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151 Arithmetic courses in Cardiff delivered On Demand

Python Programming: Beginner To Expert

4.9(27)

By Apex Learning

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

Python Programming: Beginner To Expert
Delivered Online On Demand15 hours 27 minutes
£12

Tutorials - The Julia Programming Language

4.3(43)

By John Academy

Course Overview Julia is one of the highest performing programming languages. The Tutorials - The Julia Programming Language course is designed to train you in this valuable programing language. In this course, you will get equipped with the skills to code in Julia and add available skill sets to your resume. The Tutorials - The Julia Programming Language course will introduce you to the basic principles of Julia programming language. In this course, you will learn the steps to install Julia. You will get introduced to Julia variables, integers, sign function and more. The course will provide you with lectures based on Cher types and strings. You will start to understand all the functions of this programming language. The course will give you an extensive understanding of Julia Dict and type. By the end of the course, you will pick up all the valuable information and skills to use this language. Learn the ins and outs of Julia programming language from the Tutorials - The Julia Programming Language course. This course will increase your abilities and boost your employability in the relevant industry. Learning Outcomes Understand the process of installing Julia Familiarize yourself with Julia variables and functions Enrich your understanding of Cher types and strings Learn the details of conditional and non-conditional blocks Grasp the skills essential for Juila Dict operations Who is this course for? This Tutorials - The Julia Programming Language course is suitable for programmers, data scientists, or individuals who want to learn a new programming language. 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 Tutorials - The Julia Programming Language course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Programmer Data Scientist Introduction Learning Julia 00:01:00 Installing Julia 00:06:00 Installing Juno 00:04:00 Begin Dancing with Julia Julia Variables 00:05:00 Julia Integers and Floats 00:05:00 Julia Convert and Comparisons 00:03:00 Rounding Operations 00:05:00 Division Function 00:04:00 Sign Function and Power 00:05:00 Complex and Rational Numbers 00:05:00 Julia Chars and Strings Julia Char type 00:03:00 String Literals 00:02:00 Extract Char and String 00:02:00 Concatenate and Interpolate 00:03:00 isEqual and Comparisons 00:04:00 Find and OccursIn 00:05:00 Repeat and Regex 00:04:00 Julia Functions Julia Function Object 00:04:00 Function Return Type 00:06:00 Functions as Objects and Arguments 00:04:00 Operators as Functions 00:02:00 Anonymous Function 00:04:00 Function Arguments Tuples 00:05:00 Unpacking Tuples 00:02:00 Varargs 00:03:00 Optional Arguments 00:03:00 Keyword Arguments 00:03:00 Conditional and Non-Conditional Blocks Do Block 00:04:00 Compound Expression 00:02:00 If Statements 00:05:00 If Statement Return Value 00:02:00 Short Circuit Evaluation 00:03:00 Loops and Exceptions For Loop 00:02:00 Control and Nest For Loops 00:03:00 Exceptions 00:03:00 Julia Try and Catch 00:03:00 While Loop 00:02:00 Variable Scope 00:05:00 Arrays in Julia Arrays 00:04:00 Pop and Push 00:03:00 Multidimensional Arrays 00:03:00 Copying Arrays 00:02:00 Julia Dicts Dicts 00:02:00 Dict Operations 00:02:00 More Dict Operations 00:04:00 More Cool Dict Operations 00:03:00 One More Cool Dict Operation 00:04:00 Broadcasting 00:04:00 Julia Types Julia Types 00:01:00 Verify and Specify Types 00:03:00 More Verification and Specification 00:05:00 Julia Methods 00:02:00 Composite Types 00:05:00 Mutable Structs 00:02:00 Constructor Functions 00:04:00 Modules and Packages Julia Modules 00:02:00 Using Packages 00:04:00 User Defined Modules 00:05:00 Working with Text Files Reading Text Files 00:04:00 Writing To Text Files 00:03:00 Writing Collections To Files 00:02:00 Julia Date and Time Date And Time 00:03:00 Date Queries 00:02:00 Date Arithmetic 00:03:00 Meta Programming in Julia Meta Programming 00:02:00 Quoted Expression 00:04:00 Macros 00:02:00 REST APIs and MySQL Using Genie 00:04:00 Payloads and POST Requests 00:05:00 Julia and MySQL 00:08:00 DataFrames and Plots DataFrames 00:05:00 Plotting with Plots 00:02:00 Where to go from here 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Tutorials - The Julia Programming Language
Delivered Online On Demand4 hours 10 minutes
£18

Data Science & Machine Learning with Python

By IOMH - Institute of Mental Health

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

Data Science & Machine Learning with Python
Delivered Online On Demand10 hours 19 minutes
£10.99

Kotlin Programming: Android Coding Bible

4.5(3)

By Studyhub UK

Embark on a journey into the world of Android app development with our comprehensive Kotlin Programming: Android Coding Bible course. This in-depth training will equip you with the knowledge and skills to master Kotlin, a modern and powerful programming language specifically designed for Android development. Whether you're a complete beginner or an experienced programmer seeking to expand your skillset, this course will guide you through the fundamentals of Kotlin, covering topics such as syntax, data types, variables, operators, control flow statements, functions, error handling, and null safety. You'll gain a solid understanding of object-oriented programming principles and learn how to effectively utilize collections to manage and process data. Learning Outcomes Master the fundamentals of Kotlin programming language for Android development Gain a thorough understanding of syntax, data types, variables, operators, and control flow statements Learn how to create and utilize functions to structure and modularize code Effectively handle errors and exceptions to ensure robust and reliable applications Implement null safety mechanisms to prevent NullPointerExceptions and enhance code stability. Why choose this Kotlin Programming: Android Coding Bible 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 Kotlin Programming: Android Coding Bible course for? Aspiring Android developers seeking to master Kotlin programming language Individuals with prior programming experience looking to transition to Android development Software engineers aiming to expand their skillset with Kotlin and Android development expertise Students of computer science or related fields interested in learning Android app development Enthusiasts passionate about creating mobile applications for the Android platform. Career path Android Developer (£35,000 - £55,000) Senior Android Developer (£45,000 - £65,000) Android App Architect (£55,000 - £75,000) Mobile Application Developer (£30,000 - £50,000) Software Engineer (£40,000 - £60,000) Full-Stack Developer (£45,000 - £65,000) Prerequisites This Kotlin Programming: Android Coding Bible does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Kotlin Programming: Android Coding Bible 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 Section 01: Introduction & Setup Introduction To This Course 00:02:00 Windows Setup 00:13:00 Mac Setup 00:10:00 Linux Setup 00:12:00 Online Code Editor 00:02:00 Section 02: Basics Variables 00:06:00 Data Types 00:06:00 String 00:05:00 Array 00:07:00 Data Type Conversion 00:05:00 Comments 00:04:00 Arithmetic Operators 00:07:00 Relational Operators 00:06:00 Assignment Operators 00:06:00 Unary Operators 00:05:00 Bitwise Operators 00:09:00 Logical Operators 00:04:00 Input & Output 00:03:00 Section 03: Control Statements Conditional if Statement 00:05:00 When Statement 00:07:00 For Loop 00:04:00 While Loop 00:04:00 do while Loop 00:04:00 Break Statement 00:04:00 Continue Statement 00:04:00 Section 04: Functions Basic Functions 00:03:00 Function Parameters 00:04:00 Return Values 00:04:00 Recursion 00:04:00 Default & Named Arguments 00:06:00 Lambda Function 00:04:00 Higher Order Function 00:05:00 Inline Function 00:02:00 Section 05: Error/Exception Handling Try Catch Block 00:04:00 Try Catch Expression 00:05:00 Multiple Catch Block 00:05:00 Nested Try Catch Block 00:05:00 Finally Block 00:02:00 Throw Keyword 00:02:00 Section 06: NULL Safety Nullable & Non Nullable Types 00:03:00 Smart Cast 00:02:00 Unsafe and Safe Cast 00:03:00 Elvis Operator 00:04:00 Section 07: Collections List: listOf Function 00:06:00 List: mutableListOf Function 00:05:00 List: arrayListOf Function 00:06:00 Map: mapOf Function 00:07:00 Map: HashMap 00:08:00 Map: hashMapOf Function 00:05:00 Map: mutableMapOf Function 00:04:00 Set: setOf Function 00:04:00 Set: mutableSetOf Function 00:04:00 Set: HashSet 00:04:00 Section 08: Classes & Objects Basic Example 00:07:00 Nested and Inner Class 00:06:00 Constructors 00:05:00 Visibility Modifiers 00:06:00 Inheritance 00:05:00 Method Overriding 00:04:00 Property Overriding 00:02:00 Abstract Class 00:03:00 Superclass 00:03:00 Data Class 00:05:00 Multiple Class Inheritance & Interfaces 00:03:00 Sealed Class 00:03:00 Extension Function 00:03:00 Generics 00:05:00 Section 09: Extras Integer Type Range 00:05:00 Regex 00:04:00 Call Java from Kotlin 00:03:00 Call Kotlin from Java 00:02:00 Section 10: Resource Resource 00:00:00 Assignment Assignment - Kotlin Masterclass Programming Course: Android Coding Bible 00:00:00

Kotlin Programming: Android Coding Bible
Delivered Online On Demand5 hours 38 minutes
£10.99

Diploma in Children Entertainment

5.0(1)

By Course Gate

Are you drained when taking care of kids? Are you having difficulties in keeping up with their energy? If yes, then it's time for you to find other ways to keep them entertained and this Diploma in Children Entertainment is perfect for your needs Description: You'll discover that this diploma course for on point and full of significant learning, thoughts, techniques, strategies, and instruments as we've designed this course and book in view of one objective: set you on your way to a flourishing, satisfying vocation in children's entertainment. Children's entertainment is not an occupation. Children's entertainment is a calling, an occupation, much like what constrains a cleric to pick an existence devoted to the care of his group. In this course you will learn the necessary skills, knowledge and information of children entertainment.  Who is the course for? Professionals who are into the Children's Entertainment and people who want to improve their Children Entertainment. People who have an interest in Children's Entertainment What will I learn? Making a Living from Children's Entertainment Being a Part-time or Full-time in Children's Entertainment Where to Start How to Understand the Psychology of Little Kids How to Handle Groups of Children 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. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, 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 hard copy at a cost of £39 or in PDF format at a 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 recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of applying for NUS Extra Discount Card; 24/7 student support via email. Career Path: The Diploma in Children's Entertainment is a useful qualification to possess, and would be beneficial for the following careers: Child and Family Social Worker Early Childhood Educator Preschool, Kindergarten, and Elementary Teachers Pediatric Nutritionist or Dieticians Private Nanny. Course Curriculum Diploma in Children Entertainment Introduction 00:15:00 HOUSEHOLD GAMES AND AMUSEMENTS 01:30:00 CHURCH AND SCHOOL SOCIALS 01:30:00 OPTICAL ILLUSIONS 01:30:00 TABLE GAMES FOR ADULTS 01:30:00 OUTDOOR GAMES FOR ADULTS 01:00:00 HOLIDAY GAMES AND AMUSEMENTS 01:00:00 OUTDOOR GAMES FOR GIRLS 01:00:00 PASTIMES FOR CHILDREN 00:15:00 INDOOR GAMES FOR YOUNG CHILDREN 01:00:00 OUTDOOR GAMES FOR YOUNG CHILDREN 01:00:00 SINGING GAMES FOR CHILDREN 01:00:00 GAMES OF ARITHMETIC 01:00:00 ONE HUNDRED CONUNDRUMS 01:00:00 Mock Exam Mock Exam- Diploma in Children Entertainment 00:20:00 Final Exam Final Exam- Diploma in Children Entertainment 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Diploma in Children Entertainment
Delivered Online On Demand15 hours 10 minutes
£11.99

Master JavaScript with Data Visualization

4.7(160)

By Janets

Description Register on the Master JavaScript with Data Visualization 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 certificate as proof of your course completion. The Master JavaScript with Data Visualization 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, tablets, 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) 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 You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. 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 Introduction Getting Started Introduction to Getting Started 00:02:00 Course Curriculum 00:05:00 How to Get Pre-Requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask a Great Questions 00:02:00 FAQ's 00:01:00 Setting Up Local Development Environment What is JavaScript 00:09:00 Choosing Code Editor 00:03:00 Installing Code Editor (Sublime Text) 00:04:00 Installing Code Editor(Visual Studio Code) 00:07:00 Hello World Program 00:14:00 Getting Output 00:11:00 Summary 00:02:00 JavaScript Fundamentals Introduction 00:02:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Boolean 00:04:00 Arrays() 00:12:00 Objects 00:06:00 Comments 00:05:00 Summary 00:01:00 JavaScript Strings Introduction 00:02:00 Strings 00:06:00 String Formatting 00:05:00 String Methods 00:12:00 Summary 00:02:00 JavaScript Operators Introduction 00:02:00 Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 Summary 00:02:00 JavaScript Conditional Statements Introduction 00:02:00 If statement 00:04:00 If-else statement 00:05:00 If-else-if statement 00:04:00 Switch-case statement 00:09:00 Summary 00:01:00 JavaScript Control Flow Statements Introduction 00:02:00 While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Break 00:02:00 Continue 00:03:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 Summary 00:02:00 JavaScript Functions Introduction 00:02:00 Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 Function Bind() 00:06:00 Summary 00:01:00 Data Visualization (Google Chart) Introduction 00:01:00 How to Use Google chart script 00:04:00 Line Graph chart 00:14:00 Scatter plots chart 00:02:00 Bar chart 00:04:00 Pie chart 00:02:00 3D Pie chart 00:02:00 Summary 00:01:00 JavaScript Error Handling Introduction 00:01:00 Try-catch 00:05:00 Try-catch-finally 00:17:00 Summary 00:01:00 JavaScript Client-Side Validations Introduction 00:01:00 On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Password Strength Check Validation 00:04:00 Summary 00:01:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Master JavaScript with Data Visualization
Delivered Online On Demand6 hours 21 minutes
£25

JavaScript Masterclass: ES6 Modern Development

4.7(160)

By Janets

Register on the JavaScript Masterclass: ES6 Modern Development 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 an e-certificate as proof of your course completion. The JavaScript Masterclass: ES6 Modern Development 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 The JavaScript Masterclass: ES6 Modern Development Receive a e-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 materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. 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. Requirements: The online training is open to all students and has no formal entry requirements. To study the JavaScript Masterclass: ES6 Modern Development, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Section 01: Introduction Introduction To This Course 00:02:00 Setup on Windows 00:06:00 Setup on Mac OS X 00:05:00 Setup on Linux 00:08:00 Online Code IDE 00:02:00 Section 02: Basics Comments 00:05:00 Noscript Tag 00:02:00 Strict Mode 00:03:00 Console Output 00:02:00 Variables 00:04:00 Prompt 00:02:00 Functions 00:09:00 Arithmetic Operators 00:08:00 Comparison Operators 00:07:00 Logical Operators 00:04:00 Bitwise Operators 00:04:00 Assignment Operators 00:05:00 Conditional Operators 00:03:00 Type of Operator 00:02:00 Conditional Statements 00:06:00 Switch Statement 00:05:00 For Loop 00:05:00 For In Loop 00:03:00 While Loop 00:02:00 Do While Loop 00:03:00 Loops Advanced 00:03:00 Events 00:03:00 Cookies 00:05:00 Redirect Page 00:03:00 Dialog Box 00:04:00 Void Operator 00:03:00 Printing the Page 00:02:00 Section 03: Objects Number 00:04:00 Boolean 00:03:00 String 00:04:00 Date 00:05:00 Regular Expressions 00:04:00 Arrays 00:15:00 Math 00:04:00 HTML DOM 00:05:00 Section 04: Classes Simple Class Example 00:04:00 Variables 00:03:00 Functions 00:02:00 Static Functions 00:02:00 Instance of Operator 00:02:00 Class Inheritance 00:04:00 Method Overriding 00:03:00 Super Keyword 00:02:00 Section 05: Advanced Error Handling 00:03:00 Validation 00:05:00 Animation 00:10:00 Multimedia Controls 00:03:00 Image Map 00:03:00 Browser Navigator 00:04:00 Modules 00:04:00 Promises 00:06:00 Block Scope 00:04:00 Loop Labels 00:03:00 Variable Hoisting 00:02:00 Function Hoisting 00:01:00 Anonymous Functions 00:02:00 Arrow & Lambda Functions 00:02:00 Function Constructor 00:03:00 Generator Functions 00:06:00 Immediately Invoked Function Expressions 00:05:00 JavaScript URI 00:02:00 Template Literals 00:04:00 Map Collection 00:07:00 Set Collection 00:03:00 AJAX 00:08:00 Section 06: Resource Resource 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

JavaScript Masterclass: ES6 Modern Development
Delivered Online On Demand4 hours 46 minutes
£25

Kotlin Masterclass Programming Course: Android Coding Bible

4.7(160)

By Janets

Register on the Kotlin Masterclass Programming Course: Android Coding Bible 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 an e-certificate as proof of your course completion. The Kotlin Masterclass Programming Course: Android Coding Bible 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 The Kotlin Masterclass Programming Course: Android Coding Bible Receive a e-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 materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. 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. Requirements: The online training is open to all students and has no formal entry requirements. To study the Kotlin Masterclass Programming Course: Android Coding Bible, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Section 01: Introduction & Setup Introduction To This Course 00:02:00 Windows Setup 00:13:00 Mac Setup 00:11:00 Linux Setup 00:12:00 Online Code Editor 00:02:00 Section 02: Basics Variables 00:06:00 Data Types 00:06:00 String 00:05:00 Array 00:07:00 Data Type Conversion 00:05:00 Comments 00:04:00 Arithmetic Operators 00:07:00 Relational Operators 00:06:00 Assignment Operators 00:06:00 Unary Operators 00:05:00 Bitwise Operators 00:09:00 Logical Operators 00:04:00 Input & Output 00:03:00 Section 03: Control Statements Conditional if Statement 00:05:00 when Statement 00:07:00 For Loop 00:04:00 while Loop 00:04:00 do while Loop 00:04:00 Break Statement 00:04:00 Continue Statement 00:04:00 Section 04: Functions Basic Functions 00:03:00 Function Parameters 00:04:00 Return Values 00:04:00 Recursion 00:04:00 Default & Named Arguments 00:06:00 Lambda Function 00:04:00 Higher Order Function 00:05:00 Inline Function 00:02:00 Section 05: Error/Exception Handling Try Catch Block 00:04:00 Try Catch Expression 00:05:00 Multiple Catch Block77 00:05:00 Nested Try Catch Block 00:05:00 Finally Block 00:02:00 Throw Keyword 00:02:00 Section 06: NULL Safety Nullable & Non Nullable Types 00:03:00 Smart Cast 00:02:00 Unsafe and Safe Cast 00:03:00 Elvis Operator 00:04:00 Section 07: Collections List: listOf Function 00:06:00 List: mutableListOf Function 00:05:00 List: arrayListOf Function 00:06:00 Map: mapOf Function 00:07:00 Map: HashMap 00:08:00 Map: hashMapOf Function 00:05:00 Map: mutableMapOf Function 00:04:00 Set: setOf Function 00:04:00 Set: mutableSetOf Function 00:04:00 Set: HashSet 00:04:00 Section 08: Classes & Objects Basic Example 00:07:00 Nested and Inner Class 00:06:00 Constructors 00:05:00 Visibility Modifiers 00:06:00 Inheritance 00:05:00 Method Overriding 00:04:00 Property Overriding 00:02:00 Abstract Class 00:03:00 Superclass 00:03:00 Data Class 00:05:00 Multiple Class Inheritance & Interfaces 00:03:00 Sealed Class 00:03:00 Extension Function 00:03:00 Generics 00:05:00 Section 09: Extras Integer Type Range 00:05:00 Regex 00:04:00 Call Java from Kotlin 00:03:00 Call Kotlin from Java 00:02:00 Section 10: Resource Resource 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Kotlin Masterclass Programming Course: Android Coding Bible
Delivered Online On Demand5 hours 39 minutes
£25

The Complete Python Course including the Django Web Framework

By Packt

The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.

The Complete Python Course including the Django Web Framework
Delivered Online On Demand12 hours 55 minutes
£29.99

Programming in C - The Complete Course

By Packt

Strengthen your command over C language

Programming in C - The Complete Course
Delivered Online On Demand10 hours 52 minutes
£47.99