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Enrol on the now and start learning instantly! What You Get With The Python from Scratch Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Python from Scratch, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Python from Scratch 1a Python Course Introduction 00:04:00 1b Python Course Curriculum Overview 00:10:00 1c Python Whats New 00:04:00 2a command line basics in python 00:06:00 2b python installation 00:06:00 2c Pycham-ce ide installation.mp4 00:06:00 2d Setting up environment 00:07:00 2e running python code 00:10:00 2f git and github overview 00:04:00 3a Python Data Types 00:09:00 3b Python Arithmetic Operators Numbers 00:12:00 3b Python Arithmetic Operators Numbers.mp4 00:12:00 3f Variable Assignments 00:15:00 3g Strings Introduction 00:06:00 3h Indexing and Slicing with Strings 00:08:00 3k String Properties and Methods 00:12:00 3l Formatting strings in python 00:07:00 3n Lists in Python 00:11:00 3r Dictionaries in python 00:07:00 3v Tuples in Python 00:09:00 4a Comparison Operators in Python 00:15:00 4b Logical Operators in Python.mp4 00:08:00 5a If Elif and Else Statements in Python 00:08:00 5b For Loops in Python 00:08:00 5c While Loops in Python 00:04:00 6a Functions in Python 00:07:00 6b Methods in Python 00:11:00 6c List Methods in Python 00:11:00 6j i Nested Loop in Python 00:08:00 6j ii 2D Lists using Nested Loop in Python 00:06:00 7a Introduction of Object Oriented Programming in Python.mp4 00:11:00 7b Attributes and Class keyword 00:13:00 7c Class object, attributes and methods in Python 00:11:00 7d Inheritance 00:10:00 7e Encapsulation in Python 00:07:00 7f Polymorphism opps in Python 00:11:00 8a Pypi and Pip 00:06:00 8b Modules in Python 00:09:00 8c Packages in Python 00:09:00 9a Errors and Exception Handiling in Python 00:10:00 10a Guessing Game in Python 00:06:00 10b Car Game using Python 00:12:00 10c Dice Game using python 00:05:00 10d Card and Deck Game in Python.mp4 00:07:00 11a Decorators in Python 00:06:00 12a Python Generators 00:06:00 14a Built-in Modules Random Values 00:06:00 14b Datetime in Python 00:04:00 14d Timing your code execution 00:06:00 14e Regular Expressions -re.mp4 00:09:00 15a First Django Project creation 00:12:00 15b First Django App 00:05:00 15c View Functions in Django 00:03:00 15d URL Mapping on Django in Python 00:14:00 15e Models in django 00:06:00 15f Migrations in django 00:10:00 15g Admin in Django project.mp4 00:11:00 15h Customizing the Admin in Django project 00:05:00 15i Templates in Django project 00:10:00 15j Adding Bootstrap on django project 00:07:00 15k Rendering Bootstrap Cards in django project App 00:09:00 15l Navigation in django 00:03:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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Course Preview Learning Outcomes Introduce yourself to the basics of Python Familiarise yourself with the data types and operators Enhance your understanding of data structures and control flow Explore the vital areas of Python arrays, iterators and generators Develop a clear understanding of functions and file manipulation Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email. What Skills Will You Learn from This Course? Python Who Should Take This Python for Beginners Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Python for Beginners is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Pathâ This exclusive Python for Beginners will equip you with effective skills and abilities and help you explore career paths such as Web Developer Data Analyst Software Developer Game Developer Course Introduction Python for Beginners Introduction 00:01:00 Module 01: Getting Started with Python Why Learn Coding 00:05:00 Why Learn Python 00:04:00 Gearing Up Linux Machine For Python Programming 00:15:00 Gearing Up Windows For Python 00:13:00 Integrate Python And Git Bash With Vscode 00:03:00 Gearing Up The Macos For Python Programming 00:06:00 Installing Jupyter Notebook In Windows 00:06:00 Hello World In Jupyter Notebook 00:11:00 Module 02: Data Types and Operators Arithmetic Operators 00:14:00 Order Of Evaluation 00:09:00 Variable And Assignment Operators 00:12:00 Correct Variable Names 00:08:00 Integer Float And Complex Numbers In Python 00:11:00 Boolean Comparison Operator And Logical Operator 00:20:00 Strings In Python 00:07:00 Type And Type Casting 00:10:00 String Methods In Python 00:09:00 Taking Input From User 00:05:00 Exercise 1 00:09:00 Module 03: Data Structures Lists In Python 00:16:00 Necessitites In List 00:14:00 List Methods 00:19:00 Tuples In Python 00:14:00 Sets In Python 00:14:00 Dictionary, Mutable, Accessing Items 00:08:00 Dublicates, Constructor And Data Types In Dictionary 00:06:00 Access And Add Items In Dictionaries 00:06:00 Nested Dictionaries And Dictionary Methods 00:10:00 Exercise 2 00:12:00 Module 04: Control Flow Introduction 00:01:00 Conditional Statements 00:10:00 Short Hand If Else 00:10:00 Nested If 00:05:00 For Loops 00:13:00 While Loops In Python 00:07:00 While Vs For Loop 00:07:00 Break Continue Statment 00:07:00 Try And Except 00:07:00 Exercise 3 00:07:00 Module 05: Functions Intro To Functions 00:05:00 Arguments, Parameters And Multiple Arguments 00:09:00 Arbitrary Arguments, Keyword Arguments, Arbitrary Keyword Arguments 00:10:00 Default Parameter Value And Passing A List As Parameters 00:09:00 Return Values And Pass Statements 00:06:00 Exercise 4 00:09:00 Module 06: Python Arrays, Iterators and Generators Array, Length Of Array, Accessing Elements Of Array 00:10:00 Adding, Removing Elements In Array, Array Methods 00:12:00 Iterator In Python 00:14:00 Generators In Python 00:07:00 Exercise 5 00:07:00 Module 07: File Manipulation File Hancdling And Syntax 00:05:00 Reading The File, Line Extraction And Parsing 00:11:00 Appending And Writing The Files In Python 00:06:00 Create And Delete A File 00:05:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
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QLS Course 01: 2021 Data Science & Machine Learning with R from A-Z QLS Course 02: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Python Data Science with Numpy, Pandas and Matplotlib Course 02: R Programming for Data Science Course 03: Statistics & Probability for Data Science & Machine Learning Course 04: Spatial Data Visualisation and Machine Learning in Python Course 05: Google Data Studio: Data Analytics In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Master the usage of Excel Pivot Tables, Pivot Charts, Slicers, and Timelines. Develop proficiency in Machine Learning using Python. Acquire skills to manipulate data using Numpy, Pandas, and Matplotlib. Learn to code in R for Data Science applications. Understand the application of Statistics & Probability in Data Science & Machine Learning. Learn to create impactful data visualisations and analyse data using Google Data Studio. The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included