clutter Just Do it You Don't Have to Keep Everything Three Boxes: Keep, Donate, and Trash A Place for Everything and Everything in its Place Case Study Review Questions 3 - Prioritize Write it Down Urgent/Important Matrix Divide Tasks 80/20 Rule Case Study Review Questions 4 - Scheduling Your Time Have a Master Calendar Setting Deadlines Remove or Limit the Time Wasters Coping With Things Outside of Our Control Case Study Review Questions 5 - To Do Lists Use a Day Planner Finish What You Start Focus on the Important Do Quick Tasks Immediately Case Study Review Questions 6 - Paper and Paperless Storage Find a System that Works for You Make it Consistent Make it Time Sensitive Setting up Archives Case Study Review Questions 7 - Organization in Your Work Area Keeping Items Within Arm's Reach Only Have Current Projects on Your Desk Arranging Your Drawers Organize to Match Your Workflow Case Study Review Questions 8 - Tools to Fight Procrastination Eat That Frog! Remove Distractions Give Yourself a Reward Break Up large Tasks Case Study Review Questions 9 - Organizing your Inbox Setting up Delivery Rules Folder and Message Hierarchy Deal with Email Right Away Flag and Highlight Important Items Case Study Review Questions 10 - Avoid the Causes of Disorganization Keeping Everything Not Being Consistent Not Following a Schedule Bad Habits Case Study Review Questions 11 - Discipline is the Key to Staying Organized Stay Within Your Systems Learn to Say No Have Organization Be Part of Your Life Plan for Tomorrow, Today Case Study Review Questions 12 - Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans Additional course details: Nexus Humans Organizational Skills 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 Organizational Skills 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.
Successful account management requires time and investment to achieve high levels of customer satisfaction and develop new business opportunities. Ensuring you are equipped with the right tools to approach every customer interaction in a structured way will help you have productive relationships with your clients. Whether you're new to account management or experienced in business development and looking to expand your skillset, understanding how you can maximise customer relationships will be key to your success. We have developed this programme to be practical, fun and interactive. Participants will have the opportunity to learn and practice a number of key skills that will see successful results, and are encouraged to bring real life examples to the course so that learning can be translated to real world scenarios. This course will help participants: Learn how to plan growth and increase revenue from existing accounts Develop skills to build and develop essential relationships to increase value and visibility Learn how best to create loyalty and customer satisfaction Identify how to set account targets and development plan for building contacts and cross-selling Develop persuasion and influencing skills to better define needs and develop opportunities Learn how to add value at all stages; plus gaining competitive advantage Develop an up-selling, cross-selling strategy 1 Performance metrics for account management Introduction to the PROFIT account management model Using practical tools to measure account performance and success Planning your account strategy - red flags and green lights 2 Relationships for account management How to build and manage key relationships Producing a 'relationship matrix' Developing a coach or advocate 3 Setting objectives for your account Developing an upselling cross-selling strategy Setting jointly agreed goals, objectives and business plans Planning session 4 Feedback and Retention - building loyal and satisfied customers How to monitor and track your customer's satisfaction Building a personalised satisfaction matrix Customer service review meetings 5 Influence Getting your message and strategy across to C-level contacts Being able to better develop a business partnership within an accountes 6 Teamwork and time management Working with others to achieve your account goals Managing and working with a virtual team Managing your time and accounts effectively 7 Gaining commitment and closing the sale Knowing when to close for commitment How to ask for commitment professionally and effectively Key negotiation skills around the closing process - getting to 'yes' Checklist of closing and negotiation skills Practice session
Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is someone who works, or has ambition to work, in a leadership role in data center operations such as a data center facilities manager, data center operations manager, who has the responsibility to achieve and improve the high-availability and manageability of the data center operations. Overview After completion of the course the participant will be able to: Perform the needs analysis translating business requirements to data center services Set-up and manage the data center operations team Implement and monitor safety- and security practices Identify a suitable maintenance program for the data center facility and its equipment Select the appropriate policies and procedures required for data center operations Monitor the data center availability, capacity and capability Manage and implement basic data center projects Set-up and implement an environmental sustainability program Select an appropriate back-up site to support organizational resilience Identify and respond to risk in the data center Manage and support the document life cycle Create a basic budget proposal Select and manage vendors and measure their performance Manage data center assets Managing the facilities of today?s high-end and high-availability data centers is an extremely demanding and complex task which is often underestimated. There is often very little appreciation and understanding of the complexities of managing today's mission-critical data centers where downtime is not an option, especially since many of the data centers are operating at, or near, their design limits. Operations management at the facilities layer makes all the difference. Even a data center designed to the highest redundancy level as per the ANSI/TIA-942 standard could still experience many unscheduled downtime events due to poor planning, operations, maintenance and management processes. Service Level Management Service Level Management Needs analysis Capability assessment Service portfolio Service catalogue Service Level Agreements (SLAs) Availability measurement Data points in SLA Service reporting Complaint procedure Customer satisfaction measurement Service Improvement Process (SIP) SLA content The Data Center Organization Operational issues Organization chart Roles and responsibilities Skills matrix Contingency / backup roles Shift management Performance management Career development Training and assessment Job rotation Succession planning Disciplinary program Managing Safety & Statutory Requirements Safety policies and regulations Occupational Health and Safety (OH&S) Safety awareness training Permit to Work (PTW) Lock-out / Tag-out Personal Protective Equipment (PPE) Testing and tagging of equipment Emergency preparedness and response Reporting of safety issues Reviews / internal audit / external audit Managing Physical Security Security policies and procedures Security standards and guidelines Security staff Security awareness Security incident management Disciplinary program Reviews, internal and external audits Facilities Management Maintenance policies and procedures Various maintenance programs Outsourcing of maintenance activities Maintenance contract options Warranty Maintenance schedule Service situations Spart part management Contamination control Data Center Operations Policies and procedures for data center operations Service operations and the daily data center operations Monitoring / Reporting / Control Monitoring requirements Escalation procedures Reporting Trend analysis Reviews Project Management Project management Project organization Project manager Project phases Environment Sustainability The importance of sustainability Sustainability policies Environmental management Power efficiency indicators - Waste management - Water management ICT utilisation management Environmental performance measurements Renewable energy factor (REF) Organizational Resilience Business continuity Data center facility options Business Impact Analysis Type of facility Human resources Facility, equipment and consumables Governance, Risk and Compliance Management commitment Coordination, collaboration and integration Compliance Risk management Document management Financial management Vendor management Asset management Additional course details: Nexus Humans Certified Data Center Facilities Operations Manager (CDFOM) 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 Certified Data Center Facilities Operations Manager (CDFOM) 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.
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
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 Advanced Mathematics Training 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 Advanced Mathematics Training Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Advanced Mathematics Training 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 Advanced Mathematics Training Course, like every one of Skillwise'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 Advanced Mathematics Training ? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-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 Advanced Mathematics Training 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 Advanced Mathematics Training course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already work in relevant fields and want to polish their knowledge and skills. Prerequisites This Advanced Mathematics Training does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Advanced Mathematics Training 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 Advanced Mathematics Training is a great way for you to gain multiple skills from the comfort of your home. Introduction Introduction 00:01:00 Mathematical Logic Introduction to Mathematical Logic, What is Sentence,Statements and their Types 00:02:00 Intro to Logical Connectivity,Tautology,Contradiction,Contingency,Pattern 00:06:00 Quantitative and Quantified Statement and types and example 00:03:00 Dual : Replacing of Connections and Symbols 00:02:00 Negations of Compound Statement , Converse, Inverse , & Contrapositive 00:03:00 Algebra of Statements and Law 00:05:00 Real Life application of Logic to Switching Electric Circuit 00:05:00 Matrices Intro to Matrices , Multiplication and Addition using Matrix 00:06:00 Inverse of Matrix Uniqueness of Inverse,Elementary Transformation 00:08:00 Method of REDUCTION AND INVERSION with real life example how we can implement 00:17:00 Trigonometric Functions Introduction to Trigonometric Function 00:03:00 General Solutions And Theorem 00:10:00 Solution of Triangle : Polar Co-ordinates 00:21:00 Rules and Theorems of SIn Cosine and TAN 00:22:00 Inverse Trigonometric Function 00:25:00 Pair Of Straight Line Introduction & Combined Equations 00:07:00 Degrees and Types 00:12:00 Some Theorem 00:17:00 Lines & Planes Introduction - vector cartesian theorem 00:02:00 Cartesian Equation & 2 Point Theorem 00:03:00 Theorems & Problem Solving 00:05:00 Distance of Point Line 00:05:00 Skew Lines 00:01:00 Distance of skew lines 00:03:00 Distance between parallel lines 00:02:00 Equation of Plane and Cartesian Form 00:10:00 Linear Programming Linear Programming Introduction 00:08:00 Introduction to LPP (Linear Programming Problem) 00:05:00 LPP PROBLEM SOLVING 00:07:00 Order Your Certificate Order Your Certificate QLS