264 Matrix courses

Power BI is a powerful data visualisation program that allows businesses to monitor data, analyse trends, and make decisions. This course is designed to provide a solid understanding of the reporting side of Power BI, the dashboards, where administrators, and end users can interact with dynamic visuals that communicates information. This course focuses entirely on the creation and design of visualisations in dashboards, including a range of chart types, engaging maps, and different types of tables. Designing dashboards with KPI's (key performance indicators), heatmaps, flowcharts, sparklines, and compare multiple variables with trendlines. This one-day programme focuses entirely on creating dashboards, by using the many visualisation tools available in Power BI. You will learn to build dynamic, user-friendly interfaces in both Power BI Desktop and Power BI Service. 1 Introduction Power BI ecosystem Things to keep in mind Selecting dashboard colours Importing visuals into Power BI Data sources for your analysis Joining tables in Power BI 2 Working with data Utilising a report theme Table visuals Matrix visuals Drilling into hierarchies Applying static filters Group numbers with lists Group numbers with bins 3 Creating visuals Heatmaps in Power BI Visualising time-intelligence trends Ranking categorical totals Comparing proportions View trends with sparklines 4 Comparing variables Insert key performance indicators (KPI) Visualising trendlines as KPI Forecasting with trendlines Visualising flows with Sankey diagrams Creating a scatter plot 5 Mapping options Map visuals Using a filled map Mapping with latitude and longitude Mapping with ArcGIS or ESRI 6 Creating dashboards High-level dashboard Migration analysis dashboard Adding slicers for filtering Promote interaction with nudge prompts Searching the dashboard with a slicer Creating dynamic labels Highlighting key points on the dashboard Customised visualisation tooltips Syncing slicers across pages 7 Sharing dashboards Setting up and formatting phone views Exporting data Creating PDF files Uploading to the cloud Share dashboards in SharePoint online

ISO 31000:2018 is an international standard of Risk Management, the existence of it requires competent personnel to interpret its guidelines, address those to integrate Risk Management in an organization’s operations and audit organization to assess the implementation and effectiveness of overall implementation. This course is designed for professionals who are responsible of any aspect of Risk Management as well as for those, specifically, who are pursuing their career in the field of auditing Risk Management. This course enhances the knowledge and skills of delegates to understand the standard and audit it effectively. Course is consisting of study material in form of written details. Attendees of this course will be, on completion, competent to implement Risk Management, Plan, Conduct & Report 1st, 2nd & 3rd party audits. This course also discusses about different risk assessment techniques such as Brainstorming Structured or semi-structured interviews Delphi technique Check-lists Preliminary hazard analysis (PHA) HAZOP Hazard analysis and critical control points (HACCP) Toxicity assessment Structured “What-if” Technique (SWIFT) Scenario analysis Business impact analysis (BIA) Root cause analysis (RCA) Failure modes and effects analysis (FMEA) and failure modes and effects and criticality analysis (FMECA) Fault tree analysis (FTA) Event tree analysis (ETA) Cause-consequence analysis Cause-and-effect analysis Layers of protection analysis (LOPA) Decision tree analysis Human reliability assessment (HRA) Bow tie analysis Reliability centred maintenance Sneak analysis (SA)and sneak circuit analysis (SCI) Markov analysis Monte Carlo simulation Bayesian statistics and Bayes Nets FN curves Risk indices Consequence/ probability matrix Cost/benefit analysis (CBA) Multi-criteria decision analysis (MCDA)   Features of Couse ✔ 100% Online Self-paced: Considering the busy lives, we have designed this course to be attended online without bounding with the schedules. To make it interactive, we have created different communication groups where candidate can discuss the points with other fellows as well as the trainers of course. ✔ Testing the Learning: Each section of course is covered with exercise to check your knowledge in real-time, and overall result is affected by exercises you complete. ✔ Self-Scheduling: This 40 Hours full fledge course is designed to match you schedule. You will get a life time access to this course and complete it on your ease. ✔ Superlative Material: The training is designed, developed and reviewed by competent auditors having an extensive experience of auditing in different regions of world. ✔ Approved Course: The course is approved by one of the well-known personal certifying body “IRCP”.   Who should attend this? This course is recommended to be attended by those who are involved in implementation and/ or auditing of Risk Management System, specifically Risk Managers, Auditors and others willing to add credibility with a widely accepted qualification for auditing. Also, recommended to satisfy the applicable requirement of training and competence, if any. This course can add values to your profile if you are Intending to perform audits of RM. A Risk Management Executive/ Management Representative An Existing Internal Auditor A Ris Management Consultant Responsible for implementing the ISO 31000 standard. Responsibility to evaluate the outcome of internal RM audits and have responsibility/ authority to improve the effectiveness of the RM. Pursuing to make career in RM auditing.   Course Duration: 40 Learning Hours and extended time of exercise & Exam.   Certificate: Those who pass all exercises with 50% at least in each exercise and 70% overall marks will be awarded with successfully completion certificate with approval of Exemplar Global and a Lifetime validity.   Language of Course: English   Pre-Requisites: Knowledge of Risk Management

This course is intended for beginner-level individuals who are fascinated about quantum computing and want to learn more about it. It uses Jupyter notebook and IBM Qiskit tool to execute your learning into the actual computation.

Discrete Maths Teaching is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Discrete Maths Teaching and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 19 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Sets Introduction to Sets 00:01:00 Definition of Set 00:09:00 Number Sets 00:10:00 Set Equality 00:09:00 Set-Builder Notation 00:10:00 Types of Sets 00:12:00 Subsets 00:10:00 Power Set 00:05:00 Ordered Pairs 00:05:00 Cartesian Products 00:14:00 Cartesian Plane 00:04:00 Venn Diagrams 00:03:00 Set Operations (Union, Intersection) 00:15:00 Properties of Union and Intersection 00:10:00 Set Operations (Difference, Complement) 00:12:00 Properties of Difference and Complement 00:07:00 De Morgan's Law 00:08:00 Partition of Sets 00:16:00 Logic Introduction 00:01:00 Statements 00:07:00 Compound Statements 00:13:00 Truth Tables 00:09:00 Examples 00:13:00 Logical Equivalences 00:07:00 Tautologies and Contradictions 00:06:00 De Morgan's Laws in Logic 00:12:00 Logical Equivalence Laws 00:03:00 Conditional Statements 00:13:00 Negation of Conditional Statements 00:10:00 Converse and Inverse 00:07:00 Biconditional Statements 00:09:00 Examples 00:12:00 Digital Logic Circuits 00:13:00 Black Boxes and Gates 00:15:00 Boolean Expressions 00:06:00 Truth Tables and Circuits 00:09:00 Equivalent Circuits 00:07:00 NAND and NOR Gates 00:07:00 Quantified Statements - ALL 00:08:00 Quantified Statements - THERE EXISTS 00:07:00 Negations of Quantified Statements 00:08:00 Number Theory Introduction 00:01:00 Parity 00:13:00 Divisibility 00:11:00 Prime Numbers 00:08:00 Prime Factorisation 00:09:00 GCD & LCM 00:17:00 Proof Intro 00:06:00 Terminologies 00:08:00 Direct Proofs 00:09:00 Proofs by Contrapositive 00:11:00 Proofs by Contradiction 00:17:00 Exhaustion Proofs 00:14:00 Existence & Uniqueness Proofs 00:16:00 Proofs by Induction 00:12:00 Examples 00:19:00 Functions Intro 00:01:00 Functions 00:15:00 Evaluating a Function 00:13:00 Domains 00:16:00 Range 00:05:00 Graphs 00:16:00 Graphing Calculator 00:06:00 Extracting Info from a Graph 00:12:00 Domain & Range from a Graph 00:08:00 Function Composition 00:10:00 Function Combination 00:09:00 Even and Odd Functions 00:08:00 One to One (Injective) Functions 00:09:00 Onto (Surjective) Functions 00:07:00 Inverse Functions 00:10:00 Long Division 00:16:00 Relations Intro 00:01:00 The Language of Relations 00:10:00 Relations on Sets 00:13:00 The Inverse of a Relation 00:06:00 Reflexivity, Symmetry and Transitivity 00:13:00 Examples 00:08:00 Properties of Equality & Less Than 00:08:00 Equivalence Relation 00:07:00 Equivalence Class 00:07:00 Graph Theory Intro 00:01:00 Graphs 00:11:00 Subgraphs 00:09:00 Degree 00:10:00 Sum of Degrees of Vertices Theorem 00:23:00 Adjacency and Incidence 00:09:00 Adjacency Matrix 00:16:00 Incidence Matrix 00:08:00 Isomorphism 00:08:00 Walks, Trails, Paths, and Circuits 00:13:00 Examples 00:10:00 Eccentricity, Diameter, and Radius 00:07:00 Connectedness 00:20:00 Euler Trails and Circuits 00:18:00 Fleury's Algorithm 00:10:00 Hamiltonian Paths and Circuits 00:06:00 Ore's Theorem 00:14:00 The Shortest Path Problem 00:13:00 Statistics Intro 00:01:00 Terminologies 00:03:00 Mean 00:04:00 Median 00:03:00 Mode 00:03:00 Range 00:08:00 Outlier 00:04:00 Variance 00:09:00 Standard Deviation 00:04:00 Combinatorics Intro 00:03:00 Factorials 00:08:00 The Fundamental Counting Principle 00:13:00 Permutations 00:13:00 Combinations 00:12:00 Pigeonhole Principle 00:06:00 Pascal's Triangle 00:08:00 Sequence and Series Intro 00:01:00 Sequence 00:07:00 Arithmetic Sequences 00:12:00 Geometric Sequences 00:09:00 Partial Sums of Arithmetic Sequences 00:12:00 Partial Sums of Geometric Sequences 00:07:00 Series 00:13:00

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

Duration 1 Days 6 CPD hours This course is intended for Employees not working in a centralized office. Overview The Telework and Telecommuting workshop will cover strategies to help participants learn skills required for working outside the office that include proper self-management, manage time efficiently, know different methods of organization and planning, identify various forms of communication and address and resolve challenges that teleworkers can face. The Telework and Telecommuting workshop will cover strategies to help participants learn skills required for working outside the office that include proper self-management, manage time efficiently, know different methods of organization and planning, identify various forms of communication and address and resolve challenges that teleworkers can face. Getting Started Workshop Objectives Pre-Assignment Core Skills Required Self-Management Time Management Organizing and Planning Communication Self-Management (I) Solving Problems on Your Own Being and Staying Motivated You Have More Freedom ? Don?t Abuse It You and Only You are Accountable Self-Management (II) Recognize and Remove Bad Habits Reflect on Mistakes and Learn from Them Establish Good Habits Be Assertive with Yourself Time Management (I) Build a Little Flexibility into Your Schedule Identify and Remove Time Wasters Working with Time Zones Using Free Time Wisely Time Management (II) The Urgent/Important Matrix Setting and Sticking to Deadlines The Glass Jar: Rocks, Pebbles, Sand and Water Recognize When You Are Procrastinating Organizing and Planning (I) Plan for Additional Stress When to Seek Help Being Proactive ? Not Reactive Establish Priorities and Attainable Goals Organizing and Planning (II) Setting Up Your Home Office Remove Unneeded or Distracting Items When Technology Fails Develop a Normal Working Day Communication (I) Stay in the Loop Use the Correct Medium Be Clear and to the Point Virtual Communication Can Be Impersonal Communication (II) Open and Frequent Communication Share Your Information Have a Collaborative Attitude Setting Expectations with Family and Friends Additional Challenges Building Trust and Rapport Feeling Isolated Always in the Office Lack of or Less Feedback Wrapping Up Words from the Wise

With this course, you can achieve excellence in process improvement. Designed for professionals seeking to drive efficiency and quality within organisations, this course provides a deep understanding of Lean Six Sigma principles and methodologies and helps you improve your overall performance. This Course At A Glance Accredited by CPD UK Endorsed by Quality Licence Scheme Learn the fundamental aspects of lean six sigma green belt Understand what is lean six sigma green belt Get an introduction to quality and its importance Recognise the lean six sigma project selection methods Get an introduction to the project charter and learn to recognise business problems Learn sampling and data collection plan Understand how to baseline your project, analyse for finding the root cause and much more Get a better understanding of the measure phase, analyse phase, improve phase and control phase Lean Six Sigma Green Belt Certification Course Overview This lean six sigma green belt certification online course will help you kickstart your career in the field of lean six sigma. This extensive online course will also help you understand what is lean six sigma green belt and how to solve business problems systematically. You will also get an introduction to quality and its importance by taking this popular online course. This accredited lean six sigma green belt certification online course will also help you understand different phases such as the measure phase, analyse phase, improve phase and control phase By the end of the course, you will get a comprehensive understanding of the major strategies and techniques required to deal with business-related problems efficiently. Who should take this course? This comprehensive lean six sigma green belt certification course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of lean six sigma. Entry Requirements There are no academic entry requirements for this lean six sigma green belt certification course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This lean six sigma green belt certification course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Course Curriculum Introduction to Quality and Lean and Six Sigma Introduction to Quality and it's Importance Introduction to Lean and Six Sigma Lean Six Sigma Project Selection Methods Introduction to Define Phase Project Charter How to Identify Business Problems How to Identify Stakeholders and Their Position How to Find Out The Scope of The Project Measure Phase Introduction to Measure Process Map & It's Relevance to KPIV / KPOV Data Types - Continuous and Discrete Sampling and Data Collection Plan Data Collection Plan Measurement System Analysis Attribute Gauge R&R Analysis Descriptive Statistics - Measure of Central Tendency Introduction to Variation Descriptive statistics - Measures of Variation Basic Data Diagnosis - Time Series Basic Data Diagnosis & Stratification- Run Chart , Bar & Pie Chart How to Baseline Your Project Process Capability Analysis Process Capability Indices Calculation of Z Score from Various Tables Cause and Effect Analysis Pareto Analysis for Prioritization Control Impact Analysis for Prioritizing X's 5 Why Analysis for Finding the Root Cause FMEA for Identifying the Risk & Root Causes Introduction to Analyze Phase Recap of Define and Measure Analyze Phase Learning Objectives and Deliverables Introduction & 5 Principles of Lean 8 Wastes in Lean Introduction to Value Stream Mapping How to draw a VSM - An Example Tools and Techniques to Analyze X's&Y's Tools Used for Correlation Studies Properties of Normal Distribution Introduction to Hypothesis testing Formulation of Null and Alternate Hypothesis Connection Between Hypothesis Testing and 5 Why Analysis Introduction to Type I and Type 2 Errors Introduction to P Value Hypothesis Testing of Means- Z Test Hypothesis Testing of Means - 1 Sample T Test Hypothesis Testing of Means - 2 Sample T Test Hypothesis Testing of Means - F Test & Anova Hypothesis Testing of Proportions - Chi Square Test Introduction to Regression - Simple Linear Regression Non Parametric Hypothesis Testing - Man- Whitney Test Introduction to Improve Phase Recap of Analyze phase Learning Objectives and Deliverable of Improve Phase Brainstorming Techniques Ground Rules for Solution Generation Criteria Based Matrix for Solution Priritization Pugh Matrix for Solution Prioritization Introduction to Poka Yoke Introduction to 5S Cost Benefit Analysis Implementation Plan Pilot Implementation Verification of Pilot Results Improve Roadmap Introduction to Control Phase Improve Recap Control Phase Learning Objectives and Deliverable Control Road Map and Objectives Process Control and Control Plan Introduction to Control Charts Interpreting Control Charts Control Limits and Specification Limits Types of Control Charts and Selection of Control Charts P and NP Chart U Chart IMR Chart X Bar R Chart Steps for Implementing Control Charts and Response Plan Before and After Display and Project Closure Supplementary Resources Supplementary Resources - Lean Six Sigma Green Belt Certification Assessment Assessment - Lean Six Sigma Green Belt Certification Recognised Accreditation CPD Certification Service 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. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed 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. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. 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. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.   FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

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

About Course Enroll in our Performance Management Course to become a better HR manager in your workplace. This course covers three essential topics under the management umbrella: The golden thread of objectives, measuring performance, appraisals and managing performance. In this Performance Management Course, First you will learn a systematic method for connecting your organisational vision with day to day task level objectives, a critical aspect in driving motivation and commitment in teams and individuals. We call this the Golden Thread, the connection that runs through every stage from vision to task. Without this connection daily activities can begin to feel misguided, unnecessary, and even debilitating. The second topic will save you a massive headache by teaching you how to measure and monitor effectively. We must measure progress towards targets, but measuring and monitoring in the wrong areas could cause skewed or even false results, not to mention the wasted time and effort involved. Get to grips with multiple potential measures, and understand what key areas you should be measuring in order to recoup clear accurate, and useful data. The final topic in this course is managing performance. Through our lessons you will learn ways of adapting your approach to performance management to meet properly individuals needs. Using our will vs skill matrix you will discover a formula for prescribing an approach based upon your staff members current competence and attitude. In short, this course will equip you with all the effective techniques to manage employee performance and also help your peers recognise their role and contribution to effectively manage performance and conduct at work. What Will You Learn? Connect the organisational vision with task level objectives Write concise, specific and attainable objectives Measure performance effectively Understand key performance indicators Adapt your approach to performance management Effectively support your staffs development Course Content Introduction to Performance Management This module provides a comprehensive introduction to performance management, covering key concepts, objectives, and benefits. We explore various frameworks and models, including goal-setting theory and performance appraisal systems. We emphasize the importance of clear expectations, metrics, and communication in driving performance improvement. Additionally, we discuss talent development and succession planning using performance data. By the end of this module, learners will have a solid understanding of performance management principles and be prepared to develop effective strategies that enhance employee engagement and contribute to organizational success. Note: This module sets the stage for subsequent in-depth modules on performance management. Module 1 Introduction to Performance Management Performance Appraisal In Module 2, we dive into the critical process of performance appraisal, which is an integral part of performance management. This module equips learners with the knowledge and skills necessary to effectively conduct performance appraisals and provide constructive feedback to employees. Module 2 Performance Appraisal Performance Criteria and Standards Module 3 Performance Criteria and Standards Module 3 Performance Criteria and Standards Responsible Entity for Appraisal Responsible Entity for Appraisal Performance Appraisal Methods Performance Appraisal Methods Performance Appraisal Interview Performance Appraisal Interview Compensation Management Compensation Management Job Evaluation and Job Structure Job Evaluation and Job Structure Competitive Compensation Policies Competitive Compensation Policies A course by Xpert Learning Tags Performance Management PM