1047 Courses in Cardiff delivered Online

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

About this Training Course The Oil & Gas E&P industry is evolving from deep sea exploration to renewable sources of energy through windfarms and solar fields offshore. In tandem, OSBs will need to evolve for sustainability and revival from stagnant traditional Supply Base Models. The changing role of OSBs is toward support services for decommissioning projects and LNG Floating Terminals. In addition, the new geographical regions of East and South Africa are coming up at a faster pace. All such operations are dependent upon a complex network of transport and supply in order to deliver the staff, materials, machinery, and crew provisions where and when needed. This 3 full-day course is curated to enhance the skills and competencies of passionate professionals to plan and organise resources, minimise turnaround time for the vessels engaged in support of Offshore E & P operations. Various hands-on exercises can equip the participants to implement viable and feasible approaches for safe and efficient management of OSBs in compliance with continuously evolving international best practices and Oil & Gas standards. This course is specially developed for investors, business owners, senior executives and professionals from the offshore & marine logistics industry, with the following objectives: To provide a firm understanding about the role of an Offshore & Marine Supply Base in support of Oil & Gas E & P fleet operations, in contrast with traditional merchant shipping logistics. To provide an in-depth knowledge about the range and diversity of services being offered by Offshore & Marine Supply Bases ('OSB') in the target regions. To equip with the knowledge and information required for taking investment decisions when venturing in Offshore E & P Sector. To introduce contemporary techniques and tools required to identify target customer segments while developing a new OSB or expanding operations of an existing OSB. To elaborate comparative management methodologies for OSB facilities and services management, based on deployment of ICT solutions so as to deliver value added services to the customers. To learn to identify methodologies for sales and distribution of services to the customers and non-paying users of the OSB. To identify relevant state legislation for licensing & governing an OSB, and enforce through contractual obligations, rights and responsibilities of the parties as clients of an OSB. To develop and implement Business Processes with built-in Performance Evaluation Metrics for achieving competitive advantage over the peers in the OSB segment. To develop and implement integrated OSB's Risk Management framework. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completion of this course, the participants will be able to: Implement and comply with the QHSSSE regulations and national or Port Controls regime for safe handling of import & export cargo and movements of the vessels. Establish role and responsibilities of the Offshore Supply Base management team. Plan and organise resources so as to minimise turnaround time for the vessels engaged in support of Offshore E & P and Windfarms operations. Plan and organise OSB cranes, vehicles, MHE, spaces and relevant facilities for storage, movement, and custody transfer of various types of solid and liquid cargo, tools, shackles, bulk materials in open yards and ships' gears. Be aware of potential emergency situations and how to respond and coordinate with relevant internal and external agencies. Manage safety of personnel of sub-contractors, stevedores', tenants, and ship crew, when engaged in OSB operations. Differentiate between various ships, technical and functional characteristics, safety requirements and potential hazards of each operation. Build competency in developing and maintaining documentary evidence for traceability for all works executed during the specific period or operation. Develop techniques for performance monitoring and continuous improvements based on lessons learned from each operation at the Base as well as from reports about peers in the similar business. Target Audience This course is intended for: Operations Management personnel from existing OSBs, Ports, Logistics & Warehouses, Offshore Fields, E & P Infrastructure Support services providers. Professionals who are interested in OSB segment of the Offshore & Marine Oil & Gas Industry. Participants who have no prior knowledge about OSB Operations and are new to the Offshore Logistics And highly recommended for: Managers, Engineers, and Professionals assigned to lead new initiatives in Logistics Management of Offshore & Marine Segments of Oil & Gas Industry. Course Level Intermediate Trainer Principal Management Consultant Chartered Valuer and Appraiser (CVA) FACICA | FAMTAC | FAIADR | M.S.I.D | Member, AIEN LL.M. (IP Law), M. Sc. (Maritime Studies), M. Tech (Knowledge Engineering), MBA, First Class CoC (MCA, UK), B. E. (Elect) Your expert course leader during the last 47 year period, has worked and consulted in the industry verticals encompassing: Technology, Oil & Gas Exploration & Production, Petrochemical Process Plants and Power Plant Construction Projects, Logistics & Warehousing, Marine, Offshore, Oil & Gas Pipelines, Infrastructure Development Projects (Ports, Offshore Supply Bases, Oil & Gas Terminals and Airports etc), EPCIC Contracts, and Shipyards, in South East Asia, Africa, Middle East, Americas and Europe. He serves as the Principal Management Consultant with a management consultancy in Hong Kong and Singapore, specialising in the fields of corporate management consultancy, international contracts reviews and alternative dispute resolutions services. He undertakes special assignments for conducting audits and valuation of intangible properties involving proprietary processes for licensed production, and licensing of intellectual property rights (IP Rights) in patents, trademarks, and industrial designs. He is frequently engaged for assignments like due diligence, acquisitions, mergers, resolving various operational issues, technology transfer and agency services contracts reviews, cost controls, and enhancement of Supply Chain Management. He has been conferred the credentials of Chartered Valuer & Appraiser (CVA) by SAC and IVAS, in accordance with the international valuation standards setting body IVSC. His consulting experience includes Charterparty Management, Business Process Re-engineering, Diversifications, Corporate Development, Marketing, Complex Project Management, Feasibility Studies, Dispute Resolutions and Market Research. He has successfully assisted Marine and offshore E & P clients in managing contractual disputes arising from various international contracts for upgrading & conversion projects. He continues to be actively engaged in claims reviews, mediation, arbitration, litigation, and expert witness related assignments, arising from international contracts and Charterparty Agreements. He graduated with a Bachelor's degree in Electrical Engineering, MBA in General Management, Master of Technology in Knowledge Engineering, Master of Science in Maritime Studies, and LL.M. (IP Law). He also holds professional qualifications in Business Valuations and Appraisers for CVA, arbitration, law, and marine engineering, including the Chief Engineer's First-Class Certificate of Competency (MCA, UK). He is further qualified and accredited as Certified International Arbitrator, Chartered Arbitrator, Sports arbitrator under CAS Rules, WIPO Neutral, Australian Communications and Media Authority (ACMA) Bargaining Code Arbitrator, Accredited Adjudicator and Accredited Mediator (Malaysia). He is admitted to the international panels of arbitrators and neutrals with WIPO, Geneva; ACICA, AMTAC and ACMA, Australia; BVIAC (British Virgin Islands); JIAC (Jamaica); HKIAC Hong Kong; AIAC, Malaysia; AIADR, Malaysia; KCAB, Seoul, South Korea; ICA, Delhi, India; ICC (Singapore); SISV, Singapore; SCMA, Singapore; SCCA, Saudi Arabia; VIAC Vienna, Austria; Thailand Arbitration Centre (THAC), and Mediator with AIAC Malaysia, CMC, and SIMI Singapore. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Training duration: 10 hrs Course info Method: 1-2-1, Personalized attention, Tailored content, Flexible pace, Individual support. Schedule: Personalized training experience with our flexible 1-2-1 sessions. Tailor your own schedule by pre-booking a convenient hour of your choice, available from Monday to Saturday between 9 am and 7 pm. Unlock visual effects and motion graphics skills with our 3ds Max and After Effects Course. Certified tutors guide you through seamless integration of 3D models and animations. Live online format, recorded lessons, and lifetime email support provided. Enroll now and explore exciting career opportunities in visual effects, animation, and motion graphics. Course Outline: Adobe After Effects Fundamentals. Getting Started Overview of the workspace and interface. Importing and organizing assets for seamless workflow. Understanding projects and compositions for effective project management. Working with layers to create complex compositions. Applying Effects (FX) Introduction to applying effects in After Effects. Fixed and applied FX for enhancing visual appeal. Understanding animation principles for smooth motion. Modifying motion paths to control animation trajectories. Mastering keyframes for precise animation control. Exploring the basics of the graph editor for advanced animation adjustments. Text Animation Creating and animating text in After Effects. Enhancing text with layer styles for engaging visuals. Utilizing animation options for dynamic text effects. Implementing motion blur for realistic motion. Shape Layers Introduction to shape layers and their versatility. Creating shapes from Illustrator files for flexible designs. Working with paths and their applications in animations. Utilizing animation options to breathe life into shapes. Exporting and Finalizing Projects Effective project management and organization techniques. Understanding export options for optimal rendering. Exporting projects through Media Encoder for various platforms. Utilizing dynamic link to Premiere Pro for seamless integration. Masks and Chroma-keying Creating and animating masks for selective visual effects. Utilizing tracking masks for precise adjustments. Limiting effects to specific areas using track mattes and property links. Mastering green-screen chroma-keying with Keylight 1.2. Additional Effects Exploring additional effects such as Warp Stabilizer, Camera Tracker, Motion Tracker, and Puppet Pin tool. Implementing these effects to enhance motion graphics and visual effects. Creative applications and hands-on practice with each effect. By the end of this fast-paced and practical Adobe After Effects training course, participants will achieve the following learning outcomes: Key Skills in After Effects: Gain proficiency in essential After Effects skills to transform video projects effectively. Professional Techniques: Master a range of professional techniques and processes invaluable for film makers, motion designers, and animators. Project Planning: Learn how to plan projects, prepare assets, and set compositions for seamless video production. Animation and Effects: Acquire the ability to apply and animate various transformations and effects on images, videos, and text elements. Masking and Compositing: Develop skills in masking and compositing to create visually stunning and cohesive compositions. Rendering Videos: Understand the video rendering process to produce high-quality final outputs.

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

Why AutoCAD Basics-Advanced Training Classes? Click here for more info AutoCAD Basics to Advanced Level Training Master drawing, editing, and advanced techniques. Optimize productivity and customize workspace. Create precise 2D drawings for various industries. Access recorded lessons and lifetime email support. Duration: 16 hrs Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. The AutoCAD from Basics leading to Advanced Training Course offers a comprehensive learning experience for participants to become proficient in AutoCAD. Whether you're a beginner or an experienced user, this progressive program covers the full spectrum of AutoCAD functionality. Participants will learn core features like drawing, editing, annotations, and dimensioning, progressing to advanced topics such as object manipulation, workspace customization, and workflow optimization. Upon completion, participants will create precise 2D drawings and designs. Interactive learning experiences with experienced instructors are available in-person or through live online sessions. AutoCAD 2D Course Outline: Session 1: Introduction to AutoCAD interface, commands, and tools Managing drawings and drawing basic shapes Basic modification techniques (erase, move, rotate, scale) Session 2: Working with layers and properties Creating and modifying text and dimensions Introduction to blocks and attributes Session 3: Advanced object modification techniques (fillet, chamfer, trim, extend) Using grips to modify objects Creating and modifying polylines and splines Session 4: Creating and editing tables Working with layouts and viewports Printing and exporting drawings Construction detailing and Detailed sections Course Highlights: Engaging exercises and projects to reinforce skills. Q&A and troubleshooting support. Solid understanding of AutoCAD 2D for basic to intermediate drawings. List of Topics Covered: Drawing: Line, Polyline, Circle, Arc, Rectangle, Ellipse, Spline, Polygon, Ray, Hatching, Gradient. Inquiry: Measure and Select All. Modify: Move, Copy, Rotate, Mirror, Fillet, Trim, Extend, Erase, Offset, Explode, Array, Stretch, Break, Polyline Edit, Hatch Edit, Scale. Layers: Creating, Managing, Changing, Line Type, Line Weights. Annotation: Dimensions, Text, Dimension Style, Text Style, Leaders. Properties: Colors, Line weights, Line Types, Line Type Scaling. Blocks: Create, Insert, Edit, Explode, Export. Insert: Insert, Attach. View: Navigate, View, Windows. Plot/Print: Model Space, Layouts/Workspaces, Viewports, Layout Scaling, Paper Setup, What To Plot, Plot Scale, Plot Offset, Plot Options. Final Project: Create a Plan, Section, and Elevation drawing. Option for a personal project. Free Trial - Download AutoCAD Software & Toolsets: Participants can download a free trial of AutoCAD and industry-specific toolsets from Autodesk's official website: (https://www.autodesk.co.uk). Master AutoCAD Basics: Understand the interface, commands, and drawing tools. Create and Modify Drawings: Proficiently manage drawings and apply various modification techniques. Work with Layers and Annotations: Effectively use layers, text, and dimensions. Utilize Advanced Drawing Techniques: Apply advanced object modifications and work with polylines. Navigate Layouts and Viewports: Manage layouts, viewports, and printing/exporting. Hands-On Project Experience: Practice skills through exercises and a final project. Personalized Learning: Receive focused one-to-one attention. Convenient Options: Choose in-person or live online sessions. Lesson Recordings and Support: Access recorded lessons and receive ongoing email assistance. Enhance Career Opportunities: Develop valuable 2D drawing skills for career advancement.

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

Who is this course for? The Interior Design Visualization Professional Certificate is perfect for individuals aspiring to launch their interior design business. Learn essential skills in AutoCAD, SketchUp, Photoshop, InDesign, Vray, and 3ds Max. If you prefer to book over the phone, simply call 02077202581. Click here for more info: Website Duration: 120 hours. 1-on-1 Training. When can I book: (Choose your preferred day and time once a week). Monday to Saturday: 9 am - 7 pm (Flexible timing with advance booking). Module 1: Introduction to Interior Design Visualization (4 hours) Understanding the Significance of Visualization in Interior Design Familiarity with Software Used: AutoCAD, 3ds Max, SketchUp, V-Ray, Photoshop, and InDesign Workflow Overview and Best Practices for Interior Design Visualization Module 2: AutoCAD for Interior Design (16 hours) Basics of AutoCAD and Its Interface Utilizing Drawing and Editing Tools for Accurate Floor Plans and Elevations Creating and Modifying 2D and 3D Objects Application of Layers, Line Types, and Hatches for Clarity Precision in Measurements and Annotations Module 3: 3ds Max for Interior Design (16 hours) Introduction to 3ds Max Interface Furniture, Fixtures, and Architectural Element Modeling Techniques Material and Texture Application for Realism Lighting Strategies for Interior Scenes V-Ray Introduction for High-Quality Rendering Scene Setup and Camera Placement for Effective Visualization Module 4: SketchUp for Interior Design (12 hours) Introduction to SketchUp and Its Interface Creating 3D Models of Interiors, Furniture, and Objects Enhancing Visuals with Materials and Textures Efficient Use of SketchUp Plugins and Extensions Seamless File Exchange Between SketchUp and Other Software Module 5: V-Ray for Interior Design Rendering (12 hours) Principles of Photorealistic Rendering Installation and Setup of V-Ray in 3ds Max and SketchUp Configuring V-Ray Settings for Optimal Rendering Advanced Material Application for Realistic Surfaces Lighting Techniques for Atmosphere and Mood Creation Module 6: Photoshop for Interior Design Visualization (12 hours) Introduction to Photoshop Interface Image Enhancement: Color, Contrast, and Saturation Adjustments Post-Processing Effects for a Polished Look Integration of 2D Elements like Textures and Patterns Creating Composite Images Using Multiple Render Passes Module 7: InDesign for Portfolio Presentation (8 hours) Introduction to InDesign Interface Designing a Visually Appealing Portfolio Layout Effective Organization and Presentation of Interior Design Visualizations Integration of Images, Text, and Graphics for Cohesive Portfolios Portfolio Export for Print and Digital Distribution Module 8: Project Work and Final Presentation (4 hours) Application of Learned Skills on a Comprehensive Interior Design Visualization Project Refinement and Polish under Instructor's Guidance Preparation and Delivery of Final Presentation Showcasing the Project Note: The course outline encompasses 80 instructional hours. The actual duration may vary based on class pace and additional practice and project work. Final Project (With Full-Time Tutor Assistance): Students will develop and present their best work in a final presentation at the end of the course. Projects are to be submitted via email to training@realanimationworks.com, and timely submission is crucial to avoid delays or interruption of sessions. Please be aware: Failure to attend a session or notify us of absence within 48 hours of the session time results in session loss and full class fee charges due to the personalized nature of the sessions. Students can request breaks or extended pauses by providing written notice through email. Benifits and Jobs after this course: Master Design Tools: Proficiency in AutoCAD, 3ds Max, SketchUp, V-Ray, Photoshop, and InDesign for interior design visualizations. Advanced 3D Skills: Expertise in detailed 3D modeling, realistic rendering, and precise lighting techniques. Portfolio Development: Create compelling portfolios using InDesign, blending images and text professionally. Career Opportunities: Interior Visualization Specialist 3D Modeler Architectural Visualizer Interior Design Consultant Digital Content Creator Freelance Interior Visualizer Virtual Reality Designer Educator/Trainer Certificate Program in Interior Design Visualization: Maintain a dedicated notebook for effective organization of study notes. Schedule makeup sessions for missed coursework, subject to available time slots. Keep detailed records and create a specialized design folder to monitor progress and nurture creative ideas. Allocate focused time for self-guided practice and project work. Receive certification from our esteemed professional design team upon successful completion of the program. Post-Program Achievements: Upon completion of the certificate program, you will: Gain confidence in software proficiency and a strong understanding of underlying principles. Demonstrate the ability to create high-quality visual representations for architectural and interior design projects. Feel well-prepared for career opportunities, backed by your software expertise. Ongoing Support: We are pleased to offer lifelong complimentary email and phone support, ensuring swift assistance with any inquiries or challenges you may face. Software Access: Access to necessary software is available via download from the developer's website or at student-friendly rates. Please note that student software usage is limited to non-commercial projects. Payment Flexibility: Choose from various payment options including internet bank transfers, credit cards, debit cards, and PayPal. Additionally, we offer installment plans tailored to our students' needs.

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