Overview This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds. Requirements Our Python Programming: Beginner To Expert is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 18 sections • 121 lectures • 15:27:00 total length •Intro To Python Section Overview: 00:05:00 •What is Python Programming: 00:10:00 •Who is This Course For: 00:05:00 •Python Programming Marketplace: 00:06:00 •Python Job Opportunities: 00:05:00 •How To Land a Python Job Without a Degree: 00:08:00 •Python Programmer Job Roles: 00:09:00 •Python from A-Z Course Structure: 00:04:00 •Getting Familiar with Python Section Overview: 00:06:00 •Installing Python on Windows: 00:10:00 •Anaconda and Jupyter Notebooks Part 1: 00:08:00 •Anaconda and Jupyter Notebooks Part 2: 00:16:00 •Comments: 00:05:00 •Python Syntax: 00:02:00 •Line Structure: 00:03:00 •Line Structure Exercise: 00:07:00 •Joining Lines: 00:05:00 •Multiple Statements on a Single Line: 00:05:00 •Indentation: 00:08:00 •Basic Data Types Section Overview: 00:08:00 •String Overview: 00:10:00 •String Manipulation: 00:07:00 •String Indexing: 00:04:00 •String Slicing: 00:08:00 •Printing: 00:10:00 •Python Variables: 00:08:00 •Integers and Floats: 00:08:00 •Booleans: 00:05:00 •Mini Project 1 : Letter Counter: 00:20:00 •Python Operators Section Overview: 00:04:00 •Comparison Operators: 00:09:00 •Arithmetic Operators: 00:08:00 •Assignment Operators: 00:04:00 •Logical Operators: 00:13:00 •Identity Operators: 00:05:00 •Membership Operators: 00:02:00 •Bitwise Operators: 00:08:00 •Python Advanced Data Types Section Overview: 00:11:00 •Sets: 00:06:00 •List Overview: 00:05:00 •List Slicing and Indexing: 00:04:00 •Tuples: 00:02:00 •When to use each one?: 00:05:00 •Compound Data Types: 00:03:00 •Dictionaries: 00:11:00 •Control Flow Part 1 Section Overview: 00:15:00 •Intro to Control Flow: 00:01:00 •Basic Conditional Statements: 00:14:00 •More Conditional Statements: 00:05:00 •For Loops: 00:10:00 •While Loops: 00:12:00 •Control Flow Part 2 Section Overview: 00:02:00 •Break Statements: 00:08:00 •Continue Statements: 00:05:00 •Zip Function: 00:07:00 •Enumerate Function: 00:04:00 •List Comprehension: 00:04:00 •Python Functions Section Overview: 00:03:00 •Intro to Functions: 00:02:00 •Python help Function: 00:03:00 •Defining Functions: 00:09:00 •Variable Scope: 00:08:00 •Doc Strings: 00:04:00 •User Input and Error Handling Section Overview: 00:02:00 •Introduction to error handling: 00:03:00 •User Input: 00:04:00 •Syntax Errors: 00:04:00 •Exceptions: 00:11:00 •Handling Exceptions Part 1: 00:08:00 •Handling Exceptions Part 2: 00:08:00 •Python Advanced Functions Section Overview: 00:05:00 •Lambda Functions: 00:05:00 •Functions args and kwargs: 00:10:00 •Iterators: 00:08:00 •Generators and Yield: 00:12:00 •Map Function: 00:14:00 •Filter Function: 00:08:00 •Python Scripting and Libraries Section Overview: 00:05:00 •What is a script: 00:01:00 •What is an IDE: 00:17:00 •What is a text editor?: 00:12:00 •From Jupyter Notebook to VScode Part 1: 00:15:00 •From Jupyter Notebook to VScode Part 2: 00:05:00 •Importing Scripts: 00:03:00 •Standard Libraries: 00:04:00 •Third Party Libraries: 00:06:00 •NumPy Section Overview: 00:04:00 •Intro to NumPy: 00:04:00 •Why use NumPy?: 00:04:00 •NumPy Arrays: 00:10:00 •Reshaping, Accessing, and Modifying: 00:07:00 •Slicing and Copying: 00:06:00 •Inserting, Appending, and Deleting: 00:10:00 •Array Logical Indexing: 00:04:00 •Broadcasting: 00:08:00 •Intro to Pandas: 00:17:00 •Pandas Series: 00:17:00 •Pandas Series Manipulation: 00:17:00 •Pandas DataFrame: 00:17:00 •Pandas DataFrame Manipulation: 00:13:00 •Dealing with Missing Values: 00:10:00 •Functional vs OOP: 00:06:00 •OOP Key Definitions: 00:04:00 •Create your First Class: 00:12:00 •How to Create and Use Objects: 00:06:00 •How to Modify Attributes: 00:12:00 •Python Decorators: 00:27:00 •Property Decorator: 00:09:00 •Class Method Decorator: 00:07:00 •Static Methods: 00:10:00 •Inheritance from A to Z: 00:21:00 •Python Career Section Overview: 00:06:00 •Getting Started with Freelancing: 00:09:00 •Building A Brand: 00:12:00 •Personal Branding: 00:13:00 •Importance of Having Website/Blog: 00:04:00 •Do's And Don'ts Of Networking: 00:06:00 •Top Freelance Websites: 00:08:00 •Creating A Python Developer Resume: 00:06:00 •Resources - Python Programming: Beginner To Expert: 00:00:00 •Assignment - Python Programming: Beginner To Expert: 00:00:00
ow would you like the folks you work with to describe you when you're not in the room? Like it or not, we all have a brand. We're all remembered and thought of based on the impressions we leave with those we share our working world with. That leaves each of us with a choice...do we want that brand to happen by chance, to hope for the best? OR. Do we want to explore our brand; define it and craft it? Do we want to get intentional about building ourselves a professional brand that is consistent and authentic.
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Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? 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 Data Science & Machine Learning with R from A-Z 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 Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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 Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00
Your work personality brings together all those parts of you that have an influence on your performance at work. This course examines those qualities of your personality that you consistently demonstrate in your work and by which you become known by your colleagues. The main issue is whether you possess and use those positive qualities normally associated with good performance.
Python Programming: Beginner To Expert Overview Unfold the potential within you, and embark on a journey of mastering Python programming - from the fundamental building blocks to the pinnacle of expertise. This comprehensive course, crafted with meticulous care, empowers you to transform from a curious novice to a confident coding maestro, wielding Python's power with finesse. Within these engaging modules, you'll delve into the core principles of Python, meticulously exploring data types, operators, control flow, and functions. As your proficiency blossoms, you'll conquer advanced topics like object-oriented programming, powerful libraries like NumPy and Pandas, and the art of crafting polished scripts. But this journey isn't merely about acquiring technical prowess; it's about unlocking a world of possibilities. By the course's end, you'll be equipped to embark on a rewarding career path, armed with the skills to tackle real-world challenges in diverse domains - from data analysis and web development to scientific computing and automation. Learning Outcomes Gain a solid foundation in Python syntax, data structures, and control flow mechanisms. Master essential functions, user input, and error-handling techniques. Explore advanced data types, object-oriented programming concepts, and popular libraries like NumPy and Pandas. Craft polished, reusable Python scripts for various applications. Confidently navigate the Python ecosystem and continuously expand your knowledge. Why You Should Choose Python Programming: Beginner To Expert Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Python Programming: Beginner To Expert is CPD certified and IAO accredited. 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 backgrounds. Requirements Our Python Programming: Beginner To Expert 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Python Programming: Beginner To Expert Module 01: Introduction to Python Programming from A-Z Intro To Python Section Overview 00:06:00 What is Python Programming? 00:10:00 Who is This Course For? 00:05:00 Python Programming Marketplace 00:06:00 Python Job Opportunities 00:05:00 How To Land a Python Job Without a Degree 00:08:00 Python Programmer Job Roles 00:09:00 Python from A-Z Course Structure 00:04:00 Module 02: Getting Familiar with Python Getting Familiar with Python Section Overview 00:06:00 Installing Python on Windows 00:10:00 Anaconda and Jupyter Notebooks Part 1 00:08:00 Anaconda and Jupyter Notebooks Part 2 00:16:00 Comments 00:05:00 Python Syntax 00:02:00 Line Structure 00:03:00 Line Structure Exercise 00:07:00 Joining Lines 00:05:00 Multiple Statements on a Single Line 00:05:00 Indentation 00:08:00 Module 03: Basic Data Types Basic Data Types Section Overview 00:08:00 String Overview 00:10:00 String Manipulation 00:07:00 String Indexing 00:04:00 String Slicing 00:08:00 Printing 00:10:00 Python Variables 00:08:00 Integers and Floats 00:08:00 Booleans 00:02:00 Mini Project 1 : Letter Counter 00:20:00 Module 04: Python Operators Python Operators Section Overview 00:04:00 Comparison Operators 00:09:00 Arithmetic Operators 00:08:00 Assignment Operators 00:05:00 Logical Operators 00:13:00 Identity Operators 00:05:00 Membership Operators 00:02:00 Bitwise Operators 00:08:00 Module 05: Advanced Data Types Python Advanced Data Types Section Overview 00:11:00 Sets 00:06:00 List Overview 00:05:00 List Slicing and Indexing 00:04:00 Tuples 00:02:00 Dictionaries 00:11:00 When to use each one? 00:05:00 Compound Data Types 00:03:00 Module 06: Control Flow Part 1 Control Flow Part 1 Section Overview 00:15:00 Intro to Control Flow 00:01:00 Basic Conditional Statements 00:14:00 More Conditional Statements 00:05:00 For Loops 00:10:00 While Loops 00:12:00 Module 07: Control Flow Part 2 Control Flow Part 2 Section Overview 00:02:00 Break Statements 00:08:00 Continue Statements 00:05:00 Zip Function 00:07:00 Enumerate Function 00:04:00 List Comprehension 00:04:00 Module 08: Python Functions Python Functions Section Overview 00:03:00 Intro to Functions 00:02:00 Python help Function 00:03:00 Defining Functions 00:09:00 Variable Scope 00:08:00 Doc Strings 00:04:00 Module 09: User Input and Error Handling User Input and Error Handling Section Overview 00:02:00 Introduction to error handling 00:03:00 User Input 00:04:00 Syntax Errors 00:04:00 Exceptions 00:11:00 Handling Exceptions Part 1 00:08:00 Handling Exceptions Part 2 00:08:00 Module 10: Python Advanced Functions Python Advanced Functions Section Overview 00:05:00 Lambda Functions 00:05:00 Functions args and kwargs 00:10:00 Iterators 00:08:00 Generators and Yield 00:12:00 Map Function 00:14:00 Filter Function 00:08:00 Module 11: Python Scripting and Libraries Python Scripting and Libraries Section Overview 00:05:00 What is a script? 00:01:00 What is an IDE? 00:17:00 What is a text editor? 00:12:00 From Jupyter Notebook to VScode Part 1 00:15:00 From Jupyter Notebook to VScode Part 2 00:05:00 Importing Scripts 00:03:00 Standard Libraries 00:04:00 Third Party Libraries 00:06:00 Module 12: NumPy NumPy Section Overview 00:04:00 Why use NumPy? 00:04:00 NumPy Arrays 00:10:00 Reshaping, Accessing, and Modifying 00:07:00 Slicing and Copying 00:06:00 Inserting, Appending, and Deleting 00:10:00 Array Logical Indexing 00:04:00 Broadcasting 00:08:00 Module 13: Pandas Intro to Pandas 00:17:00 Pandas Series 00:17:00 Pandas Series Manipulation 00:17:00 Pandas DataFrame 00:17:00 Pandas DataFrame Manipulation 00:13:00 Dealing with Missing Values 00:10:00 Module 14: Introduction to OOP Functional vs OOP 00:06:00 OOP Key Definitions 00:04:00 Create your First Class 00:12:00 How to Create and Use Objects 00:06:00 How to Modify Attributes 00:12:00 Module 15: Advanced OOP Python Decorators 00:27:00 Property Decorator 00:09:00 Class Method Decorator 00:07:00 Static Methods 00:10:00 Inheritance from A to Z 00:21:00 Module 16: Starting a Career in Python Getting Started with Freelancing 00:09:00 Building A Brand 00:12:00 Personal Branding 00:13:00 Importance of Having Website/Blog 00:04:00 Do's and Don'ts of Networking 00:06:00 Creating A Python Developer Resume 00:06:00
Register on the Basic to Advanced UX Design today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Basic to Advanced UX Design course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of- Video lessons Online study supplies Assignment Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Course Content Unit 01: UX/UI Course Introduction Learn UX/UI Course Overview 00:05:00 Section Overview 00:04:00 UX vs UI 00:04:00 UX/UI Designer Marketplace 00:05:00 Overview of UX Roles 00:06:00 Unit 02: Introduction to the Web Industry Web Industry Section Overview 00:03:00 The Phases of Web Development 00:13:00 Designer Responsibilities (working in a team) 00:09:00 Roles & Descriptions (working in a team) 00:05:00 Agile Approach To Project Management 00:12:00 Scrum - Flexible Framework 00:06:00 Project Management Apps 00:13:00 XD Lesson - Introduction 00:13:00 Unit 03: Foundations of Graphic Design Graphic Design Section Overview 00:02:00 The Psychology of Color 00:13:00 Color Wheel & Color Schemes 00:06:00 Working with Fonts 00:10:00 Working With Icons 00:04:00 XD Lesson - Tools, Object Manipulation and Components 00:13:00 XD Lesson - Font Styles and Artboard Settings 00:07:00 Graphic Design Software Tools 00:03:00 Adobe XD lesson 4 - Icons & Vector Graphics 00:14:00 Unit 04: UX Design (User Experience Design) UX Design Section Overview 00:04:00 What is User Experience Design? (UX) 00:09:00 UX Design Process 00:03:00 The UX Analysis Process 00:08:00 Working with User Profiles 00:03:00 Understanding User Pain Points 00:03:00 XD Lesson 5 Class Project: Сompetitive Analysis 00:10:00 Developing a Persona Part 1 00:05:00 Developing a Persona Part 2 00:05:00 Customer Journey 00:04:00 Customer Journey vs Sales Funnel 00:04:00 3 Phases of a Sales Funnel 00:07:00 4 Stages of a Sales Funnel 00:06:00 Macro/Micro Conversions 00:05:00 Stages of Market Sophistication 00:06:00 Lead Generation Funnel 00:06:00 Digital Product Sales Funnel 00:05:00 7 Principles of Influence 00:12:00 Age Based Influence Triggers 00:06:00 Gender Influence Triggers 00:06:00 Interest Based Marketing 00:04:00 Understanding User Flow 00:08:00 XD Lesson 6 Class Project: Userflow - Your first UX deliverable 00:07:00 Working with Story Boards 00:05:00 XD Lesson 7 Class Project: Crafting a Story board 00:09:00 Working with Moodboards 00:04:00 XD Lesson 8 Class Project: Creating Moodboard 00:11:00 Sitemap & Information Architecture 00:07:00 XD Lesson - Class Project: App Architecture 00:09:00 Low and Hi Fidelity Wireframes 00:03:00 XD Lesson - Class Project: Login Screen Wireframe Using Material Design 00:08:00 Working with Prototypes 00:04:00 XD Lesson - Class Project: Home Screen Wireframe and Linking 00:07:00 XD Lesson - Class Project: Adding Interaction to Wireframes 00:10:00 Testing and Evaluating 00:11:00 UX Deliverables 00:03:00 UX Design Conclusion 00:01:00 Unit 05: UI Design (User Interface Design) UI Design Section Overview 00:03:00 UI Design Overview 00:03:00 Types of Interfaces 00:10:00 Landing Pages Overview 00:10:00 XD Lesson - Using Grids in XD 00:08:00 XD Lesson - Single Card design 00:13:00 UI Controls 00:07:00 UI Navigational Components 00:12:00 Header Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Header Design 00:10:00 XD Lesson - Mobile & Desktop: Dropdown Design 00:06:00 Common Layouts Overview 00:08:00 XD Lesson - Common Layouts 00:07:00 Mobile & Desktop Footer Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Footer Design 00:06:00 Mobile & Desktop Button Design Overview 00:05:00 XD Lesson - Mobile & Desktop: Button Design 00:10:00 XD Lesson - Mobile & Desktop: Input Design 00:07:00 Mobile & Desktop Filter Search Bar Design Overview 00:06:00 Adobe XD Lesson - Mobile & Desktop: Filter Design 00:07:00 Adobe XD Lesson - Mobile & Desktop: Search Design 00:03:00 UI Kit Overview 00:05:00 Adobe XD Lesson - Desktop and Mobile: UI Kit 00:06:00 Microinteractions Overview 00:05:00 Adobe XD lesson - Microinteractions 00:07:00 Unit 06: Optimization Optimization Section Overview 00:02:00 Feedback Review & Getting Referrals 00:04:00 'Above the Fold' Rule 00:04:00 Adobe XD lesson - Designing a Powerful Above the Fold 00:08:00 Using Analytics For Optimization 00:05:00 Heat Maps & Element Placements 00:04:00 Crafting A Usability Report Overview 00:08:00 Adobe XD lesson - Crafting Reports in XD 00:20:00 Unit 07: Starting a Career in UX/UI Design Careers in UX/UI Section Overview 00:06:00 Your Daily Productivity Hub 00:14:00 How To Start Freelancing 00:08:00 Client Consulting 00:04:00 Building a Brand 00:10:00 Personal Branding 00:07:00 The Importance of Having a Website 00:08:00 Creating a Logo 00:05:00 Step by Step Website Setup 00:17:00 UI Templates 00:06:00 Logo Templates 00:04:00 Creating a Business Email 00:06:00 Networking Do's and Don'ts 00:04:00 Top Freelance Websites 00:05:00 UX/UI Project Scope Questions 00:10:00 Laser Focus & Productivity Tools 00:06:00 The Places to Find UX Jobs 00:05:00
Course Overview Find the ultimate Python Developer roadmap by taking this 2021 Python Programming From Beginner to Expert course. Through this course, you will gain the fundamental skills to create your Python programs from scratch. In this step-by-step 2021 Python Programming From Beginner to Expert course, you will learn core Python skills from beginners to advanced features. The training begins by outlining the software installation procedure, guiding you through a series of Python basic data types, Python operators, advanced data types, Python functions and loops. You will learn how to handle errors in Python and comprehend the advanced functions in Python. The skills you develop in the program will enable you to create and run your first Python project. Enroll today and take your Python programming skills to the next level! Learning Outcomes Learn how to install Python on various operating systems Gain in-depth knowledge of the basic data types in Python Strengthen your knowledge of Python operators Learn about Python advanced data types Deepen your understanding of Python advanced functions Learn step-by-step how to handle errors Who is this course for? Anyone interested in learning Python programming and exploring the path to become a Python developer can take this 2021 Python Programming From Beginner to Expert course. This course opens the door for tremendous opportunities. 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 2021 Python Programming From Beginner to Expert course would be beneficial for any related profession or industry such as: Python Developer Python Programmer Product Manager Data Analyst Module 01: Introduction to Python Programming from A-Z Introduction To Python Section Overview 00:05:00 What is Python Programming? 00:10:00 Who is This Course For? 00:05:00 Python Programming Marketplace 00:06:00 Python Job Opportunities 00:05:00 How To Land a Python Job Without a Degree 00:08:00 Python Programmer Job Roles 00:09:00 Python from A-Z Course Structure 00:04:00 Module 02: Getting Familiar with Python Getting Familiar with Python Section Overview 00:06:00 Installing Python on Windows 00:10:00 Anaconda and Jupyter Notebooks Part 1 00:08:00 Anaconda and Jupyter Notebooks Part 2 00:16:00 Comments 00:05:00 Python Syntax 00:02:00 Line Structure 00:03:00 Line Structure Exercise 00:07:00 Joining Lines 00:05:00 Multiple Statements on a Single Line 00:05:00 Indentation 00:08:00 Module 03: Basic Data Types Basic Data Types Section Overview 00:08:00 String Overview 00:10:00 String Manipulation 00:07:00 String Indexing 00:04:00 String Slicing 00:08:00 Printing 00:10:00 Python Variables 00:08:00 Integers and Floats 00:08:00 Booleans 00:05:00 Mini Project 1 : Letter Counter 00:20:00 Module 04: Python Operators Python Operators Section Overview 00:04:00 Comparison Operators 00:09:00 Arithmetic Operators 00:08:00 Assignment Operators 00:04:00 Logical Operators 00:13:00 Identity Operators 00:05:00 Membership Operators 00:02:00 Bitwise Operators 00:08:00 Module 05: Advanced Data Types Python Advanced Data Types Section Overview 00:11:00 Sets 00:06:00 List Overview 00:05:00 List Slicing and Indexing 00:04:00 Tuples 00:02:00 Dictionaries 00:11:00 When to use each one? 00:05:00 Compound Data Types 00:03:00 Module 06: Control Flow Part 1 Control Flow Part 1 Section Overview 00:15:00 Introduction to Control Flow 00:01:00 Basic Conditional Statements 00:14:00 More Conditional Statements 00:05:00 For Loops 00:10:00 While Loops 00:12:00 Module 07: Control Flow Part 2 Control Flow Part 2 Section Overview 00:02:00 Break Statements 00:08:00 Continue Statements 00:05:00 Zip Function 00:07:00 Enumerate Function 00:04:00 List Comprehension 00:04:00 Module 08: Python Functions Python Functions Section Overview 00:03:00 Introduction to Functions 00:05:00 Python help Function 00:03:00 Defining Functions 00:09:00 Variable Scope 00:08:00 Doc Strings 00:04:00 Module 09: User Input and Error Handling User Input and Error Handling Section Overview 00:02:00 Introduction to Error Handling 00:03:00 User Input 00:04:00 Syntax Errors 00:04:00 Exceptions 00:11:00 Handling Exceptions Part 1 00:08:00 Handling Exceptions Part 2 00:08:00 Module 10: Python Advanced Functions Python Advanced Functions Section Overview 00:05:00 Lambda Functions 00:05:00 Functions args and kwargs 00:10:00 Iterators 00:08:00 Generators and Yield 00:12:00 Map Function 00:14:00 Filter Function 00:08:00 Module 11: Python Scripting and Libraries Python Scripting and Libraries Section Overview 00:05:00 What is a script? 00:01:00 What is an IDE? 00:17:00 What is a text editor? 00:12:00 From Jupyter Notebook to VScode Part 1 00:15:00 From Jupyter Notebook to VScode Part 2 00:05:00 Importing Scripts 00:03:00 Standard Libraries 00:04:00 Third Party Libraries 00:06:00 Module 12: NumPy NumPy Section Overview 00:04:00 Introduction to NumPy 00:04:00 Why use NumPy? 00:04:00 NumPy Arrays 00:10:00 Reshaping, Accessing, and Modifying 00:07:00 Slicing and Copying 00:06:00 Inserting, Appending, and Deleting 00:10:00 Array Logical Indexing 00:04:00 Broadcasting 00:08:00 Module 13: Pandas Introduction to Pandas 00:17:00 Pandas Series 00:17:00 Pandas Series Manipulation 00:17:00 Pandas DataFrame 00:17:00 Pandas DataFrame Manipulation 00:13:00 Dealing with Missing Values 00:10:00 Module 14: Introduction to OOP Functional vs OOP 00:06:00 OOP Key Definitions 00:04:00 Create your First Class 00:12:00 How to Create and Use Objects 00:06:00 How to Modify Attributes 00:12:00 Module 15: Advanced OOP Python Decorators 00:27:00 Property Decorator 00:09:00 Class Method Decorator 00:07:00 Static Methods Decorator 00:10:00 Inheritance 00:21:00 Module 16: Starting a Career in Python Python Career Section Overview 00:06:00 Getting Started with Freelancing 00:09:00 Building A Brand 00:12:00 Personal Branding 00:13:00 Importance of Having Website/Blog 00:04:00 Networking Do's and Don'ts 00:04:00 Top Freelance Websites 00:08:00 Creating A Python Developer Resume 00:06:00 Resources Resources - Python Programming Beginner to Expert Course 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Are you interested in learning more about UI/UX but don't know where to begin? This course will enable you to add UX designer to your resume and begin earning money for your new abilities. This course is for those who want to learn about UI/UX design. It begins from the very beginning and progresses in a step-by-step manner. In this course, you will get clear instruction on all steps of the UI/UX development process, from user research to establishing a project's strategy, scope, and information architecture, to building sitemaps and wireframes, in this course. You will study current UX design best practices and standards and use them to create effective and appealing screen-based experiences for websites or applications. By the end of the course, you'll have a diverse set of abilities that will allow you to work in the UI/UX design sector. The valuable certificate that comes with the course will enhance your value and make you stand out in the job market. This is the perfect course to kick start your career in the UI/UX design industry. So, enrol now and fast track your career ladder. Course Highlights Advanced Diploma in UI/UX Design is an award winning and the best selling course that has been given the CPD Qualification Standards & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Advanced Diploma in UI/UX Design into 110 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 12 hours, 52 minutes hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Advanced Diploma in UI/UX Design Lifetime access to the course No hidden fees or exam charges CPD Qualification Standards certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Advanced Diploma in UI/UX Design is CPD Qualification Standards and IAO accredited. 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 backgrounds. Requirements Our Advanced Diploma in UI/UX Design 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD Qualification Standards and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. UX/UI Course Introduction Learn UX/UI Course Overview 00:05:00 Section Overview 00:04:00 UX vs UI 00:04:00 UX/UI Designer Marketplace 00:05:00 Overview of UX Roles 00:06:00 Introduction To The Web Industry Web Industry Section Overview 00:03:00 The Phases of Web Development 00:13:00 Designer Responsibilities (working in a team) 00:09:00 Roles & Descriptions (working in a team) 00:05:00 Agile Approach To Project Management 00:12:00 Scrum - Flexible Framework 00:06:00 Project Management Apps 00:13:00 XD Lesson - Introduction 00:13:00 Foundations of Graphic Design Graphic Design Section Overview 00:02:00 The Psychology of Color 00:13:00 Color Wheel & Color Schemes 00:06:00 Working with Fonts 00:10:00 Working With Icons 00:04:00 XD Lesson - Tools, Object Manipulation and Components 00:13:00 XD Lesson - Font Styles and Artboard Settings 00:07:00 Graphic Design Software Tools 00:03:00 Adobe XD lesson 4 - Icons & Vector Graphics 00:14:00 UX Design (User Experience Design) UX Design Section Overview 00:04:00 What is User Experience Design? (UX) 00:09:00 UX Design Process 00:03:00 The UX Analysis Process 00:08:00 Working with User Profiles 00:03:00 Understanding User Pain Points 00:03:00 XD Lesson 5 Class Project: Сompetitive Analysis 00:10:00 Developing a Persona Part 1 00:05:00 Developing a Persona Part 2 00:05:00 Customer Journey 00:04:00 Customer Journey vs Sales Funnel 00:04:00 3 Phases of a Sales Funnel 00:07:00 4 Stages of a Sales Funnel 00:06:00 Macro/Micro Conversions 00:05:00 Stages of Market Sophistication 00:06:00 Lead Generation Funnel 00:06:00 Digital Product Sales Funnel 00:05:00 7 Principles of Influence 00:12:00 Age Based Influence Triggers 00:06:00 Gender Influence Triggers 00:06:00 Interest Based Marketing 00:04:00 Understanding User Flow 00:08:00 XD Lesson 6 Class Project: Userflow - Your first UX deliverable 00:07:00 Working with Story Boards 00:05:00 XD Lesson 7 Class Project: Crafting a Story board 00:09:00 Working with Moodboards 00:04:00 XD Lesson 8 Class Project: Creating Moodboard 00:11:00 Sitemap & Information Architecture 00:07:00 XD Lesson - Class Project: App Architecture 00:09:00 Low and Hi Fidelity Wireframes 00:03:00 XD Lesson - Class Project: Login Screen Wireframe Using Material Design 00:08:00 Working with Prototypes 00:04:00 XD Lesson - Class Project: Home Screen Wireframe and Linking 00:07:00 XD Lesson - Class Project: Adding Interaction to Wireframes 00:10:00 Testing and Evaluating 00:11:00 UX Deliverables 00:03:00 UX Design Conclusion 00:01:00 UI Design (User Interface Design) UI Design Section Overview 00:03:00 UI Design Overview 00:03:00 Types of Interfaces 00:10:00 Landing Pages Overview 00:10:00 XD Lesson - Using Grids in XD 00:08:00 XD Lesson - Single Card design 00:13:00 UI Controls 00:07:00 UI Components 00:12:00 Navigational Components 00:12:00 Header Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Header Design 00:10:00 XD Lesson - Mobile & Desktop: Dropdown Design 00:06:00 Common Layouts Overview 00:08:00 XD Lesson - Common Layouts 00:07:00 Mobile & Desktop Footer Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Footer Design 00:06:00 Mobile & Desktop Button Design Overview 00:05:00 XD Lesson - Mobile & Desktop: Button Design 00:10:00 XD Lesson - Mobile & Desktop: Input Design 00:07:00 Mobile & Desktop Filter Search Bar Design Overview 00:06:00 Adobe XD Lesson - Mobile & Desktop: Filter Design 00:07:00 Adobe XD Lesson - Mobile & Desktop: Search Design 00:03:00 UI Kit Overview 00:05:00 Adobe XD Lesson - Desktop and Mobile: UI Kit 00:06:00 Microinteractions Overview 00:05:00 Adobe XD lesson - Microinteractions 00:07:00 Optimization Optimization Section Overview 00:02:00 Feedback Review & Getting Referrals 00:04:00 'Above the Fold' Rule 00:04:00 Adobe XD lesson - Designing a Powerful Above the Fold 00:08:00 Using Analytics For Optimization 00:05:00 Heat Maps & Element Placements 00:04:00 Crafting A Usability Report Overview 00:08:00 Adobe XD lesson - Crafting Reports in XD 00:20:00 Starting a Career in UX/UI Design Careers in UX/UI Section Overview 00:06:00 Your Daily Productivity Hub 00:14:00 How To Start Freelancing 00:08:00 Client Consulting 00:04:00 Building a Brand 00:10:00 Personal Branding 00:06:00 The Importance of Having a Website 00:08:00 Creating a Logo 00:05:00 Step by Step Website Setup 00:17:00 UI Templates 00:06:00 Logo Templates 00:04:00 Creating a Business Email 00:06:00 Networking Do's and Don'ts 00:04:00 Top Freelance Websites 00:10:00 UX/UI Project Scope Questions 00:10:00 Laser Focus & Productivity Tools 00:06:00 The Places to Find UX Jobs 00:05:00