Learning Smartsheet doesn't need any prior coding experience. This complete hands-on course helps you get familiar with the concepts of working on a Smartsheet from scratch. You will be able to manage projects and track progress in an organized manner. This course is specifically designed for beginners.
Description: Microsoft Access is a database management system application; it stores data in its own form on the Access Jet database engine. This application is used by mainly software developers to develop application software. Microsoft Access 2016 Beginner to Advanced course is a complete collection with all the contents necessary to give you an overview of this application. In this course, you will learn about its interface, create and edit databases, sorting and filtering data in a query, performing calculations, summarization of data, data normalization, advanced reporting, etc. By the end of this course, users should be comfortable with navigating the Access 2016 interface, creating a new database from scratch, querying a database, generating reports, sharing data, and much more. Learning Outcomes: Get familiarized with Microsoft Access 2016, create simple databases, and use the help options Change table data, manage records and create lookups Join data from different tables, sort and filter them, and perform calculations for queries Creating, adding controls, enhancing appearance and print preparation for reports How to utilize Access Options dialog box Relational database design, creating tables, managing table fields and creating table relationships Creating query joins and sub queries, joining tables with no common fields, relating data within a table, and working with sub datasheets Data normalization and creating junction tables Sharing Access data with other applications and through import and export options Managing reports through organizing information, formatting, including charts, adding calculated fields and sub-report inclusion to existing ones Create mailing label report and publishing reports in PDF format Designing forms through adding and setting controls, creating subforms, using tab pages to organize information, improve navigation, formatting and applying conditional formatting Data, field, form and record validation Creating macros, restricting records using conditions, validate data, automate data entry and convert a macro to VBA in order to enhance user interface design Link tables to external data sources, manage database, determine object dependency, document database, and analyze database performance Allow multiple user access to database by splitting it, implement security, set passwords, convert Access database to ACCDE file, and add digital signatures Create and modify switchboards and startup options 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 Access 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 Access 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 Orientation to Microsoft Access 01:00:00 Create a Simple Access Database 01:00:00 Get Help in Microsoft Access 00:30:00 Modify Table Data 00:30:00 Work with Records 01:00:00 Sort and Filter Records 00:30:00 Create Lookups 01:00:00 Join Data from Different Tables in a Query 01:00:00 Sort and Filter Data in a Query 01:00:00 Perform Calculations in a Query 00:30:00 Create Parameter Queries 00:30:00 Create Action Queries 00:30:00 Create Find Duplicate and Find Unmatched Queries 00:30:00 Summarize Data 00:30:00 Create a Report 01:00:00 Add Controls to a Report 00:30:00 Enhance the Appearance of a Report 00:30:00 Prepare a Report for Print 00:30:00 The Access Options Dialog Box 01:00:00 Relational Database Design 00:30:00 Create a Table 01:00:00 Modify a Table and Fields 00:30:00 Create Table Relationships 00:30:00 Create Query Joins 00:30:00 Join Tables That Have No Common Fields 00:30:00 Relate Data within a Table 00:30:00 Work with Subdatasheets 00:30:00 Create Subqueries 00:30:00 Data Normalization 01:00:00 Create a Junction Table 00:30:00 Import Data into Access 00:30:00 Export Data to Text File Formats 00:30:00 Export Access Data to Excel 00:30:00 Create a Mail Merge 00:30:00 Organize Report Information 00:30:00 Format Reports 00:30:00 Include Charts in a Report 00:30:00 Add a Calculated Field to a Report 00:30:00 Add a Subreport to an Existing Report 00:30:00 Create a Mailing Label Report 00:30:00 Publish a Report as PDF 00:30:00 Activities - Microsoft Access 2016 for Beginners 00:00:00 Module - 2 Add Controls to Forms 01:00:00 Set Form Controls 01:00:00 Create Subforms 00:30:00 Organize Information with Tab Pages 00:30:00 Enhance Navigation with Forms 00:30:00 Format a Form 01:00:00 Apply Conditional Formatting 00:30:00 Field Validation 00:30:00 Form and Record Validation 00:30:00 Create a Macro 01:00:00 Restrict Records Using a Condition 00:30:00 Validate Data Using a Macro 00:30:00 Automate Data Entry Using a Macro 00:30:00 Convert a Macro to VBA 00:30:00 Link Tables to External Data Sources 00:30:00 Manage a Database 00:30:00 Determine Object Dependency 00:30:00 Document a Database 00:30:00 Analyze the Performance of a Database 00:30:00 Split a Database for Multiple User Access 00:30:00 Implement Security 00:30:00 Set Passwords 00:30:00 Convert an Access Database to an ACCDE File 00:30:00 Package a Database with a Digital Signature 00:30:00 Create a Database Switchboard 01:00:00 Modify a Database Switchboard 00:30:00 Set Startup Options 00:30:00 Activities - Microsoft Access 2016 Advanced 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Microsoft Access 2016 Beginner to Advanced 00:30:00 Final Exam Final Exam- Microsoft Access 2016 Beginner to Advanced 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
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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
Why Choose Adobe InDesign Fundamentals Training Course? Course info. Learn Adobe InDesign fundamentals from certified tutors. Master layout creation, typography, layouts and design principles. Choose in-person or live online sessions. Certificate of Completion and lifetime email support provided. Duration: 5 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own hours of your choice, available from Monday to Saturday between 9 am and 7 pm. Adobe Certified Instructors and Expert for InDesign, and a professional graphic designer. In this advanced course, we will delve into InDesign's powerful features, productivity techniques, and workflow speed tricks. 5-hour Adobe InDesign Fundamentals training course, designed to empower you with essential skills for layout and design projects. Suitable for beginners and those with some experience, this course ensures you can confidently create professional-quality documents and publications. Part 1: Introduction to Adobe InDesign (1 hour) Explore the workspace and tools Set up new documents with proper page size and margins Format text and images effectively Customize the interface for efficient workflow Part 2: Text Formatting and Styles (1 hour) Apply character and paragraph styles for consistent formatting Control text flow with text frames Organize lists using bullets and numbering Master special characters for typographic control Part 3: Working with Images (1 hour) Import and position images in the document Adjust image size and alignment within frames Create professional layouts with text wrapping around images Enhance visuals with image frames and effects Part 4: Layout Design (1 hour) Create precise grids and guides for alignment Arrange objects for a balanced layout Streamline design work with layers Maintain consistency with master pages and templates Part 5: Printing and Exporting (1 hour) Understand color modes and printing principles Export to PDF and other formats for various outputs Ensure print readiness through preflighting Efficiently archive and manage InDesign files Through hands-on exercises and practical examples, you'll solidify your understanding of each module. This course equips you to design visually captivating layouts, create documents for diverse purposes, and manage InDesign projects effectively. Adobe InDesign is a powerful desktop publishing tool, and our fundamentals course sets the stage for you to explore and expand your skills in a wide range of design projects. Don't miss this opportunity to unlock your creative potential with InDesign!
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
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
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.
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