1073 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 covers the complete AWS Application Stacks using Cloud Development Kit. Learn to deploy simple-to-complex resources in AWS using CDK and launch several stacks and templates. This course assumes you know how to use the AWS Cloud. It will help you transform your solution architecting skills into CDK Stack.

Microsoft Outlook is a program which allows creating and exchanging emails in a messaging format. The 2016 version contains new features which make the prospects of using this program more exciting. Microsoft Outlook 2016 Beginner to Advanced course will help students to get accustomed to the improved interface and familiarize with the functionality of the program. The course starts off with basics like creating emails, formatting, email attachments and working with them, managing responses using tags, flags, etc. As you move up, you will learn about the advanced features like inserting characters and objects, modifying message settings, filter, sort, organize, manage calendar settings, assign and manage tasks, advanced contact management, sharing workspaces, outlook data files and finally email security. Learning Outcomes: Navigate throughout the Outlook user interface and learn to perform basic email functions and utilize help Composing emails, grammar and spell checks, formatting content, attaching files, enhancing messages and managing automatic message responses Customize reading options, work with attachments and manage message responses Managing and organization of messages with the help of tags, flags, other commands and folders Using calendar options to manage appointments and meetings Using People workspace to create, update, view and organise contacts Managing tasks and notes Creating and managing Quick Steps, and customizing the interface according to needs Change message settings, properties, options, using automatic replies and inserting objects Sort and filter options, organising and searching messages, managing junk mail and mailbox Managing advanced calendar options, additional calendars, meeting responses, and assigning tasks Advanced, forward and export contact options, handling contacts and editing electronic business cards Sharing calendars and contacts whilst also delegating access to mail folders to others Modifying data file settings and backing up Outlook items Email security and configuring email message security 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 Outlook 2016 Beginner to Advanced 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 Outlook 2016 Beginner to Advanced 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 Navigate the Outlook Interface 00:15:00 ACTIVITY - NAVIGATING THE OUTLOOK INTERFACE 00:05:00 Perform Basic E-mail Functions 00:30:00 ACTIVITY - PERFORMING BASIC E-MAIL FUNCTIONS 00:05:00 Use Outlook Help 00:15:00 ACTIVITY - GETTING HELP IN MICROSOFT OUTLOOK 2016 00:05:00 Create an E-mail Message 00:15:00 ACTIVITY - CREATING AN E-MAIL MESSAGE 00:05:00 Check Spelling and Grammar 00:15:00 ACTIVITY - CHECK SPELLING AND GRAMMAR 00:05:00 Format Message Content 00:15:00 ACTIVITY - FORMAT MESSAGE CONTENT 00:05:00 Attach Files and Items 00:15:00 ACTIVITY - ATTACHING A FILE TO A MESSAGE 00:05:00 Enhance an E-mail Message 00:30:00 ACTIVITY - ENHANCING AN E-MAIL MESSAGE 00:05:00 Manage Automatic Message Content 00:15:00 ACTIVITY - MANAGING AUTOMATIC MESSAGE CONTENT 00:05:00 Customize Reading Options 00:15:00 ACTIVITY - CUSTOMIZING READING OPTIONS 00:05:00 Work with Attachments 00:15:00 ACTIVITY - WORKING WITH ATTACHMENTS 00:05:00 Manage Your Message Responses 00:15:00 ACTIVITY - MANAGING YOUR MESSAGE RESPONSES 00:05:00 Manage Messages Using Tags, Flags, and Other Commands 00:15:00 ACTIVITY - MANAGING MESSAGES USING TAGS, FLAGS AND OTHER COMMANDS 00:05:00 Organize Messages Using Folders 00:15:00 ACTIVITY - ORGANIZING MESSAGES USING FOLDERS 00:04:00 View the Calendar 00:15:00 ACTIVITY - CUSTOMIZING YOUR CALENDAR VIEW 00:05:00 Manage Appointments 00:15:00 ACTIVITY - MANAGING APPOINTMENTS 00:05:00 Manage Meetings 00:30:00 ACTIVITY - CREATING AND MANAGING MEETINGS 00:05:00 Print Your Calendar 00:15:00 ACTIVITY - PRINTING YOUR CALENDAR 00:05:00 Create and Update Contacts 00:15:00 ACTIVITY - CREATING AND UPDATING CONTACTS 00:05:00 View and Organize Contacts 00:15:00 ACTIVITY - VIEW AND ORGANIZE CONTACTS 00:05:00 Create Tasks 00:15:00 ACTIVITY - CREATING TASKS 00:05:00 Manage Tasks 00:15:00 ACTIVITY - MANAGING TASKS 00:05:00 Manage Notes 00:15:00 ACTIVITY - CREATING AND MANAGING NOTES 00:05:00 Customize the Outlook Interface 00:30:00 ACTIVITY - CUSTOMIZING THE OUTLOOK INTERFACE 00:05:00 Create and Manage Quick Steps 00:15:00 ACTIVITY - CREATING AND MANAGING QUICK STEPS 00:05:00 Module : 2 Insert Advanced Characters and Objects 01:30:00 Modify Message Settings, Properties, and Options 01:30:00 Use Automatic Replies 01:30:00 Sort Messages 00:45:00 Filter Messages 01:00:00 Organize Messages 02:00:00 Search Messages 01:30:00 Manage Junk Mail 01:00:00 Manage Your Mailbox 02:00:00 Manage Advanced Calendar Options 00:45:00 Manage Additional Calendars 01:00:00 Manage Meeting Responses 00:45:00 Assign and Manage Tasks 01:00:00 Edit an Electronic Business Card 01:00:00 Manage Advanced Contact Options 01:30:00 Forward Contacts 00:30:00 Export Contacts 01:00:00 Delegate Access to Mail Folders 01:00:00 Share Your Calendar 00:30:00 Share Your Contacts 00:15:00 Back Up Outlook Items 00:45:00 Configure E-mail Message Security Settings 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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Feeling Stuck in Your Career? The Supply Chain Management, Purchasing, Logistics Management & Retail Management - 30 in 1!Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Supply Chain Management: Logistics & Retail Management bundle provides an engaging learning experience, helping you learn skills across various disciplines. With the Supply Chain Management, Purchasing, Logistics management & Retail Management - 30 in 1!Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Supply Chain Management: Logistics & Retail Management bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Supply Chain Management: Logistics & Retail Management bundle on your job life and career growth! This Supply Chain Management, Purchasing, Logistics Management & Retail Management - 30 in 1!Bundle Comprises the Following CPD Accredited Courses: Course 01: Supply Chain Management Course 02: Certificate in Purchasing and Procurement Course 03: Purchase Ledger Course 04: Operations Management: Process Mapping & Supply Chain Course 05: Supply Chain Management for Different Retail Formats Course 06: Import/Export Course 07: Logistic Management Course 08: Transport Planner Course Course 09: Port Management Diploma Course 10: Commercial law Course 11: Warehouse Clerk Course 12: Warehouse Safety Manager Course 13: Inventory Controller Course 14: Diploma in Lean Process and Six Sigma Course 15: Organisation & People Management Course 16: Retail Management Course 17: Retail Psychology Course 18: Merchandising Course 19: Visual Merchandising Diploma Course 20: Product Management Course 21: Quality Management Course 22: Level 3 Ecommerce Management Course 23: Customer Relationship Management Course 24: SAP Controlling (CO) - Product Costing S4HANA Course 25: Career Development Plan Fundamentals Course 26: CV Writing and Job Searching Course 27: Learn to Level Up Your Leadership Course 28: Networking Skills for Personal Success Course 29: Ace Your Presentations: Public Speaking Masterclass Course 30: Learn to Make a Fresh Start in Your Life What will make you stand out? Upon completing this online Supply Chain Management, Purchasing, Logistics Management & Retail Management - 30 in 1!Bundle, you will gain the following: CPD QS Accredited Proficiency with this Supply Chain Management: Logistics & Retail Management bundle After successfully completing the Supply Chain Management: Logistics & Retail Management bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Supply Chain Management: Logistics & Retail Management bundle The online test with immediate results You can study and complete the Supply Chain Management: Logistics & Retail Management bundle at your own pace. Study for the Supply Chain Management: Logistics & Retail Management bundle using any internet-connected device, such as a computer, tablet, or mobile device. The Supply Chain Management, Purchasing, Logistics Management & Retail Management - 30 in 1!bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Supply Chain Management : Logistics & Retail Management bundle, a comprehensive, complete collection of 30 courses. Each course in the Supply Chain Management : Logistics & Retail Management bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Supply Chain Management: Logistics & Retail Management bundle offers the flexibility and convenience to learn at your own pace. Make the Supply Chain Management: Logistics & Retail Management package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Supply Chain Management, Purchasing, Logistics Management & Retail Management - 30 in 1!bundle is perfect for: Expand your knowledge and skillset for a fulfilling career with the Supply Chain Management: Logistics & Retail Management bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Supply Chain Management: Logistics & Retail Management bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Supply Chain Management: Logistics & Retail Management bundle. Learn on your schedule, in the comfort of your home - the Supply Chain Management: Logistics & Retail Management bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those who are aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Supply Chain Management, Purchasing, Logistics Management & Retail Management - 30 in 1!bundle. Certificates CPD Certificates Digital certificate - Included

Description The core of the SEO Longtail Pro Training course is to help you become successful with SEO and ranking in Google. Taking this course will assist you to learn the principles and strategies that have been practiced to locate 1000's of long tail keywords, and understand how that promoted to take place on the top raking list in Google search. In this course, you will learn everything that requires to improve SEO, ranking for both short and long tail keywords, and experience every ins and outs of Long Tail Pro. Master keyword research with this exciting course and grab the opportunity to earn profits from organic search engine traffic. So, without any further ado, enroll now and begin accompanying on a path that certainly benefits you in the long run. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. 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? SEO Longtail Pro Training 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 SEO Longtail Pro Training 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: 01 1. Promo FREE 00:01:00 2. Introduction 00:02:00 3. Difference Between Short & Longtail Keywords 00:06:00 4. What Are Local Keywords 00:02:00 5. Research vs Buyer Keywords 00:06:00 Module: 02 6. Sign Up for LongTailPro 00:03:00 7. Welcome to LTP 00:06:00 8. LongTail Pro Keyword Research 00:10:00 9. KC Score Explanation 00:06:00 10. Quick Add & Export 00:01:00 Module: 03 11. Data Fetching Speed Settings 00:02:00 12. Rank Checker in LTP 00:02:00 13. Online Version of LongTail Pro 00:07:00 14. Mouse Recorder 00:04:00 15. How to Deliver Keyword Research as a Freelancer 00:10:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This 3 day Tableau Desktop Advanced Training course is designed for professionals who have been working with Tableau for some time and are looking to dive deeper and learn analytical use cases that utilise Tableaus advanced features. It is also a perfect refresher course if you want to upgrade your skills to the latest features. Public Course Options EXTEND YOUR KNOWLEDGE OF TABLEAU IN THIS HANDS-ON COURSE TRAINING £1,200 per person + VAT 3 Day live virtual course 12 Months access to online course This 3 day Tableau Desktop Advanced Training course is designed for the professional who has been working with Tableau for some time and is looking to dive deeper. You will review all calculation types and apply Table Calculations and Level of Detail Expressions in multiple use cases. You will also learn advanced techniques for analysing time series data, cohorts and survey data. You will learn advanced mapping and dashboard techniques to help improve the insights gained for your target audience. You will be introduced to the latest features together with practical use cases for getting the most benefit from them. Attendees should have a deep understanding of the fundamental concepts of building Tableau worksheets and dashboards and be comfortable with the techniques learnt in the Foundation and Analyst courses. At the end of this course you will be able to apply and combine some of the more complex capabilities and techniques that Tableau has to offer. In addition to our regular 2 day syllabus we have added an additional day so that we can add learning for many new features introduced into Tableau over the last couple of years. Live Coaching and Q&A Access In addition to the 3 day live and interactive course, delegates also receive 6 weeks live access to our Coaching and Q&A calls that take place 3 times each week. Delegates have found these to be highly beneficial to enhance their learning experience as well as assisting with applying the learning from the course to practical working deliverables on their own data. The course includes the following topics: RECAP: CALCULATIONS Review of Number Functions Review of String Functions Review of Date Functions Review of Type Conversions Review of Logical Functions Review of Aggregate Functions Alternatives to Calculations 2 Hands-on exercises GETTING THE MOST FROM TABLE CALCULATIONS What are and when to use Table Calculations What Table Calculation Types are there? Defining the Scope and Direction of calculations Using Table Calculations in Calculated Fields How do Filters work with Table Calculations? 7 Hands-on exercises LODS - LEVEL OF DETAIL EXPRESSIONS Overview FIXED LOD How do Filters work with LODs? INCLUDE LOD EXCLUDE LOD Nesting LODs Comparing the various Calculation Types 5 Hands-on exercises ADVANCED TECHNIQUES FOR ANALYSING TIME-BASED DATA Creating Sparklines Creating Slope Charts Creating Control Charts Creating Bump Charts 4 Hands-on exercises ANALYSING BEHAVIOURS IN DATA Creating Cohort Analysis Analysing Survey Data 2 Hands-on exercises ADVANCED TECHNIQUES FOR MAPPING Mapping Distance from a point Normalising map areas with Hexbins Combining Spatial & Data Files 3 Hands-on exercises ADVANCED CONSIDERATIONS FOR DASHBOARDS Identifying your Audience Using Containers and Layout Considerations for Dashboard Elements Sheet swapping Adding Dashboard Actions to Context 2 Hands-on exercises In addition to the regular syllabus we will also cover the following New Features : Viz in Tooltips Set Actions Parameter Actions Show/Hide Containers Animations Dashboard Navigation Button Replace Worksheet in a Dashboard (DB) Show/Hide Sort Controls Vector Maps Customisable reference line tooltips Automatic dashboard phone layouts Export to PowerPoint Transparent worksheet backgrounds Density Mark Type (New Heatmap) Dashboard Extensions Step and Jump Lines Dashboard Grids Nested sorting improvements Ask Data Explain Data Spatial Calculations Negative values on log axis Additional clustering functionality Enhanced cross-database join control This training course includes over 35 hands-on exercises and quizzes to help participants “learn by doing” and to assist group discussions around real-life use cases. A comprehensive training manual is provided together with all the data, starter and solution Tableau Workbooks required for the training.  Students must use their own laptop with an active version of Tableau Desktop 2020.1 (or later) pre-installed. What People Are Saying About This Course "Course was fantastic and completely relevant to the work I am doing with Tableau. I particularly liked Steve's method of teaching and how he applied the course material to 'real-life' use-cases."Richard W., Dashboard Consulting Ltd "This course was extremely useful and excellent value. It helped me formalise my learning and I have taken a lot of useful tips away which will help me in everyday work."Lauren M., Baillie Gifford "I would definitely recommend taking this course if you have a working knowledge of Tableau. Even the little tips Steve explains will make using Tableau a lot easier. Looking forward to putting what I've learned into practice."Aron F., Grove & Dean "Steve is an excellent teacher and has a vast knowledge of Tableau. I learned a huge amount over the two days that I can immediately apply at work."John B., Mporium

Master the art of project planning, scheduling, and resource management with Oracle Primavera P6 PPM Professional. The course offers a streamlined approach to efficiently manage projects and includes workshops for intermediate-level users to apply their knowledge in practice.

Get ready for an exceptional online learning experience with the Procurement, Product Management, Quality and Retail Management & Commercial Law bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Procurement & Product Management package is dynamic, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Procurement & Product Management package has something for everyone. As part of the Procurement & Product Management, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Procurement, Product Management, Quality and Retail Management & Commercial Law bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following Procurement, Product Management, Quality and Retail Management & Commercial Law CPD-accredited courses: Course 01: Certificate in Purchasing and Procurement Course 02: Product Management Course 03: Quality Management Course 04: Anti Money Laundering (AML) Level 3 Training Course 05: Commercial law Course 06: CSR Policies & Supply Chain Management Course 07: Cost Control & Project Scheduling Course 08: Purchase Ledger Course 09: Retail Management Course 10: SAP Controlling (CO) - Product Costing S4HANA Course 11: Logistic Management Course 12: Import/Export Course 13: Warehouse Safety Course 14: Transport Manager Course 15: Business Plan for Entrepreneurs Course 16: Career Development Plan Fundamentals Course 17: CV Writing and Job Searching Course 18: Learn to Level Up Your Leadership Course 19: Networking Skills for Personal Success Course 20: Ace Your Presentations: Public Speaking Masterclass What will make you stand out? Upon completion of this online Procurement, Product Management, Quality and Retail Management & Commercial Law bundle, you will gain the following: CPD QS Accredited Proficiency with this Procurement & Product Management bundle After successfully completing the Procurement & Product Management bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials in this Procurement & Product Management bundle The online test with immediate results You can study and complete the Procurement & Product Management bundle at your own pace. Study for the Procurement & Product Management bundle using any internet-connected device, such as a computer, tablet, or mobile device. Each course in this Procurement, Product Management, Quality and Retail Management & Commercial Law bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Procurement & Product Management bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with Procurement, Product Management, Quality and Retail Management & Commercial Law, a rich anthology of 30 diverse courses. Our experts handpick each course in the Procurement & Product Management bundle to ensure a wide spectrum of learning opportunities. This Procurement & Product Management bundle will take you on a unique and enriching educational journey. The Procurement, Product Management, Quality and Retail Management & Commercial Law bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Procurement & Product Management bundle offers you the flexibility and convenience to learn at your own pace. Make the Procurement & Product Management package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Procurement, Product Management, Quality and Retail Management & Commercial Law bundle is perfect for: Individuals interested in supply chain management: This course is ideal for those looking to understand the intricacies of procurement, product management, and retail operations within the supply chain. Aspiring product managers: Those who aim to manage product lifecycles, from conception through to delivery and beyond, will find this course invaluable. Quality assurance professionals: The course caters to individuals aspiring to uphold and enhance quality standards in manufacturing, production, or service delivery. Legal professionals focusing on commercial law: Those looking to specialise in legal aspects of commercial operations and business transactions can benefit from this course. Retail management aspirants: Anyone interested in managing retail operations, including store management, merchandising, and customer service, will gain substantial insights. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon Procurement, Product Management, Quality and Retail Management & Commercial Law course completion, you can expect to: Procurement Manager Product Manager Quality Control Analyst Retail Manager Commercial Lawyer Supply Chain Coordinator Product Development Manager Quality Assurance Manager Merchandise Planner Compliance Officer Certificates CPD Certificates Digital certificate - Included

Duration 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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.