1819 Developer courses delivered On Demand

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

Want to learn about Kubernetes security or need to pass the Certified Kubernetes Security Specialist (CKS) exam? You are at the right place. A hands-on course to help you develop your Kubernetes security skills. You need to have a basic understanding of Kubernetes Administrator to get the best out of this course.

This course will help you learn the programming fundamentals with Python 3. It is designed for beginners in Python and is a complete masterclass. This course will help you understand Python GUI, data science, full-stack web development with Django, machine learning, artificial intelligence, Natural Language Processing, and Computer Vision.

This course is designed to explore creative potential and hone artistic skills using ChatGPT. It covers how to use ChatGPT, generate ideas, research for a novel, create comics, and use other AI tools. Additionally, the course introduces ChatGPT for storytelling by providing prompts and refining its output to generate story ideas and characters.

Overview Unleash the web development potential with the 'HTML Web Development for Beginners' course. This course is meticulously designed to equip beginners with the essential tools and knowledge to thrive in this burgeoning field.  With comprehensive modules that cover everything from setup and overview, basic tags, headings, lists, links, images, and tables to more advanced topics like meta tags, description lists, presentation, iframe, video, audio, forms, CSS, and JavaScript, the 'HTML Web Development for Beginners' course is your gateway to mastering web development. Grab this opportunity to master the art of web development. Enrol now and take the first step towards a promising and fulfilling career in web development. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this HTML Web Development for Beginners. It is available to all students, of all academic backgrounds. Requirements Our HTML Web Development for Beginners is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 18 lectures • 01:43:00 total length •Module 01: Setup and Overview: 00:10:00 •Module 02: Basic Tags: 00:08:00 •Module 03: Headings: 00:05:00 •Module 04: Lists: 00:06:00 •Module 05: Links: 00:06:00 •Module 06: Images: 00:07:00 •Module 07: Tables: 00:05:00 •Module 08: Advanced Tables: 00:05:00 •Module 09: Meta Tags: 00:06:00 •Module 10: Description Lists: 00:02:00 •Module 11: Presentation: 00:06:00 •Module 12: Iframe: 00:03:00 •Module 13: Video: 00:04:00 •Module 14: Audio: 00:03:00 •Module 15: Forms: 00:09:00 •Module 16: CSS: 00:11:00 •Module 17: JavaScript: 00:07:00 •Resource: 00:00:00

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

Overview of MySql Masterclass The digital world has changed how businesses work in the UK, and database management is now a key part of every successful company. MySQL is one of the most popular tools for this job, used by over 40% of websites around the world. In the UK, big names like BBC, Sky, and many tech startups in London’s Silicon Roundabout rely on MySQL. The MySql Masterclass is designed to help people learn the skills needed to build a strong career in this growing field. Database experts in the UK earn an average salary of £45,000 each year, making it a smart career choice. The MySql Masterclass has 41 helpful modules that start with the basics and move up to more advanced topics. Students will learn how to create databases, write MySQL commands, use joins, and manage stored procedures. The course also teaches how to make systems run faster and safer with performance and security tools. Other important topics include handling JSON data, using full-text search, and working with replication. These are all things that modern companies look for in a database specialist. This MySql Masterclass is made for beginners and gives them the knowledge they need to handle real business databases. It helps students build strong skills in design, optimisation, and administration. The UK’s tech industry is worth £150 billion a year, and the MySql Masterclass helps learners get ready for job opportunities in many areas like retail, health, and finance. Learning Outcomes By the end of the MySql Masterclass, learners will be able to: Build and manage MySQL databases from the ground up Use SELECT, INSERT, UPDATE, and DELETE commands with confidence Work with advanced joins, unions, and stored procedures Design and use indexes, views, and full-text search for better performance Set up MySQL replication, backups, and basic system administration Handle JSON data and manage time zone settings within databases Who is this course for? Aspiring Database Administrators who want full MySQL training to manage databases, user access, and backups in organisations needing strong data systems. Software Developers who want to improve their backend development by learning MySQL queries, stored procedures, and database performance skills. Data Analysts who need advanced SQL to pull useful data from complex tables using joins, group functions, and reporting tools. IT Professionals looking to build database knowledge, including how to configure, tune, and fix issues in MySQL systems. Career Changers with little or no tech background who want to start in database roles, learning from the basics to advanced MySQL tasks. Process of Evaluation After studying the MySql Masterclass Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the MySql Masterclass Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don’t need any educational qualification or experience to enrol in the MySql Masterclass course. Career Path Completing this MySql Masterclass course could lead to rewarding jobs like: Database Administrator – £35K to £65K per year MySQL Developer – £30K to £55K per year Data Analyst – £25K to £45K per year Backend Developer – £35K to £60K per year Database Consultant – £40K to £70K per year Course Curriculum: MySql Masterclass Module 1: Introduction on MySQL 01:00:00 Module 2: Data Types 00:51:00 Module 3: SELECT Statements 00:59:00 Module 4: Backticks 00:15:00 Module 5: NULL 00:18:00 Module 6: Limit and Offset 00:13:00 Module 7: Creating databases 00:18:00 Module 8: Using Variables 00:25:00 Module 9: Comment MySQL 00:14:00 Module 10: INSERT Statements 00:29:00 Module 11: DELETE Statements 00:21:00 Module 12: UPDATE Statements 00:20:00 Module 13: ORDER BY Clause 00:08:00 Module 14: Group By 00:18:00 Module 15: Errors in MySQL 00:10:00 Module 16: Joins 00:37:00 Module 17: Joins continued 00:11:00 Module 18: UNION 00:18:00 Module 19: Arithmetic 00:20:00 Module 20: String operations 00:33:00 Module 21: Date and Time Operations 00:08:00 Module 22: Handling Time Zones 00:07:00 Module 23: Regular Expressions 00:19:00 Module 24: VIEWS 00:20:00 Module 25: Table Creation 00:23:00 Module 26: ALTER TABLE 00:23:00 Module 27: Drop Table 00:05:00 Module 28: MySQL LOCK TABLE 00:10:00 Module 29: Error codes 00:08:00 Module 30: Stored routines (procedures and functions) 00:29:00 Module 31: Indexes and Keys 00:24:00 Module 32: Full-Text search 00:18:00 Module 33: PREPARE Statements 00:09:00 Module 34: JSON 00:11:00 Module 35: Extract values from JSON type 00:05:00 Module 36: MySQL Admin 00:08:00 Module 37: TRIGGERS 00:12:00 Module 38: Configuration and tuning 00:07:00 Module 39: Events 00:08:00 Module 40: ENUM 00:09:00 Module 41: Collations, Transactions, Log files, Replication, Backup 00:41:00

Overview This comprehensive course on Master JavaScript with Data Visualization will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Master JavaScript with Data Visualization comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Master JavaScript with Data Visualization. It is available to all students, of all academic backgrounds. Requirements Our Master JavaScript with Data Visualization is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 11 sections • 76 lectures • 06:21:00 total length •Introduction to Getting Started: 00:02:00 •Course Curriculum: 00:05:00 •How to Get Pre-Requisites: 00:02:00 •Getting Started on Windows, Linux or Mac: 00:01:00 •How to ask a Great Questions: 00:02:00 •FAQ's: 00:01:00 •What is JavaScript: 00:09:00 •Choosing Code Editor: 00:03:00 •Installing Code Editor (Sublime Text): 00:04:00 •Installing Code Editor(Visual Studio Code): 00:07:00 •Hello World Program: 00:14:00 •Getting Output: 00:11:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Internal JavaScript: 00:13:00 •External JavaScript: 00:09:00 •Inline JavaScript: 00:04:00 •Async and defer: 00:06:00 •Variables: 00:13:00 •Data Types: 00:10:00 •Numbers: 00:06:00 •Boolean: 00:04:00 •Arrays(): 00:12:00 •Objects: 00:06:00 •Comments: 00:05:00 •Summary: 00:01:00 •Introduction: 00:02:00 •Strings: 00:06:00 •String Formatting: 00:05:00 •String Methods: 00:12:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Arithmetic operators: 00:07:00 •Assignment operators: 00:03:00 •Comparison operators: 00:06:00 •Logical operators: 00:08:00 •Summary: 00:02:00 •Introduction: 00:02:00 •If statement: 00:04:00 •If-else statement: 00:05:00 •If-else-if statement: 00:04:00 •Switch-case statement: 00:09:00 •Summary: 00:01:00 •Introduction: 00:02:00 •While loop: 00:09:00 •Do-while loop: 00:03:00 •For loop: 00:08:00 •Break: 00:02:00 •Continue: 00:03:00 •Coding Exercise: 00:02:00 •Solution for Coding Exercise: 00:02:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Creating a Function: 00:07:00 •Function Call(): 00:07:00 •Function with parameters: 00:05:00 •Function Bind(): 00:06:00 •Summary: 00:01:00 •Introduction: 00:01:00 •How to Use Google chart script: 00:04:00 •Line Graph chart: 00:14:00 •Scatter plots chart: 00:02:00 •Bar chart: 00:04:00 •Pie chart: 00:02:00 •3D Pie chart: 00:02:00 •Summary: 00:01:00 •Introduction: 00:01:00 •Try-catch: 00:05:00 •Try-catch-finally: 00:17:00 •Summary: 00:01:00 •Introduction: 00:01:00 •On Submit Validation: 00:09:00 •Input Numeric Validation: 00:12:00 •Login Form Validation: 00:05:00 •Password Strength Check Validation: 00:04:00 •Summary: 00:01:00

The Python Programming Mini Bundle is designed for doers, builders, and freelancers ready to monetize their coding skills. Whether you’re pivoting careers or gearing up to go solo, this bundle equips you with the tools employers want and clients pay for. With an emphasis on Python, Go Lang, Email Marketing, Freelancing, and PHP, this mini bundle helps you break into tech, stand out on freelance platforms, and meet the growing demand for developer-marketers in today’s digital economy. Description In the current market, versatile professionals are in high demand. That’s why the Python Programming Mini Bundle brings together a powerful mix of skills, starting with Python. Python is the heart of data automation, backend development, AI, and countless real-world applications. With Python on your résumé, you immediately gain attention from employers and clients alike. But flexibility is everything, and that’s where Go Lang enters. Known for performance and scalability, Go Lang is a rising star in modern backend systems. Whether it's API architecture or microservices, Go Lang developers are becoming the go-to talent across SaaS companies and tech startups. Combining Python and Go Lang gives you an edge in competitive tech circles. However, great tech alone doesn’t pay the bills. You need visibility. That’s where Email Marketing shines. From startups looking to grow a user base to small businesses selling online, Email Marketing remains one of the highest ROI tools available. Developers who understand Email Marketing can offer full-package solutions, making them far more valuable in freelance and startup ecosystems. Speaking of independence, Freelancing is baked into the bundle because knowing Python, Go Lang, and Email Marketing means little if you can’t land a client. Freelancing gives you autonomy, earning potential, and global opportunity. As more professionals shift to remote work, Freelancing continues to rise as a reliable and lucrative career path. Finally, PHP continues to be a major player across thousands of legacy websites and CMS platforms. Despite new languages emerging, PHP is still everywhere—from Wordpress to custom eCommerce platforms. Combining PHP with Python and Go Lang makes you a full-stack powerhouse, especially attractive to startups and SMBs. With this bundle, you’re not just learning—you’re positioning yourself to be hired, trusted, and paid for in-demand skills like Python, Go Lang, Email Marketing, Freelancing, and PHP. FAQ Q: Who is this bundle ideal for? A: Anyone looking to work independently, break into tech, or stack their freelance profile with hireable skills in Python, Go Lang, Email Marketing, Freelancing, and PHP. Q: Will this help me get freelance clients? A: Yes—clients increasingly want developers who understand both tech (Python, Go Lang, PHP) and growth strategies (Email Marketing, Freelancing). Q: Is it beginner-friendly? A: Yes, especially if you want a clear path to becoming job- or client-ready with Python, Go Lang, Email Marketing, Freelancing, and PHP.

GitHub is a Git repository hosting service, but it adds many of its own features. While Git is a command line tool, GitHub provides a Web-based graphical interface. It also provides access control and several collaboration features, such as a wikis and basic task management tools for every project.