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After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) Curriculum: Course 01: Diploma in PHP Web Development Introduction Environment Configuration PHP Basics and Syntax PHP Forms and MySQL and User Authentication Course 02: HTML Web Development for Beginners Setup and Overview Basic Tags Headings Lists Links Images Tables Advanced Tables Meta Tags Description Lists Presentation Iframe Video Audio Forms CSS JavaScript Course 03: Create Your First Responsive Website Introduction Project Files Project Setup Website Structure Part-1 Website Structure Part-2 Chrome Dev Tools Top Menu Image Area Service Responsive Page Conclusion Course 04: WordPress Website Creation and Hosting System with Affiliate Marketing! Section 01: I Wish this Class Was Available for me When I Started My Business Online! Executive Summary of My Website with WordPress Section 02: Introduction Part 1: Best WordPress Website Creation and Hosting System with Affiliate Marketing! How to Build the Website, Hire Help, and Earn Money Making Websites on Upwork Affiliate Marketing Setup with Footer Links Plus a Bitly Custom Short Domain What Email Marketing Provider Do I Use? The System I Used to Get 400 Blog Posts on My Website Fast in My Voice WordPress Plugins, Collecting Emails, Consistency, and More Questions Section 03: Introduction Part 2: Why I Switched to the Google Cloud Platform Managed by Kinsta With My Faster Website Hosting, I have Improved my Website Rapidly! Why I Deleted My Email List! Section 04: Thank You for Watching! Course 05: Computer Science With Python Module 01: Introduction Module 02: Getting Started Module 03: Procedures and Loops Module 04: How to Manage Data Course 06: Python Programming for Everybody Course 07: Complete Web Application Penetration Testing & Security Course 08: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 09: Web Design in Affinity Designer Course 10: Advanced Diploma in User Experience UI/UX Design Course 11: Level 2 Adobe Graphics Design Course Course 12: Diploma in Animation Design Course 13: Cyber Security Incident Handling and Incident Response Course 14: CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Web Development bundle. Requirements Our Web Development course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Web Development expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included
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Course Overview: The demand for web developers is snowballing. According to the Bureau of Labor Statistics, employment of web developers is projected to grow 22 percent from 2020 to 2030, much faster than the average for all occupations. Are you eager to craft powerful web applications that captivate users and drive business growth? Look no further! This Building Web Applications with Django and PostgreSQL course will equip you with the essential skills to master Django, a versatile web framework, and PostgreSQL, a robust database management system. "Numbers don't lie" - the soaring popularity of Python-based web frameworks like Django is a testament to their relevance and demand in the industry. As you delve into this course, you'll be pleased to know that recent surveys have highlighted Django's dominance in the web development market. Gain a competitive edge as you learn from seasoned professionals, and dive into the world of web development with confidence. Take advantage of this golden opportunity! Enrol now to embark on an exciting journey of learning and transformation. Key Features of the Course: Unleash your potential with a CPD certificate upon course completion, solidifying your expertise in web application development. Enjoy an uninterrupted learning experience with our 24/7 Learning Assistance, ensuring that you have the support you need whenever you need it. Embrace an interactive and engaging learning journey with captivating materials, real-world projects, and quizzes that inspire you. Who is This Course For? If you aspire to become a web developer, programming virtuoso, or IT enthusiast, this Building Web Applications with Django and PostgreSQL course is tailor-made. Whether you're just starting or an experienced developer looking to enhance your skill set, our course caters to learners of all levels, fostering an inclusive and supportive learning environment. What You Will Learn: Seamlessly set up Python and PyCharm IDE on diverse platforms. Unravel the architectural marvels of Django, and build your first Django app. Embrace the power of PostgreSQL for web applications and configure it flawlessly. Harness the potential of Django's built-in ORM for streamlined database interactions. Implement foolproof user authentication and authorisation mechanisms. Craft dynamic web pages using HTML, templates, and Bootstrap. Design visually stunning product card items to elevate your web applications. Why Enrol in This Course: Your success story begins with us, where you'll gain in-demand skills to create sophisticated web applications that thrive in today's digital landscape. Experience the best as you join our top-reviewed course, regularly updated to stay ahead of industry trends. With hands-on experience and industry-relevant skills, you'll elevate your employability and unlock doors to exciting opportunities. Requirements: A basic understanding of Python A computer with Python installed Career Path: Upon completion, embark on a rewarding career path in web development with diverse options, including: Web Developer - £35,000 to £55,000 per annum Full-Stack Developer - £40,000 to £65,000 per annum Django Developer - £45,000 to £70,000 per annum Python Developer - £40,000 to £65,000 per annum Frontend Developer - £30,000 to £50,000 per annum Backend Developer - £40,000 to £65,000 per annum Database Administrator - £35,000 to £55,000 per annum Certification: The crowning achievement of your learning endeavour awaits as you earn your well-deserved CPD certificate. Recognised and esteemed across industries, this certificate will validate your proficiency in building web applications with Django and PostgreSQL. Take the first step towards excellence and enrol in our course today! Course Curriculum 10 sections • 53 lectures • 04:52:00 total length •Introduction: 00:04:00 •Getting started on Windows, macOS, and Linux: 00:01:00 •How to ask great questions: 00:02:00 •FAQs: 00:01:00 •Installing Python: 00:07:00 •Installing PyCharm IDE for development: 00:12:00 •Creating the first Python project: 00:09:00 •Write and Run Hello World program: 00:05:00 •Command line basics: 00:06:00 •Installation and access pip command: 00:10:00 •Introduction to web framework and Django: 00:04:00 •Installing Django and setting up a project: 00:07:00 •Understanding Django architecture and structured: 00:08:00 •Creating a simple Django app: 00:06:00 •Introduction to PostgreSQL and its advantages for web applications: 00:04:00 •Installing PostgreSQL and setting up a database: 00:13:00 •pgAdmin Secure login and create database: 00:10:00 •Connection Django to PostgreSQL: 00:09:00 •Creating a Basic HTTP view method request: 00:04:00 •URL pattern on app: 00:05:00 •Include apps to project urls: 00:05:00 •Installing the psycopg2 module for DB connection: 00:05:00 •Defining models and creating database tables: 00:08:00 •Using Djangos built-in ORM to interact with the database: 00:06:00 •Migration to create DB tables: 00:06:00 •Assessment Test: 00:01:00 •Solution for an Assessment Test: 00:04:00 •Creating Superuser as Admin: 00:07:00 •Authentication and Authorization: 00:03:00 •User access permissions: 00:04:00 •Registering user models to the admin Dashboard: 00:04:00 •Creating data using CRUD functionality: 00:06:00 •View data on the PostgreSQL database table: 00:04:00 •Understanding the MVC: 00:05:00 •Creating views and handling HTTP requests and rendering templates: 00:10:00 •Creating a template with HTML page: 00:10:00 •Building dynamic form and handling: 00:10:00 •Creating Bootstrap template: 00:06:00 •Applying Bootstrap to Django form: 00:04:00 •Creating Stunning Product Card items: 00:09:00 •Creating model: 00:04:00 •Creating forms: 00:03:00 •Creating views: 00:07:00 •Applying ORM - migrations: 00:03:00 •Creating my_form template: 00:05:00 •Adding urls: 00:03:00 •Creating success_view template: 00:04:00 •Project urls update and adding Installed apps: 00:02:00 •Run project and submit data to database: 00:06:00 •Creating report_view method: 00:03:00 •Creating report_template: 00:03:00 •Update urls pattern: 00:02:00 •Run project and test reports: 00:03:00
In today's data-driven world, 82% of businesses demand Data Science professionals - and they're willing to pay for it! With average global salaries of Data Scientists and Machine Learning experts surpassing $120,000 annually, it's clear: the future belongs to those who understand data. Our Advanced Diploma in Data Science & Machine Learning - Level 7 is meticulously designed to offer profound knowledge and skills . This Data Science & Machine Learning bundle encompasses a comprehensive selection, from the nuances of Statistics & Probability to the intriguing applications of Machine Learning in Flutter. Also, this comprehensive Data Science & Machine Learning bundle ensures you're well-equipped with the essential knowledge required in today's competitive global market. By opting for this Data Science & Machine Learning advanced diploma, you're not just learning - you're investing in a future filled with opportunities, lucrative incomes, and immense professional demand globally. Data Science & Machine Learning Course Learning Outcomes Grasp the fundamentals of Statistics & Probability. Acquire proficiency in Python for Data Science. Understand R programming in data analytics context. Dive deep into MySQL and its applications in Data Science. Master SQL techniques for Data Visualization and Analytics. Lay a strong foundation in basic machine learning concepts. Navigate through Azure Machine Learning and its utilities. This Data Science & Machine Learning bundle course, however, is designed to be your compass, guiding you through the intricacies of the most pivotal topics. With the Advanced Diploma, you delve deep into the mathematical bedrock of data science through Statistics & Probability. Python and R, the stalwarts of data programming, are unravelled, offering insights into their unique capabilities. SQL's unmatched prowess in data visualisation and analytics is highlighted, while Azure provides a window into the world of cloud-based machine learning. Lastly, understand the synergy of machine learning and mobile applications through Flutter. The benefits? A holistic understanding, positioning you ahead in the academic sphere and offering a competitive edge should you venture into research or further studies. Courses in this Data Science & Machine Learning bundle: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Data Science & Machine Learning with Python R Programming for Data Science Learn MySQL from Scratch for Data Science and Analytics SQL for Data Science, Data Analytics and Data Visualization Machine Learning Basics "Azure Machine Learning" Machine Learning use in Flutter, The Complete Guide Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the Data Science & Machine Learning course as proof of their achievement. You can order the endorsed certificate for only £129 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 Data Science & Machine Learning 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 Data Science & Machine Learning course has been reviewed and approved by the QLS and meets the highest quality standards. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Science & Machine Learning bundle is ideal for: Aspiring Data Scientists. Statisticians looking to expand into Machine Learning. Developers keen on integrating Machine Learning in apps. Research scholars in data-driven fields. Requirements To enrol in this Data Science & Machine Learning course, all you need is a basic understanding of the English Language and an internet connection. Career path Data Scientist Machine Learning Engineer Data Analyst SQL Database Administrator Research Scientist (Data Specialization) Flutter Developer with ML Integration Certificates 8 CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: £3.99 Outside the UK: £9.99 QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: Free Outside the UK: £9.99 Other CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 Free Courses Hard Copy Certificates Are £9.99 Each. Delivery Charge: Inside the UK: Free Outside the UK: £9.99
Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing. Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 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 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 •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 •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 •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 •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 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •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): 00:17:00 •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 •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 •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 •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 •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 •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 •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 •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 •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 •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
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