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Python Programming Beginner to Advanced - Level 3

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6 STUDENTS
Overview Python Programming Beginner to Advanced – Level 3 – Learn Python is commonly used for developing websites and software, …

Overview

Python Programming Beginner to Advanced – Level 3 – Learn Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. In this course you will learn how to become a professional Python programmer and learn how to easily create programs, apps, scripts, games and much more.

In this practical, hands-on course where we blend practical work with solid theoretical training, our main objective is to give you the education not just to understand the ins and outs of Python Programming, but also to learn exactly how the software development industry works, the different roles within a team, and how to land a Python Programming job without a degree.

A Python Developer will likely also be responsible for creating integrable systems, but ultimately, the role depends on the industry and job description.

Why You Should Consider Taking this Course at Study365?

Study365 is a leading online provider for several accrediting bodies, and provides learners the opportunity to take this accredited iAP course.  At Study365, we give our fullest attention to our learners’ needs and ensure they have the necessary information required to proceed with the training.  

Learners who register will be given excellent learning support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships and their favourite restaurants. 

  • About the Tutor
  • Learning Outcomes
  • Who is this Course for?
  • Entry Requirements
  • Method of Assessment
  • Certification
  • Awarding Body
  • Career Path & Progression

Juan Galvan is a visionary, marketer and digital entrepreneur. He has been effective in enabling digital businesses to reach the next level of success. He believes in continued education and wants to share his extensive knowledge and experience as a coach, consultant and strategist with others. He aims to enable learners to expand their skill set in digital marketing, web development, programming and e-commerce. Juan Galvan will guide you to make critical business decisions, develop unique ways to deliver products in the marketplace and have clarity and confidence in your business.

  • How to use the basic Python structures: strings, lists, and dictionaries
  • Learn to use Python Object-Oriented Programming (OOP).
  • Confidence to write Python scripts to perform automated actions.
  • Learn to create your own Python programs from scratch.
  • Students
  • Aspiring Python Developer
  • IT professionals
  • Learners should be over the age of 16 and have a basic understanding of English, ICT and numeracy
  • A sound educational background is recommended

This is a knowledge-based course, and thus, will contain no method of assessment. 

Upon the successful completion of the course, learners will be awarded an accredited Certificate of Completion for Python Programming Beginner to Advanced - Level 3 By iAP.

The International Awards for Professionals (iAP) is an awarding body established in 1999 that aims to promote a high educational standard. They hope to create online education that is trustworthy and credible. They are focused on raising the standards of online education, and ensuring it is accessible to all. The iAP provides accreditation for a range of educational establishments, and monitors and continually develops the educational standards of such institutions. Their globally recognised certifications give learners the opportunity to acquire the skills and knowledge needed to gain employment in the chosen fields. 

A Python Developer is responsible for coding, designing, deploying, and debugging development projects, typically on the server-side (or back-end). But they also play a role in helping organizations with their technological framework. It’s relatively easy to learn. Given below are job titles you can compete for with additional qualifications along with the average UK salary per annum according to https://www.glassdoor.com.

  • Python Developer
  • Data Scientist
  • Machine Learning Engineer. 

Python has been adopted by many non-programmers too.

  • Accountant
  • Scientist

 

Course Curriculum

1. Introduction to Python Programming from A-Z
1.1. Intro to python section overview FREE 00:05:00
1.2. What is python programming? FREE 00:10:00
1.3. Who is this course for? FREE 00:05:00
1.4. Python programming marketplace FREE 00:06:00
1.5. Python job opportunities FREE 00:05:00
1.6. How to land a python job w/o a degree 00:08:00
1.7. Python programmer job roles 00:09:00
2. Getting Familiar with Python
2.1. Getting familiar with python overview 00:06:00
2.2. Installing python on windows 00:09:00
2.3. Anaconda and jupyter notebooks part 1 00:08:00
2.4. Anaconda and jupyter notebooks part 2 00:16:00
2.5. Python syntax 00:02:00
2.6. Python line structure 00:03:00
2.7. Line structure exercise 00:07:00
2.8. Python comments 00:05:00
2.9. Joining lines in python 00:05:00
2.10. Working with multiple statement on a single line 00:05:00
2.11. Indentation 00:08:00
3. Python Basic Data Types
3.1. Python basic data types overview 00:08:00
3.2. Python variables 00:08:00
3.3. Integers and floats 00:08:00
3.4. String overview 00:10:00
3.5. String manipulation 00:07:00
3.6. String indexing 00:04:00
3.7. String slicing 00:08:00
3.8. Working with boolean 00:05:00
3.9. Printing function 00:10:00
3.10. Mini project – letter counter 00:20:00
4. Python Operators
4.1. Python operators overview 00:04:00
4.2. Arithmetic operators 00:08:00
4.3. Assignment operators 00:04:00
4.4. Comparison operators 00:09:00
4.5. Logical operators 00:13:00
4.6. Identity operators 00:05:00
4.7. Membership operators 00:02:00
4.8. Bitwise operators 00:08:00
5. Python Advanced Data Types
5.1. Python advanced data types overview 00:11:00
5.2. Python lists 00:05:00
5.3. List slicing and indexing 00:04:00
5.4. Python tuples 00:02:00
5.5. Python sets 00:06:00
5.6. Python dictionaries 00:11:00
5.7. When to use each one? 00:05:00
5.8. Compound data types 00:03:00
6. Python Control Flow Part 1
6.1. Python control flow part 1 overview 00:15:00
6.2. Intro to control flow 00:01:00
6.3. More conditional statements 00:05:00
6.4. For loops 00:10:00
6.5. While loops 00:12:00
7. Python Control Flow Part 2
7.1. Python control flow part 2 overview 00:02:00
7.2. Break statements 00:08:00
7.3. Continue statements 00:05:00
7.4. Zip function 00:07:00
7.5. Enumerate function 00:04:00
7.6. List comprehension 00:04:00
8. Python Functions
8.1. Python function overview 00:03:00
8.2. Intro to functions 00:02:00
8.3. Python help functions 00:03:00
8.4. Defining functions 00:09:00
8.5. Variable scope 00:08:00
8.6. Doc strings 00:04:00
9. User Input and Error Handling
9.1. User input and error handling overview 00:02:00
9.2. Intro to error handling 00:03:00
9.3. User input 00:04:00
9.4. Syntax errors 00:04:00
9.5. Exceptions 00:11:00
9.6. Handling exceptions part 1 00:08:00
9.7. Handling exceptions part 2 00:08:00
10. Python Advanced Functions
10.1. Python advanced function overview 00:05:00
10.2. Lambda functions 00:05:00
10.3. Functions args and kwargs 00:10:00
10.4. Python iterators 00:08:00
10.5. Generators and yield 00:12:00
10.6. Map function 00:14:00
10.7. Filter function 00:08:00
11. Python Scripting and Libraries
11.1. Python scripting and libraries overview 00:05:00
11.2. What is a script? 00:01:00
11.3. What is an ide? 00:17:00
11.4. What is a text editor? 00:12:00
11.5. From jupyter notebook to vscode part 1 00:15:00
11.6. From jupyter notebook to vscode part 2 00:05:00
11.7. Importing scripts 00:03:00
11.8. Standard libraries 00:04:00
11.9. Third-party libraries 00:06:00
12. NumPy
12.1. Numpy overview 00:04:00
12.2. Intro to numpy 00:04:00
12.3. Why use numpy 00:04:00
12.4. Numpy arrays 00:10:00
12.5. Reshaping, accessing, and modifying 00:07:00
12.6. Slicing and copying 00:04:00
12.7. Inserting, appending, and deleting 00:10:00
12.8. Array logical indexing 00:04:00
12.9. Broadcasting 00:08:00
13. Pandas
13.1. Intro to pandas 00:17:00
13.2. Pandas series 00:17:00
13.3. Pandas series manipulation 00:17:00
13.4. Pandas dataframe 00:17:00
13.5. Pandas dataframe manipulation 00:13:00
13.6. Dealing with missing values 00:10:00
14. Intro To OOP
14.1. Functional vs oop 00:06:00
14.2. Oop key definitions 00:04:00
14.3. Create your first class 00:12:00
14.4. How to create and use objects 00:06:00
14.5. How to modify attributes 00:12:00
15. Advanced OOP
15.1. Python decorators 00:27:00
15.2. Property decorator 00:09:00
15.3. Class method decorator 00:07:00
15.4. Static methods 00:10:00
15.5. Inheritance from a-z 00:21:00
16. Starting a Career in Python
16.1. Python career overview 00:06:00
16.2. Getting started with freelancing 00:09:00
16.3. Building a brand 00:12:00
16.4. Personal branding 00:13:00
16.5. Importance of having website/blog 00:04:00
16.6. Networking 00:06:00
16.7. Top freelance websites 00:08:00
16.8. Creating a python developer resume 00:06:00
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Completion Certificate Request

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