Marcela A.
Before 365:
English teacher in Japan
After 365:
Business analyst | Sabre
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Online Course
bestseller
Introduction to Python
with
Martin Ganchev
Learn to code in Python: the most popular and widely used programming language
61,873 students already enrolled
Skill level:
Basic
Duration:
2 hours
-
Lessons (2 hours)
-
Practice exams (25 minutes)
-
Projects (1 hour)
- Lessons (2 hours)
- Practice exams (25 minutes)
- Projects (1 hour)
CPE credits:
5
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
- Gain a proper introduction to the world of Python programming.
- Master variables, data types, and conditional statements.
- Solve practical Python exercises alongside the instructor.
- Build your first Python program to tackle real‑world tasks.
- Familiarize yourself with advanced Python programming techniques.
Topics & tools
TheoryJupyterProgrammingPython
Your instructor
Content Creator & Content Manager at 365 Data Science | Data Science Instructor
Track record
Bringing real-world expertise from leading global companies
Academic background
Master's degree, Economic and Social Sciences
Course OVERVIEW
Description
CPE Credits: 5
Field of Study: Information Technology
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
Python is one of the most widely used programming languages among data scientists. This course will show you the technical advantages it has over other programming languages. You will start working with its modules for scientific computing, and you will begin to understand why these functionalities make Python the preferred choice in finance, econometrics, economics, data science, and machine learning.
Prerequisites
- Jupyter Notebook or JupyterLab (available through anaconda.com or online platforms like Google Colab)
Advanced preparation
- None
Curriculum
45 lessons
55 exercises
1 project
4 exams
- 2. Python Variables and Data Types20 minThis is where you will start coding and learn one of the most fundamental concepts in programming – working with variables.20 minThis is where you will start coding and learn one of the most fundamental concepts in programming – working with variables.Python Variables FreeCoding exercise FreeExercise FreeUnderstanding Numbers and Boolean Values FreeCoding exercise FreeCoding exercise FreeExercise FreeStrings FreeExercise FreeCoding exercise FreeCoding exercise FreeIntroduction to Anaconda AI FreeUsing the Anaconda Assistant: Strings Free
- 3. Basic Python Syntax12 minIf you want to master Python programming, there is no way around learning basic Python syntax operators first. In this section, we will cover the double equality sign, reassigning of values, adding comments, line continuation, indexing elements, arithmetic operators, comparison operators, logical operators, and identity operators.12 minIf you want to master Python programming, there is no way around learning basic Python syntax operators first. In this section, we will cover the double equality sign, reassigning of values, adding comments, line continuation, indexing elements, arithmetic operators, comparison operators, logical operators, and identity operators.The Arithmetic Operators of Python FreeExercise FreeCoding exercise FreeWhat is the Double Equality Sign? FreeCoding exercise FreeExercise FreeHow to Reassign Values FreeCoding exercise FreeExercise FreeHow to Add Comments FreeExercise FreeUnderstanding Line Continuation FreeHow to Index Elements FreeCoding exercise FreeExercise FreeHow to Structure Your Code with Indentation FreeExercise FreeCoding exercise Free
- 4. More on Operators8 minIn this section, we will explore more operators used in Python. More precisely, we will first learn about the comparison operators, which will obviously allow you to compare different values in your code. Then, we will focus on the logical operators AND, OR, and NOT. We will conclude by a few examples with the identity operators IS and IS NOT.8 minIn this section, we will explore more operators used in Python. More precisely, we will first learn about the comparison operators, which will obviously allow you to compare different values in your code. Then, we will focus on the logical operators AND, OR, and NOT. We will conclude by a few examples with the identity operators IS and IS NOT.Python's Comparison OperatorsExerciseCoding exercisePython's Logical and Identity OperatorsExerciseCoding exercise
- 5. Conditional Statements14 minConditional statements are the bread and butter of programming. Here, you will start creating your own IF, ELSE, and ELIF statements.14 minConditional statements are the bread and butter of programming. Here, you will start creating your own IF, ELSE, and ELIF statements.Getting to know the IF StatementExerciseCoding exerciseAdding an ELSE StatementCoding exerciseElse if, for Brief – ELIFCoding exerciseAn Additional Explanation of Boolean ValuesExercise
- 6. Functions19 minPython functions are another invaluable tool for programmers. They allow you to carry out pre-defined or specifically-designed operations that manipulate the data you are working with and bring it one step closer to representing a meaningful output.19 minPython functions are another invaluable tool for programmers. They allow you to carry out pre-defined or specifically-designed operations that manipulate the data you are working with and bring it one step closer to representing a meaningful output.How to Define a Function in PythonExerciseHow to Create a Function with a ParameterCoding exerciseAnother Way to Define a FunctionExerciseCoding exerciseHow to use a Function within a FunctionCoding exerciseUse Conditional Statements and Functions TogetherCoding exerciseHow to Create Functions Which Contain a Few ArgumentsBuilt-In Functions in Python Worth KnowingCoding exercise
- 7. Sequences19 minSequences are one of the main building blocks of computer programming. A sequence helps you store and organize different values you are working with. We will teach you how to work with lists, list slicing, tuples, and dictionaries.19 minSequences are one of the main building blocks of computer programming. A sequence helps you store and organize different values you are working with. We will teach you how to work with lists, list slicing, tuples, and dictionaries.Introduction to ListsExerciseCoding exerciseUsing Methods in PythonExerciseCoding exerciseWhat is List Slicing?Coding exerciseWorking with TuplesCoding exercisePython DictionariesPractice examExerciseCoding exercise
- 8. Iteration25 minIterations are a programming technique which allows you to execute certain code repeatedly. This is one of the instruments letting you to automate repeated tasks and benefit from one of its main strong points.25 minIterations are a programming technique which allows you to execute certain code repeatedly. This is one of the instruments letting you to automate repeated tasks and benefit from one of its main strong points.Using For LoopsExerciseUsing While Loops and IncrementingUse the range() Function to Create ListsExerciseCoding exerciseCombine Conditional Statements and LoopsCoding exerciseAll In – Conditional Statements, Functions, and LoopsCoding exerciseUsing the Anaconda Assistant: Several Python ToolsHow to Iterate over DictionariesUsing the Anaconda Assistant: Dictionaries
- 9. A few important Python concepts and terms22 minThere are a few crucial concepts that everyone working with Python must understand – classes, object, object-oriented programming (OOP), Python standard library, functions, methods, attributes, etc. Although we will pay particular attention to all these terms later in the program, we believe it is very important to have been briefly introduced to them now.22 minThere are a few crucial concepts that everyone working with Python must understand – classes, object, object-oriented programming (OOP), Python standard library, functions, methods, attributes, etc. Although we will pay particular attention to all these terms later in the program, we believe it is very important to have been briefly introduced to them now.Object-Oriented Programming (OOP)ExerciseModules, Packages and the Python Standard LibraryExerciseImporting Modules in PythonPractice examExerciseWhat is Software Documentation?Practice examThe Python Documentation
- 10. Course project and exam85 min85 minPrime Numbers in Python Project FreeCourse exam
Free lessons
1.1 Course Introduction
5 min
1.2 Setting Up the Environment
1 min
2.1 Python Variables
5 min
2.4 Understanding Numbers and Boolean Values
3 min
2.8 Strings
6 min
3.1 The Arithmetic Operators of Python
3 min
96%
of our students recommend
365 Data Science.
$29,000
average salary increase
after moving to an AI and data science career
9 in 10
of our graduates landed a new AI & data job
after enrollment
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.
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