Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00
Overview This 2-day programme covers the latest techniques used for fixed income attribution. This hands-on course enables participants to get a practical working experience of fixed income attribution, from planning to implementation and analysis. After completing the course you will have developed the skills to: Understand how attribution works and the value it adds to the investment process Interpret attribution reports from commercial systems Assess the strengths and weaknesses of commercially available attribution software Make informed decisions about the build vs. buy decision Present results in terms accessible to all parts of the business Who the course is for Performance analysts Fund and portfolio managers Investment officers Fixed Income professionals (marketing/sales) Auditors and compliance Quants and IT developers Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now
Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Basic HTML 5 Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Basic HTML 5 Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Basic HTML 5 Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Basic HTML 5 Course, like every one of Study Hub's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Basic HTML 5? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD QS-accredited qualifications after course completion Receive one-to-one assistance 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 Basic HTML 5 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Basic HTML 5 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 skills. Prerequisites This Basic HTML 5 does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Basic HTML 5 was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Basic HTML 5 is a great way for you to gain multiple skills from the comfort of your home. Basic HTML 5 Module 01: HTML Introduction 00:04:00 Module 02: Layout and Elements 00:09:00 Module 03: Inline Elements 00:07:00 Module 04: Specific Elements 00:05:00 Module 05: CSS Introduction 00:02:00 Module 06: CSS Implementation 00:07:00 Module 07: CSS Elements 00:03:00 Module 08: Borders and Backgrounds 00:10:00 Module 09: Navigation Styling 00:07:00 Module 10: Tips and Tricks 00:06:00 Assignment Assignment - Basic HTML 5 00:59:00 Order Your Certificate Order Your Certificate QLS
Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Foundations of Artificial Intelligence Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Foundations of Artificial Intelligence Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Foundations of Artificial Intelligence Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Foundations of Artificial Intelligence Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Foundations of Artificial Intelligence? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 Foundations of Artificial Intelligence 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Foundations of Artificial Intelligence 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 skills. Prerequisites This Foundations of Artificial Intelligence does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Foundations of Artificial Intelligence was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Foundations of Artificial Intelligence is a great way for you to gain multiple skills from the comfort of your home. Module 1 Introduction to Artificial Intelligence Introduction to Artificial Intelligence 00:21:00 Module 2 Mathematics for AI Mathematics for AI 00:17:00 Module 3 Knowledge Representation in AI - Part 1 Knowledge Representation in AI - Part 1 00:18:00 Module 4 Knowledge Representation in AI - Part 2 Knowledge Representation in AI - Part 2 00:16:00 Module 5 Machine Learning - Part 1 Machine Learning - Part 1 00:16:00 Module 6 Machine Learning - Part 2 Machine Learning - Part 2 00:15:00 Module 7 Deep Learning Deep Learning 00:16:00 Module 8 Natural Language Processing Natural Language Processing 00:22:00 Module 9 Computer Vision Computer Vision 00:14:00 Module 10 Robotics Robotics 00:18:00 Module 11 Building AI Applications Building AI Applications 00:24:00
Overview This comprehensive course on Game Development using Cocos2d-x v3 C++ will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Game Development using Cocos2d-x v3 C++ 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 Game Development using Cocos2d-x v3 C++. It is available to all students, of all academic backgrounds. Requirements Our Game Development using Cocos2d-x v3 C++ 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 19 sections • 60 lectures • 03:59:00 total length •Course Introduction: 00:03:00 •Setting Up For iOS: 00:05:00 •Setting Up For Android on Mac: 00:11:00 •Setting Up For Android on Windows: 00:13:00 •Multi Resolution Support: 00:16:00 •Adding a Sprite: 00:04:00 •Positioning Using MoveBy: 00:03:00 •Positioning Using MoveTo: 00:03:00 •Positioning Using JumpBy: 00:03:00 •Positioning Using JumpTo: 00:03:00 •Positioning Using BezierBy: 00:04:00 •Positioning Using BezierTo: 00:03:00 •Positioning Using Place: 00:02:00 •Scaling Using ScaleBy: 00:03:00 •Scaling Using ScaleTo: 00:03:00 •Rotating Using RotateBy: 00:03:00 •Rotating Using RotateTo: 00:03:00 •Tinting Using TintBy: 00:03:00 •Tinting Using TintTo: 00:02:00 •Fading Using FadeTo: 00:02:00 •Fading Using FadeIn: 00:02:00 •Fading Using FadeOut: 00:02:00 •Repeat: 00:04:00 •RepeatForever: 00:03:00 •Sequence: 00:04:00 •Skewing Using SkewBy: 00:02:00 •Skewing Using SkewTo: 00:02:00 •Playing Sound Effect: 00:06:00 •Playing Sound Effect Repeatedly: 00:04:00 •Setting Sound Effect Volume: 00:03:00 •Stopping Sound Effect: 00:05:00 •Playing Music: 00:04:00 •Stopping Music: 00:03:00 •Pausing and Resuming Music: 00:04:00 •Setting Music Volume: 00:03:00 •Setting Up Single Touch Events: 00:04:00 •Touch Began Using onTouchBegan: 00:05:00 •Touch Moved Using onTouchMoved: 00:03:00 •Touch Ended Using onTouchEnded: 00:03:00 •Setting Up Multi Touch Events: 00:05:00 •Touches Began Using onTouchesBegan: 00:02:00 •Touches Moved Using onTouchesMoved: 00:03:00 •Touches Ended Using onTouchesEnded: 00:03:00 •Setting up A Menu: 00:03:00 •Adding a Menu Font Item: 00:07:00 •Adding a Menu Image Item: 00:05:00 •Menu Alignment: 00:02:00 •Creating a New Scene: 00:04:00 •Pushing a Scene: 00:05:00 •Popping a Scene: 00:03:00 •Replace a Scene: 00:05:00 •Scene Transitions !!: 00:03:00 •Sprite Animations: 00:04:00 •Accelerometer: 00:05:00 •Creating a New Project: 00:02:00 •Compiling a Project: 00:07:00 •Running a Project: 00:07:00 •Deploying a Project: 00:06:00 •Resource: 00:00:00 •Assignment - Conveyancing- Online Diploma Course: 3 days
Overview This comprehensive course on Flutter & Dart Development for Building iOS and Android Apps will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Flutter & Dart Development for Building iOS and Android Apps 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 Flutter & Dart Development for Building iOS and Android Apps. It is available to all students, of all academic backgrounds. Requirements Our Flutter & Dart Development for Building iOS and Android Apps 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 15 sections • 116 lectures • 09:41:00 total length •Introduction: 00:02:00 •Setup On Windows: 00:16:00 •Setup On Linux: 00:14:00 •Setup On Mac iOS: 00:14:00 •Setup On Mac Android: 00:12:00 •App Base Code: 00:03:00 •Text: 00:04:00 •Container.: 00:04:00 •Row.: 00:05:00 •Column.: 00:00:00 •Stack.: 00:02:00 •Image.: 00:06:00 •Center.: 00:02:00 •Padding.: 00:03:00 •Align.: 00:02:00 •Constrained Box.: 00:03:00 •Baseline Class.: 00:03:00 •Aspect Ratio: 00:03:00 •Sized Box: 00:02:00 •Transform: 00:03:00 •Pointers.: 00:06:00 •Tap.: 00:02:00 •Double Tap.: 00:02:00 •Long Press.: 00:03:00 •Vertical Drag.: 00:04:00 •Horizontal Drag.: 00:04:00 •Pan.: 00:04:00 •Scaffold.: 00:06:00 •App bar.: 00:05:00 •Bottom Navigation Bar.: 00:08:00 •TabBar View: 00:07:00 •Drawer.: 00:05:00 •SliverApp Bar: 00:07:00 •FlatButton: 00:04:00 •RaisedButton: 00:03:00 •DropdownButton: 00:09:00 •TextField: 00:04:00 •CheckBox.: 00:06:00 •Radio Button: 00:04:00 •PopupMenuButton: 00:07:00 •IconButton: 00:04:00 •ButtonBar: 00:03:00 •Floating Action Button: 00:04:00 •Switch.: 00:04:00 •Slider.: 00:05:00 •Date Picker.: 00:05:00 •Time Picker.: 00:07:00 •SimpleDialog.: 00:08:00 •AlertDialog: 00:06:00 •BottomSheet: 00:06:00 •Expansion Panel List and Expansion Panel: 00:07:00 •SnackBar: 00:07:00 •Cupertino Setup: 00:02:00 •Cupertino Action Sheet: 00:06:00 •Cupertino Activity Indicator: 00:01:00 •Cupertino Alert Dialog: 00:04:00 •Cupertino Button: 00:03:00 •CupertinoPageScaffold: 00:04:00 •CupertinoPicker: 00:04:00 •CupertinoPopupSurface: 00:04:00 •CupertinoSegmentedControl: 00:04:00 •CupertinoSlider: 00:04:00 •CupertinoSwitch: 00:03:00 •CupertinoNavigationBar: 00:04:00 •CupertinoTabBar: 00:05:00 •CupertinoTabScaffold: 00:04:00 •CupertinoTextField: 00:04:00 •Icons.: 00:04:00 •Chip.: 00:03:00 •Tooltip.: 00:02:00 •DataTable.: 00:09:00 •Card.: 00:06:00 •Linear Progress Indicator.: 00:03:00 •Circular Progress Indicator.: 00:04:00 •GridView: 00:03:00 •ListView & ListTile: 00:04:00 •Stepper & Step: 00:07:00 •Divider & divideTiles: 00:05:00 •Aligning Widgets: 00:03:00 •Sizing Widgets: 00:03:00 •Nesting Rows and Columns.: 00:03:00 •Add, Update and Delete Widgets: 00:06:00 •Navigate To A New Screen and Back.: 00:06:00 •Multiple Files For Each Screen: 00:03:00 •Send Data To A New Screen: 00:05:00 •Return Data From A Screen.: 00:05:00 •Navigate With Named Routes: 00:03:00 •Animating A Widget Across Screens: 00:02:00 •Tween Animation: 00:07:00 •Staggered Animation: 00:04:00 •Reverse and Stop Animations: 00:02:00 •Call Android Java Code: 00:08:00 •Send Parameters To Android Java Code: 00:07:00 •Call Android Kotlin Code: 00:08:00 •Send Parameters To Android Kotlin Code: 00:05:00 •Call iOS Objective-C Code: 00:10:00 •Send Parameters To iOS Objective-C Code: 00:05:00 •Call iOS Swift Code: 00:08:00 •Send Parameters To iOS Swift Code: 00:05:00 •Remove Debug Badge: 00:01:00 •Build & Release For Android: 00:04:00 •Build & Release For iOS: 00:06:00 •Fetch Data From The Internet: 00:13:00 •Making authenticated requests using HTTP Headers: 00:03:00 •Parsing JSON In The Background: 00:17:00 •Working With WebSockets: 00:10:00 •Reading & Writing Files On The Server Using SQL Injection Vulnerability.: 00:06:00 •Storing Key-Value Data On Disk: 00:03:00 •Data Persistence Using SQLite: 00:04:00 •Calculator Part 1 - TabBar Creation: 00:12:00 •Calculator Part 2 - Implementing The Tabs: 00:05:00 •Calculator Part 3 - Tab Persistence: 00:03:00 •Changing Android App Icon: 00:05:00 •Changing iOS App Icon: 00:01:00 •Change App Display Name.: 00:05:00 •Assignment - Flutter & Dart Development for Building iOS and Android Apps: 00:00:00
Overview This comprehensive course on Developing Game in Unity 3D will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Developing Game in Unity 3D 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 Developing Game in Unity 3D. It is available to all students, of all academic backgrounds. Requirements Our Developing Game in Unity 3D 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 12 sections • 38 lectures • 05:23:00 total length •Course Trailer: 00:02:00 •Lecture 01: Course Introduction: 00:01:00 •Lecture 02: Shader Graph UI Shader: Vignette: 00:06:00 •Lecture 03: Shader Graph UI Shader: Tileable Pattern: 00:08:00 •Lecture 04: Line Drawing: 00:10:00 •Lecture 05: Shader Graph UI Shader: Scratching Material: 00:12:00 •Lecture 06: Sampling: 00:12:00 •Lecture 07: Creating Board Image: 00:08:00 •Lecture 08: Creating Ticket Section: 00:08:00 •Lecture 09: Creating Ticket: 00:07:00 •Lecture 10: Scratching Integration Part 1: 00:12:00 •Lecture 11: Scratching Integration Part 2: 00:03:00 •Lecture 12: Win Settings: 00:07:00 •Lecture 13: Winning Panel Manager: 00:07:00 •Lecture 14: Button Manager: 00:06:00 •Lecture 15: Filling Board Images Part 1: 00:13:00 •Lecture 16: Filling Board Images Part 2: 00:08:00 •Lecture 17: Finish by Winning Images: 00:06:00 •Lecture 18: Game Loop: 00:06:00 •Lecture 19: Creating Scoreboard: 00:12:00 •Lecture 20: Creating Save and Load Manager: 00:07:00 •Lecture 21: Ticket Section Group One By One Ticket: 00:20:00 •Lecture 22: Ticket Section Group All At Once Ticket: 00:11:00 •Lecture 23: Any Sprite: 00:08:00 •Lecture 24: Section Random Color: 00:03:00 •Lecture 25: Ticket Provider: 00:07:00 •Lecture 26: Creating Main Menu: 00:06:00 •Lecture 27: Custom Animation System Part 1: 00:14:00 •Lecture 28: Custom Animation System Part 2: 00:13:00 •Lecture 29: Main Menu Animation: 00:04:00 •Lecture 30: Sections Animation: 00:08:00 •Lecture 31: Scoreboard Animation: 00:14:00 •Lecture 32: Winning Sprites Animation: 00:10:00 •Lecture 33: Scratching Finished Animation: 00:08:00 •Lecture 34: Winning Panel Animation: 00:19:00 •Lecture 35: Build the game For Mobile Phone: 00:05:00 •Lecture 36: Initial Scratching Animation: 00:12:00 •Resource - Developing Game in Unity 3D: 00:00:00
Overview This comprehensive course on Statistics & Probability for Data Science & Machine Learning will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistics & Probability for Data Science & Machine Learning 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 Statistics & Probability for Data Science & Machine Learning. It is available to all students, of all academic backgrounds. Requirements Our Statistics & Probability for Data Science & Machine Learning 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 10 sections • 89 lectures • 11:27:00 total length •Welcome!: 00:02:00 •What will you learn in this course?: 00:06:00 •How can you get the most out of it?: 00:06:00 •Intro: 00:03:00 •Mean: 00:06:00 •Median: 00:05:00 •Mode: 00:04:00 •Mean or Median?: 00:08:00 •Skewness: 00:08:00 •Practice: Skewness: 00:01:00 •Solution: Skewness: 00:03:00 •Range & IQR: 00:10:00 •Sample vs. Population: 00:05:00 •Variance & Standard deviation: 00:11:00 •Impact of Scaling & Shifting: 00:19:00 •Statistical moments: 00:06:00 •What is a distribution?: 00:10:00 •Normal distribution: 00:09:00 •Z-Scores: 00:13:00 •Practice: Normal distribution: 00:04:00 •Solution: Normal distribution: 00:07:00 •Intro: 00:01:00 •Probability Basics: 00:10:00 •Calculating simple Probabilities: 00:05:00 •Practice: Simple Probabilities: 00:01:00 •Quick solution: Simple Probabilities: 00:01:00 •Detailed solution: Simple Probabilities: 00:06:00 •Rule of addition: 00:13:00 •Practice: Rule of addition: 00:02:00 •Quick solution: Rule of addition: 00:01:00 •Detailed solution: Rule of addition: 00:07:00 •Rule of multiplication: 00:11:00 •Practice: Rule of multiplication: 00:01:00 •Solution: Rule of multiplication: 00:03:00 •Bayes Theorem: 00:10:00 •Bayes Theorem - Practical example: 00:07:00 •Expected value: 00:11:00 •Practice: Expected value: 00:01:00 •Solution: Expected value: 00:03:00 •Law of Large Numbers: 00:08:00 •Central Limit Theorem - Theory: 00:10:00 •Central Limit Theorem - Intuition: 00:08:00 •Central Limit Theorem - Challenge: 00:11:00 •Central Limit Theorem - Exercise: 00:02:00 •Central Limit Theorem - Solution: 00:14:00 •Binomial distribution: 00:16:00 •Poisson distribution: 00:17:00 •Real life problems: 00:15:00 •Intro: 00:01:00 •What is a hypothesis?: 00:19:00 •Significance level and p-value: 00:06:00 •Type I and Type II errors: 00:05:00 •Confidence intervals and margin of error: 00:15:00 •Excursion: Calculating sample size & power: 00:11:00 •Performing the hypothesis test: 00:20:00 •Practice: Hypothesis test: 00:01:00 •Solution: Hypothesis test: 00:06:00 •T-test and t-distribution: 00:13:00 •Proportion testing: 00:10:00 •Important p-z pairs: 00:08:00 •Intro: 00:02:00 •Linear Regression: 00:11:00 •Correlation coefficient: 00:10:00 •Practice: Correlation: 00:02:00 •Solution: Correlation: 00:08:00 •Practice: Linear Regression: 00:01:00 •Solution: Linear Regression: 00:07:00 •Residual, MSE & MAE: 00:08:00 •Practice: MSE & MAE: 00:01:00 •Solution: MSE & MAE: 00:03:00 •Coefficient of determination: 00:12:00 •Root Mean Square Error: 00:06:00 •Practice: RMSE: 00:01:00 •Solution: RMSE: 00:02:00 •Multiple Linear Regression: 00:16:00 •Overfitting: 00:05:00 •Polynomial Regression: 00:13:00 •Logistic Regression: 00:09:00 •Decision Trees: 00:21:00 •Regression Trees: 00:14:00 •Random Forests: 00:13:00 •Dealing with missing data: 00:10:00 •ANOVA - Basics & Assumptions: 00:06:00 •One-way ANOVA: 00:12:00 •F-Distribution: 00:10:00 •Two-way ANOVA - Sum of Squares: 00:16:00 •Two-way ANOVA - F-ratio & conclusions: 00:11:00 •Wrap up: 00:01:00 •Assignment - Statistics & Probability for Data Science & Machine Learning: 00:00:00