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Python Programming & Coding - CPD Certified

Syntax | Line Structure | Strings | Variables | Booleans | Operators | Data Types | Functions

Skill Arts

Summary

Price
Save 14%
£12 inc VAT (was £14)
Offer ends 31 May 2024
Study method
Online, On Demand What's this?
Duration
15.7 hours · Self-paced
Qualification
No formal qualification
Certificates
  • CPDQE Certificate on Python Programming & Coding Diploma - Free
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students
9 students purchased this course

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Overview

Why Study This Python Programming & Coding Diploma?

  • According to industry insights, Python is one of the most sought-after programming languages, with a rising demand for Python developers in fields ranging from web development to data science and artificial intelligence.
  • According to the UK Tech Salaries 2023 report by CodeinWP, Python developers earn an average salary of £55,000 per year.
  • The demand for Python developers globally is expected to grow by 30% in the next five years.
  • According to Indeed, the number of job postings for Python developers in the UK has increased by 50% in the past year.

Learning Outcomes:

  • Delve into the foundational Python structures: strings, lists, and dictionaries.
  • Familiarise yourself with Python's Object-Oriented Programming (OOP) concepts.
  • Discover the process of crafting a Python program from the ground up.
  • Grasp how to compute, fetch, and store data utilising Python variables.
  • Master Functions in Python.

CPDQE Accreditation:

This Python Programming & Coding Diploma is CPDQE accredited. CPD is a globally recognised parameter for continuous professional development acknowledged by thousands of professional bodies, employers and academic institutions in the UK and around the world.

Dual Certificates:

After completing this Python Programming & Coding Diploma, you will receive a course completion certificate from Reed. Also, you will receive a CPDQE-accredited signed certificate from SkillArts.

Curriculum

18
sections
123
lectures
15h 40m
total

    • 2: Python: Intro To Python Programming 05:20
    • 3: Python: What is Python Programming 09:30
    • 4: Python: Who is This Course For 04:33
    • 5: Python: Marketplace 05:46
    • 6: Python: Job Opportunities 04:43
    • 7: Python: Job Roles 08:41
    • 8: Python: Course Structure 04:18
    • 9: Python: Getting a python job w.o degree 08:20

    • 10: Python: Getting Familiar With Python (section overview) 05:56
    • 11: Python: Installing Python on Windows 09:36
    • 12: Python: Anaconda and Jupyter Notebooks 1 07:30
    • 13: Python: Anaconda and Jupyter Notebooks 2 16:24
    • 14: Python: Comments 05:01
    • 15: Python: Python Syntax 02:13
    • 16: Python: Line Structure 02:43
    • 17: Python: Line Structure 07:11
    • 18: Python: Joining Lines 05:00
    • 19: Python: Multiple Statements on a Single Line 04:52
    • 20: Python: Indentation 07:39
    • 21: Care for a feedback? 01:00 PDF

    • 22: Python: Basic Data Types (section overview) 08:25
    • 23: Python: Strings Overview 09:50
    • 24: Python: String Manipulation 07:17
    • 25: Python: String Indexing 04:28
    • 26: Python: String Slicing 08:16
    • 27: Python: Printing 09:48
    • 28: Python: Python Variables 08:09
    • 29: Python: Integers and Float 08:26
    • 30: Python: Booleans 04:53
    • 31: Python: Mini-Project 1 - Letter Counter (1) 19:55

    • 32: Python: Operators (section overview) 04:11
    • 33: Python: Comparison Operators 09:20
    • 34: Python: Arithmetic Operators 08:17
    • 35: Python: Assignment Operators 03:40
    • 36: Python: Logical Operators 12:36
    • 37: Python: Identity Operators (Need slide update as (Equality is misspelled) 04:41
    • 38: Python: Membership Operators 02:01
    • 39: Python: Bitwise Operators 07:49

    • 40: Python: Python Advanced Data Types (section overview) 10:37
    • 41: Python: List Overview 04:38
    • 42: Python: List Indexing and Slicing 04:25
    • 43: Python: Tuples 02:20
    • 44: Python: Sets 06:01
    • 45: Python: Dictionary 10:40
    • 46: Python: When to use each one 04:31
    • 47: Python: Compound Data Types 02:43

    • 48: Python: Control Flow Part 1 (section overview) 15:00
    • 49: Python: Intro to Control Flow 00:56
    • 50: Python: Basic Conditional Statements 13:38
    • 51: Python: For Loops 09:50
    • 52: Python: While Loops 11:46
    • 53: Python: More Conditional Statements 05:04

    • 54: Python: Control Flow Part 2 (section overview) 02:28
    • 55: Python: Break Statements 07:59
    • 56: Python: Continue Statements 04:51
    • 57: Python: Zip Function 07:20
    • 58: Python: Enumerate Function 03:58
    • 59: Python: List Comprehension 04:27

    • 60: Python: Python Functions (section overview) 02:49
    • 61: Python: Intro to Functions 02:16
    • 62: Python: Help Function 03:11
    • 63: Python: Defining Functions 09:29
    • 64: Python: Variable Scope 08:12
    • 65: Python: Doc Strings 03:44

    • 66: Python: Error Handling and User Input (section overview) 01:48
    • 67: Python: Intro to Error Handling 02:48
    • 68: Python: User Input 04:21
    • 69: Python: Syntax Errors 04:00
    • 70: Python: Exceptions 11:22
    • 71: Python: Handling Exceptions 1 08:29
    • 72: Python: Handling Exceptions 2 08:17

    • 73: Python: Advanced Functions (section overview) 05:10
    • 74: Python: Lambda Functions 05:29
    • 75: Python: Functions args and kwargs 10:01
    • 76: Python: Iterators 08:12
    • 77: Python: Generators and Yield 11:53
    • 78: Python: Map Functions 14:24
    • 79: Python: Filter 08:03

    • 80: Python: Scripting and Libraries (section overview) 04:29
    • 81: Python: What is a script. 01:24
    • 82: Python: What is an IDE 17:20
    • 83: Python: What is a text editor 11:46
    • 84: Python: From jupyter notebook to vs code 1 14:45
    • 85: Python: From jupyter notebook to vs code 2 05:03
    • 86: Python: Importing Scripts 03:04
    • 87: Python: Standard Libraries 04:13
    • 88: Python: Third Party Libraries 05:35

    • 89: Python: Numpy section overview 04:07
    • 90: Python: What is NumPy 04:28
    • 91: Python: Why NumPy 04:09
    • 92: Python: NumPy Arrays 10:23
    • 93: Python: Reshaping, Modifying and Accessing NumPy arrays 07:19
    • 94: Python: Slicing and Copying 05:52
    • 95: Python: Inserting , Deleting, Appending 09:45
    • 96: Python: Logical Indexing 03:43
    • 97: Python: Broadcasting 08:20

    • 98: Python: Pandas 16:43
    • 99: Python: Pandas Series 16:58
    • 100: Python: Pandas DataFrame 17:04
    • 101: Python: Pandas Data Frame Manipulation 12:54
    • 102: Python: Dealing with Missing Values 10:09
    • 103: Python: Pandas Series Manipulation 16:32

    • 104: Python: Functional vs OOP 06:16
    • 105: Python: OOP key defintions 04:04
    • 106: Python: Create your First Class 12:09
    • 107: Python: How to create and use Objects 06:04
    • 108: Python: Modifying Attributes 12:28

    • 109: Python: Decorators 27:09
    • 110: Python: Property Decorator 08:43
    • 111: Python: Class Methods Decorator 07:11
    • 112: Python: Static Methods Decorators 10:28
    • 113: Python: Inheritance 20:36

    • 114: Python: Starting a Career in Python Overview 05:55
    • 115: Python: Getting Started with Freelancing 09:26
    • 116: Python: Building a Brand 11:56
    • 117: Python: Personal Branding 13:08
    • 118: Python: Importance of Website Blog 04:22
    • 119: Python: Networking Do_s Don_ts 05:31
    • 120: Python: Top Freelance Sites 08:04
    • 121: Python: Creating a Python Developer Resume 06:00
    • 122: Thank You ! 01:00 PDF

    • 123: Python Programming: Final Exam 03:00

Course media

Description

Python Programming & Coding Course Syllabus:

  • Python Coding Fundamentals
  • Python Programming Introduction
  • Advanced Python Programming
  • Python for Beginners
  • Python Job Market Insights
  • Python Career Pathways
  • Python Course Framework
  • Securing a Python Role Without a Degree
  • Python Installation Guide
  • Python with Anaconda and Jupyter
  • Python Commenting Techniques
  • Python Syntax Essentials
  • Python Line Structure Mastery
  • Python Statements and Indentation
  • Python Data Types Deep Dive
  • Python Strings and Manipulation
  • Python Variables and Data Structures
  • Python Operators Comprehensive Guide
  • Python Advanced Data Types
  • Python Control Flow Mechanisms
  • Python Functions Explained
  • Python Error Handling Strategies
  • Python Advanced Functions
  • Python Scripting Essentials
  • Python Libraries Overview

Who is this course for?

  • Python & Data Scientist
  • Financial Analyst
  • Python Developer
  • Python Data Analyst
  • Individuals new to Python programming language
  • Data Scientists transitioning to Python from other analytical tools
  • Aspiring Python Data Analysts
  • Newcomers to Python development and coding

Questions and answers

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Certificates

CPDQE Certificate on Python Programming & Coding Diploma

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Reviews

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Course rating
100%
Service
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Content
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Value

Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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