Digital certificate - Included
Will be downloadable when all lectures have been completed
This innovative Python Programming from A-Z course has been compiled with the assistance and expertise of industry professionals. It has been carefully crafted to meet the learning requirements needed to help you make an outstanding contribution to the field and develop a successful career path.
The course has been completed by hundreds of students and has empowered them to find work and form a rewarding career. The course is designed and developed following reputable international standards. It will make your CV outstanding and put you ahead of the competition. It is designed for study anytime, anywhere, on any device. Upon completing our final assessment, you will be awarded a certificate to validate your new skills and allow you to enter this dynamic employment sector.
After enrolling on this Python Programming from A-Z course, you can use our support scheme to question professional tutors by email. The course was designed by experts for the future-focused professional and considers today's rapidly changing professional environment.
Curriculum: Python Programming from A-Z course
Here is a curriculum breakdown of course:
1 - Python Course Intro
1 - Intro To Python Programming
2 - What is Python Programming
3 - Who is This Course For
4 - Python Marketplace
5 - Python Job Opportunities
6 - Python Job Roles
7 - Python Course Structure
8 - Getting a python job w.o degree
2 - Getting Familiar With Python
9 - Getting Familiar With Python (section overview)
10 - Installing Python on Windows
11 - Anaconda and Jupyter Notebooks 1
12 - Anaconda and Jupyter Notebooks 2
13 - Comments
14 - Python Syntax
15 - Line Structure
16 - Line Structure
17 - Joining Lines
18 - Multiple Statements on a Single Line
19 - Indentation
3 - Python Data Types
20 - Python Basic Data Types (section overview)9
21 - Strings Overview
22 - String Manipulation
23 - String Indexing
24 - String Slicing
25 - Printing
26 - Python Variables
27 - Integers and Float
28 - Booleans
29 - Mini-Project 1 Letter Counter (1)
4 - Python Operators
30 - Python Operators (section overview)
31 - Comparison Operators
32 - Arithmetic Operators
33 - Assignment Operators
34 - Logical Operators
35 - Identity Operators (Need slide update as (Equality is misspelled)
36 - Membership Operators
37 - Bitwise Operators
5 - Python Advanced Data Types
38 - Python Advanced Data Types (section overview)
39 - Sets
40 - List Overview
41 - List Indexing and Slicing
42 - Tuples
43 - Dictionary
44 - When to use each one
45 - Compound Data Types
6 - Python Control Flow 1
46 - Control Flow Part 1 (section overview)
47 - For Loops
48 - Intro to Control Flow
49 - Basic Conditional Statements
50 - More Conditional Statements
51 - While Loops
7 - Python Control Flow 2
52 - Control Flow Part 2 (section overview)
53 - Break Statements
54 - Continue Statements
55 - Zip Function
56 - Enumerate Function
57 - List Comprehension
8 - Intro to Functions
58 - Python Functions (section overview)
59 - Intro to Functions
60 - Python Help Function
61 - Defining Functions
62 - Variable Scope
63 - DocStrings
9 - User Input and Error Handling
64 - Error Handling and User Input (section overview)
65 - Intro to Error Handling
66 - User Input
67 - Syntax Errors
68 - Exceptions
69 - Handling Exceptions
70 - Handling Exceptions
10 - Advanced Functions
71 - Python Advanced Functions (section overview)
72 - Lambda Functions
73 - Functions args and kwargs
74 - Iterators
75 - Generators and Yield
76 - Map Functions
77 - Filter
11 - Scripting and Libraries
78 - Scripting and Libraries (section overview)
79 - What is a script.
80 - What is an IDE
81 - What is a text editor
82 - from jupyter notebook to vscode
83 - From jupyter notebook to vscode
84 - Importing Scripts
85 - Standard Libraries
86 - Third Party Libraries
12 - NumPy
87 - Numpy section overview
88 - What is NumPy
89 - Why NumPy
90 - NumPy Arrays
91 - Reshaping, Modifying and Accessing NumPy arrays
92 - Slicing and Copying
93 - Inserting , Deleting, Appending
94 - Logical Indexing
95 - Broadcasting
13 - Pandas
96 - Pandas
97 - Pandas Series
98 - Pandas DataFrame
99 - Pandas DataFrame Manipulation
100 - Dealing with Missing Values
101 - Pandas Series Manipulation
14 - Intro To OOP
102 - Functional vs OOP
103 - OOP key defintions
104 - Create your First Class
105 - How to create and use Objects
106 - Modifying Attributes
15 - Advanced OOP
107 - Python Decorators
108 - Property Decorator
109 - Class Methods Decorator
110 - Static Methods Decorators
111 - Inheritance
16 - Career in Python
112 - Starting a Career in Python Overview
113 - Getting Started with Freelancing
114 - Building a Brand
115 - Personal Branding
116 - Importance of Website Blog
117 - Networking Dos Don ts
118 - Top Freelance Sites
119 - Creating a Python Developer Resume
Method of Assessment
Students are evaluated by multiple-choice exams or assignments or a project submitted online. Students must score above 60% to pass.
Certification
Once you finish course, you will be awarded a course completion certificate.
Training course is for motivated learners with an internet connection and smart device (phone, tablet or computer). It is for anyone who wants to develop their professional skills and train for a new job or upskill ready for a promotion.
For the Python Programming from A-Z training course
Course is designed to give you the skills and knowledge for the job of your dreams, a promotion at work, or to become self-employed and start your own company.
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