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Python Course Overview

The basics of Python and real-world applications are covered in Python training in Oxford. Python data operations, strings, conditional expressions, error handling, shell scripting, web scraping, and Django are covered in the modules, projects handled at the end of the lessons, and assignments in the Python course in Oxford.

Python Course Key Features

100% Money Back Guarantee
No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that a course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 20+ assisted practices on all modules
  • Industry-recognized course completion certificate
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • 8X higher interaction in live online classes conducted by industry experts

Skills Covered

  • Web scraping
  • Objectoriented programming
  • Operators
  • Methods
  • Django
  • Indexing
  • Sets
  • Dictionaries
  • Conditional statements
  • Loops
  • Functions
  • File handling
  • Errors and exceptions
  • Shell scripting

Benefits

Python is the world's second most popular programming language. Python training in Oxford is preferred by Data Scientists, AI Engineers, and Machine Learning Engineers for improving their careers. Programmers with this Python course in Oxford earn around $115,000 per annum.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Python Developer
    Annual Salary
    $68KMin
    $92KAverage
    $128KMax
    Source: Glassdoor
    Hiring Companies
    Microsoft hiring for Python Developer professionals in Oxford
    Wells Fargo hiring for Python Developer professionals in Oxford
    IBM hiring for Python Developer professionals in Oxford
    Mindtree hiring for Python Developer professionals in Oxford
    Source: Indeed

Training Options

Self-Paced Learning

$ 1,199

  • Lifetime access to high-quality self-paced e-learning content curated by industry experts
  • 24x7 learner assistance and support

Corporate Training

Customized to your team's needs

  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Python Course Curriculum

Eligibility

Programmers believe that the Python course in Oxford to be sufficient because of its simplicity and usefulness in Data Science. This is beneficial to anybody interested in taking up Python training in Oxford for software development or data science professions. Software developers, software engineers, technical leaders, programming enthusiasts, and architects can benefit from the Python course in Oxford.
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Pre-requisites

This Python course in Oxford does not require any prior programming expertise or experience. Python is one of the powerful, useful yet very simple programming languages to learn, but it is also one of the toughest in which you can gain excellence. Anyone who works hard enough can obtain Python training in Oxford, but becoming a Python developer requires a lot of effort and patience. As a result, you might consider taking a Python course in Oxford to learn how to programme in Python.
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Course Content

  • Section 01 - Self Paced Learning Curriculum

    Preview

    • Lesson 01: Python Basics

      32:11Preview
      • 1.1 Course Introduction
        01:50
      • 1.2 Learning Objectives
        00:49
      • 1.3 Introduction to Python and It s Features
        06:10
      • 1.4 Python Introduction - Uses and Flavours
        06:16
      • 1.5 Python Introduction - Why Python
        00:55
      • 1.6 Software Installation and Environment Setup
        01:42
      • 1.7 Demo: Software Installation and Environment setup
        05:13
      • 1.8 Data Types
        04:24
      • 1.9 Input Output Functions
        01:23
      • 1.10 Demo: Data Types and Input Output Functions
        02:57
      • 1.11 Key Takeaways
        00:32

    • Lesson 02: Data Operations

      01:11:35Preview
      • 2.1 Learning Objectives
        00:26
      • 2.2 Data Type Conversion
        04:36
      • 2.3 Arithematic Operators
        02:35
      • 2.4 Comparision Operators
        03:14
      • 2.5 Assignment Operators
        03:02
      • 2.6 Bitwise Operators
        02:16
      • 2.7 Demo: Data Operations
        26:54
      • 2.8 String Methods
        05:01
      • 2.9 Demo: String Operations
        04:37
      • 2.10 List Methods
        02:37
      • 2.11 Demo: List Operations
        02:43
      • 2.12 Tuple Methods
        01:40
      • 2.13 Demo: Tuple Operations
        02:50
      • 2.14 Sets Methods
        01:50
      • 2.15 Dictionary Methods
        03:25
      • 2.16 Demo: Dictionary Operations
        03:28
      • 2.17 Key Takeaway
        00:21

    • Lesson 03: Conditional Statements and Functions

      30:57Preview
      • 3.1 Learning Objective
        00:20
      • 3.2 Expressions
        03:28
      • 3.3 Conditional Statement
        03:08
      • 3.4 Demo - Conditional Statement
        04:32
      • 3.5 Loops - for loop
        04:34
      • 3.6 Loops - while loop
        01:00
      • 3.7 Demo - Loops
        04:47
      • 3.8 Functions
        02:42
      • 3.9 Demo - Functions
        06:08
      • 3.10 Key Takeaway
        00:18

    • Lesson 04: Error Handling and File Operations

      01:04:13Preview
      • 4.1 Learning Objective
        00:25
      • 4.2 File Handling
        05:48
      • 4.3 Demo - File Handling
        04:12
      • 4.4 Errors
        04:45
      • 4.5 Exceptions
        04:51
      • 4.6 Demo - Errors and Exceptions
        05:56
      • 4.7 Logging
        03:02
      • 4.8 Demo - Logging
        04:59
      • 4.9 Python Debugger(Pdb Module)
        03:44
      • 4.10 Demo - Python Debugger
        07:46
      • 4.11 Objects and Classes
        03:35
      • 4.12 Objects and functions
        04:12
      • 4.13 Demo - Object Oriented Programming
        10:35
      • 4.14 Key Takeaway
        00:23

    • Lesson 05: Shell Scripting and Django

      36:17Preview
      • 5.1 Learning Objective
        00:24
      • 5.2 Shell Scripting
        04:21
      • 5.3 Sys, OS and Sub-Process module
        03:35
      • 5.4 Reading Writing Files and Working with Date-time Module
        04:42
      • 5.5 Demo - Shell Scripting in Python
        04:38
      • 5.6 Web Scrapping
        02:24
      • 5.7 Demo - Web Scrapping using Beautiful Soup
        06:22
      • 5.8 Django - Intro and Architecture
        03:59
      • 5.9 Demo - Django Installation
        05:31
      • 5.10 Key Takeaway
        00:21

    • Lesson 06: Logging Infrastructure

      52:58Preview
      • 6.01 Learning Objectives
        00:28
      • 6.02 Introduction to Python Logging
        04:48
      • 6.03 Concepts of Python Logging
        05:25
      • 6.04 Changing the Format of Logs
        05:00
      • 6.05 Python Logger
        07:12
      • 6.06 Using Python Logging
        05:21
      • 6.07 Logging Handlers and Formatters
        03:52
      • 6.08 Logging Flow
        05:16
      • 6.09 Configuring Logging
        02:09
      • 6.10 Extending Logging
        01:20
      • 6.11 Buffering Logs
        00:29
      • 6.12 Logging Best Practices
        06:13
      • 6.13 Rotating Log Files
        02:23
      • 6.14 Logging to a File
        02:35
      • 6.15 Summary
        00:27

    • Lesson 07: Unittest Infrastructure

      38:08Preview
      • 7.01 Learning Objective
        00:22
      • 7.02 Introduction to Unit Testing
        05:26
      • 7.03 Introduction to Unittest Framework
        02:16
      • 7.04 Concept of Unittest Framework
        02:51
      • 7.05 Command Line
        02:19
      • 7.06 Python Unittest
        07:51
      • 7.07 Using Python Unittest
        02:15
      • 7.08 Testing for Exceptions
        01:03
      • 7.09 Test Fixtures
        01:44
      • 7.10 Python Assertions
        03:29
      • 7.11 Classes and Functions
        06:13
      • 7.12 Pros and Cons
        00:42
      • 7.13 Mock object library
        01:15
      • 7.14 Summary
        00:22

    • Lesson 08: Networking Concepts

      45:47Preview
      • 8.01 Learning Objective
        00:31
      • 8.02 Introduction to Python Networking
        04:02
      • 8.03 Sockets
        02:37
      • 8.04 Socket Programming
        06:05
      • 8.05 Working with Python Networking
        05:39
      • 8.06 Data Models
        00:58
      • 8.07 Building Client-Server Communication
        06:05
      • 8.08 Socket Types
        02:35
      • 8.09 TCP Sockets
        04:10
      • 8.10 The Tornado Frameworrk
        01:39
      • 8.11 Building a Python Chat Server
        10:59
      • 8.12 Summary
        00:27

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Python Reallife Projects

  • Project 1

    Python Decorators

    Implement a Python decorator that should take whatever the decorated function returns, and writes it to a file in a new line.

  • Project 2

    Manage the Password

    Develop a new version of a password manager that can keep track of all the passwords that have been set for the respective accounts.

  • Project 3

    Patient Management Application

    Write an application in Django for a hospital receptionist that has features, including checking if the patient is already registered. If not register the patient.

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Python Course Exam & Certification

Python Certificate in Oxford

  • What should I do to have my Simplilearn Python training in Oxford certification unlocked?

    You must complete one batch of Python course in Oxford or 85 per cent of the online self-learning course, and have a successful project evaluation to complete the Python training in Oxford. The Python course in Oxford that is available online is designed to give students a fundamental understanding of Python's key ideas, concepts, and applications.

  • What system requirements are there to take the Python certification in Oxford?

    You'll need a computer with a Webcam, Chrome browser, Microphone, Speaker, Headphones, and consistent internet access to take up the Python certification exam after the Python training in Oxford. If you get an 85 per cent in the Python course in Oxford test, you'll get a certificate from the SimpliLearn after Python course in Oxford.

Python Course Reviews

  • Charlotte Martinez

    Charlotte Martinez

    New York City

    This is a good course for beginners as well as experts with all the basic concepts explained clearly. It's a good starter to move to python programming for programmers as well as non- programmers

  • Sofia Taylor

    Sofia Taylor

    New York City

    This is one of the best courses I've taken on Simpliearn. The courseware is very well organized with a clearly thought out learning progression

  • Avery Anderson

    Avery Anderson

    New York City

    It was very well constructed, concise and to the point course. Great courseware

  • Peter Seboyeng

    Peter Seboyeng

    Cape Town

    After I completed the python course, there was a 20% increase in the number of freelance projects, I got. Also, my earnings increased by 30%.

  • Dinesh Singh Kunwar

    Dinesh Singh Kunwar

    Dy. Manager (IT Applications) at Mahindra Comviva, Gurgaon

    Nice and compact!

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Python Certification FAQs

  • Who delivers the Python Training in Oxford?

    Simplilearn’s Python Course in Oxford is offered by highly qualified trainers who have years of proven experience in Python programming and have worked on various industry projects. They also have rich experience in training students and giving them the best learning environment.

  • Who Should take this Python Certification Course in Oxford?

    This Python certification course in Oxford is ideal for professionals willing to become software developers or preparing for any data-related role like data scientist, data analyst, or AI engineer.

  • What is the salary of a Python specialist in Oxford?

    Python is one of the top AI and machine learning languages. A Python expert with Python Training Oxford can earn up to £33,493 per year as a salary higher than most other programming language experts. Oxford has many organizations that deal in self-learning applications. These organizations are ready to pay even more than the figure mentioned above to the deserving and appropriately qualified Python experts. Python Training in Oxford can add weight to your CV and improve your chance of getting selected.

  • Which major companies are hiring Python experts in Oxford?

    Python programmers build self-learning programs that help innovative companies reach new heights. In growing organizations, Python experts with Python training in Oxford

    are required to provide technical leadership and solve challenging business objectives with software solutions. Many organizations in the UK are looking for Python rockstar programmers with Python Training in Oxford to help them design and develop machine learning applications.

  • What are the major industries in Oxford?

    In addition to education, health, digital, and autos, Oxford has a range of sectors that contribute to its thriving economy. For individuals seeking a rewarding job in software development, the city offers a wide range of options. Taking Python Training in Oxford is a beautiful way to advance your career in machine learning, which is a rapidly evolving field.

  • How to Become a Python Expert in Oxford?

    Artificial intelligence is a fast-evolving subject. Getting Python Training in Oxford can help you benefit from the wide range of opportunities in AI and ML. However, a fulfilling career in software development has some prerequisites: 

    • Interest and expertise in data, AI, or related fields 
    • Basic knowledge in programming   
    • A Python Training in Oxford
       

  • How to find Python Training in Oxford?

     
    Python Training is given by many universities. But it's essential to choose the most relevant and powerful Python Training in Oxford for a lucrative career in software development, 
    - Make sure it has a trustworthy university accreditation. 
    - check if it is cost-effective 
    - has a manageable duration  
    - recommended by the alumni
     

  • Why Learn Python?

    Among the various programming languages available in the market, Python has made its way to become one of the fastest-growing languages. Python can be used for many applications like building web applications, game development, machine learning, scientific and numerical computing. Learning Python is beneficial whether you want to become a data scientist, machine learning engineer, data analyst, or even a software developer.

  • How do I become a Python Programmer?

    Python language has a simple syntax and English-like commands which makes it easy to learn. However, to become a Python programmer, you need a higher level of expertise and understand how to use it in a variety of applications. This Python course can help you get hands-on experience in using Python and its powerful libraries that is required to become a Python programmer.

  • Is this a live training program, or will I watch the pre-recorded videos?

    Simplilearn provides instructor-led training sessions conducted via live video streaming. It is a platform where candidates can communicate with the trainers, get the knowledge and get their queries resolved. Moreover, recordings of each class are also given to the candidates for reference.

  • What’s the Average salary of a Python Programmer?

    According to ZipRecruiter, the average annual salary of a Python Programmer in the United States is $115,066. By getting Python certified, such professionals can further increase their salary.

  • What if I Miss any Python Course Session?

    If you miss any session, you can refer to the recordings that are provided after each class.

  • I have basic knowledge of Python and looking to explore a career in Data Science. Do you provide any course related to this?

    Yes, we do provide Data Science with Python course for the aspirants who are looking to make their career in Data Science. It is recommended to enroll in this course to gain knowledge in data analysis, machine learning, data visualization, web scraping, and natural language processing.

  • Can I cancel my enrolment? Do I get a refund?

    After deducing the administration fee, the remaining course fee will be refunded on canceling the enrollment. Please go through our Refund Policy to find out more.

  • What payment options are available?

    Simplilearn accepts online payment through the following options to get the candidates enrolled for the Python course:

    • PayPal 
    • MasterCard
    • Diner’s Club
    • Visa Credit or Debit Card
    • American Express

  • I want to know more about the training program. Whom do I contact?

    Please join our Live Chat for instant support, call us, or Request a Call Back to have your query resolved.

Python Certification Training Course in Oxford

There are hundreds of colleges and universities in Oxford, the city home to the world-famous University of Oxford. Visit the Radcliffe Camera and Bodleian Library. Ashmolean Museum, Britain's oldest public museum, is owned by the University. The city is well-known for its achievements and excellence in various fields like arts and technology. Even though it’s an ancient city, Oxford is among the most technologically advanced cities in the United Kingdom. It has a tranquil atmosphere and is recognized for its high quality of life with a rich history. With a GDP of £6.75 billion in 2016, this developing city has excellent talents, tremendous opportunities, and rich culture. Multinational organizations have offices in Oxford and employ thousands of people. The city has a population of 151,584.

People visit Oxford for its various attractions challenging to come by elsewhere on the planet. If you love Gothic architecture, beautiful cathedrals, and ancient spires, Oxford is the place to be. You can never have enough of the below-mentioned attractions in Oxford:-

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