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Duration 5 Days 30 CPD hours This course is intended for This course is intended for students new to computer programming or experienced programmers who are new to client-side web development. Overview After completing this course, you will be able to: Describe the technologies involved in web development. Create HTML pages with links and images. Explain the benefits of CSS. Style HTML pages with CSS. Explain the concepts of objects, methods, and properties. Work with JavaScript variables. Create their own custom functions in JavaScript. Write flow control logic in JavaScript. Write JavaScript code that listens for and handles events, such as mouse clicks and page loads. Create forms with HTML and validate them with JavaScript. Use regular expressions in JavaScript for advanced form validation. This course is intended for IT professionals interested in becoming client-side web developers. who need to get a jump start on all three technologies. The course includes more than 30 exercises, providing a rapid hands-on introduction to the three major client-side languages: HTML, CSS, and JavaScript. Students should be prepared to cover a lot of ground quickly.This material updates and replaces course Microsoft course 20480 which was previously published under the title Programming in HTML5 with JavaScript and CSS3. Module 1: A Quick Overview of Web Development HTML is Part of a Team Client-side Programming Server-side Programming Web Development Technologies Module 2: Introduction to HTML Exercise: A Simple HTML Document Getting Started with a Simple HTML Document HTML Elements, Attributes, and Comments The HTML Skeleton Viewing the Page Source Special Characters HTML Elements and Special Characters History of HTML The lang Attribute Module 3: Paragraphs, Headings, and Text Paragraphs Heading Levels Breaks and Horizontal Rules Exercise: Paragraphs, Headings, and Text The div Tag Creating an HTML Page Quoted Text Preformatted Text Inline Semantic Elements Exercise: Adding Inline Elements Module 4: HTML Links Links Introduction Text Links Absolute vs. Relative Paths Targeting New Tabs Email Links Exercise: Adding Links Lorem Ipsum The title Attribute Linking to a Specific Location on the Page Targeting a Specific Location on the Page Module 5: HTML Images Inserting Images Image Links Adding Images to the Document Exercise: Adding Images to the Page Providing Alternative Images Module 6: HTML Lists Unordered Lists Ordered Lists Definition Lists Exercise: Creating Lists Module 7: Crash Course in CSS Benefits of Cascading Style Sheets CSS Rules Selectors Combinators Precedence of Selectors How Browsers Style Pages CSS Resets CSS Normalizers External Stylesheets, Embedded Stylesheets, and Inline Styles Exercise: Creating an External Stylesheet Exercise: Creating an Embedded Stylesheet Exercise: Adding Inline Styles div and span Exercise: Styling div and span Media Types Units of Measurement Inheritance Module 8: CSS Fonts font-family @font-face font-size font-style font-variant font-weight line-height font shorthand Exercise: Styling Fonts Module 9: Color and Opacity About Color and Opacity Color and Opacity Values Color Opacity Exercise: Adding Color and Opacity to Text Module 10: CSS Text letter-spacing text-align text-decoration text-indent text-shadow text-transform white-space word-break word-spacing Exercise: Text Properties Module 11: JavaScript Basics JavaScript vs. EcmaScript The HTML DOM JavaScript Syntax Accessing Elements Where Is JavaScript Code Written? JavaScript Objects, Methods, and Properties Exercise: Alerts, Writing, and Changing Background Color Module 12: Variables, Arrays, and Operators JavaScript Variables A Loosely Typed Language Google Chrome DevTools Storing User-Entered Data Exercise: Using Variables Constants Arrays Exercise: Working with Arrays Associative Arrays Playing with Array Methods JavaScript Operators The Modulus Operator Playing with Operators The Default Operator Exercise: Working with Operators Module 13: JavaScript Functions Global Objects and Functions Exercise: Working with Global Functions User-defined Functions Exercise: Writing a JavaScript Function Returning Values from Functions Module 14: Built-In JavaScript Objects Strings Math Date Helper Functions Exercise: Returning the Day of the Week as a String Module 15: Conditionals and Loops Conditionals Short-circuiting Switch / Case Ternary Operator Truthy and Falsy Exercise: Conditional Processing Loops while and do?while Loops for Loops break and continue Exercise: Working with Loops Array: forEach() Module 16: Event Handlers and Listeners On-event Handlers Exercise: Using On-event Handlers The addEventListener() Method Anonymous Functions Capturing Key Events Exercise: Adding Event Listeners Benefits of Event Listeners Timers Typing Test Module 17: The HTML Document Object Model CSS Selectors The innerHTML Property Nodes, NodeLists, and HTMLCollections Accessing Element Nodes Exercise: Accessing Elements Dot Notation and Square Bracket Notation Accessing Elements Hierarchically Exercise: Working with Hierarchical Elements Accessing Attributes Creating New Nodes Focusing on a Field Shopping List Application Exercise: Logging Exercise: Adding EventListeners Exercise: Adding Items to the List Exercise: Dynamically Adding Remove Buttons to the List Items Exercise: Removing List Items Exercise: Preventing Duplicates and Zero-length Product Names Manipulating Tables Module 18: HTML Forms How HTML Forms Work The form Element Form Elements Buttons Exercise: Creating a Registration Form Checkboxes Radio Buttons Exercise: Adding Checkboxes and Radio Buttons Fieldsets Select Menus Textareas Exercise: Adding a Select Menu and a Textarea HTML Forms and CSS Module 19: JavaScript Form Validation Server-side Form Validation HTML Form Validation Accessing Form Data Form Validation with JavaScript Exercise: Checking the Validity of the Email and URL Fields Checking Validity on Input and Submit Events Adding Error Messages Validating Textareas Validating Checkboxes Validating Radio Buttons Validating Select Menus Exercise: Validating the Ice Cream Order Form Giving the User a Chance Module 20: Regular Expressions Getting Started Regular Expression Syntax Backreferences Form Validation with Regular Expressions Cleaning Up Form Entries Exercise: Cleaning Up Form Entries A Slightly More Complex Example

Description Drug Design And Discovery Diploma Discover the fascinating world of drug development with the Drug Design And Discovery Diploma, an online course that demystifies the intricate processes and techniques used in the pharmaceutical industry. With advancements in medicine and technology, the need for skilled professionals in the realm of drug design and discovery is paramount. This diploma ensures you are well-equipped with the knowledge and expertise required in this ever-evolving sector. The Drug Design And Discovery Diploma begins with an introduction to drug design and discovery, laying the foundation for the comprehensive topics to follow. It explains the significance of developing new therapeutic agents and the challenges faced in the initial stages of drug discovery. Next, the course shifts its focus to target identification and validation, a pivotal step in ensuring that potential drugs interact with the desired molecular structures within the body. This is followed by an exploration of computational methods in drug design, where learners will be introduced to the latest software tools and techniques utilised to design new drug molecules efficiently. High throughput screening, a key technique used in modern drug discovery to quickly evaluate the effects of thousands of compounds, is also covered extensively in the course. The aim here is to familiarise students with the methodologies that facilitate rapid identification of potential drug candidates. One of the crucial aspects of drug design is understanding the relationship between a drug's chemical structure and its pharmacological activity. The section on Structure-Activity Relationship (SAR) Analysis helps elucidate this complex interplay, providing students with insights into how tiny molecular changes can significantly affect a drug's efficacy and safety. The Drug Design And Discovery Diploma also delves into drug metabolism and pharmacokinetics. Here, learners get an understanding of how drugs are absorbed, distributed, metabolised, and excreted by the body, ensuring they can design drugs that not only work effectively but are also safe for consumption. Toxicology and safety profiling follow next, teaching students the importance of assessing the potential adverse effects of new drug candidates. This knowledge is vital, ensuring that any potential drug has minimal side effects when administered. Before any drug reaches the market, it undergoes rigorous testing. The course provides a comprehensive overview of both preclinical and clinical trials, educating learners on the stages and methodologies involved in ensuring a drug's safety and effectiveness. An important component of drug development is how it is delivered to the targeted site in the body. The section on drug delivery systems offers insights into the various methods and technologies available to transport drugs effectively within the body. Finally, the Drug Design And Discovery Diploma concludes with a look at the future trends and challenges in the field. As the pharmaceutical industry is always evolving, it's essential for professionals to stay updated with the latest developments and potential hurdles they might face. In summary, the Drug Design And Discovery Diploma is a comprehensive online course that provides a deep understanding of the modern drug development process. From initial design to eventual market release, this course equips learners with the skills and knowledge required to excel in the dynamic world of drug discovery. What you will learn 1:Introduction to Drug Design and Discovery 2:Target Identification and Validation 3:Computational Methods in Drug Design 4:High Throughput Screening 5:Structure-Activity Relationship (SAR) Analysis 6:Drug Metabolism and Pharmacokinetics 7:Toxicology and Safety Profiling 8:Preclinical and Clinical Trials 9:Drug Delivery Systems 10:Future Trends and Challenges Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Project Management Fundamentals - Japanese: On-Demand Many projects are run by highly qualified, talented people with little or no training in project management. They carry out projects such as process improvement, marketing campaign development, new product development, event planning and production, as if they were "work". Project Management Fundamentals (PMF) was created to help those who need a solid foundation in project management to learn on the job without undue burden. is. This course provides practical skills, concepts and principles that you can take back to the workplace, and the insight you need to adapt them to your specific project environment. PMF's course goal is to achieve quality performance by learning effective planning and control, so it emphasizes process-oriented and analytical, systems-oriented approaches. These frameworks promote the project-related problem-solving and decision-making skills needed in real-world projects. We also focus on the collaboration, clear person-to-person communication, interpersonal and interpersonal skills required for the project. These needs are recognized throughout PMF, but are highlighted in two areas: Module 2 - People and Projects Module 8 - Execution, Communication and Team Development What You Will Learn By the end of this course, you should be able to: Explain the value of strong project management Identify the characteristics of successful projects and project managers Recognize how current agile/adaptive practices fit into project management Learn project management processes such as initiation, planning, execution, monitoring and control, and closing Leverage project management processes and tools based on case studies and real-world situations Create initial project plan Using standard project management terminology Basic Concepts Project management and its definition PM value and key points Competing Constraints and Project Success Project life cycle People and Projects Overview of people and projects Project manager Project team people and projects in the organization Module 3 - Initiation and Requirements Definition Project launch Formulation of project charter Conducting stakeholder evaluations Requirements definition Using the Work Breakdown Structure Define Work Breakdown Structure (WBS) Development of usable WBS Utilization of WBS Project Risk Management Need for risk management Overview of risk-aware planning Identification of risks Risk analysis Risk response plan Implementing countermeasures and monitoring risks Environmental considerations that require adaptability Quotation Quote definition Quotation approach How to estimate cost estimate Quotation Validation Scheduling Definition of the scheduling process and related terms Defining sequences and dependencies Determining the critical path Examination of schedule risk and optimization of schedule Execution, Communication and Team Development From baseline to execution Project communication and stakeholder relationships high performance team Monitoring and Control Definition of monitoring and control See control through the lens of competing demands Variance analysis and corrective action (earned value) Adaptive environment considerations Project Closure Closing the project Focus on project migration Focus on post-project evaluation

Project Management Fundamentals - Japanese: On-Demand Many projects are run by highly qualified, talented people with little or no training in project management. They carry out projects such as process improvement, marketing campaign development, new product development, event planning and production, as if they were "work". Project Management Fundamentals (PMF) was created to help those who need a solid foundation in project management to learn on the job without undue burden. is. This course provides practical skills, concepts and principles that you can take back to the workplace, and the insight you need to adapt them to your specific project environment. PMF's course goal is to achieve quality performance by learning effective planning and control, so it emphasizes process-oriented and analytical, systems-oriented approaches. These frameworks promote the project-related problem-solving and decision-making skills needed in real-world projects. We also focus on the collaboration, clear person-to-person communication, interpersonal and interpersonal skills required for the project. These needs are recognized throughout PMF, but are highlighted in two areas: Module 2 - People and Projects Module 8 - Execution, Communication and Team Development What You Will Learn By the end of this course, you should be able to: Explain the value of strong project management Identify the characteristics of successful projects and project managers Recognize how current agile/adaptive practices fit into project management Learn project management processes such as initiation, planning, execution, monitoring and control, and closing Leverage project management processes and tools based on case studies and real-world situations Create initial project plan Using standard project management terminology Basic Concepts Project management and its definition PM value and key points Competing Constraints and Project Success Project life cycle People and Projects Overview of people and projects Project manager Project team people and projects in the organization Module 3 - Initiation and Requirements Definition Project launch Formulation of project charter Conducting stakeholder evaluations Requirements definition Using the Work Breakdown Structure Define Work Breakdown Structure (WBS) Development of usable WBS Utilization of WBS Project Risk Management Need for risk management Overview of risk-aware planning Identification of risks Risk analysis Risk response plan Implementing countermeasures and monitoring risks Environmental considerations that require adaptability Quotation Quote definition Quotation approach How to estimate cost estimate Quotation Validation Scheduling Definition of the scheduling process and related terms Defining sequences and dependencies Determining the critical path Examination of schedule risk and optimization of schedule Execution, Communication and Team Development From baseline to execution Project communication and stakeholder relationships high performance team Monitoring and Control Definition of monitoring and control See control through the lens of competing demands Variance analysis and corrective action (earned value) Adaptive environment considerations Project Closure Closing the project Focus on project migration Focus on post-project evaluation

Learn to build a custom object-oriented PHP MVC framework and application

This is a fun project-based course to learn how to create awesome layouts using the Tailwind CSS framework and to get comfortable using utility classes over something like Bootstrap, which uses component-based classes. Experiment and learn all about certain aspects of Tailwind with the help of this course.

Course Overview Grasp the opportunity to learn Microsoft Excel from the ABCs to an advanced level within one course. The Microsoft Excel Masterclass in 2021 course will start with the basics with MS excel and gradually turn you into an expert user. The Microsoft Excel Masterclass in 2021 course will first focus on the tools and functions of excel. You will comprehend the skills to create basic formulas in excel. In this step by the step learning process, you will have the adequate knowledge and ability to make all sorts of adjustments to your worksheets. The course will teach you many strategies for cell formatting. From the easy to follow modules, you will grasp the techniques to insert shapes and images into your sheets. You will also understand how to visualize your data in charts. In the end, you will study the benefits of using excel templates. The Microsoft Excel Masterclass in 2021 course will provide you with first-hand training on excel. Enroll in the course and take your excel skills to the next level. Learning Outcomes Get an introduction to Microsoft Excel and its functions Understand the process of data validation and data visualization Learn how to adjust excel worksheets Know about the conditional functions Familiarize yourself with the process of inserting images and shapes Who is this course for? Those who want to learn Microsoft Excel. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The Microsoft Excel Masterclass in 2021 course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Business Professional Data Operator Administrative Officer Data Analyst Unit 01: Excel from A-Z Course Introduction Excel from A-Z Course Intro 00:03:00 Excel Job Opportunities 00:03:00 Excel Job Types 00:04:00 Microsoft Excel Marketplace 00:04:00 What is Microsoft Excel? 00:04:00 Who is This Course For? 00:04:00 Unit 02: Getting Started With Excel Finding & Opening Excel 00:01:00 Excel's Start Screen 00:03:00 Explaining the Excel Interface 00:03:00 Excel Interface Continued 00:01:00 Excel Workbook vs. Excel Worksheet 00:02:00 Saving an Excel Document 00:04:00 Customizing the Quick Access Toolbar 00:02:00 Customizing the Excel Ribbon 00:03:00 Excel Shortcut Keys 00:02:00 Unit 03: Values, Referencing and Formulas Creating Excel Labels 00:03:00 Entering Numeric Values in Excel 00:03:00 Formatting Date Values in Excel 00:05:00 Building Basic Formulas in Excel 00:05:00 Order of Operations 00:06:00 Relative vs. Absolute Cell References 00:07:00 Unit 04: Intro to Excel Functions Excel Functions Explained 00:03:00 The SUM() Function 00:08:00 The MIN() & MAX() Function 00:04:00 The AVERAGE() Function 00:02:00 COUNT() Functions 00:05:00 Unit 05: Adjusting Excel Worksheets Moving & Copying Data 00:07:00 Insert & Delete Rows and Columns 00:05:00 Adjusting the Width and Height of Cells 00:05:00 Hiding and Unhiding Excel Rows and Columns 00:04:00 Renaming, Moving & Deleting Excel Worksheets 00:05:00 Adding Protection to Specific Cells 00:04:00 Protecting the Structure of a Workbook 00:02:00 Adding a Workbook Password to Open File 00:02:00 Unit 06: Visually Pleasing Cell Formatting Formatting Fonts and Cell Background Color 00:05:00 Adding Cell Borders 00:05:00 Formatting Data Appropriately 00:05:00 The Magic behind Excel's Format Painter 00:04:00 Creating Styles for Formatting Efficiency 00:06:00 Merging Cells for a Cleaner Look 00:03:00 The Power of Conditional Formatting 00:06:00 Unit 07: How to Insert Images and Shapes! Grab User's Attention using Illustrations 00:09:00 Customizing Icons 00:05:00 Create Compelling Graphics with SmartArt 00:06:00 Unit 08: Visualize Data with Charts The Commonly Used Column Chart 00:03:00 Changing the Chart Design 00:02:00 Formatting Elements of a Chart 00:06:00 Modifying the Data, Type & Location of a Chart 00:06:00 Unit 09: Excel's Printing Options Print Preview Options 00:04:00 Excel's Page Layout View 00:07:00 Printing a Specific Range of Cells 00:03:00 Converting Spreadsheets to PDF Files 00:02:00 Unit 10: Benefits of Using Excel Templates Why Create an Excel Template 00:01:00 How to Create an Excel Template 00:05:00 Unit 11: Working with Excel Datasets How to Prepare Data for Analysis 00:04:00 How to Sort Data in Excel 00:03:00 Multi-Level Sorting 00:03:00 Custom Sorting Datasets in Excel 00:02:00 Applying Filters to Datasets 00:05:00 Creating Subtotals within a Dataset 00:06:00 Converting Datasets into Tables 00:06:00 Finding & Removing Duplicate Values 00:07:00 Unit 12: Excel Database Functions The SUMIF() Function 00:09:00 The DSUM() Function 00:08:00 The DSUM() Function Cont. 00:07:00 The SUBTOTAL() Function 00:06:00 Unit 13: Excel Data Validation What is Excel Data Validation? 00:02:00 Creating a Drop Down List with Data Validation 00:07:00 Different Types of Excel Data Validation 00:06:00 Adding Custom Alerts to Data Validation 00:07:00 Creating a Dynamic Drop Down List 00:03:00 Complex Validation: Dependent Drop Down List! 00:09:00 Unit 14: Excel PivotTables Creating an Excel Pivot Table 00:06:00 Modifying Excel PivotTables 00:06:00 Grouping & Filtering PivotTable Data 00:07:00 Drilling Down into PivotTable Data 00:02:00 Creating Pivot Charts & Utilizing Slicers 00:08:00 Unit 15: Excel's PowerPivot Add-In What is PowerPivot? 00:04:00 Activating the Excel PowerPivot Add-In 00:02:00 Creating Relationships between Data Tables 00:06:00 Using Data Models to Create PivotTables 00:05:00 How to Create PowerPivot KPI's 00:08:00 Unit 16: Excel's Conditional Functions Excel's IF() Function 00:05:00 IF() Function with AND() Criteria 00:05:00 IF() Function with OR() Criteria 00:05:00 Nesting Multiple IF() Functions 00:07:00 The COUNTIF() Function 00:04:00 Key Benefits of Named Ranges 00:04:00 Unit 17: Excel's Lookup Function VLOOKUP() Function 00:09:00 The Beauty of Excel's IFERROR() Function 00:04:00 HLOOKUP() Function 00:06:00 INDEX() Function 00:05:00 MATCH() Function 00:05:00 INDEX() and MATCH() Combined 00:05:00 Two-Way Lookup with INDEX() and MATCH() 00:04:00 Unit 18: Text Based Functions in Excel LEFT(), RIGHT() and MID() Function 00:07:00 Extracting Specific Text using LEN() & SEARCH() 00:13:00 Combining Text with CONCATENATE() 00:06:00 Quick Tips & Other Text Based Functions 00:06:00 Unit 19: Auditing Formulas and Views in Excel Tracing Precedents & Dependents in Formulas 00:04:00 Showing Formulas 00:02:00 Grouping Data 00:03:00 3D Referencing in Formulas 00:05:00 Utilizing the Watch Window in Excel 00:03:00 How to Freeze Panes in Excel 00:03:00 Unit 20: Excel's 'what If?' Tools Excel's Scenario Manager Tool 00:06:00 Goal Seek in Excel 00:06:00 Compare Results with Excel Data Tables 00:04:00 Solver Tool 00:11:00 Unit 21: Welcome to Excel VBA The Power Behind Excel VBA 00:03:00 A Look Inside the Visual Basic Editor (VBE) 00:04:00 Recording a Macro 00:09:00 Saving & Opening a Macro-Enabled Workbook 00:02:00 Unit 22: The VBA Language Modules and Procedures 00:07:00 Objects, Methods and Properties 00:06:00 Excel VBA Variables 00:05:00 Unit 23: Writing VBA Code Referencing a Range 00:14:00 InputBox & MsgBox 00:06:00 Using Variables in VBA Code 00:05:00 If Then Else Statement 00:10:00 Worksheet Functions inside VBA 00:08:00 Creating User Defined Functions 00:09:00 User Defined Functions within VBA Scripts 00:06:00 Unit 24: Important VBA Tools and Logic Find Last Row of Data 00:06:00 Find Last Column of Data 00:03:00 With Statement 00:05:00 Debugging & Error Handling 00:07:00 Debugging & Error Handling Cont. 00:07:00 Unit 25: Excel VBA Lopps For Next Loop 00:09:00 Do Until Loop 00:06:00 For Each Loop 00:04:00 Unit 26: Triggering Macros Assigning Macros to Shapes 00:04:00 Form Controls vs ActiveX Controls 00:08:00 Worksheet Events 00:04:00 Workbook Events 00:03:00 Fun with VBA Events! 00:07:00 Unit 27: Excel User Forms Creating an Excel UserForm 00:03:00 Adding Controls to UserForms 00:10:00 How to Show an UserForm 00:03:00 Passing TextBox Values to Desired Cells 00:07:00 Passing Option Buttons to Desired Cells 00:07:00 UserForm ComboBoxes 00:08:00 Clearing Values from UserForm Controls 00:03:00 How to Close an UserForm 00:02:00 UserForms and Protected Sheets 00:05:00 Unit 28: Starting a Career in Excel Creating an Excel Resume 00:05:00 Getting Started with Freelancing 00:06:00 How to Become an Excel Freelancer 00:05:00 Top Freelance Websites 00:05:00 How to Get Your First Client 00:08:00 Personal Branding 00:07:00 Networking Do's and Don'ts 00:04:00 Importance of Having a Website 00:04:00 Resources Resources - Microsoft Excel Masterclass in 2021 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum How to Discover Amazing Startup Ideas How to Discover Amazing Startup Ideas - Start by Asking these 5 Questions 00:06:00 Spotting Problems Simplified - Overview 00:02:00 Problem Spotting Simplified - Part 1 00:07:00 Problem Spotting Simplified - Part 2 00:09:00 Problem Spotting Simplified - Part 3 00:06:00 Problem Spotting Simplified - Part 4 00:06:00 Problem Spotting Simplified - Part 5 00:01:00 Problem Spotting Simplified - Part 6 00:02:00 Problem Spotting Simplified - Part 7 00:04:00 Problem Spotting Simplified - Part 8 00:04:00 Problem Spotting Simplified - Part 9 00:08:00 The Elusive Problem-Solution Fit Evaluating The Problem-Solution Fit 00:06:00 Problem Assessment - Evaluating the Problem-Solution Fit 00:11:00 Solution Assessment - Evaluating the Problem-Solution Fit 00:08:00 Identifying your Core Customers - Draw your Buyer Avatar/Persona 00:04:00 Evaluating The Product-Market Fit Is your Startup the Next Unicorn? Assessing The Potential of your Startup Idea - Start with the Competition 00:13:00 Assessing the Market for your Startup - Evaluating the Playground 00:07:00 Draw your Startup Blueprint on "Lean Canvas" Draw your Startup Blueprint on “Lean Canvas” 00:12:00 What is Idea Validation and Why Is It a Must-Do Step for Any Startup? What is Idea Validation and Why Is It a Must-Do Step for Any Startup? 00:10:00 13 Approaches to Test Your Startup Ideas 13 Approaches to Test Your Startup Idea 00:06:00 Results of Idea Validation 00:01:00 The Entrepreneurship Trap Entrepreneurs are Resourceful 00:02:00 Entrepreneurship is a Mindset 00:01:00 The Entrepreneurship Trap 00:01:00 Startup Core Characteristics and Failure Rates What is a Startup 00:01:00 Startup Core Characteristics and Failure Rates 00:02:00 Failure Implications For Startup Investors & Failure Rates by Industry 00:03:00 There's No Survivorship Bias 00:01:00 Uncover The #1 Reason Why Most Startups Fails Why Startups Fail - Reason 20 00:02:00 Why Startups Fail - Reason 19 to 15 00:07:00 Why Startups Fail - Reason 14 to 10 00:04:00 Why Startups Fail - Reason 9 to 5 00:04:00 Why Startups Fail - Reason 4 to 2 00:03:00 Uncover The #1 Reason Why Most Startups on the Face of Planet Earth Have Failed 00:03:00 Bonus: Profitable App Development Blueprint for Startups Profitable App Development Blueprint for Startups 00:37:00 Supplementary Resources Supplementary Resources - Entrepreneurship: 60 Day Startup Launch Blueprint 00:00:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.