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Intermediate Level5 Gün

Comprehensive Data Science with Python: Analytics, BI, and Modeling

Transform raw data into meaningful insights and strategic foresight. Learn end-to-end processes of data collection, exploratory data analysis (EDA), statistical modeling, and visualization using Python's powerful libraries.

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About This Course

Data Science is an interdisciplinary field focused on analyzing large amounts of data to support business decisions, analyze trends, and make predictions about the future in today's world. Python is one of the most preferred languages ​​in data science, offering effective solutions in critical stages such as data processing, visualization, and modeling thanks to its extensive library support and ease of use. This training aims to provide a comprehensive introduction to data science processes and offer a wide range of applications in Python, from data processing to machine learning.

Training Methodology

End-to-end lifecycle: Data collection, cleaning, analysis, modeling, and BI reporting.

Extensive Library Usage: Industry-standard tools like Pandas, NumPy, Scikit-learn, TensorFlow.

Interactive Workshops: Opportunity to develop "End-to-End" projects using real-world datasets.

Who Is This For?

Beginners in programming and those looking to enter data science.
Data analysts wanting to improve data interpretation.
Finance professionals and business analysts aiming to make data-driven decisions.
Software and AI engineers wanting to build data-centric applications.

Why This Course?

1

To learn data science in the fastest and most practical way thanks to Python's clear syntax.

2

To accelerate your career by meeting the growing corporate demand for data science experts.

3

To build a robust Decision Support System that improves operations and predicts customer behavior.

Learning Outcomes

Ability to collect data using databases, APIs, and web scraping techniques.
Competence in discovering hidden patterns using statistical methods and Exploratory Data Analysis (EDA).
Expertise in professional data visualization and reporting using Power BI, Tableau, and Python libraries.

Requirements

Basic computer literacy and analytical thinking skills.
No prior programming experience is required; Python basics will be practically covered during the training.

Course Curriculum

0 Lessons

Instructor

Şükrü Yusuf Kaya

Şükrü Yusuf Kaya

AI Consultant & Instructor

Şükrü Yusuf KAYA is an internationally experienced AI Consultant and Technology Strategist leading the integration of artificial intelligence technologies into the global business landscape. With operations spanning 6 different countries, he bridges the gap between the theoretical boundaries of technology and practical business needs, overseeing end-to-end AI projects in data-critical sectors such as banking, e-commerce, retail, and logistics. Deepening his technical expertise particularly in Generative AI and Large Language Models (LLMs), KAYA ensures that organizations build architectures that shape the future rather than relying on short-term solutions. His visionary approach to transforming complex algorithms and advanced systems into tangible business value aligned with corporate growth targets has positioned him as a sought-after solution partner in the industry. Distinguished by his role as an instructor alongside his consulting and project management career, Şükrü Yusuf KAYA is driven by the motto of "Making AI accessible and applicable for everyone." Through comprehensive training programs designed for a wide spectrum of professionals—from technical teams to C-level executives—he prioritizes increasing organizational AI literacy and establishing a sustainable culture of technological transformation.

Frequently Asked Questions

Applied Data Science with Python Training | EDA, BI & Machine Learning | Şükrü Yusuf KAYA