927 Python courses delivered Online

Do you want to prepare for your dream job but strive hard to find the right Data Scientist and Cybersecurity Engineer courses? Then, stop worrying, for our strategically modified Data Scientist and Cybersecurity Engineer bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega Data Scientist and Cybersecurity Engineer bundle that will exceed your expectations within your budget. The Data Scientist and Cybersecurity Engineer related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Data Scientist and Cybersecurity Engineer bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Scientist and Cybersecurity Engineer Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:Basic Data Analysis Course 02:Excel Data Analysis Course 03:2021 Python Programming From A-Z: Beginner To Expert Course 04:Python Data Science with Numpy, Pandas and Matplotlib Course 05:2021 Data Science & Machine Learning with R from A-Z Course 06:Mastering SQL Programming Course 07:Research Methods in Business Course 08:Cyber Security Incident Handling and Incident Response Course 09:Microsoft Azure 2017 Course 10:AZ-104: Microsoft Azure Administrator Course 11:Microsoft Azure Cloud Concepts Course 12:Advanced Excel Analytics Course 13:Statistics & Probability for Data Science & Machine Learning Course 14:Quick Data Science Approach from Scratch Course 15:R Programming for Data Science Course 16:Learn Python, JavaScript, and Microsoft SQL for Data science Course 17:Google Data Studio: Data Analytics Course 18:Introduction to Excel Data Tools and Data Management Course 19:Microsoft Access Tables and Queries Course 20:Microsoft Access Databases Forms and Reports Course 21:Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 22:VLOOKUP: Master Excel Formula VLOOKUP in 60 minutes! Course 23:Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 24:GDPR Course 25:Data Center Training Essentials: General Introduction Course 26:Web Scraping and Mapping Dam Levels in Python and Leaflet Course 27:Microsoft Power BI - Master Power BI in 90 Minutes! Course 28:PowerBI Formulas Course 29:Business Intelligence and Data Mining Course 30:Financial Ratio Analysis for Business Decisions 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Learning Outcomes of Data Scientist and Cybersecurity Engineer This tailor-made Data Scientist and Cybersecurity Engineer bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Data Scientist and Cybersecurity Engineer Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete Data Scientist and Cybersecurity Engineer training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Scientist and Cybersecurity Engineer bundle! This bundle is also ideal for professionals looking for career advancement. Requirements To participate in this Data Scientist and Cybersecurity Engineer course, all you need is - A smart device A secure internet connection And a keen interest in Data Analysis and Cyber Security Career path Upon completing this essential Data Scientist and Cybersecurity Engineer Bundle, you will discover a new world of endless possibilities. These Data Scientist and Cybersecurity Engineer courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.

Software Engineering Exclusive Bundle **19-in-1 Premium Software Engineering Training Bundle** Software development is one of the most in-demand occupations, and the UK is an excellent place to begin your career in this industry. To be honest, regardless of your background and experiences, a particular skill set is also essential. So here's how we can assist you. We provide a full 19-in-1 Software Engineering bundle course to train you in a range of programming languages, software design, information systems, and databases. In this software engineering course, you will learn the fundamentals of software engineering, such as how to analyse algorithms and use arrays and link lists as well. This course will cover several fundamental programming concepts before going on to more advanced topics. You will learn the core concepts of stacks and queues, storing algorithms, trees, heaps and many more. This software engineering course is a great place to start if you're looking to start a new career in software engineering/ hone your existing software engineering skills and acquire relevant competencies. This software engineering program is for anyone interested in gaining in-demand skills to help launch a career as a software engineering personnel or improve their business aptitude. All through this self-paced software engineering training, you will engage yourself in the role of a software engineering personeel and acquire the necessary software engineering skills to work with a variety of concepts to gain a competitive advantage in the employment market. Along with this Software Engineering course, you will get 19 premium courses, an original hardcopy, 19 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. Learning Outcomes of Software Engineering: Coding & Web Development By the end of this course, participants will be able to: Get an overview of software engineering. Learn to analyse algorithms. Learn how to work with arrays and linked lists. Improve your understanding of stacks and queues. Gain a better knowledge of trees and heaps. Recognise the importance of sorting algorithms. Learn WSDL, Load, Security, REST and Functional Testing in SOAP UI Be a competent programmer in python Get a solid foundation in JavaScript Learn Machine learning with Python Code with HTML, CSS, & Javascript Enrol now in Software Engineering to advance your career, and use the premium study materials from Apex Learning. Software Engineering: Coding & Web Development The Software Engineering bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Software Engineering expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn Software Engineering from any place in your own time without travelling for classes. This Software Engineering Bundle Consists of the following Premium courses: Course 01: Computer Science With Python Course 02: Testing using SOAP UI Course 03: Python Programming for Everybody Course 04: JavaScript Foundations for Everyone Course 05: Machine Learning with Python Course 06: Coding with HTML, CSS, & Javascript Course 07: Django Rest Framework Level 4 Course 08: Data Structures Complete Course Course 09: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 10: Learn Linux in 5 Days Course 11: Level 2 Adobe Graphics Design Course Course 12: Level 5 CAD Designer Training Course 13: Computer Networks Security Course 14: jQuery: JavaScript and AJAX Coding Bible Course 15: GDPR Data Protection Level 5 Course 16: Secure Programming of Web Applications Course 17: Cyber Security Incident Handling and Incident Response Course 18: Computer Hacking Forensic Investigator Course 19: Essential IT Skills Level 3 Certificate: PDF Certificate: Free (Previously it was £6*19 = £114) Hard Copy Certificate: Free (For The Diploma in Computer Programming Course: Previously it was £10) CPD 205 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Software Engineering: Coding & Web Development Anyone from any background can enrol in this Software Engineering bundle. Requirements Software Engineering: Coding & Web Development This Software Engineering course has been designed to be fully compatible with tablets and smartphones. Career path Software Engineering: Coding & Web Development The opportunities in the world of software are limitless and rising all the time. The top career paths to pursue with the bundle of Software Engineering courses are given below, Software Engineer Front-end Software Developer Web Developer The average salary of these professions ranges from £30,000 to £90,000 per annum in the UK. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course Diploma in Computer Programming absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Sale Ends Today JavaScript Application Programming - CPD Certified Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Till date, JavaScript remains the backbone of interactive web applications worldwide, with over 95% of all websites using it in some form. In the rapidly evolving digital landscape, mastering JavaScript is more than a skill, rather, it's a necessity. The JavaScript Application Programming bundle is designed to transform you from a novice to a master developer, and elevate your programming skills to set the web on fire. The JavaScript Application Programming bundle provides a comprehensive exploration into JavaScript and its powerful ecosystem. Starting with JavaScript Foundations for Everyone, the course progressively covers advanced topics such as JavaScript Functions and JavaScript Promises, ensuring a deep understanding of core concepts. Additional modules like jQuery, WebGL 3D Programming, and Web GIS Application Development with ASP.NET CORE MVC expand your skillset into creating dynamic, data-driven web applications along with courses in other essential languages such as Python, C#, and SQL. Courses Are Included In This JavaScript Application Programming - CPD Certified Bundle: Course 01: JavaScript Foundations for Everyone Course 02: JavaScript Functions Course 03: JavaScript Promises Course 04: jQuery: JavaScript and AJAX Coding Bible Course 05: Java Certification Cryptography Architecture Course 06: Master JavaScript with Data Visualisation Course 07: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 08: Kotlin Programming: Android Coding Bible Course 09: Secure Programming of Web Applications Course 10: Web GIS Application Development with C# ASP.NET CORE MVC and Leaflet Course 11: Mastering SQL Programming Course 12: Complete Microsoft SQL Server from Scratch: Bootcamp Course 13: Ultimate PHP & MySQL Web Development & OOP Coding Course 14: SQL for Data Science, Data Analytics and Data Visualisation Course 15: Quick Data Science Approach from Scratch Course 16: Python Programming Bible Course 17: Python Programming from Scratch with My SQL Database Course 18: Machine Learning with Python Course Course 19: HTML Web Development Crash Course Course 20: CSS Web Development Course 21: Three.js & WebGL 3D Programming Course 22: Basics of WordPress: Create Unlimited Websites Course 23: Masterclass Bootstrap 5 Course - Responsive Web Design Course 24: C++ Development: The Complete Coding Guide Course 25: C# Basics Course 26: C# Programming - Beginner to Advanced Course 27: Stripe with C# Course 28: C# Console and Windows Forms Development with LINQ & ADO.NET Course 29: Cyber Security Incident Handling and Incident Response Course 30: Computer Networks Security from Scratch to Advanced Don't miss the chance to become a versatile and highly skilled software developer with our JavaScript Application Programming course. Aim to start your own tech venture, work for a top tech company, or freelance as a developer, this course will provide you with the skills needed to succeed. Enrol today to take the first step towards a lucrative career in software development, where your ability to innovate and solve complex problems will shape the future of technology! Learning Outcomes of this Bundle: Master fundamental and advanced JavaScript programming techniques. Learn to implement interactive web features using jQuery and AJAX. Develop proficiency in data visualisation with JavaScript. Understand and apply Python, C#, and SQL in web development contexts. Create responsive and secure web applications using Bootstrap and C#. Manage and deploy sophisticated web-based GIS applications. With this JavaScript Application Programming - CPD Certified course, you will get 30 CPD Accredited PDF Certificates, a Hard Copy Certificate and our exclusive student ID card absolutely free. Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! The JavaScript Application Programming course bundle is an exceptional resource for those looking to dive deep into the world of modern web development. By mastering fundamental and advanced JavaScript programming techniques, learners will gain the ability to create dynamic and interactive web applications that are both efficient and visually appealing. This foundational knowledge is essential, as JavaScript remains a critical tool for front-end development, enabling developers to implement complex features that improve user experience and site functionality. Beyond the basics, the course introduces students to data visualisation with JavaScript, which is an increasingly important skill in the tech industry. Additionally, the inclusion of frameworks like jQuery and Bootstrap ensures that learners can streamline their coding process and design responsive layouts that adapt to different devices, a must-have in today's mobile-first world. Learners will also develop proficiency in other programming languages such as Python, C#, and SQL, which are integral to backend development and database management. Moreover, this diploma offers learners the opportunity to acquire a Recognised Qualification that is highly valued in the field of JavaScript. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the JavaScript setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to JavaScript related fields impacting their JavaScript experiences and long-term development. Course Curriculum Course 01: JavaScript Foundations for Everyone Module 01: About the Author Module 02: Introduction to JavaScript Module 03: Strengths and Weaknesses of JavaScript Module 04: Writing JavaScript in Chrome Module 05: JavaScript Variables Module 06: Demo of JavaScript Variables Module 07: Basic Types of JavaScript Module 08: JavaScript Boolean Module 09: JavaScript Strings Module 10: JavaScript Numbers Module 11: JavaScript Objects Module 12: Demo of JavaScript Objects Module 13: JavaScript Arrays Module 14: Demo of JavaScript Arrays Module 15: JavaScript Functions Module 16: Demo of JavaScript Functions Module 17: JavaScript Scope and Hoisting Module 18: Demo of JavaScript Scope and Hoisting Module 19: Currying Functions Module 20: Demo of Currying Functions Module 21: Timeouts and Callbacks Module 22: Demo of Timeouts and Callbacks Module 23: JavaScript Promises Module 24: Demo of JavaScript Promises Module 25: Demo of Javascript Async Module 26: Flow Control Module 27: Demo of Flow Control Module 28: JavaScript For Loop Module 29: Demo of JavaScript For Loop Module 30: Demo of Switch Statements Module 31: Error Handling Module 32: Demo Project Course 02: JavaScript Functions Module 01: Introduction Module 02: Defining And Invoking Functions Module 03: Function Scope Module 04: Composing Functions Module 05: Asynchronous Functions Course 03: JavaScript Promises Module 01: JavaScript Promises Module 02: Understanding Promises Module 03: Using Promises Module 04: Multiple Promises Module 05: Handling Errors With Promises =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring software developers. Web developers. Computer science students. Tech industry professionals. Entrepreneurs in tech. Career changers. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Web Developer: $40,000 - $85,000 Software Developer: $50,000 - $120,000 Full-Stack Developer: $60,000 - $120,000 Data Analyst: $45,000 - $85,000 Systems Engineer: $60,000 - $130,000 Cyber Security Analyst: $60,000 - $100,000 Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited e-Certificate - Free Enrolment Letter - Free Student ID Card - Free CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.

***24 Hour Limited Time Flash Sale*** Statistics for Data Science & Machine Learning Level 7 Advanced Diploma Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Statistics for Data Science & Machine Learning Level 7 Advanced Diploma Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Statistics for Data Science & Machine Learning Level 7 Advanced Diploma bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Statistics for Data Science & Machine Learning Level 7 Advanced Diploma Online Training, you'll receive 20 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Statistics for Data Science & Machine Learning Level 7 Advanced Diploma Career Bundle: Course 01: Statistics for Data Science & Machine Learning Course 02: Data Science & Machine Learning with R Training Course 03: R Programming for Data Science Course 04: Statistical Concepts in R Course 05: Learn Python, JavaScript, and Microsoft SQL for Data Science Course 06: Data Science & Machine Learning with Python Course 07: Spatial Data Visualization and Machine Learning in Python Course 08: Azure Machine Learning Course 09: Python Data Science Course 10: Python Data Science with Numpy, Pandas, and Matplotlib Course 11: Quick Data Science Approach from Scratch Course 12: Learn MySQL from Scratch for Data Science and Analytics Course 13: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Course 14: Statistical Analysis Course 15: Statistics Essentials Course 16: Data Analysis In Excel Course 17: Microsoft Excel Course for Everyone - Complete the Excel Course Course 18: Introduction to Discrete Maths Course 19: Advanced Mathematics Training Course 20: Computer Simulation of Realistic Mathematical Models With Statistics for Data Science & Machine Learning Level 7 Advanced Diploma, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. With 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Don't let this opportunity pass you by. Enrol in Statistics for Data Science & Machine Learning Level 7 Advanced Diploma today and take the first step towards achieving your goals and dreams. Why buy this Advanced Diploma? Free CPD Accredited Certificate upon completion of Statistics for Data Science & Machine Learning Level 7 Advanced Diploma Get a free student ID card with Statistics for this Course. Lifetime access to the course materials Get instant access to this course Learn Statistics for Data Science & Machine Learning Level 7 Advanced Diploma from anywhere in the world 24/7 tutor support with the Statistics for Data Science & Machine Learning Level 7 Advanced Diploma course. Start your learning journey straightaway with our Statistics for Data Science & Machine Learning Level 7 Advanced Diploma Training! Statistics for Data Science & Machine Learning Level 7 Advanced Diploma premium bundle consists of 20 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Statistics for Data Science & Machine Learning Level 7 Advanced Diploma is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Statistics for Data Science & Machine Learning Level 7 Advanced Diploma course. After passing the Statistics for Data Science & Machine Learning Level 7 Advanced Diploma exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Requirements This Statistics for Data Science & Machine Learning Level 7 Advanced Diploma doesn't require prior experience and is suitable for diverse learners. Career path This Statistics for Data Science & Machine Learning Level 7 Advanced Diploma bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Have you ever wondered why HTML is often considered the cornerstone of web development in the UK? As we journey deeper into the digital age, coding skills have evolved from a niche expertise to an essential ability for many professionals. Our meticulously curated Coding (Computer Programming) course bundle presents eight essential courses, leading you from the elementary tenets of coding to more advanced facets of IT and networking. Begin your journey with 'Introduction to Coding With HTML, CSS, & Javascript', delve deeper with 'Python Programming', harness the power of 'R Programming for Data Science', and so much more. As our global landscape grows more interconnected and digital, mastering coding and IT skills is a wise investment for your professional future. The 20 courses are: Introduction to Coding With HTML, CSS, & Javascript C++ Development: The Complete Coding Guide Python Programming: Beginner To Expert Learn Ethical Hacking From A-Z: Beginner To Expert Bash Scripting, Linux and Shell Programming JavaScript Project - Game Development with JS R Programming for Data Science Secure Programming of Web Applications Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku The Complete Front-End Web Development Course! The Complete MySQL Server from Scratch: Bootcamp Cyber Security Awareness Training Cloud Computing / CompTIA Cloud+ (CV0-002) CompTIA A+ (220-1001) Building Your Own Computer Computer Networks Security from Scratch to Advanced IT Administration and Networking Encryption Advance Windows 10 Troubleshooting for IT HelpDesk Microsoft Excel Complete Course 2019 Learning Outcomes Establish a foundational grasp of coding languages such as HTML, CSS, and Javascript. Achieve skills in Python and R programming suited for varied applications. Grasp core principles of cyber security and the realm of ethical hacking. Develop an adept understanding of IT administration, networking, and intricate computer systems. Delve into the nuances of cloud computing while gaining insights into web application security. Elevate your proficiency in bash scripting, navigating Linux, and mastering shell programming. Embark on your coding voyage with 'Introduction to Coding With HTML, CSS, & Javascript'. Penetrate the world of object-oriented paradigms with 'C++ Development: The Complete Coding Guide'. Journey through dynamic scripting landscapes in 'Python Programming: Beginner To Expert'. Defend the digital domain through 'Learn Ethical Hacking From A-Z: Beginner To Expert'. Wield the terminal's power with 'Bash Scripting, Linux and Shell Programming'. Sculpt compelling digital arenas in 'JavaScript Project - Game Development with JS'. Unravel data's mysteries with 'R Programming for Data Science'. Fortify your web fortresses with 'Secure Programming of Web Applications'. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Coding novices embarking on their digital odyssey. Established professionals aspiring to diversify their coding toolkit. Visionary entrepreneurs desiring coding insights for their ventures. Academics striving for a blend of theoretical and applicable tech wisdom. Coding enthusiasts ready to plunge into the expansive universe of tech and IT. Career path Web Developer - £20K to £50K/year. Python Programmer - £30K to £60K/year. Data Scientist (R Programming) - £40K to £80K/year. Ethical Hacker - £35K to £70K/year. IT Administrator - £25K to £55K/year. Cloud Solutions Architect - £45K to £90K/year. Cybersecurity Analyst - £35K to £65K/year. Certificates CPD Certificate Of Completion Digital certificate - Included 20 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99

Description Register on the Web Development Bootcamp: Learn Web Development from Scratch 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 Web Development Bootcamp: Learn Web Development from Scratch 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 Section 01: Getting Started Introduction 00:03:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask a Great Questions 00:01:00 FAQ's 00:01:00 Section 02: HTML Introduction HTML 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Structure of a Full HTML Webpage 00:07:00 First Hello World! Webpage 00:09:00 Section 03: HTML Basic Heading tags 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 List Items Ordered 00:04:00 Classes 00:09:00 IDs 00:06:00 Comments 00:04:00 Section 04: HTML Intermediate Images 00:12:00 Forms 00:05:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 Section 05: HTML Advanced HTML Audio 00:07:00 HTML Video 00:05:00 Canvas 00:06:00 Iframes 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 Registration Form 00:04:00 Contact Us Form 00:10:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:02:00 Section 06: JavaScript Introduction What is JavaScript 00:09:00 Hello World Program 00:14:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 Section 07: JavaScript Basics Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Strings 00:06:00 String Formatting 00:05:00 Section 08: JavaScript Operators Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 Section 09: JavaScript Conditional Statements If-else statement 00:05:00 If-else-if statement 00:04:00 Section 10: JavaScript Control Flow Statements While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 Section 11: JavaScript Functions Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 Section 12: JavaScript Error Handling Try-catch 00:05:00 Try-catch-finally 00:17:00 Section 13: JavaScript Client-Side Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Section 14: Python Introduction Introduction to Python 00:02:00 Python vs Other Languages 00:04:00 Why It's Popular 00:04:00 Command Line Basics 00:07:00 Python Installation (Step By Step) 00:06:00 PyCharm IDE Installation 00:08:00 Getting Start PyCharm IDE 00:05:00 First Python Hello World Program 00:07:00 Section 15: Python Basic Variables 00:16:00 Data Types 00:13:00 Type Casting 00:07:00 User Inputs 00:08:00 Comments 00:04:00 Section 16: Python Strings Strings 00:05:00 String Indexing 00:05:00 String Slicing 00:04:00 String Built-in Functions 00:09:00 Formatting String (Dynamic Data) 00:05:00 Section 17: Python Operators Arithmetic Operators 00:08:00 Assignment Operators 00:05:00 Comparison Operators 00:05:00 Logical Operators 00:02:00 AND Operator 00:04:00 OR Operator 00:02:00 NOT Operator 00:03:00 Booleans 00:02:00 Section 18: Python Data Structures Arrays in Earler 00:02:00 Lists 00:06:00 Add List Items 00:03:00 Remove List Items 00:01:00 Sort Lists 00:03:00 Join Lists 00:08:00 Tuples 00:08:00 Update tuples 00:07:00 Join tuples 00:02:00 Dictionaries 00:06:00 Add Dictionary Items 00:04:00 Remove Dictionary Items 00:03:00 Nested Disctionaries 00:04:00 Sets 00:04:00 Add Set Items 00:03:00 Remove Set Items 00:01:00 Join Set Items 00:04:00 Section 19: Python Conditional Statements If Statement 00:03:00 If-else Statement 00:04:00 If-elif-else Statement 00:04:00 If Statement Coding Excercise 00:05:00 Section 20: Python Control Flow Statements Flow Charts 00:06:00 While Loops Statement 00:10:00 For Loops Statement 00:06:00 The range() Function 00:04:00 Nested Loops 00:04:00 2D List using Nested Loop 00:04:00 Section 21: Python Core Games Guessing Game 00:07:00 Car Game 00:10:00 Section 22: Python Functions Creating a Function 00:03:00 Calling a Function 00:06:00 Function with Arguments 00:05:00 Section 23: Python Args, KW Args For Data Science args, Arbitary Arguments 00:04:00 kwargs, Arbitary Keyword Arguments 00:06:00 Section 24: Python Project Project Overview 00:04:00 ATM RealTime Project 00:13:00