Python for Data Analysis and Automation

Course Overview

This practical training program equips participants with the Python skills required to analyze data, automate repetitive tasks, and improve professional productivity. Participants will learn how to work with datasets, clean and transform information, create meaningful visualizations, and develop automated workflows using Python and its essential libraries.

What You Will Learn

By the end of the program, participants will be able to:

Understand Python fundamentals and development environments.
Write clear and structured Python scripts.
Import and manage data from multiple file formats.
Clean, transform, and organize datasets using Pandas.
Perform exploratory and statistical data analysis.
Create professional charts and data visualizations.
Automate repetitive file and reporting tasks.
Handle errors and improve script reliability.
Generate automated analytical reports.
Complete a practical data analysis and automation project.

Who Should Attend

Aspiring data analysts and business intelligence professionals.
Excel, SQL, and Power BI users seeking Python skills.
Business analysts and reporting specialists.
Finance, marketing, sales, HR, and operations professionals.
Professionals seeking to automate repetitive tasks.
University students and recent graduates pursuing data-related careers.
Beginners with little or no previous programming experience.

Course Curriculum

Module 1: Python Fundamentals for Data Professionals

Set up Python, Jupyter Notebook, and the development environment.
Work with variables, data types, operators, and expressions.
Use conditions, loops, functions, and reusable code structures.
Manage lists, tuples, dictionaries, sets, and strings.

Module 2: Data Collection and Preparation

Import data from CSV, Excel, JSON, and other common formats.
Explore and organize datasets using Pandas DataFrames.
Identify and handle missing values, duplicates, and errors.
Filter, sort, merge, reshape, and transform data.

Module 3: Data Analysis and Visualization

Calculate descriptive statistics and business metrics.
Group and aggregate data to identify patterns and trends.
Create charts using Matplotlib and Seaborn.
Communicate analytical findings through effective data storytelling.

Module 4: Business Process Automation with Python

Automate file creation, renaming, moving, and organization.
Read, update, and generate Excel reports automatically.
Process multiple datasets using reusable automation scripts.
Schedule recurring tasks and build reliable workflows.

Module 5: Advanced Applications and Practical Project

Connect Python to APIs and external data sources.
Apply exception handling, validation, and logging.
Generate automated reports and export analytical results.
Complete an end-to-end data analysis and automation project.

Ready to Take the Next Step?

Submit your request today, and our team will contact you with the available schedule and delivery options.

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Course Details

Course Fee

199$ per participant

Course Duration

5 days — 25 training hours

Delivery Method

Live Online Training, In-Person Training

Training Language

English and Arabic are Available

Course Level

All Levels