Can I attend the course online?

Yes. You can attend this Python course either online via Zoom or face-to-face at the ETC Training Center in Lebanon.

Do you offer this class outside Lebanon on clients’ sites?

Yes, we do. Not just Python—we frequently travel to deliver courses onsite outside Lebanon.

What topics are covered in the Python Level 1 course?

This course covers the fundamentals of Python programming including variables, loops, conditions, functions, lists, and dictionaries, preparing you to build your own programs.

Why would I need to take Python 2, the advanced level?

While in the first course we focus on turning non-programmers into programmers with solid foundations, in the advanced course we focus on developing desktop applications using object-oriented programming and graphical user interfaces.

Do I receive a certificate after completing the course?

Yes. After completing the course, you will receive a certificate of attendance from ETC Expertise Training Center. ETC is a licensed school by the ministry of education.

Python Courses Lebanon – Python 1 Fundamentals Training

Learn Python programming fundamentals including variables, loops, conditions, functions, and data structures through hands-on training at ETC Lebanon.

Duration: 30 hours

Teaching Methodology: Hands-on

Course Schedule: Schedule

Fees: $330

Course Mode: Blended – Face-to-face or online via Zoom

DESCRIPTION

This Python course is designed to enhance your programming skills and cultivate logical thinking, empowering you to proficiently write applications for statistical analysis, financial modeling, and mathematical computations. You'll gain expertise in code structuring through the use of while and for loops, conditional statements (if), and functions. Additionally, you'll learn how to leverage libraries and develop a deep understanding of Python's data structures.

In the advanced course, participants will acquire proficiency in utilizing Python for various applications, including data science, user interface development, and object-oriented programming with classes.

What's covered in this course:

1. Introduction

1.0 Installing Python and PyCharm
1.1 Background
1.2 Input/output
1.3 Variables
1.4 String basics
1.5 Number basics
1.6 Error messages
1.7 Comments
1.8 Why Python?

2. Expressions

2.1 The Python shell
2.2 Type conversion
2.3 Mixed data types
2.4 Floating-point errors
2.5 Dividing integers
2.6 The math module
2.7 Formatting code
2.8 Python careers

3. Objects

3.1 Strings revisited
3.2 Formatted strings
3.3 Variables revisited
3.4 List basics
3.5 Tuple basics

4. Decisions

4.1 Boolean values
4.2 If-else statements
4.3 Boolean operations
4.4 Operator precedence
4.5 Chained decisions
4.6 Nested decisions
4.7 Conditional expressions

5. Loops

5.1 While loop
5.2 For loop
5.3 Nested loops
5.4 Break and continue
5.5 Loop else

6. Functions

6.1 Defining functions
6.2 Control flow
6.3 Variable scope
6.4 Parameters
6.5 Return values
6.6 Keyword arguments

7. Modules

7.1 Module basics
7.2 Importing names
7.3 Top-level code
7.4 The help function
7.5 Finding modules

8. Strings

8.1 String operations
8.2 String slicing
8.3 Searching/testing strings
8.4 String formatting
8.5 Splitting/joining strings

9. Lists

9.1 Modifying and iterating lists
9.2 Sorting and reversing lists
9.3 Common list operations
9.4 Nested lists
9.5 List comprehensions

10. Dictionaries

10.1 Dictionary basics
10.2 Dictionary creation
10.3 Dictionary operations
10.4 Conditionals and looping in dictionaries
10.5 Nested dictionaries and dictionary comprehension

11. Sets

11.1 Set basics
11.2 Creating sets
11.3 Adding and removing elements
11.4 Set operations (union, intersection, difference)
11.5 Set comprehensions
11.6 Sets vs. lists and tuples
11.7 Practical applications of sets

12. Reading/Writing to Files

12.1 Understanding country codes and their formats
12.2 Reading data from files
12.3 Using dictionaries to map country codes to country names
12.4 Grouping data based on keys (e.g., country code)
12.5 Removing duplicates from datasets
12.6 Writing data to multiple output files
12.7 Creating summary reports in text files
12.8 Exporting data to CSV files
12.9 Handling unknown or invalid data entries
12.10 Automating data processing workflows with Python
Download Data Files

13. Final Assignment — Student Scores Analysis Program

13.1 Reading data from a text file using file dialogs
13.2 Handling file errors and empty files gracefully
13.3 Parsing and cleaning input data (splitting strings, trimming whitespace)
13.4 Using dictionaries to store student names and scores
13.5 Data validation: detecting malformed lines and invalid scores
13.6 Sorting dictionary items by value and key
13.7 Formatting output in a neat tabular form using string formatting
13.8 Calculating statistical measures: total, count, average
13.9 Presenting summary statistics clearly
13.10 Optional enhancements:
- ---Exporting results to a CSV or text file
- ---Plotting score distributions with matplotlib
- ---Adding user input validation and error handling

AUDIENCE

This course is ideal for teenagers, university students, and anyone who wants to learn coding.

PREREQUISITES

Basic computer skills.

Python Level 1 Course – Frequently Asked Questions

Is this Python course suitable for beginners?
Yes. This Level 1 Python course is designed for beginners with no prior programming experience. We teach you the basics and build up to creating simple and complex applications.

What are the advantages of learning Python?
Python is the most recommended language for beginners because of its simplicity and versatility. It is widely used in web development, data science, automation, and mobile applications.