Mohamed Sherif E.
Before 365:
Data Science Intern
After 365:
AI Engineer at Quality Standards | Information Technology – QSIT
See all reviews
Online Course
new
Python 102: Beginner's Power-Up
with
Hristina Hristova
Explore core programming concepts with this Python for beginners follow-up course. Ideal for those with basic skills, this course will strengthen your foundation and advance you towards confident Python development.
703 students already enrolled
Skill level:
Basic
Duration:
2 hours
-
Lessons (1 hour)
-
Practice exams (30 minutes)
- Lessons (1 hour)
- Practice exams (30 minutes)
CPE credits:
2
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited
certificate
What you learn
- Master Python’s core sequence types (lists, tuples, ranges).
- Write smarter code using slicing, indexing, and built‑in methods.
- Build robust logic with if‑else constructs and independent and nested ifs.
- Gain control over program flow using for loops and while loops.
- Combine conditionals and loops to solve real-world problems.
Topics & tools
List operations and methodsIndexing and slicingNested structuresTuples and rangesMutable vs Immutable objectsConditional logicFor and while loopsBreak and continue statementsProgrammingPython
Your instructor
Head of Data Content at 365 Data Science | Theoretical Physicist | Educator in Physics, Mathematics, and Programming
Track record
Bringing real-world expertise from leading global companies
Academic background
Master's degree, Theoretical and Mathematical Physics
Course OVERVIEW
Description
CPE Credits: 2
Field of Study: Information Technology
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
Already familiar with Python basics? Ready to craft smarter, cleaner, more efficient code?
In this Python 102: Beginner's Power-Up course, we'll build on your foundational knowledge and take your Python skills to the next level. Designed for learners who arrive from the Python 101: Kickoff course or those already learning Python and understand the fundamentals, this course explores core programming structures and techniques essential for writing real-world Python programs.
Throughout this Python for beginners course, you'll learn and practice Python's most used sequence types (lists, tuples, and ranges) and how to manipulate them effectively using slicing, indexing, and built-in methods.
But this course goes beyond data structures. We'll sharpen your control flow skills with in-depth coverage of conditional logic—exploring if-else structures, standalone if statements, and how to effectively nest conditionals. Then, we'll dive deep into looping structures—from for loops to while loops—and explore how to combine them with conditional logic. You'll also learn how to break or continue the flow of your loops.
By the end of Python 102: Beginner's Power-Up, you'll have:
- A solid grasp of Python's most essential sequence types (lists, tuples, and ranges)
- Substantial control over program flow using conditional statements and loops
- Confidence in using nested structures to solve complex problems
What's included in the curriculum?
1. Welcome to the Course
Meet your instructor and get a quick overview of what you'll learn.
2. Mastering Sequence Types
Explore lists, tuples, and ranges—understanding their mechanisms and distinctions.
3. Making Decisions with Conditionals
Learn to use if-else statements to write logic-driven programs.
4. Loop Like a Pro
Master for and while loops by combining, nesting, and controlling them with break and continue.
Whether you're preparing for more advanced Python topics or just want to level up your skills for personal projects or technical interviews, Python 102 is your next step.
Power up your Python journey!
Prerequisites
- Prerequisites for the course include completing Python 101: Kickoff or having confidence working with integers, floats, Booleans, strings, and variables in Python.
Advanced preparation
- None
Curriculum
32 lessons
39 exercises
2 exams
- 2. Sequence Type: Lists16 min
Lists are one of Python's most versatile data types. In this section, you'll learn how to create, access, and modify lists using indexing, slicing, and built-in methods. We’ll also explore nested lists and how to work with them.
16 minLists are one of Python's most versatile data types. In this section, you'll learn how to create, access, and modify lists using indexing, slicing, and built-in methods. We’ll also explore nested lists and how to work with them.
Lists: Definition FreeIndexing FreeSlicing FreeCoding exercise FreeLists: Characteristics FreeExercise FreeList Operations and Methods FreeCoding exercise FreeCoding exercise FreeNested Lists FreeCoding exercise FreeCoding exercise Free - 3. Sequence Type: Tuples9 min
Tuples are like lists—but with a key twist: they're immutable. This section explores how and when to use tuples, their benefits, and how they compare to other sequence types. You'll also explore mutability and how Python handles objects behind the scenes.
9 minTuples are like lists—but with a key twist: they're immutable. This section explores how and when to use tuples, their benefits, and how they compare to other sequence types. You'll also explore mutability and how Python handles objects behind the scenes.
Tuples: DefinitionTuples: CharacteristicsMutable vs. Immutable ObjectsStrings vs. Lists vs. TuplesExercise - 4. Sequence Type: Ranges7 min
Ranges are a compact way to work with sequences of numbers in Python. You'll learn to create and use ranges and understand their key properties.
7 minRanges are a compact way to work with sequences of numbers in Python. You'll learn to create and use ranges and understand their key properties.
Ranges: DefinitionRanges: CharacteristicsSummarizing the Sequence TypeExercise - 5. If Statement13 min
Decision-making is essential in programming, and if statements are your tool for logic. This section covers simple and complex conditional structures—including if, if-else, and nested if statements. By the end, you'll know how to build logic-driven programs that respond to different conditions.
13 minDecision-making is essential in programming, and if statements are your tool for logic. This section covers simple and complex conditional structures—including if, if-else, and nested if statements. By the end, you'll know how to build logic-driven programs that respond to different conditions.
IfCoding exerciseCoding exerciseCoding exerciseIf-ElseCoding exerciseCoding exerciseCoding exerciseCoding exerciseCoding exerciseIf-If-...-Else...Coding exerciseIf-Elif-...-ElseExerciseCoding exerciseNested IfsExerciseCoding exerciseCoding exerciseCoding exercise - 6. For Loops17 min
Loops let you repeat actions efficiently. In this section, you'll master for loops, learn to combine them with if statements and explore advanced patterns like nested loops. You'll also obtain hands-on with break and continue to fine-tune loop behavior.
17 minLoops let you repeat actions efficiently. In this section, you'll master for loops, learn to combine them with if statements and explore advanced patterns like nested loops. You'll also obtain hands-on with break and continue to fine-tune loop behavior.
Introduction to LoopsFor LoopsCoding exerciseCoding exerciseCoding exerciseCombining For Loops with If StatementsCoding exerciseCoding exerciseCoding exerciseNested For LoopsCoding exerciseCoding exerciseThe Break StatementCoding exerciseCoding exerciseThe Continue StatementCoding exercise - 7. While Loops18 min
Unlike for loops, while loops run based on conditions rather than sequences. Here, you'll learn when to use while loops and how to structure them effectively. You'll also explore how to combine while and for loops to solve more complex tasks.
18 minUnlike for loops, while loops run based on conditions rather than sequences. Here, you'll learn when to use while loops and how to structure them effectively. You'll also explore how to combine while and for loops to solve more complex tasks.
While LoopsExerciseWhile Loops Over For LoopsWhile Loops Combined With For Loops: The TaskWhile Loops Combined With For Loops: The SolutionWhile Loops Combined With For Loops: The AnalysisCoding exerciseCoding exerciseCoding exercise - 8. Conclusion3 min
Let's wrap things up! This final section reviews what you've learned in your Python for beginners course and highlights how to apply your new skills in real projects. You're now equipped to write more powerful, efficient Python code.
3 minLet's wrap things up! This final section reviews what you've learned in your Python for beginners course and highlights how to apply your new skills in real projects. You're now equipped to write more powerful, efficient Python code.
ConclusionPractice exam - 9. Course exam60 min60 minCourse exam
Free lessons
1.1 Welcome to the Course!
2 min
1.2 What Does the Course Cover?
3 min
2.1 Lists: Definition
2 min
2.2 Indexing
3 min
$29,000
average salary increase
after moving to an AI and data science career
9 in 10
people walk away career-ready
with practical data and AI skills.
94%
of AI and data science graduates
successfully change
or advance their careers.
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-study learning plan.
How it WORKS
Student REVIEWS
