1853 Summary courses

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

This course is aimed at those who would like to work as a learning support assistant in a school or further education setting. Level 3 Certificate in Supporting Teaching and Learning will give you an understanding of the skills and knowledge needed to support learners in the classroom.

Do you want a rewarding career working directly with people? Would you like to make a difference to their everyday lives? If you are warm, open and compassionate and can bring a patient and non-judgemental attitude, a career in counselling could be for you. The Level 3 Certificate is the second stage on the journey to becoming a qualified counsellor.

Course Objectives At the end of this course you will be able to: Identify the components of the Microsoft Project environment Create a new project plan Create the project schedule Use different views to analyse the project plan Create, allocate and manage resources in a project plan Finalise a project plan Track progress View and report project plan information ' 1 year email support service Customer Feedback Very good course. Learnt a lot. Looking forward to the next level. Alexandra - CIAL ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introduction to Microsoft Project Recap on project management concepts Project environment overview The 3 databases: Tasks, Resources and Assignments Different ways of displaying the Project Plan Access Help Creating a Project Plan Create a New Project Plan Project Information Create and apply the project calendar Defining recurring exceptions to the calendar Defining the calendar's work weeks Create the Summary tasks Create the Work Breakdown Structure Task creation and scheduling Exploring the Entry Table and its fields Task editing and the Task Information window Task Durations Defining Milestones Manual Scheduling vs Automatic Scheduling Changing the Task's Calendar Create a split in a Task Create Task Relationships Adding Lag or Lead to a Relationship Identifying the Critical Path Adding Constraints and Deadlines to Tasks Create Recurring Activities Adding Notes and links to Tasks Managing Resources Exploring the Entry Table and its fields Resource editing and the Resource Information window Resource Types Fixed Costs vs Variable Costs Adding Resource Costs Defining when costs accrue Changing the Resource Calendar and Availability Project calendar vs Resource and Task Calendar Assigning Resources to Tasks Effort Driven Scheduling Resolving Resource Overallocation Tracking the Project Progress Setting a Project Baseline Entering Actuals Different ways of viewing the Progress Checking if the Project is on track Viewing and Reporting Project Detail Adding Tasks to the Timeline and sharing it Modifying the Timescale and Zoom level Formatting the Gantt View Filtering and Grouping Tasks Print and Troubleshoot the Gantt View Using built-in Reports in Microsoft Project Who is this course for? Who is this course for? This course is designed for a person who has an understanding of project management concepts, who is responsible for creating and modifying project plans, and who needs a tool to manage these project plans. Requirements Requirements General knowledge of the Windows OS Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills Certificates Certificates Certificate of completion Digital certificate - Included

Overview This comprehensive course on IELTS Reading Academic Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This IELTS Reading Academic Masterclass comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this IELTS Reading Academic Masterclass. It is available to all students, of all academic backgrounds. Requirements Our IELTS Reading Academic Masterclass 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 • 17:15:00 total length •Welcome Aboard: 00:09:00 •Fundamentals: 00:33:00 •Types of Questions: 00:24:00 •How to Answer Fill-in-the Blank Questions: 00:30:00 •Fill-in-the-Blank: Practice Set 1: 00:24:00 •Fill-in-the-Blank: Practice Set 2: 00:22:00 •How to Answer Short Answer Questions: 00:24:00 •Short Answer: Practice Set 1: 00:29:00 •Short Answer: Practice Set 2: 00:24:00 •How to Answer Yes/No/Not Given Questions: 00:27:00 •Yes/No/Not Given: Practice Set 1: 00:34:00 •Yes/No/Not Given: Practice Set 2: 00:31:00 •Multiple Choice: Practice Set 1: 00:19:00 •Multiple Choice: Practice Set 2: 00:21:00 •How to Answer Sentence Completion Questions: 00:18:00 •Sentence Completion: Practice Set 1: 00:14:00 •Sentence Completion: Practice Set 2: 00:17:00 •How to Answer Table Questions: 00:25:00 •Table: Practice Set 1: 00:16:00 •Table: Practice Set 2: 00:30:00 •How to Answer Diagram Questions: 00:22:00 •Diagram: Practice Set 1: 00:17:00 •Diagram: Practice Set 2: 00:12:00 •How to Answer Flowchart Questions: 00:16:00 •Flowchart: Practice Set 1: 00:20:00 •Flowchart: Practice Set 2: 00:29:00 •How to Answer Summary Questions: 00:26:00 •How to Answer Multiple Choice Questions: 00:18:00 •Summary: Practice Set 1: 00:27:00 •Summary: Practice Set 2: 00:27:00 •How to Answer Matching Questions: 00:21:00 •Matching: Practice Set 1: 00:17:00 •Matching: Practice Set 2: 00:24:00 •How to Answer Paragraph Location Questions: 00:18:00 •Paragraph Location: Practice Set 1: 00:29:00 •Paragraph Location: Practice Set 2: 00:21:00 •How to Answer Headings Questions: 00:23:00 •Headings: Practice Set 1: 00:22:00 •Headings: Practice Set 2: 00:18:00 •How to Answer Pick from List Questions: 00:29:00 •Pick From List: Practice Set 1: 00:16:00 •Pick From List: Practice Set 2: 00:27:00 •Full Reading Test - Passage 1: 00:36:00 •Full Reading Test - Passage 2: 00:36:00 •Full Reading Test - Passage 3: 00:02:00 •Final Tips: 00:11:00 •Assignment - IELTS Reading Academic Masterclass: 00:00:00

Data modelling and visualisation skills are in demand! Create Interactive Reports and Dashboards.

Join our CSS Fundamentals course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The CSS Fundamentals course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The CSS Fundamentals course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this CSS Fundamentals. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital/PDF Certificate After completing the CSS Fundamentals course, you can order your CPD-accredited Digital/PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This CSS Fundamentals is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the CSS Fundamentals course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this CSS Fundamentals Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Unit 01: CSS in Context Module 01: What Was CSS Originally Intended To Do? 00:07:00 Module 02: DEMO: The Most Basic CSS Usage 00:07:00 Module 03: Responsive Design 00:02:00 Module 04: Chapter Summary 00:02:00 Unit 02: Overview of CSS Module 01: What is CSS? 00:04:00 Module 02: Where Can You Find CSS? 00:03:00 Module 03: What CSS Can and Can't Do 00:02:00 Module 04: Optional Demo - Serving an HTML Application 00:05:00 Module 05: How Do we Add CSS to a Website? 00:04:00 Module 06: Demo - Adding CSS to a Website 00:06:00 Module 07: CSS Selectors 00:03:00 Module 08: Demo - Using CSS Selectors 00:05:00 Module 09: Module Summary 00:01:00 Unit 03: Styling HTML Elements with CSS Module 01: Why do We Style CSS Elements? 00:03:00 Module 02: CSS and Fonts 00:03:00 Module 03: DEMO: Styling Text with CSS 00:07:00 Module 04: Sizing HTML Elements with CSS 00:06:00 Module 05: DEMO: Sizing HTML Elements with CSS 00:08:00 Module 06: Colorizing HTML Elements with CSS 00:05:00 Module 07: DEMO: Colorizing HTML Elements with CSS 00:07:00 Module 08: Summary of this Chapter 00:01:00 Unit 04: Arranging Elements with CSS Module 01: Introduction 00:01:00 Module 02: Adding Margin with CSS 00:01:00 Module 03: Advanced Positioning with CSS 00:04:00 Module 04: DEMO: Positioning Elements Absolutely and Relatively 00:07:00 Module 05: Positioning HTML Elements with Float 00:02:00 Module 06: DEMO: Positioning HTML Elements with Float 00:07:00 Module 07: Summary of this Course 00:04:00

Description: Here is the surefire method every beginner project manager needs to quickly master Microsoft Project 2016. This Microsoft Project 2016 for Beginners is designed to help you develop a plan, assign resources to tasks, track progress, manage your budget and analyze workloads. By this course you will discover how to work with costs, deadlines, and overcome scheduling issues, how to subtasks, dependencies, deadlines, and resources, and all the detail you need to know as a beginner. So, why are you waiting for? Get some more knowledge and improve your skills by joining this course. Learning Outcomes: Project management basics, navigating and customizing the user interface, adding tasks and resources to a project and saving them Managing project time frames and changing working time Managing project tasks, adding summary tasks and milestones Managing project resources, allocating and levelling work resources Sharing and exporting projects, and adjusting project print views Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Project 2016 for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Project 2016 for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Starting a Project Project Management 101 00:15:00 ACTIVITY - PROJECT MANAGEMENT 101 00:05:00 Navigate and Customize the Project 2016 Interface 00:30:00 ACTIVITY - NAVIGATING AND CUSTOMIZING THE PROJECT 2016 INTERFACE 00:05:00 Add Tasks to a Project 00:15:00 ACTIVITY - ADDING TASKS TO A PROJECT 00:05:00 Add Resources to a Project 00:15:00 ACTIVITY - ADDING RESOURCES TO A PROJECT 00:05:00 Save a Project 00:15:00 ACTIVITY - SAVING A PROJECT 00:05:00 Working with Project Calendars Manage Project Time Frames 00:15:00 ACTIVITY - MANAGING PROJECT TIME FRAMES 00:05:00 Change Working Time 00:15:00 ACTIVITY - CHANGING THE WORKING TIME FOR A PROJECT 00:05:00 Working with Project Tasks Manage Project Tasks 00:15:00 ACTIVITY - MANAGING PROJECT TASKS 00:05:00 Add Summary Tasks and Milestones 00:15:00 ACTIVITY - ADDING SUMMARY TASKS AND MILESTONES 00:05:00 Working with Project Resources Manage Project Resources 00:15:00 ACTIVITY - MANAGING PROJECT RESOURCES 00:05:00 Allocate and Level Work Resources 00:15:00 ACTIVITY - LEVELING RESOURCES 00:05:00 Delivering a Project Plan Print Project Views 00:15:00 ACTIVITY - PRINTING A PROJECT VIEW 00:05:00 Share Projects 00:15:00 ACTIVITY -SHARING PROJECTS 00:05:00 Export Projects 00:15:00 ACTIVITY - EXPORTING A PROJECT 00:05:00 Activities Activities - Microsoft Project 2016 for Beginners 00:00:00 Mock Exam Mock Exam- Microsoft Project 2016 for Beginners 00:20:00 Final Exam Final Exam- Microsoft Project 2016 for Beginners 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Effective Presentation Skills (On-Demand) Regardless of your role, it's important to know how to synthesize your ideas into a coherent and focused narrative, add visuals that support and reinforce your message, and deliver it in a way that resonates with your audience. In this highly interactive course, we will unpack and practice some of the tools and techniques used by top speakers and influencers all over the world. In today's results-oriented, global working environment, the ability to create and deliver presentations effectively is a necessary skill set for people at all levels of an organization. Regardless of your role, it's important to know how to synthesize your ideas into a coherent and focused narrative, add visuals that support and reinforce your message, and deliver it in a way that resonates with your audience. In this highly interactive course, we will unpack and practice some of the tools and techniques used by top speakers and influencers all over the world. In this engaging two-day course, you will plan, write, refine, practice, and deliver a presentation to the class. Your presentation will be filmed on both days, and you will leave the course with a flash drive copy of your videos. (ONLY AVAILABLE for Traditional and Virtual Classes) In addition to discovering and enhancing your own personal delivery style, you will learn how to create an overarching goal for your presentation and then organize and structure it for maximum impact. What you will Learn At the end of this program, you will be able to: Construct an effective presentation goal statement, opening, body, and closing that connect with an audience Analyze an audience's needs and style preferences, including relevant DiSC®-related elements Deliver a complete criteria-based presentation that will persuade others Align usage of visuals as well as verbal and non-verbal techniques to maximize the impact of your presentation Getting Started Introductions and social agreements Course structure Course goals and objectives Opening activities Planning and Organizing Video: 'The Art of Misdirection' Setting your presentation goal Writing a goal statement Analyzing your audience Applying the 'reality' test Creating and strengthening supports Structuring your presentation 5 components of an effective opening Presentation body Presentation closing Write your presentation opening Audience Analysis Video: 'How to Tie Your Shoes' Everything DiSC® introduction Audience DiSC® Styles Analyzing your audience Further audience analysis Effective Delivery Delivery challenges and in-person Keeping your audience engaged Your body as your instrument Verbal / paraverbal elements Body stance and nonverbal communication What are your 'tells?' Controlling nervousness Staying attuned to your audience Responding to questions Review and edit your opening Deliver your opening Visuals and Enriching Elements Using images in your presentation Guidelines for visual composition Using questions to engage your audience The power of the pause Practicing and Applying What You've Learned Preparation Delivery Feedback Opportunity to put into practice the program content and receive a video copy Summary and Next Steps What did we learn and how can we implement this in our work environment? Your personal action plan

CITB HEALTH AND SAFETY AWARENESS COURSE The 1 Day CITB Health and Safety Awareness course is for those who have entered, or are about to enter the construction and civil engineering industry as a member of the workforce, to help them understand the potential hazards that they face at work on site. The Site Safety Plus 1 day CITB health and safety awareness course provides a practical summary of safety, welfare and environmental issues identifying individual responsibilities for looking after themselves and others, what the employers duties are and what should be done if they think anyones safety and health is being put at risk. The aims and objectives of the CITB health and safety awareness course are to ensure that individual responsibilities are understood: why they are carrying out their identified duties what is expected of them to ensure that they contribute to the safety of the workplace To ensure that the end of the CITB health and safety in construction course delegates will be able to: understand the need to prevent accidents have an understanding of the law identify how their role fits into the control and management of the site understand the need for risk assessments and method statements appreciate the need to perform safely and to stop and ask for advice if not sure feel obliged to report unsafe acts to prevent an accident IMPORTANT INFORMATION Photographic I.D. is required for all delegates Written parental consent is required for all delegates under 18 years of age Failure to provide this on the first day of the course is likely to result in the delegate not being allowed to attend or complete the training.