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The aim of this course is to provide an overview of the principles and practice for leading and managing a portfolio of smaller projects in a multi-project / multi-task environment. It presents a range of practical methods and techniques relevant to the smaller project scenario, using exercises and case studies to show how these can be applied. The scope of the programme includes: The course also emphasises the importance of the leadership and team-working skills needed by project managers and team members in carrying out their roles. The principal training objectives for this programme are to: Explain and demonstrate the key principles of successful project management Demonstrate a range of useful project management tools and techniques Define the role, and help participants understand the skills required by, the project leader Provide a structured framework to help participants manage multiple projects Identify opportunities to improve project management within the organisation DAY ONE 1 Introduction (Course sponsor) Why this programme has been developed Review of participants' needs and objectives 2 Managing smaller projects Projects and project management Lessons from past projects; the essential requirements for success Differences between projects; characteristic project life cycles Key issues and challenges of smaller projects The multi-project world; project portfolio management 3 Project exercise Syndicate teams plan and manage a small project Review of the project exercise: What are the keys to successful management of small projects? 4 Setting up the project Getting organised Managing the definition process Identifying and managing project stakeholders Working with the customer to define the scope and agree deliverables 5 Case study 1 Defining the project scope and deliverables Syndicate teams define the scope and deliverables for a typical project 6 Project planning The importance and cost benefit of effective planning Planning the plan; deciding how detailed a plan to create Packaging the work and estimating timescales and costs Developing project / resource schedules; setting milestones for control v Identifying and managing critical path activities 7 Case study 2 Creating the project plan Syndicate teams develop and analyse the project plan DAY TWO 8 Managing project risks Identifying risks to the project outcome, timescale and cost Evaluating risks and adopting an appropriate risk strategy Defining risk ownership; keeping a simple risk log Keeping risk management up to date; staying pro-active Integrating planning and risk management 9 Project control Managing change, minimising scope creep Selecting the data needed to provide early warning of problems Monitoring performance easily with 'S' curves and slip charts Using trend forecasting to assess true project status Running project review meetings 10 Managing a multi-project portfolio Understanding the world of multiple projects Establishing ownership of project / programme management Classifying projects and creating the 'master schedule' Defining and applying project lifecycle management Resource management: essential pre-requisites and mechanisms Project prioritisation criteria and techniques; pain / gain analysis 11 Managing the multi-project team Characteristics of small project teams / part-time team membership Clarifying line and project management responsibilities Implementing effective manpower planning Establishing professional working practices in the team Developing project management competences in the team Establishing team roles and integrating team members 12 Course review and transfer planning (Course sponsor present) Identify actions to be implemented individually Identify corporate opportunities for improving project management Sponsor-led review and discussion of proposals Conclusion

Business Administration: Business Administration Online The Business Administration: Business Administration is a qualification that prepares learners to excel in any business administration role. It will teach you the skills required for the position, such as business communication, administration, delivering presentations, and presenting business data. Studying for our Business Administration: Business Administration course teaches students the fundamental concepts and a variety of administrative techniques required to work in a business. The Business Administration: Business Administration course teaches a variety of admin systems and covers the role of administration work with large and small corporations and how to manage a team in a business setting. Main Course: Level 2 Diploma in Business Administration Course Courses you will Get Business Administration: Business Administration Course Along with Business Administration Course you will get free Business Process Management Along with Business Administration Course you will get free Level 5 Diploma in Risk Management Along with Business Administration Course you will get free Level 7 Diploma in Leadership & Management Special Offers of this Business Administration: Business Administration Course This Business Administration: Business Administration Course includes a FREE PDF Certificate. Lifetime access to this Business Administration: Business Administration Course Instant access to this Business Administration: Business Administration Course 24/7 Support Available to this Business Administration: Business Administration Course Business Administration: Business Administration Online You will be responsible for organising and controlling your workload, priorities, and both personal and professional performance during the Business Administration: Business Administration course. This Business Administration: Business Administration course also covers how to use time management techniques and technologies to support the organisation in achieving its operational objectives. This Business Administration: Business Administration course includes business communication, administrative service concepts, and management of personal performance and growth. The Business Administration: Business Administration Course training also covers managing and supplying stationery and supplies, as well as touch typing notes into text. Who is this course for? Business Administration: Business Administration Online This Business Administration: Business Administration course is ideal for: Anybody in any business or office environment seeking to reach the top of the ladder. Newcomers to the job market who want to improve their prospects for initial employment. Entrepreneurs Small business owners. Requirements Business Administration: Business Administration Online There are some specific requirements for this Business Administration: Business Administration course - Good Command over English language is mandatory to enrol in our Business Administration: Business Administration Course. Be energetic and self-motivated to complete our Business Administration: Business Administration Course. Basic computer Skill is required to complete our Business Administration: Business Administration Course. If you want to enrol in our Business Administration: Business Administration Course, you must be at least 15 years old. Career path Business Administration: Business Administration Online This Business Administration: Business Administration qualification will increase your chances in the business field.

Business Administration: Level 2 Diploma in Business Administration Online This Business Administration: Level 2 Diploma in Business Administration course will assist you in understanding teamwork concepts, dispute resolution strategies, and providing support and constructive feedback to coworkers. You will be in charge of planning and managing personal and professional performance, workloads, and priorities, as well as utilising time management tools and strategies to help the company meet its operational goals. This Business Administration: Level 2 Diploma in Business Administration course includes business communication, administrative service principles, personal performance and development management, preparing text from notes using touch typing, maintaining and issuing stationery and supplies, administering the recruitment and selection process, and contributing to the development and implementation of an information system. Courses you will Get: Course 01: Level 2 Diploma in Business Administration Course 02: Level 4 Time Management Course 03: Minute Taking [Note: Free PDF certificate as soon as completing Business Administration: Level 2 Diploma in Business Administration Course] Business Administration: Level 2 Diploma in Business Administration Online This Business Administration: Level 2 Diploma in Business Administration course consists of 08 Module. Assessment Method of Business Administration: Level 2 Diploma in Business Administration course After completing Business Administration: Level 2 Diploma in Business Administration course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Business Administration: Level 2 Diploma in Business Administration course After completing the Business Administration: Level 2 Diploma in Business Administration course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Business Administration: Level 2 Diploma in Business Administration Online This Business Administration: Level 2 Diploma in Business Administration course is suitable for learners who work in business and administration and want to improve their knowledge and skills in various work environments and sectors. Requirements Business Administration: Level 2 Diploma in Business Administration Online There are some specific requirements for this Business Administration: Business Administration course - Good Command over English language is mandatory to enrol in our Business Administration: Business Administration Course. Be energetic and self-motivated to complete our Business Administration: Business Administration Course. Basic computer Skill is required to complete our Business Administration: Business Administration Course. If you want to enrol in our Business Administration: Business Administration Course, you must be at least 15 years old. Career path Business Administration: Level 2 Diploma in Business Administration Online This Business Administration: Level 2 Diploma in Business Administration qualification will increase your chances of obtaining long-term employment and progressing to the Job.

This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.

Overview The Ultimate Microsoft Office 4 Courses Bundle Course will provide you with everything you need to master the skills for confidently using Microsoft Office in the workplace. You will develop the essential knowledge and abilities employers expect in Word, Excel, PowerPoint and Access. This is a unique bundle course that will teach you the essential shortcuts and time-saving tools, including how to modify the programs according to your needs. You will also be tutored in a wide range of topics in an extremely expert manner that will make your life easier, no matter what your work requires. After the completion of this online Microsoft Office training program, you will receive a valid acknowledgement in Microsoft Office, and be able to accomplish office tasks quickly, with greater efficiency. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Requirements There is no specific requirements for our Ultimate Microsoft Office 4 Courses Bundle course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. The course requires a moderate Internet connection so it is possible to start learning with any type of Internet from anywhere at anytime without any limitations.  Course Content Microsoft Excel 2019 Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features 00:07:00 CONCAT 00:02:00 IFS 00:01:00 MAXIFS 00:01:00 MINIFS 00:01:00 SWITCH 00:02:00 TEXTJOIN 00:01:00 Map Chart 00:02:00 Funnel Chart 00:01:00 Better Visuals 00:06:00 Pivot Table Enhancements 00:02:00 Power Pivot Updates 00:01:00 Getting Started with Microsoft Excel Navigate the Excel User Interface 00:28:00 Use Excel Commands 00:10:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Formatting a Worksheet Apply Text Formats 00:17:00 Apply Number Format 00:08:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:07:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:08:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:05:00 Microsoft Word 2019 Microsoft Word 2019 New Features Introduction to Microsoft Word 2019 New Features 00:14:00 Inking Tools 00:03:00 Inking Tools 1 00:07:00 Learning Tools 00:07:00 Microsoft Translate 00:03:00 LaTeX 00:05:00 Smart Lookup 00:04:00 Side to Side Scrolling 00:02:00 Scalable Vector Graphics 00:03:00 Getting Started with Word Navigate in Microsoft Word 00:12:00 Create and Save Word Documents 00:24:00 Manage Your Workspace 00:06:00 Edit Documents 00:16:00 Preview and Print Documents 00:04:00 Customize the Word Environment 00:08:00 Formatting Text and Paragraphs Apply Character Formatting 00:17:00 Control Paragraph Layout 00:19:00 Align Text Using Tabs 00:07:00 Display Text in Bulleted or Numbered Lists 00:03:00 Apply Borders and Shading 00:04:00 Working More Efficiently Make Repetitive Edits 00:06:00 Apply Repetitive Formatting 00:10:00 Use Styles to Streamline Repetitive Formatting Tasks 00:14:00 Managing Lists Sort a List 00:05:00 Format a List 00:06:00 Adding Tables Insert a Table 00:07:00 Modify a Table 00:06:00 Format a Table 00:03:00 Convert Text to a Table 00:04:00 Inserting Graphic Objects Insert Symbols and Special Characters 00:04:00 Add Images to a Document 00:11:00 Controlling Page Appearance Apply a Page Border and Color 00:03:00 Add Headers and Footers 00:06:00 Control Page Layout 00:05:00 Add a Watermark 00:04:00 Preparing to Publish a Document Check Spelling Grammar and Readability 00:07:00 Use Research Tools 00:06:00 Check Accessibility 00:03:00 Save a Document to Other Formats 00:04:00 Workbooks - Microsoft Word 2016 (Beginner) Workbooks - Microsoft Word 2019 00:00:00 Microsoft PowerPoint 2019 Microsoft PowerPoint 2019 New Features Introduction to Microsoft PowerPoint 2019 New Features 00:06:00 Highlighting 00:02:00 Morph Transition 00:03:00 Zoom 00:03:00 Vector Graphics 00:03:00 SVG Icons to Shapes 00:04:00 3D Modeling 00:04:00 Background Removal 00:03:00 4K 00:03:00 PowerPoint Interface Navigate the PowerPoint Environment 00:28:00 View and Navigate a Presentation 00:15:00 Create and Save a PowerPoint Presentation 00:13:00 Use PowerPoint Help 00:10:00 Presentation Basics Select a Presentation Type 00:08:00 Edit Text 00:13:00 Build a Presentation 00:27:00 Formatting Format Characters 00:11:00 Format Paragraphs 00:16:00 Format Text Boxes 00:09:00 Inserting Options Insert Images 00:10:00 Insert Shapes 00:15:00 Working with Objects Edit Objects 00:16:00 Format Objects 00:06:00 Group Objects 00:04:00 Arrange Objects 00:07:00 Animate Objects 00:07:00 Table Create a Table 00:09:00 Format a Table 00:03:00 Insert a Table from Other Microsoft Office Applications 00:06:00 Charts Create a Chart 00:10:00 Format a Chart 00:10:00 Insert a Chart from Microsoft Excel 00:05:00 Review and Presentatin Review Your Presentation 00:11:00 Apply Transitions 00:05:00 Print Your Presentation 00:05:00 Deliver Your Presentation 00:08:00 Microsoft Access 2019 Microsoft Access 2019 New Features Introduction to Microsoft Access 2019 New Features 00:05:00 Window Resize 00:01:00 Charts 00:02:00 dbf 00:01:00 Large Number 00:01:00 Property Sorting 00:01:00 Introduction to Access Orientation to Microsoft Access 00:39:00 Create a Simple Access Database 00:10:00 Get Help and Configure Options in Microsoft Access 00:06:00 Modify Data Modify Table Data 00:17:00 Sort and Filter Records 00:05:00 Working with Queries Create Basic Queries 00:15:00 Sort and Filter Data in a Query 00:14:00 Perform Calculations in a Query 00:08:00 Access Forms Create Basic Access Forms 00:07:00 Work with Data on Access Forms 00:23:00 Working with Reports Create a Report 00:23:00 Add Controls to a Report 00:12:00 Enhance the Appearance of a Report 00:05:00 Prepare a Report for Print 00:03:00 Organize Report Information 00:15:00 Format Reports 00:12:00 Assignment Assignment - Ultimate Microsoft Office 4 Courses Bundle 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00

Duration 2 Days 12 CPD hours This course is intended for The course is designed for individuals who want to gain in-depth knowledge and practice in the discipline of Business Analysis (Business Analysts, Requirements Engineers, Product manager, Product Owner, Chief Product Owner, Service Manager, Service Owner, Project manager, Consultants) Overview Students should be able to demonstrate knowledge and understanding and application of Business Analysis principles and techniques. Key areas are: The breath of the role of a Business Analyst The processes and techniques of strategy analysis Investigation of an organization's business systems Techniques used within stakeholder analysis and the need for analyzing perspectives Conceptual modelling and business activity models Business improvements through gap analysis The Business case within the business change lifecycle The Business Analyst role analyzes, understands and manages the requirements in a customer-supplier relationship and ensures that the right products are delivered.The course provides in-depth knowledge and practice in Business Analysis Course Introduction Let?s Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to Business Analysis Practice Exam Details Business Analysis Certification Scheme Rationale for Business Analysis The role of the BA throughout the stages of the Business change lifecycle The scope of the BA role within the context of the range of analysis activities Three areas of competencies Understanding the Strategic Context Techniques in practice: MOST Resource audit PESTLE Porter's Five Forces SWOT analysis CSF, KPI and Performance target Balanced Business Score Card Understanding the Current Situation Identification of stakeholder categories Identification of relevant investigation techniques The rationale for taking a holistic view Rich pictures, Mind Maps and Fishbone diagrams Stakeholder Analysis and Management Power/interest and level of interest Appropriate stakeholder management strategy Stakeholder perspectives and CATWOE technique Analysing and Modelling Business Activities Conceptual models of a business situation Five types of high level activity Planning activities Enabling activities Doing activities Monitoring and control activities Three types of business events The consensus business activity model Identifying Potential Solutions Different categories of business rules Gap analysis (through conceptual business activity model and as-is business situation) Components of a new business model Building the Business Case Rationale for the development of a business case Contents of a business case Identification of tangible/intangible costs and benefits, risks and impacts Rationale for the financial case and appraisal techniques Business case review in the business change lifecycle Additional course details: Nexus Humans Business Analysis - Practice 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 Business Analysis - Practice 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.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for any individual who might need to perform project management activities in their job role on either a formal or informal basis, or any individual who wants to build upon their current project management knowledge to be more productively involved on a project team. This course is not specifically designed for students who are seeking project management-related certification. Rather, it is designed to introduce a structure to help students more effectively manage projects as well as participate fully on a project team. Overview In this course, you will apply recognized practices of project management to manage a project from start to finish. You will: - Identify the basic concepts of project management. - Launch a project. - Estimate project work. - Create a project schedule. - Plan project costs. - Plan for project risks. - Plan for project quality and compliance. - Manage human and physical resources for the project. - Manage project procurements. - Plan for change management and monitor the project scope. - Monitor and optimize project schedule and cost. - Monitor the quality of the project work and the risks involved. - Plan communication strategies and manage stakeholder relationships. - Close a project. If you are taking this course, you probably have some exposure to managing projects, or you may be considering embarking on a career as a professional project manager. Your ability as a project manager to demonstrate best practices in project management on the job is becoming the standard to compete in today's fast-paced and highly technical workplace. In this course, you will apply the generally recognized practices of project management to successfully manage projects. Project managers are always under severe pressure to complete projects on time and within budget. However, most projects fail to meet these demands, and, as a result, many projects are terminated early. Successful project management requires knowledge and experience. This course is designed to provide you with the skills needed to be a successful project manager in today's rapidly changing world. The skills and knowledge you gain in this course will help you avoid making costly mistakes and increase your competitive edge in the project management profession. Getting Started with Project Management Define Project Management Basics Identify Influencing Factors Define Project Management Certifications Launching Projects How Organizations Choose the Right Project Identify Project Stakeholders and Their Expectations Authorize a Project Identify the Project Scope Estimating Project Work Develop a WBS Identify the Relationships Between Work Packages Identify Resources Estimate Time Creating a Project Schedule Develop a Project Schedule Create a Schedule Baseline Planning Project Costs Establish Project Costs Establish the Cost Baseline Reconcile Funding and Costs Planning for Risk Create a Risk Management Plan Identify Risks and Their Causes Analyze Risks Develop a Risk Response Plan Planning for Quality and Compliance Deliver the Desired Project Results Verify Compliance Requirements Managing the Project Team Plan Your Project Team Assemble the Team Develop the Team Manage the Team Managing Project Procurements Plan for Project Procurements Obtain Responses from Vendors Select the Right Vendor Manage Vendors and Procurements Managing Change During Project Execution Prepare for Project Execution Manage Project Changes Monitor the Project Scope Monitoring and Controlling Project Schedule and Cost Monitor and Control the Project Schedule Optimize the Project Schedule Monitor and Control Project Cost Monitoring and Controlling Risk and Quality Monitor and Control Risks Put Quality Plans into Action Control Project Quality Communicating and Reporting Communicate During a Project Distribute Project Information Manage Stakeholder Relationships and Expectations Report on Project Performance Closing the Project Deliver the Final Product Close Project Procurements Close the Project

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

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

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