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Python Programming for Professionals Training Course

Teaches practical Python, from data types, loops and functions to file handling and error management, so professionals can automate tasks and process data.

SEAD · Software Engineering & Application DevelopmentAll Levels#2749ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

This course equips professionals with practical Python programming skills to automate routine tasks, process data, develop reusable scripts, and improve operational efficiency. Participants learn core programming concepts through hands-on exercises that reflect common workplace and business applications. The programme covers Python syntax, data types, control structures, functions, data collections, file handling, error management, modules, and external libraries. It also introduces data processing, application integration, and automation techniques, enabling participants to develop maintainable solutions that support reporting, analysis, and day-to-day business operations.

Learning Objectives

  • By the end of the course, participants will be able to:
  • Explain Python programming concepts and their practical applications in professional environments.
  • Write readable Python code using appropriate syntax, variables, and data types.
  • Apply conditional statements, loops, and control structures to solve practical problems.
  • Develop reusable functions and organize code into manageable modules.
  • Work with lists, tuples, dictionaries, sets, and other essential data structures.
  • Read, write, and process files in common formats, including text and CSV.
  • Implement exception handling to manage errors and improve program reliability.
  • Use standard Python libraries to automate repetitive tasks and process information.
  • Apply basic data validation and debugging techniques to identify and resolve programming issues.
  • Develop and test practical Python scripts aligned with workplace requirements.

Who Should Attend

This course is designed for professionals who want to develop practical programming skills to support their daily responsibilities, automate repetitive activities, and improve the efficiency of technical and administrative workflows. It is suitable for business analysts, data analysts, engineers, IT professionals, project coordinators, reporting specialists, and operations personnel who need to work with structured information or develop simple software solutions. The programme is also relevant to employees and managers in government entities, ministries, banks, financial institutions, oil and gas companies, industrial organizations, and large corporations seeking to strengthen their digital capabilities. No previous professional programming experience is required, although basic computer literacy and familiarity with spreadsheets or structured data will be beneficial.

Learning Outcomes

  • Create and execute Python scripts for practical workplace tasks.
  • Use variables, operators, and data types to represent and manipulate information.
  • Construct conditional logic and loops to automate repetitive operations.
  • Develop reusable functions with appropriate parameters and return values.
  • Select suitable data structures for organizing and processing information.
  • Perform file input and output operations using Python.
  • Handle common programming errors through exception handling and debugging.
  • Use built-in modules and external libraries to extend program functionality.
  • Process structured datasets and perform basic data validation.
  • Design, test, document, and maintain practical automation scripts.

Course Outline

Day 1

Python Fundamentals and Programming Essentials

  • Introduction to Python, its capabilities, and professional applications.
  • Understanding Python installation, development environments, and script execution.
  • Working with Python syntax, indentation, comments, and naming conventions.
  • Using variables, constants, operators, and fundamental data types.
  • Performing arithmetic, comparison, and logical operations.
  • Receiving user input and displaying formatted output.
  • Converting between data types and validating basic inputs.
  • Understanding common syntax errors and introductory debugging techniques.
  • Practical Exercise: Develop a Python script that accepts user inputs, performs calculations, validates values, and generates a formatted summary.
Day 2

Control Structures, Data Collections, and Functions

  • Applying conditional statements using if, elif, and else.
  • Using for and while loops to automate repetitive tasks.
  • Controlling loop execution with break, continue, and related statements.
  • Working with lists, tuples, dictionaries, and sets.
  • Accessing, updating, sorting, and filtering collections.
  • Understanding string operations, formatting, and common text-processing methods.
  • Defining functions, passing arguments, and returning results.
  • Organizing code into reusable components and avoiding unnecessary duplication.
  • Practical Exercise: Build a small employee or inventory management script that stores records, applies business rules, and produces summary results.
Day 3

File Handling, Modules, and Error Management

  • Understanding file paths, file modes, and safe file access.
  • Reading and writing text files using Python.
  • Processing CSV files and handling structured records.
  • Working with JSON data for exchanging information between applications.
  • Using context managers to manage file resources safely.
  • Importing standard library modules and organizing reusable code.
  • Implementing exception handling with try, except, else, and finally.
  • Validating inputs and handling missing, invalid, or unexpected data.
  • Practical Exercise: Develop a script that reads a structured data file, validates its contents, identifies errors, and generates a processed output file.
Day 4

Practical Automation and Data Processing

  • Identifying repetitive workplace tasks suitable for Python automation.
  • Automating file organization, renaming, and routine data-processing activities.
  • Using standard libraries such as os, pathlib, datetime, and csv.
  • Introducing external libraries and understanding package installation.
  • Exploring data manipulation using pandas where appropriate.
  • Filtering, transforming, and summarizing structured datasets.
  • Generating simple reports from processed data.
  • Applying logging, debugging, and basic testing practices.
  • Understanding safe handling of file paths, sensitive information, and automated operations.
  • Practical Exercise: Create an automation script that processes a dataset, applies validation rules, calculates summary metrics, and produces a structured report.
Day 5

Code Quality, Testing, and Final Practical Project

  • Applying coding standards and naming conventions to improve readability.
  • Organizing scripts into functions and modules for easier maintenance.
  • Understanding basic unit testing and test case design.
  • Debugging logic errors and improving program reliability.
  • Reviewing performance considerations and avoiding unnecessary processing.
  • Documenting code and preparing instructions for other users.
  • Managing dependencies and maintaining a consistent development environment.
  • Identifying opportunities to integrate Python scripts into existing business workflows.
  • Developing a personal action plan for continued Python learning and workplace application.
  • Final Workshop: Design, develop, test, and present a practical Python solution, such as a data-processing tool, automated reporting script, file-management utility, or basic business record system.

Upcoming Dates

Selected date

Lisbon · 20 – 24 Sept 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
MarrakeshScheduled
2 – 6 Nov 2026€4,700—
MilanScheduled
9 – 13 Nov 2026€7,000—
MuscatScheduled
16 – 20 Nov 2026€6,300—
OnlineScheduled
22 – 26 Nov 2026€2,700—
ParisScheduled
30 Nov – 4 Dec 2026€6,700€6,030until 9 Nov
RiyadhScheduled
7 – 11 Dec 2026€4,800€4,320until 16 Nov
RomeScheduled
14 – 18 Dec 2026€7,000€6,300until 23 Nov
ViennaScheduled
14 – 18 Dec 2026€6,400€5,760until 23 Nov
AbujaScheduled
21 – 25 Dec 2026€7,700€6,930until 30 Nov
AccraScheduled
28 Dec 2026 – 1 Jan 2027€7,700€6,930until 7 Dec
AmsterdamScheduled
4 – 8 Jan 2027€6,000€5,400until 14 Dec
BakuScheduled
11 – 15 Jan 2027€5,300€4,770until 21 Dec
BarcelonaScheduled
18 – 22 Jan 2027€6,000€5,400until 28 Dec
CairoScheduled
25 – 29 Jan 2027€3,800€3,420until 4 Jan
Cape TownScheduled
25 – 29 Jan 2027€7,700€6,930until 4 Jan
CasablancaScheduled
1 – 5 Feb 2027€4,700€4,230until 11 Jan
DammamScheduled
8 – 12 Feb 2027€4,800€4,320until 18 Jan
DohaScheduled
15 – 19 Feb 2027€4,700€4,230until 25 Jan
DubaiScheduled
21 – 25 Feb 2027€4,700€4,230until 1 Feb
IstanbulScheduled
1 – 5 Mar 2027€5,300€4,770until 8 Feb
JeddahScheduled
7 – 11 Mar 2027€4,800€4,320until 15 Feb
KigaliScheduled
15 – 19 Mar 2027€7,700€6,930until 22 Feb
Kuala LumpurScheduled
15 – 19 Mar 2027€4,700€4,230until 22 Feb
LisbonScheduled
22 – 26 Mar 2027€6,000€5,400until 1 Mar
LondonScheduled
29 Mar – 2 Apr 2027€5,800€5,220until 8 Mar
MadinahScheduled
5 – 9 Apr 2027€4,800€4,320until 15 Mar
MadridScheduled
12 – 16 Apr 2027€6,000€5,400until 22 Mar
MakkahScheduled
19 – 23 Apr 2027€4,800€4,320until 29 Mar
ManamaScheduled
26 – 30 Apr 2027€5,300€4,770until 5 Apr
MarbellaScheduled
3 – 7 May 2027€6,000€5,400until 12 Apr
LisbonScheduled
20 – 24 Sept 2027€6,000€5,400until 30 Aug

Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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