Free Course
Python Ultimate Course
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Course curriculum
1 sections · 47 lessons · 26h total
Course Material
Python Full Course for Beginners (13 Hours) – From Zero to Hero
782:53
What is Python (Visually Explained) | How It Works and How to Learn It | #Python Course 1
10:47
How to Install Python and VS Code + BONUS Roadmap! (Step-by-Step) | #Python Course 2
14:11
Python Comments: Visually Explained | #Python Course 3
5:20
Python Print Function: Visually Explained | #Python Course 4
21:29
Python Variables: Visually Explained | #Python Course 5
13:39
Python Input Function: Visually Explained | #Python Course 6
9:16
Python Data Types: Visually Explained | #Python Course 7
30:23
Python String Functions Explained | Text Manipulation & Cleaning | #Python Course 8
74:37
Python Numbers Mastery | Math Functions, Round & Random | #Python Course 9
28:51
Python Control Flow: Visually Explained | #Python Course 10
7:00
Python Boolean Functions | bool, all, any, isinstance | #Python Course 11
8:40
Python Comparison Operators (Visually Explained) | #Python Course 12
7:08
Python Logical Operators (Visually Explained) | and, or, not, Execution Order | #Python Course 13
17:55
Python Membership & Identity Operators (Visually Explained) | IN & IS | #Python Course 14
12:32
Python If Elif Else Statements (Visually Explained) | #Python Course 15
51:47
Python If-Else One Line and Match-Case (Visually Explained) | #Python Course 16
14:11
Python For Loops (Visually Explained) | #Python Course 17
23:53
Python Break vs Continue vs Pass (Visually Explained) | Control Statements | #Python Course 18
20:44
Python For-Else Loop (Visually Explained) | Hidden Control Flow Trick | #Python Course 19
17:09
Python Nested Loops are Easy | A Must-Have Skill for Data Engineers | #Python Course 20
16:43
Python While Loops (Visually Explained) | For vs While Loops | #Python Course 21
28:36
Introduction to Data Structures in Python (Visually Explained) | #Python Course 22
10:11
How to Create a List in Python (Visually Explained) | #Python Course 23
12:06
How to Access Lists in Python (Indexing & Slicing Explained) | #Python Course 24
16:51
Python Unpacking (Visually Explained) | Asterisk * and Underscore _ | #Python Course 25
17:59
How to Explore & Analyze Lists in Python | #Python Course 26
14:03
How to Add, Remove, and Update Lists in Python (Visually Explained) | #Python Course 27
23:18
How to Order Lists in Python (Visually Explained) | sort(), sorted(), reverse() | #Python Course 28
10:06
How to Copy Python Lists Safely (Visually Explained) | Shallow Copy vs Deepcopy | #Python Course 29
17:04
How to Combine Lists in Python | 4 Simple Ways and ZIP Visually Explained | #Python Course 30
10:08
Python Iterator vs Iterable (Visually Explained) | enumerate, map, filter | #Python Course 31
23:27
Python Lambda Functions (Visually Explained) | #Python Course 32
15:51
Python List Comprehension (Visually Explained) | The Cleanest Way to Code | #Python Course 33
9:44
30 Python List Operations in 5 Minutes | #Python Course 34
6:01
Python Tuples (Visually Explained) | #Python Course 35
8:15
Python Sets (Visually Explained) | #Python Course 36
18:29
Python Dictionaries (Visually Explained) | #Python Course 37
27:24
Python Data Structures: When to Use List, Tuple, Set, Dict | #Python Course 38
3:54
Python Functions Made Simple (Visual Explanation) | #Python Course 39
18:12
Python Parameters vs Arguments (Explained Visually) | #Python Course 40
10:50
Python Parameters vs Global vs Local Variables (Visual Explanation) | #Python Course 41
10:47
Python Positional vs Keyword Arguments Explained | Default Parameters | #Python Course 42
12:15
Python *Args and **Kwargs Finally Make Sense | #Python Course 43
8:12
Python Return Vs Print() (Visual Explanation) | #Python Course 44
11:49
Python Functions Types You Must Know (Action, Transform, Validate, Orchestrate) | #Python Course 45
26:07
8 Python Function Habits That Make Your Code Clean and Professional | #Python Course 46
14:51
Course description
Full course description coming soon.
What you'll learn
Professional skill mastery with structured, progressive lessons
Hands-on real-world projects to build your portfolio
Industry best practices used at top-tier companies
Expert-level techniques that set you apart from peers
Certificate of completion to showcase your achievement
Lifetime access with all future updates included
Requirements
No prior experience required. A computer with internet access and a willingness to learn is all you need.
Your instructor
DW
Data with Baraa
Senior Practitioner & Educator
12+ years exp.
3 courses
1,467 students
A seasoned professional with years of hands-on industry experience. Their teaching philosophy centres on practical, no-nonsense instruction that bridges theory and real-world application.
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