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Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

Embark on a captivating journey into the realm of Python 3 Programming with our comprehensive course. From unraveling the mysteries of mathematical operators to mastering advanced topics like threading and socket terminology, this course is your gateway to the dynamic world of coding. Engage with hands-on sessions, explore the power of Python libraries, and conquer the art of class implementation. Your digital odyssey begins with the basics and evolves into a sophisticated understanding of programming essentials. Our creatively crafted curriculum promises an exhilarating learning experience, making coding accessible to enthusiasts and novices alike. Learning Outcomes Master the fundamentals of Python 3, from basic math operations to complex string manipulations. Develop practical skills in working with lists, dictionaries, and advanced string manipulation techniques. Gain proficiency in file handling, regex, and navigating systems using the OS library. Understand the principles of classes, inheritance, and the manipulation of date and time. Explore advanced topics such as performing HTTP requests, socket programming, and sending emails using SMTPlib. Why choose this Python 3 Programming course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python 3 Programming course for? Individuals eager to start their coding journey without prior programming experience. Students seeking a comprehensive understanding of Python 3 programming. Professionals looking to enhance their skills and stay relevant in the evolving tech landscape. Coding enthusiasts excited to explore the vast possibilities Python 3 offers. Anyone desiring a hands-on and engaging learning experience in programming. Career path Python Developer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Software Engineer: £40,000 - £65,000 Machine Learning Engineer: £45,000 - £70,000 Web Developer: £32,000 - £50,000 Network Programmer: £38,000 - £60,000 Prerequisites This Python 3 Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python 3 Programming was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01 Welcome to Python 3 course! 00:03:00 Why you should learn Python 3 00:04:00 Installing Python 3 on Windows 00:08:00 Installing Python3 on Ubuntu and Mac 00:08:00 Taking a closer look at Python 3 IDLE 00:05:00 Section 02 Math operators 00:12:00 Strings 00:08:00 Variables and variable naming rules 00:11:00 Our first program! 00:12:00 Type, Len, Str, Int, Float , functions 00:09:00 True or false Boolean 00:10:00 IF statement 00:05:00 IF & ELSE 00:13:00 Using ELIF for multiple statements 00:09:00 While loop 00:16:00 Using Continue in a loop 00:06:00 FOR loop 00:10:00 Importing Python libraries 00:12:00 Section 03 Defining functions in Python 3 00:15:00 Local and global variables 00:10:00 Coding guess the number program 00:16:00 Reverse a string function 00:07:00 Calculate area of a circle program 00:11:00 Simple Python calculator 00:15:00 Removing vowels from string program 00:13:00 Find the largest number out of three 00:16:00 Section 04 Python 3 lists 00:15:00 Creating smaller out of bigger list 00:09:00 Manipulating lists and elements 00:08:00 Append, insert, remove, sort 00:11:00 Tuples 00:13:00 Introduction to dictionaries 00:11:00 Values, keys, items, get 00:08:00 Dictionary comprehension - part 1 00:08:00 Dictionary comprehension - part 2 00:07:00 Advance string manipulation 00:12:00 Upper(), lower(), isupper(), islower() 00:09:00 Split, strip, join, startswith, endswith 00:13:00 Section 05 Navigating through system with OS library 00:29:00 Reading and writing to files 00:16:00 Reversing text from a file 00:17:00 Section 06 Try and except 00:13:00 Section 07 Classes 00:22:00 Changing class attributes 00:10:00 Built in class attributes 00:08:00 Using your class in a different program 00:05:00 Using your class in a program 00:26:00 Implementing students count option 00:05:00 Class inheritance 00:12:00 Overriding methods in a class 00:08:00 Section 08 Printing and calculating date and time 00:30:00 Different date formats 00:09:00 Section 09 Extracting useful data 00:23:00 Regex - part 1 00:23:00 Regex - part 2 00:17:00 Section 10 Performing HTTP GET request 00:20:00 Performing post request 00:04:00 Handling website redirections 00:03:00 BeautifulSoup 00:29:00 Encoding in requests 00:12:00 Session and cookies 00:21:00 SSL certificate, authentication 00:21:00 Json library and proxies 00:10:00 Section 11 Socket terminology 00:09:00 Connecting two machines 00:21:00 Coding a chat program 00:35:00 Receiving Desired Amount of Data 00:20:00 Socket Timeout and Options 00:08:00 UDP Server & Client 00:13:00 AF_UNIX & Raw sockets 00:14:00 Section 12 Theory Behind Threaded Server 00:15:00 Thread & Threading 00:50:00 Section 13 Sending Emails Using SMTPlib 00:32:00 PDF Files 00:11:00 Images In Python 00:16:00 Assignment Assignment - Python 3 Programming 00:00:00

Before you can effective lead others, you must first lead yourself. This 12 module program will help you develop in the following areas: Self Knowledge & Emotional Intelligence Identifying your strengths and building on them Values and Personal Mission Statement Self-motivation and personal goals Taking personal responsibility Discovering your purpose Authentic leadership and influencing others

Do you think that UI Designers use Photoshop in the same way as other Designers? Do you know what are the basic concepts, settings and tools UI Designers know and you don't? So if you want to learn UI Design with Photoshop and upgrade your confidence and Skill levels in Photoshop; this course is for YOU. This course is equally good for Beginners and Experts so don't worry if you haven't used Photoshop before. Most of us don't know the basic settings, shortcuts, tools and extension we need in Photoshop to become a UI Designer, we make same mistakes and keep on wasting time online searching for different settings and answers to common UI Design issues and problems. What Will I Learn? Start your Career as UI Designer Learn the settings necessary for UI Design Process Learn all the Basic tools of Photoshop for UI Design Start using Photoshop with solid foundation in UI Design Learn all the Photoshop Shortcuts for UI Design How to use Photoshop Extensions to speed up UI Desing Process Tips and Techniques for Efficient usage of Photoshop for UI Design Learn how to use Custom Scripts in Photoshop for UI Design Learn about Color schemes and Typography Online tools Learn how to use Gradients and Patterns in UI Design Create Wireframes and learn the tools needed to create them Learn how to design MODERN DASHBOARD graphs and elements Learn how to design MODERN HERO/HEADERS of Websites Who is the target audience? Novice/Beginner Level Designers Web Designer Graphic Designer Web Developers who wants to learn UI Design UI Designer who wants more advaced techniques Requirements Passion to become a UI Designer Minimum Photoshop CC or Latest version of Photoshop Introductions 1.1) Upload And Review Your Work-1 00:03:00 Setting Up Photoshop for UI Design 2.2) Setting up Photoshop CC Preferences 00:06:00 2.3) Color Profile Settings for ui design 00:05:00 2.5) Creating Custom Shortcut Keys 00:04:00 2.6) Installing scripts in Photoshop 00:06:00 2.8) What area Photoshop Extensions 00:07:00 2.9) Power of Photoshop Extensions 00:09:00 2.10) How to install Extension in mac and win update 00:16:00 (Optional - Can watch at the end) Color Calibration and Monitors for Designers 2.5-1 Color Calibration 00:08:00 2.5-2 Monitor You Need-1 00:02:00 2.5 - 3 OS Based clor Calibration 00:07:00 Basics of Photoshop for Beginners 00.Customize Toolbar 00:04:00 01.how Photoshop interface works 00:05:00 02.creating photoshop new document 00:04:00 03.what are artboards 00:06:00 04.Layers Panel Part 1 00:06:00 05.Layer Panel Filtering And Finding Part 2 00:06:00 07.Type tool 00:05:00 08.Character Panel 00:07:00 09.Paragraph Panel 00:04:00 10.New Shape Tool 00:08:00 12.Deep dive in Pen Tool 00:16:00 12.selections april2017 New 00:07:00 13.pen tool in web design 00:04:00 14.Alignments 00:06:00 15.common-shortcuts 00:15:00 16.Clipping_Masks 00:02:00 17.exercise clipping mask 00:01:00 18.Layer Masks HB 00:05:00 19.smart_objects 00:08:00 20.linked smart objects_Revised 00:07:00 21.Layer comps usage 00:06:00 22 Using Smart Guides In Photoshop-1 00:05:00 Layer Styles Basics for UI Design 1.drop_shadow_layer_effect 00:04:00 2.inner_shadow_UI_Design 00:02:00 3.stroke effect 00:03:00 4. Re-using layer styles 00:02:00 Gradients in Web and UI Design 1.what.are.gradients 00:02:00 2.uses.of.gradients 00:04:00 3.3ways-to-create-gradients 00:05:00 4.how to use gradient editor 00:08:00 5.using-gradient-overlay 00:06:00 Using Patterns in Web and UI Design 1.what are patterns 00:02:00 2. two methods of applying patterns 00:05:00 3.create Pattern From an Img File 00:03:00 04. using .pat files in photoshop 00:05:00 Basics of UI Design | Light, Shadows, Color schemes & Typography 01. How light and shadow works in UI Design 00:01:00 2.examples of lightshadow 00:02:00 3.color schemes for beginners 00:02:00 4.getting scheme from logo and hsb 00:01:00 5.online tools for color schemes 00:06:00 6.how to choose fonts and typography 00:09:00 7.Using Grids for Web Design 00:06:00 8.Creating Grids In Photoshop 00:06:00 UI Design Exercises & Challanges with Step by Step solutions 1.soft-shadow button challange 00:01:00 2.soft_button_solution 00:13:00 3.3d Button Challange 00:01:00 4.Pressed effect in Photoshop 00:07:00 5.modern pattern part 1 00:09:00 6.modern header design part 2 00:09:00 7.moder header design new variation 00:09:00 8.color overlay header 00:11:00 09 Gradienteffect Header Design-audiosynced 00:13:00 9.Actual Exercise Transparent Image Header-1 00:13:00 10.tabs intro 00:01:00 11.tabs-part1 00:14:00 12.tabs-part2 00:08:00 Image Editing 101 for UI Designers 1.removing White Bg With Blending Options 00:03:00 2.Spot Healing brush usage 00:04:00 3.making Colors Pop in Photohsop 00:07:00 4.magnetic Lasso Tool to remove background 00:16:00 5.select And Mask Tool 00:10:00 IOS App Design : Exercise Iphone Food Deals App 1.Gathering Resources IOS App-Design 00:04:00 2.Lets Start The IOS App Design 00:05:00 3.Adding Images To Design the App design 00:06:00 4.Adding Text On App Screen 00:06:00 5.Adding Phone And Book Now Buttons 00:12:00 6.Using Mobile Mockups 00:04:00 UDEMY ONLY App Design Challane-exercise 00:06:00 BONUS: Dribbble styled Dashboard UI Design (Student Request) 1.area graph base design 00:04:00 2area graph grid 00:05:00 3.adding text to graph area 00:08:00 4.drwaing area graph with pen tool 00:04:00 5.designing extras adding dots and hover info 00:06:00 7.final Adjustments To Area Graph-1 00:10:00 8.area graph to line graph 00:04:00 9.circular bar graph base shape.mp4 00:06:00 10.adding Gradients And Shadows To Circular Graphs-1 00:13:00 11.designing stats with text 00:09:00 12.bar Graph Design In Photoshop Pt 00:09:00 13.Bar Graph Adding Text 00:06:00 14.Student-request-ciruclar-percentage graph 00:08:00 Wifreframes in UI Design + Ultimate Web Design Challange 1.what Are Wirefreams 00:00:00 2.Tools Used For Wireframes 00:12:00 Dribbble Shot Redesign Exercise - Student Request dribbble redesig part 1 00:15:00 dribble shot part 2 00:15:00 Exercises : Form UI Design with Photoshop 1.Base Of Login Form 00:07:00 2.Form Fields Design 00:12:00 3.Finishing Form Design 00:12:00 Pro Secret Tips and Tools for Designers and Developers Converting psd to CSS 00:07:00 Exporting Images from Photoshop 00:07:00 Tips on Using Grids 00:02:00 Photoshop Features Updates and New Versions 3.Match Fonts Cc2015.5-1 00:03:00 Cc2018 Update-1 00:04:00

Negotiation Skills: Negotiation Skills Course Online Unlock the Power of Negotiation Skills: Negotiation Skills Course: Enrol Now! Unlock the power of effective negotiation skills with our dynamic Negotiation Skills course! Learn proven negotiation skills techniques and strategies from industry experts. Master the art of persuasion, communication, and collaboration through hands-on negotiation skills exercises. Elevate your career with unparalleled negotiation skills expertise. Enroll now for success! Courses you will get with Negotiation Skills: Negotiation Skills Course: Main Course: Level 5 Negotiation Skills Course Free Courses included with Negotiation Skills: Negotiation Skills Course Course 01: Residential Letting Course 02: Property Management Course 03: Property Development Course 04: Dealing with Difficult People [ Note: Free PDF certificate as soon as completing the Negotiation Skills: Negotiation Skills Course] Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course consists of 12 modules. Assessment Method of Negotiation Skills: Negotiation Skills Course After completing Negotiation Skills: Negotiation Skills Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Certification of Negotiation Skills: Negotiation Skills Course After completing the Negotiation Skills: Negotiation Skills Course, you can instantly download your certificate for FREE. Who is this course for? Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course is ideal for candidates committed to their ongoing professional development. Requirements Negotiation Skills: Negotiation Skills Course Online To enrol in this Negotiation Skills: Negotiation Skills Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Negotiation Skills: Negotiation Skills Course. Be energetic and self-motivated to complete our Negotiation Skills: Negotiation Skills Course. Basic computer Skill is required to complete our Negotiation Skills: Negotiation Skills Course. If you want to enrol in our Negotiation Skills: Negotiation Skills Course, you must be at least 15 years old. Career path Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course could hold the key to the leadership career of your dreams. Typical job titles in management and leadership include: Team Leader Manager Controller

If you want your employees to improve their customer service skills and deliver an amazing experience to your customers, feel free to check out my Training course focusing on the core values of customer service.

Face to Face training customised and bespoke. One to One Online or Face to Face

This course takes you through the concepts of Alteryx from scratch. With the help of interesting case studies, you will learn how to use Alteryx for joining datasets, performing union operations, finding and replacing text, sorting and filtering data, and a lot more.

Description: It is almost impossible to achieve anything in this world without proper training. You might be wondering of overnight success, but it does not work that way. With the help of this course, delve into the world of professional training and learn to understand the real value of training. In this course, you get to identify the most effective methods of training evaluation. More importantly, you can examine the most capable techniques to report the training outcomes, concerning a return on your investment. We want massive gratifications that comes from working with others to help them reach their potential as human beings. With myriad training methods taught in this course, it will help you reach that goal. Learning Outcomes: Exhibit your realisation of learning process and how to exploit all four learning methods in the classroom Exploit the major fundamentals of effective communication to launch a workshop. Apply different training methods to provoke participation Make a strategy and get ready for an productive training session Clarify the different stages of assessment and when to apply them Recognise upgraded improvement for tough circumstances Execute your eligibility to apply for a team presentation Relate the crucial contents for a training program Execute various techniques so as to program your design Examine competence for your preparation, research, as well as delivery of gorgeous contents Decode an instructive model Getting ready to launch a training program proposal 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. Identify the most effective methods of training evaluation Recognise the most proficient strategies for training evaluation Relate the steps crucial for the necessary components of assessing the training results Learn tying the training measurements back to the original training objectives Examine the most proficient techniques so as to report the training results, involving a return on investment Narrate the way storyboarding switches on to better training results Execute storyboarding methods to generate a strong basis for training Plan designs for training applying storytelling so that it becomes memorable, persuasive, as well as rightly applicable for the audience Assess technology tools to help determine the steps that will produce the best learning experience required for ample training How training can include the use of humor and games Different types of games Methods to elicit participant buy-in How to apply humor principles in adult learning How to troubleshoot when games go badly How to develop their own games 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? Complete Trainer Training Course 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 Complete Trainer Training Course 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. Module - 1 Course Overview 00:15:00 Defining a Successful Training Program 00:05:00 What Makes a Successful Trainer? 00:15:00 A Word About Adult Learning 00:05:00 The Learning Process 00:05:00 Principles of Adult Learning 00:15:00 What's Your Type? How About Mine? 01:00:00 Applying the Learning Cycle 00:15:00 Extroverts and Introverts 00:15:00 The Training Process 00:15:00 Planning Training 00:15:00 Choosing Training Methods 00:15:00 Adding Games 00:15:00 Presentation Skills 01:00:00 Dealing with Difficult Trainees 00:15:00 On-the-Job Training 00:15:00 Module - 2 Course Overview 00:15:00 Program Design 00:30:00 Identifying Needs 00:30:00 The Training Model 01:00:00 The Program's Basic Outline 01:00:00 Evaluation Strategies 01:00:00 Defining Your Approach 01:00:00 Researching and Developing Content 00:15:00 Choosing Openings and Energizers 00:30:00 Creating Supporting Materials 00:15:00 Testing the Program 00:15:00 Creating Proposals 00:30:00 Building Rapport 00:15:00 Module - 3 Course Overview 00:15:00 A Closer Look at the Training Needs Analysis 00:30:00 Collecting Data 00:30:00 Diving Deeper Into the Data 00:30:00 Creating the Report 00:15:00 Module - 4 Course Overview 00:15:00 Five Strategies for Stickiness! 00:15:00 Designing a Program That Will Stick 00:15:00 Teaching Tips and Tricks 00:15:00 What Method is the Stickiest? 00:05:00 Following Up 00:15:00 Strategies for Taking Training Further 00:15:00 Module - 5 Course Overview 00:15:00 Setting the Framework 00:30:00 Kirkpatrick's Evaluation Model 00:45:00 The Return on Investment 00:45:00 Presenting Training Results 00:30:00 Module - 6 Course Overview 00:05:00 How Storytelling Can Boost Your Training Power 00:30:00 The Elements of a Powerful Story 00:45:00 Storyboarding Techniques 00:30:00 Bringing the Story to Life 00:30:00 Tools and Technology 00:15:00 Module - 7 Course Overview 00:15:00 Let's Have Some Fun! 00:15:00 Getting Everyone on Board 00:15:00 Choosing the Right Game 00:30:00 When Games Go Badly 00:15:00 Using Humor in Training 00:15:00 Wavy Lines 00:15:00 Quick and Easy Games 00:30:00 Creating a Game 00:15:00 Mock Exam Mock Exam- Complete Trainer Training Course 00:30:00 Final Exam Final Exam- Complete Trainer Training Course 00:30:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00