989 Courses

The Python Mini Bundle offers a clean, structured pathway into essential programming languages and web design basics. Whether you're wrestling with loops or wondering what exactly Go Lang does with its semicolons, this bundle provides clarity across popular technologies—without sounding like a lecture from a sleep-deprived engineer. It starts with Python’s logic, adds HTML and CSS for structure and style, sprinkles in data analysis, and rounds it out with Go Lang—because sometimes, even programmers enjoy a change of pace. It's ideal for learners who enjoy seeing code behave (most of the time) and data that tells a story without emotional outbursts. Learning Outcomes: Understand Python syntax, loops, and structured programming logic. Learn Go Lang structures and execution models for simple programmes. Explore HTML basics and webpage layout fundamentals. Study CSS styling for visual structure and site presentation. Apply Python to explore introductory data analysis techniques. Identify core programming patterns across language types. Who is this Course For: Beginners curious about Python and clean programming logic. Students exploring front-end and back-end web structure theory. Individuals interested in combining coding with data storytelling. Learners wanting to explore multiple programming language basics. Aspiring analysts looking at foundational coding for data handling. Developers transitioning to structured web and code learning. Hobbyists keen to write functional, logical, readable code. Coders who appreciate both syntax and simplicity in language. Career Path: Python Developer – £45,000/year Junior Data Analyst – £30,000/year Web Developer (HTML/CSS) – £32,000/year Go Lang Developer – £48,000/year Software Tester – £34,000/year Front-End Developer – £35,500/year

About Course Building Web Applications with Django and PostgreSQL: Master the Complete Stack Learn to build modern and robust web applications with one of the most popular and powerful tech stacks: Django and PostgreSQL. In this comprehensive course, you will learn: The fundamentals of Django, including setting up a development environment, creating models, views, and templates, and handling user authentication and authorization. How to work with Django's built-in admin interface and form files. Advanced topics, such as working with Django's ORM (Object-Relational Mapping) to interact with the PostgreSQL database, handling form submissions, and integrating third-party libraries. Best practices for structuring Django projects, handling user sessions, and securing your web applications against common web vulnerabilities. You will also gain hands-on experience in using PostgreSQL as your database backend, including: Designing database schemas Performing CRUD (Create, Read, Update, Delete) operations Optimizing database performance Throughout the course, you will work on practical projects that will allow you to apply the concepts you've learned and build real-world web applications. By the end of this course, you will be able to: Create dynamic and interactive web applications with Django and PostgreSQL. Build secure, scalable, and maintainable web applications. Become a skilled and proficient web developer. This course is perfect for: Beginners who want to learn how to build web applications from scratch. Experienced web developers who want to learn how to use Django and PostgreSQL. Anyone who wants to learn how to build modern and robust web applications. Enroll today and start your journey to becoming a Django and PostgreSQL expert! Bonus: Get access to the instructor's personal collection of Django and PostgreSQL resources. Why learn Django and PostgreSQL? Django and PostgreSQL are two of the most popular and powerful technologies for building web applications. Django is a popular web framework written in Python that allows developers to build robust and scalable web applications quickly and efficiently. PostgreSQL is a powerful open-source relational database management system known for its reliability and performance. Learning Django and PostgreSQL will give you a significant advantage in the job market and allow you to build more complex and sophisticated web applications. Here are some of the benefits of learning Django and PostgreSQL: Django is a popular web framework with a large and active community. This means that there is a wealth of resources available to help you learn Django and get help when you need it. Django is a powerful and versatile web framework that can be used to build a wide variety of web applications, from simple websites to complex e-commerce platforms. PostgreSQL is a powerful and reliable database management system that is known for its performance and scalability. PostgreSQL is also an open-source database, which means that it is free to use and distribute. So what are you waiting for? Enroll in this course today and start your journey to becoming a Django and PostgreSQL expert! What Will You Learn? Comprehensive coverage of Django web framework and PostgreSQL database Practical projects to apply concepts learned Hands-on experience with PostgreSQL as a database backend Best practices for structuring Django projects and securing web applications In-depth understanding of Django's ORM for database interactions Integration of third-party libraries and Import Real-world examples and use cases Course Content Getting Started Introduction Getting started on Windows, MacOS, and Linux How to Ask Great Questions FAQs Setting Up a Python Development Installing Python Installing PyCharm IDE for Development Creating the first Python Project Write and Run Hello World Program Command Line Basics Installation and Access Pip Command Django Setting Up the Project Introduction to Web Framework and Django Installing Django and Setting Up a Project Understanding Django Architecture and Structured Creating a Simple Django App Building a Django App with PostgreSQL Introduction to PostgreSQL and its Advantages for Web Applications Installing PostgreSQL and Setting Up a Database pgAdmin Secure Login and Create Database Connection Django to PostgreSQL Creating a Basic HTTP View Method Request URL Pattern on App Include Apps to Project URLs Installing the Psycopg2 Module for DB Connection Django Models and ORM (Object Relational Mapping) Defining Models and Creating Database Tables Using Djangos Built-in ORM to Interact with the Database Migration to Create DB Tables Assessment Test Solution for an Assessment Test Working with Admin Module Creating Superuser as Admin Authentication and Authorization User Access Permissions Registering User Models to the Admin Dashboard Creating Data Using CRUD Functionality View Data on the PostgreSQL Database Table Django Views and Templates Understanding the MVC - MVT Creating Views and Handling HTTP Requests and Rendering Templates Creating a Template with HTML Page Building Dynamic Form and Handling Django Form Design Creating Bootstrap Template Applying Bootstrap to Django Form Creating Stunning Product Card items Django Project: Registration form - Real world Creating Model Creating Forms Creating Views Applying ORM - Migrations Creating My Form Template Adding URLs Creating Success_View Template Project URLs Update and Adding Installed Apps Run Project and Submit Data to Database Django Reports Creating Report_View Method Creating Report_Template Update URLs Pattern Run Project and Test Reports Course Resources Course Resources A course by Sekhar Metla IT Industry Expert Material Includes Download Resources and Reference Project Source Code Django to PostgreSQL database connection Project Settings file RequirementsBasic knowledge of Python programmingUnderstanding of relational databases and SQL - optionalFamiliarity with web development concepts (HTML, CSS, and JavaScript) - optional Audience Beginners Python Django developers curious about web application development Web developers who want to learn how to build web applications using Django and PostgreSQL Python developers who want to expand their skillset to web development Students or professionals looking to enhance their web development skills with Django and PostgreSQL. Requirements Basic knowledge of Python programming Understanding of relational databases and SQL - optional Familiarity with web development concepts (HTML, CSS, and JavaScript) - optional

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Feeling Stuck in Your Career? The Data Analyst (Data Analytics) Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Analyst-(Data Analytics) bundle provides an engaging learning experience, helping you learn skills across various disciplines. With the Data Analyst (Data Analytics) Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Analyst-(Data Analytics) bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Analyst-(Data Analytics) bundle on your job life and career growth! 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This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Data Analyst-(Data Analytics) bundle, a comprehensive, complete collection of 30 courses. Each course in the Data Analyst-(Data Analytics) bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Analyst-(Data Analytics) bundle offers the flexibility and convenience to learn at your own pace. Make the Data Analyst-(Data Analytics) package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Web Application Penetration Testing bundle on your job life and career growth! This Web Application Penetration Testing - 30 CoursesBundle Comprises the Following CPD Accredited Courses: Course 01: Web Application Penetration Testing Course Course 02: Penetration Testing with OWASP ZAP: Mastery course Course 03: CompTIA PenTest+ (Ethical Hacking) Course 04: Secure Programming of Web Applications - Developers and TPMs Course 05: IT Administration and Networking Course 06: CPTE - Certified Penetration Testing Engineer Course 07: Mile2 Certified Network Forensics Examiner (CNFE) Course 08: Computer Networks Security from Scratch to Advanced Course 09: CompTIA Security+ (SY0-601) Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 11: CompTIA Network+ Certification (N10-007) Course 12: Learn Ethical Hacking From A-Z: Beginner To Expert Course 13: The Complete Python 3 Course: Beginner to Advanced! 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The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Web Application Penetration Testing bundle, a comprehensive, complete collection of 30 courses. Each course in the Web Application Penetration Testing bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Web Application Penetration Testing bundle offers the flexibility and convenience to learn at your own pace. Make the Counselling, Psychology & Art Therapy package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Web Application Penetration Testing - 30 Courses bundle is perfect for: Expand your knowledge and skillset for a fulfilling career with the Web Application Penetration Testing bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Web Application Penetration Testing bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Web Application Penetration Testing bundle. Learn on your schedule, in the comfort of your home - the Web Application Penetration Testing bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Web Application Penetration Testing - 30 Courses bundle. Certificates CPD Certificates Digital certificate - Included

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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

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

Duration 2 Days 12 CPD hours This course is intended for This course is designed primarily for customer engineers and systems engineers in the following job roles: Automation architect Automation engineer Consulting systems engineer DevOps engineer Network administrator Network architect Network consulting engineer Network design engineer Network engineer Network operator Network reliability engineer Sales engineer Site reliability engineer Systems engineer Technical solutions architect Overview After taking this course, you should be able to: Articulate the role network automation and programmability play in the context of end-to-end network management and operations Define and differentiate between waterfall and agile software development methodologies Interpret and troubleshoot Python scripts with fundamental programming constructs built for network automation use cases Describe how DevOps principles, tools, and pipelines can be applied to network operations Understand the role of network automation development environments and associated technologies such as Python virtual environments, Vagrant, and Docker Understand and construct HTTP-based API calls to network devices Articulate the differences among and common use cases for XML, JSON, YAML, and protobuf Construct and interpret Python scripts using the Python requests module to automate devices that have HTTP-based APIs Understand the role YANG plays in network automation Understand that a number of tools exist to simplify working with YANG models Describe the functionality of RESTCONF and NETCONF and the differences between them Construct Ansible playbooks to configure network devices and retrieve operational state data from them Build Jinja2 templates and YAML data structures to generate desired state configurations The Introducing Automation for Cisco Solutions (CSAU) v1.1 course gives you a broad overview of network automation skills. Through a combination of lecture and hands-on labs, you will learn the fundamentals of automation such as working on model-driven programmability solutions with Representational State Transfer Configuration Protocol (RESTCONF) and Network Configuration Protocol (NETCONF) protocols. The course also covers data formats and types, including Extensible Markup Language (XML), JavaScript Object Notation (JSON), Yaml Ain?t Markup Language (YAML), and Yet Another Next Generation (YANG), and their value in network automation, along with DevOps tools such as Ansible and Git. Course Outline Examining Network Management and Operations Exploring Software Development Methodologies Using Python for Network Automation Describing NetDevOps: DevOps for Networking Managing Automation Development Environments Introducing HTTP Network APIs Reviewing Data Formats and Data Encoding Using Python Requests to Automate HTTP-Based APIs Exploring YANG Using YANG Tools Automating Model-Driven APIs with Python Introducing Ansible for Network Automation Templating Configurations with Jinja2