This module offers a comprehensive exploration of data analysis using Python, equipping participants with the skills and tools essential for effective data-driven decision-making. Through a structured curriculum, participants will delve into the fundamentals of key Python libraries such as Numpy and Pandas, gaining proficiency in data manipulation and analysis.
The module places a strong emphasis on hands-on learning, employing Jupyter notebooks as the primary platform for interactive coding exercises. Participants will be guided through the practical application of theoretical concepts, ensuring a seamless transition from understanding to implementation.

    Students will acquire proficiency in utilizing the NumPy library, showcasing the ability to perform numerical operations, manipulate arrays, and conduct basic statistical analyses.
    Participants will demonstrate expertise in using Pandas for data manipulation, cleansing, and transformation, effectively working with Series and DataFrames.
    Students will develop skills in creating insightful visualizations using Matplotlib and Seaborn, effectively communicating trends, patterns, and insights from data.
    Participants will be proficient in the EDA process, showcasing the ability to explore datasets, identify patterns, outliers, and extract meaningful insights through statistical methods and visualizations.
    Students will apply data analysis skills to solve real-world problems, demonstrating the ability to analyze practical datasets and draw actionable conclusions.

    NumPy Essentials: Understanding and mastering numerical operations for efficient data handling.
    Pandas Fundamentals: Exploring the power of Pandas for data manipulation, cleaning, and transformation.
    Data Visualization: Leveraging visualization tools to communicate insights effectively. Introduction to Matplotlib and Seaborn for creating compelling visual representations.
    Exploratory Data Analysis (EDA): Learning the art of exploring datasets, identifying patterns, and extracting meaningful insights. Practical application of statistical methods for analysis.

Target groups:

The target group(s) for a Data Analysis with Python course typically includes individuals with varying levels of expertise and professional backgrounds who seek to enhance their skills in data analysis using the Python programming language. The course is designed for: Students, Beginners in Data Analysis, Data Enthusiasts, Programmers and Developers, Business and Data Professionals, Entrepreneurs and Start-up Professionals

المتطلبات: أن يكون المشترك متمكن من لغة البايثون

عدد ساعات الدورة: 24 ساعة تدريبية

رسوم الدورة: 300 دولار

** تحدد مواعيد الدورة خلال اللقاء الأولي 

المدرب : د.عماد نتشة