793 Courses in Cardiff delivered On Demand

This Adobe Photoshop CC Introduction is designed to introduce you to the Photoshop environment and some of the basic skills you will need to be able to do anything you want to do with Photoshop. You will explore a collection of tools that will get you started with your photo correction and editing. Although you will not use these tools on every picture, these will be the ones you turn to most often. You will be able to use various techniques for selecting in order to edit and retouch images. Learn to prepare images for including in a web site or for including in printed documents. Learn to edit images using the painting tools, clone stamp and drawing tools. Learn to create new images using the pen tool and the drawing and painting tools. You will be able to create and edit images using layers. On completion this course you will understand how to print, convert color modes, and export to other file types. What Will I Learn? Get an Introduction to the Photoshop Environment Customize the Workspace Work with Layers Understand Selections Understand and Use Color Use Adjustment Layers Crop Images Move and Transform Pixels Add Text and Text Styles Apply Special Effects Export from Photoshop Requirements Basic Computer Skills Who is the target audience? Students who want to be introduced to Photoshop, a robust photo editing program. Introduction Introduction FREE 00:03:00 Introduction to Photoshop Introduction to Photoshop 00:05:00 Understanding Types of Documents 00:04:00 Understanding Resolution 00:04:00 Creating New Documents 00:06:00 Using Artboards 00:05:00 Using CC Templates 00:03:00 Utilizing the Search Feature 00:02:00 Customizing the Workspace Using Workspace Presets 00:02:00 Moving, Closing, and Opening Panels 00:06:00 Understanding Document Views 00:06:00 Using the History Panel 00:06:00 Working with Layers Why Layers 00:02:00 Using Layers 00:07:00 Creating Fill Layers 00:05:00 Applying Blending Modes 00:04:00 Using Layer Styles 00:05:00 Discovering the Properties Panel 00:08:00 Understanding Selections Creating Basic Selections 00:09:00 Using the Lasso Tools 00:08:00 Understanding the Quick Select Tools 00:07:00 Editing the Quick Mask 00:04:00 Saving Selections 00:04:00 Moving Selections to Layers.mp 00:03:00 Understanding and Using Color Understanding Color Modes 00:10:00 Creating Swatches 00:06:00 Using Masks and Advanced Layers Applying Layer Masks 00:04:00 Deleting Layer Masks 00:01:00 Organizing Layers 00:03:00 Merging Layers 00:02:00 Flattening Layers 00:02:00 Working with Layer Comps 00:06:00 Using Adjustment Layers Using Image Adjustments 00:07:00 Understanding Adjustment Layers 00:10:00 Using Layer Masks with Adjustment Layers 00:03:00 Cropping Images Using the Crop Tool 00:05:00 Using the Crop Tool to Add Canvas 00:02:00 Moving and Transforming Pixels Using Free Transform 00:04:00 Working with Other Transform Options 00:03:00 Flipping Pixels 00:01:00 Adding Text and Text Styles Using the Type Tool 00:10:00 Discovering Typesetting 00:08:00 Formatting Text 00:09:00 Creating Type on a Path 00:03:00 Warping Type 00:03:00 Using Styles on Type 00:08:00 Applying Special Effects Using Layer Styles 00:05:00 Working with Patterns 00:03:00 Applying Filters 00:04:00 Creating Pixels with Filters 00:06:00 Exporting from Photoshop Printing in Photoshop 00:03:00 Converting to CMYK 00:04:00 Converting to Other File Types 00:13:00 Using File Info 00:09:00 Conclusion Course Recap 00:03:00 Resources Resources - Adobe Photoshop CC Introduction 00:00:00 Course Certification

The PCB Design with EasyEDA course offers a comprehensive introduction to the world of printed circuit board (PCB) design. Participants will learn about single-sided and double-sided PCB design, utilizing PCB design tools effectively, and creating custom parts in EasyEDA. The course is designed to equip learners with practical skills in PCB design. Learning Outcomes: Understand the fundamentals of PCB design and its applications. Learn the process of designing single-sided PCBs using EasyEDA. Explore PCB design tools and their functionalities for efficient design. Master the techniques of double-sided PCB design for more complex projects. Develop the skills to create custom components and parts in EasyEDA. Gain insights into various strategies to enhance PCB design efficiency. Apply acquired knowledge to practical projects through hands-on exercises. Explore additional topics and advanced concepts based on student requests. Why buy this PCB Design with EasyEDA? 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 PCB Design with EasyEDA 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 course for? Electronics enthusiasts and hobbyists looking to learn PCB design. Engineering students aiming to develop practical skills in electronics design. Electronics professionals seeking to enhance their PCB design capabilities. Engineers and technicians involved in electronics product development. Prerequisites This PCB Design with EasyEDA does not require you to have any prior qualifications or experience. You can just enrol and start learning.This PCB Design with EasyEDA 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 PCB Designer: Create and optimize PCB layouts for various electronic devices. Electronics Engineer: Design, develop, and test electronic circuits and systems. Hardware Engineer: Develop and integrate hardware components for electronic products. Product Designer: Incorporate PCB design skills to create innovative electronic products. Electronics Technician: Assist in assembling and testing electronic systems and devices. Course Curriculum Unit 01: Introduction to PCB Designc Module 01: Introduction 00:02:00 Unit 02: Single Sided PCB Design Module 01: About taking this course 00:05:00 Module 02: Creating Schematic with easyEDA 00:20:00 Module 03: Layout and Artwork 00:17:00 Module 04: Transistorized PCB Project 00:16:00 Module 05: PCB Export PDF for Hand make PCB's 00:02:00 Module 06: 555 based PCB Project 00:20:00 Unit 03: PCB Design tools Module 01: Adding Ground Plane 00:07:00 Module 02: Placing Jumper 00:03:00 Module 03: Export PCB for hand making 00:02:00 Unit 04: Double Sided PCB Design Module 01: Introduction to Double Sided PCB Design 00:01:00 Module 02: First Double Sided PCB Project 00:11:00 Module 03: Understanding SMT Components 00:09:00 Module 04: Double Sided PCB with SMT components 00:17:00 Module 05: Exporting Gerber File 00:04:00 Unit 05: Creating Custom Part in easyEDA Module 01: Creating Custom Part in easyEDA 00:18:00 Unit 06: Conclusion Module 01: Changes in EasyEDA 00:04:00 Module 02: Concluding Remarks 00:02:00 Unit 07: Additions on Student Request Module 01: Add copper fill / copper section to PCB 00:01:00 Module 02: Checking parameters while Ordering PCBs 00:10:00 Resources Resources - PCB Design with EasyEDA 00:00:00 Assignment Assignment - PCB Design with EasyEDA 00:00:00

Overview of Teaching Assistant Level 3 Video content is booming. With easy access to smartphones, everyone can be a videographer today. However, editing videos that captivate audiences requires skills. This Editing on CapCut – A Crash Course teaches you professional editing techniques using CapCut to create stunning videos for social media and online platforms. Learn industry best practices from an experienced instructor. Unleash your creativity and find opportunities as a video creator, editor or influencer. Export high-quality videos after Editing. Employ advanced techniques to edit videos creatively. This Editing on CapCut - A Crash Course will help you to learn: Edit videos using CapCut software tools. Arrange clips and add visual effects in videos. Sync motions to audio using keyframes in CapCut. Generate automatic captions for videos. Insert music and sound effects into videos skillfully. Export high-quality videos after Editing. Employ advanced techniques to edit videos creatively. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Editing on CapCut – A Crash Course. 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 Editing on CapCut – A Crash Course 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? Aspiring video editors and content creators. Social media influencers and marketers want to create engaging videos. Small business owners looking to promote their brand through videos. Students interested in video production and Editing. Requirements There is no prerequisite to enrol in this course. You don’t need any educational qualification or experience to enrol in the Editing on CapCut – A Crash Course 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 Video Editor - £18K to £35K per year Social Media Manager - £21K to £45K per year Digital Marketer - £19K to £50K per year Content Creator - £15K to £40K per year Videographer - £20K to £50K per year

Give a compliment to your career and take it to the next level. This Tax bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Tax bundle will help you stay ahead of the pack. Throughout the Tax programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Tax course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Tax Bundle Consists of the following Premium courses: Course 01: Level 3 Tax Accounting Course 02: Payroll Management Course Course 03: Pension UK Course 04: Diploma in Accounting and Bookkeeping Course 05: Level 3 Xero Training Course 06: Sage 50 Training Course 07: Professional Personal Finance Course Course 08: Commercial Law 2021 Course 09: Financial Investigator Course 10: Internal Audit Training Diploma Course 11: Business Analysis Level 3 Course 12: Fraud Management & Anti Money Laundering Awareness Complete Diploma Course 13: GDPR Data Protection Level 5 Course 14: Data Analysis in Microsoft Excel Complete Training Enrol now in Tax to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Tax expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Curriculum of Tax Bundle Course 01: Level 3 Tax Accounting Module 01: Tax System and Administration in the UK Module 02: Tax on Individuals Module 03: National Insurance Module 04: How to Submit a Self-Assessment Tax Return Module 05: Fundamentals of Income Tax Module 06: Advanced Income Tax Module 07: Payee, Payroll and Wages Module 08: Capital Gain Module 09: Value Added Tax Module 10: Import and Export Module 11: Corporation Module 12: Inheritance Module 13: Double Entry Accounting Module 14: Management Accounting and Financial Analysis Module 15: Career as a Tax Accountant in the UK And much more ... How will I get my Certificate? After successfully completing this course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this premium bundle. Requirements This course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

Data speaks volumes—if you know how to listen. This course offers a clever route into the world of MySQL, showing you how structured data can turn into smart decisions. Whether you're sifting through figures, building dashboards, or deciphering patterns, understanding SQL isn’t just helpful—it’s essential. You’ll be guided through the foundations of MySQL with clarity and precision, making sense of tables, queries, joins, and more—all without the fluff or confusion. Designed with the analytical mind in focus, this course shines a light on how MySQL powers insights behind the scenes in data science and analytics. It's tailored for learners who prefer clarity over jargon and structure over noise. If you're curious about how databases work and how data fuels smart outcomes, this course is your ideal stepping stone—organised, engaging and purposefully built for those who appreciate logic and clean learning paths. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Section 01: Getting Started Introduction How to get course requirements Getting started on Windows, Linux or Mac How to ask great questions FAQ's What is Source Code? Section 02: SQL Server setting up Section Introduction MySQL Server Installation Connect MySQL Server Instance MySQL Workbench overview Download and Restore Sample Database Section 03: SQL Database basics Section Introduction Overview of Databases Creating Database SQL Data Types Column Data Types on Workbench Creating Table Overview of Primary and Foreign Key Primary Key Foreign Key Creating Temporary tables EER - Enhanced Entity Relationship Diagrams Section 04: SQL DML (Data Manipulation Language) Section Introduction Insert statement Update statement Delete statement Section 05: SQL DDL (Data Definition Language) Section Introduction CREATE table statement DROP statement ALTER statement TRUNCATE statement COMMENT in query RENAME table Section 06: SQL DCL (Data Control Language) Create Database user GRANT permissions REVOKE permissions Section 07: SQL Statement Basic Section Introduction SQL Statement basic SELECT Statement SELECT DISTINCT SELECT with column headings Column AS statement DASHBOARD Analytics Section 08: Filtering Data rows SELECT WHERE Clause - theory SELECT WHERE Clause - practical Section 09: Aggregate functions for Data Analysis Sum() Min()-Max() Section 10: SQL Data Analyticstatements Order By statement SELECT TOP 3 records BETWEEN command IN operator Search Data usingLIKE cards Section 11: SQL Group by statement Section Introduction Group by - theory Data Analytics with Group By HAVING statement Section 12: JOINS Overview of Joins What are Joins Inner join Left outer join Right outer join Union CERTESIAN Product or Cross Join Query Exercise Solution for Query Exercise Section 13: SQL Constraints Section introduction Check constraint NOT NULL constraint UNIQUE constraint Section 14: Views Creating Views Data Analytic Viewsfrom multiple tables Section 15: Advanced SQL Functions Section Introduction Timestamp Extract from timestamp Mathematical scalar functions String functions Advanced functions Sub Queries SELECT with calculations Section 16: SQL Stored procedures Create stored procedure Stored procedure with parameter Drop Procedure Section 17: Import & Export data Section Introduction Import .csv file Export Data to .csv file Section 18: Backup and Restore Database Section Introduction Creating Database backup Restoring Database backup Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn MySQL from Scratch for Data Science and Analytics course is open to all, with no formal entry requirements. Career path Upon successful completion of The Learn MySQL from Scratch for Data Science and Analytics Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00

Give a compliment to your career and take it to the next level. This Sports Nutrition, Sports Injuries & Physiotherapy Diploma - CPD Certified bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop Sports Nutrition skills for your next job or elevate your skills for your next promotion, this Sports Nutrition bundle will help you stay ahead of the pack. Along with this Sports Nutrition course, you will get 14 premium courses, an original hardcopy, 14 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Sports Nutrition Bundle Consists of the following Premium courses: Course 01: Sports Nutrition Training Level 3 Course 02: Nutrition and Hydration Course 03: Immunity Boosting Food Course 04: Diet and Nutrition Complete Food Composition Diploma Course 05: Nutrition and Health Level 2 Course 06: Juicing Course 07: Juicing and Blending Course Course 08: Food Allergen Awareness Course 09: Ketogenic Diet Course 10: Weight Loss - Intermittent Fasting Course 11: Ketogenic Diet: Lose Weight & Feel Amazing Course 12: Vegan (Vegetarian) Diet Course 13: Food and Mood: Improving Mental Health Through Diet and Nutrition Course 14: Food Hygiene and Safety Level 2 Key features of this Sports Nutrition course: This Sports Nutrition bundle is CPD QS Accredited Learn Sports Nutrition from anywhere in the world Import/Export is entirely online, interactive lesson with voiceover audio Lifetime access to the Sports Nutrition course materials 24/7 Learner support The Sports Nutrition Diploma incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Sports Nutrition expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn Sports Nutrition Diploma from any place in your own time without travelling for classes. Certificates after completion of Sports Nutrition Diploma: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Sports Nutrition Training Level 3: Previously it was £10) CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Sports Nutrition Diploma is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This Sports Nutrition Diploma course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. Requirements Our Sports Nutrition Diploma is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This Sports Nutrition Diploma course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. Career path Having these Sports Nutrition Diploma various CPD certificate will increase the value in your CV and open you up to multiple sectors. Certificates Certificate of completion Digital certificate - Included

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

The 'Microsoft Access Tables and Queries' course provides in-depth training on working with tables and queries in Microsoft Access. Participants will learn to create and edit tables in Design view, utilize the lookup wizard, import and link data from external sources, and export data to different formats. The course also covers creating and managing table relationships, using basic and calculated queries, utilizing query wizards, and performing advanced query operations like subqueries and Make Table, Append, Update, and Delete queries. Learning Outcomes: Navigate and understand the Microsoft Access interface for creating and managing tables and queries effectively. Create and edit tables using Design view and employ the lookup wizard to enhance data entry and accuracy. Import data from various external sources and link tables to access data from other data repositories. Export data from Access to different file formats for sharing and analysis. Establish and manage table relationships to ensure data integrity and smooth database operations. Utilize sorting and filtering techniques to organize and retrieve specific data from tables. Create basic queries to extract, filter, and sort data based on specific criteria. Prompt users for criteria in queries to provide dynamic and customized data retrieval. Create calculated fields in queries to perform mathematical or logical operations on data. Build Totals queries to summarize data and compute aggregate functions. Learn to work with multiple tables in queries, performing complex data retrieval and analysis. View and understand the SQL code behind Access queries for advanced customization. Utilize query wizards to create specialized queries efficiently. Implement subqueries for nested data retrieval and advanced filtering. Create Make Table, Append, Update, and Delete queries to modify and manage data efficiently. Use techniques to limit the number of records displayed in query results, enhancing data visibility and analysis. Why buy this Microsoft Access Tables and Queries? 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 Microsoft Access Tables and Queries 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 course for? This Microsoft Access Tables and Queries course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Microsoft Access Tables and Queries does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Access Tables and Queries 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Microsoft Access Tables and Queries is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Microsoft Access Tables and Queries Tour of the screen 00:11:00 Using Design view to create and edit tables 00:45:00 Using the lookup wizard 00:09:00 Importing data from Other Data Sources into Access 00:18:00 Linking Tables from Other data Sources into Access 00:10:00 Exporting data from Access to other data types 00:03:00 Creating and Managing Table Relationships 00:10:00 Database Tools 00:05:00 Sort and Filter a Table 00:06:00 Basic Queries 00:22:00 Prompting the user for the criteria 00:05:00 Creating Calculated Fields in a Query 00:10:00 Creating Totals Queries 00:08:00 Multiple table Queries 00:12:00 Viewing the SQL code for an Access Query 00:06:00 Using the Query Wizards 00:09:00 Creating Subqueries 00:03:00 Creating Make Table, Append, Update and Delete Queries 00:19:00 Displaying a certain number of records 00:01:00 Assignment Assignment - Microsoft Access Tables and Queries 00:00:00

Level 5 - Two Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access