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Course 14: Deep Learning & Neural Networks Python - Keras Course 15: Machine Learning with Python Course Course 16: Azure Machine Learning Course 17: JavaScript Basics Course 18: Building Web Applications with Django and PostgreSQL Course 19: Cyber Security Awareness Training Course 20: Cyber Security Incident Handling and Incident Response Course 21: Career Development Plan Fundamentals Course 22: CV Writing and Job Searching Course 23: Learn to Level Up Your Leadership Course 24: Networking Skills for Personal Success Course 25: Ace Your Presentations: Public Speaking Masterclass Course 26: Learn to Make a Fresh Start in Your Life Course 27: Motivation - Motivating Yourself & Others Course 28: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 29: Decision-Making and Critical Thinking Course 30: Time Management Training - Online Course What will make you stand out? 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***24 Hour Limited Time Flash Sale*** Google Analytics Course - Taking Your Business to the Next Level 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 Google Analytics Course - Taking Your Business to the Next Level 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 Google Analytics Course - Taking Your Business to the Next Level bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. 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Start your learning journey straightaway with our Google Analytics Course - Taking Your Business to the Next Level Training! Google Analytics Course - Taking Your Business to the Next Level premium bundle consists of 25 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Google Analytics Course - Taking Your Business to the Next Level 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 Google Analytics Course - Taking Your Business to the Next Level course. After passing the Google Analytics Course - Taking Your Business to the Next Level exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Certificates CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

Take the initial steps toward a successful long-term career by studying the IT package online with StudyHub through our online learning platform. After completing extensive research, we designed this customised IT course to ease your journey toward your goal. The IT course covers all of the latest information to keep you ahead of the job market and prepare you for the next step. The IT bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This IT Training Bundle consists the following career oriented courses: Course 01: IT Support Technician Course 02: Network Security and Risk Management Course 03: CompTIA Network Course 04: Information Management Course 05: Web Application Penetration Testing Course Course 06: CompTIA Cloud+ (CV0-002) Course 07: Learn Ethical Hacking From A-Z: Beginner To Expert Course 08: Computer Operating System and Troubleshooting Course 09: Building Your Own Computer Course Course 10: It: Ethical Hacking, IT Security and IT Cyber Attacking Course 11: SQL Database Administrator Course 12: MS Word Essentials - The Complete Word Course - Level 3 Course 13: Data Protection (GDPR) Practitioner Course 14: Website Hacking From Scratch Course 15: Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) Course 16: Data Science and Visualisation with Machine Learning Course 17: SQL For Data Analytics & Database Development Course 18: PLC Programming Diploma Course 19: Cyber Security Incident Handling and Incident Response Course 20: Cyber Security Law Course 21: C# (C-Sharp) Course 22: Web Design (HTML, CSS, Bootstrap) Complete Course Course 23: Python Course Course 24: JavaScript Course 25: ASP.Net MVC and Entity Framework Course Course 26: Learn Spring & Angular Material with a Full Web Application Course 27: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 28: Project on Deep Learning - Artificial Neural Network (ANNs) Course 29: Build Progressive Web Apps with Angular Course 30: Microsoft SQL Server Development for Everyone! Course 31: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 32: Microsoft Azure Machine Learning Course 33: Linux Basics Course 34: Linux File Management System Course 35: C Programming Language for Beginners on Linux Course 36: Linux Security and Hardening Course 37: Linux Shell Scripting Course 38: Learn Ethical Hacking From A-Z: Beginner To Expert Course 39: Securing an Ubuntu Linux Server against Hackers Masterclass Course 40: Python 3 Programming The IT Training Bundle has been prepared by focusing largely on career readiness. The IT course has been prepared by focusing largely on career readiness. It has been designed by our IT specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided with IT, if it's required by any learners. Certification After studying the complete training, you will be able to participate in the course assessment, which is included in the course. After completing the assessment, you can claim all courses pdf certificates for free. Hard Copy certificates need to be ordered at an additional cost of •8. CPD 400 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT Training course is suitable for - Students Recent graduates Job Seekers further progress towards NCFE Level 3 Diploma in Skills for Business: IT Requirements There is no formal qualification needed for this IT Training course. Career path You will be able to achieve a lucrative career because this IT Training Bundle includes various courses as a bonus. Certificates Certificate of completion Digital certificate - Included

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

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Definitive Salt training course description Salt is a remote execution framework and configuration management system. This course covers Salt from the basics. After a quick first taste the course moves onto execution modules, salt states, minion and master data, jinja, Salt extensions and then topology and configuration options. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Install and use Salt. Describe the architecture of Salt. Manage configurations with Salt. Extend Salt. Definitive Salt training course details Who will benefit: Anyone working with Salt. Prerequisites: Linux fundamentals. Duration 2 days Definitive Salt training course contents Introduction What is Salt? High- level architecture, Some quick examples, system management, configuration management, A brief history, Topology options, Extending Salt. Quick start: First taste of Salt Single-master setup, from packages, bootstrap scripts, Starting up, Basic commands, salt: the main workhorse, salt-key: key management, salt-call: execution on the minion, salt-run: co-ordination of jobs on the master, summary of commands, Key management, viewing keys, accepting keys, rejecting keys, key files, Minion targeting, minion ID, list (-L), glob, regular expressions (-E), grains (-G), compound (-C), targeting summary, Additional remote execution details, Conclusion. Execution modules: The functional foundation sys: information and documentation about modules, sys.doc basic documentation, sys.list_modules, sys.list_functions: simple listings, cmd: execute via shell, cmd.run: run any command, pkg: manage packages, virtual modules, pkg.lists_pkgs: list all installed packages, pkg.available version: see what version will be installed, pkg.install: install packages, user: manage users, user.add: add users, user.list_users, user info: get user info, saltutil: access various Salt utilities, Summary. Configuration management: Salt states Salt files overview, SLS example: adding a user, working with the multi-layered state system, Highstate and the top file, the top file, State ordering, require: depend on another state, watch: run based on other changes, odds and ends, Summary. Minion data / master data Grains are minion data, performing basic grain operations, setting grains, targeting with grains in the top file, Pillars are data from the master, querying pillar data, querying other sources with external pillars, Renderers give data options. Extending Salt: part I Introduction to Jinja, Jinja basics, Templating with Jinja, filtering by grains, Custom execution module, Custom state modules, Custom grains, External pillars, Summary. More on the matter Runners, manage minions, manage jobs, The orchestrate runner, The event system, The reactor system, Summary. Extending Salt: part II Python client API, reading configuration data on a master and minion, using the master client (localclient) API, Using the caller client API, Custom runners, writing a custom runner, using the runnerclient API, Summary. Topology and configuration options Master configuration, directories and files, logging, access control, files server options, Topology variations, masterless minions, peer systems, syndication masters, multiple masters. Brief introduction to salt-cloud Overview, Setup AWS and salt-cloud, installing salt-cloud, cloud providers, cloud profiles, cloud maps, Introspection via salt cloud, Creating infrastructure, More information. Using vagrant to run Salt examples YAML.

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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