ΠΕΡΙΓΡΑΦΗ

Python has rapidly become one of the most sought-after languages for data analysis. From data cleansing to advanced predictive modeling, Python offers a vast range of libraries and tools for all your data science needs. This course introduces participants to the process of analyzing data using Python, equipping them with practical skills to extract insights from real-world data sets.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

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

1. Understand the Python programming environment and its advantages in data analysis.
2. Cleanse, transform, and prepare raw data for analysis using Pandas.
3. Create a variety of visualizations to explore and present data using Matplotlib and Seaborn.
4. Implement statistical methods to analyze trends, patterns, and relationships in data.
5. Use Python-based tools for web scraping and data extraction.
6. Carry out predictive analytics using Python libraries such as scikit-learn.
7. Efficiently handle large data sets using Python’s in-memory processing capabilities.
8. Develop a data-driven decision-making mindset.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

1. Beginners interested in data analysis and data science but have limited or no experience in Python.
2. Professionals in fields like finance, marketing, and operations looking to add data analysis skills to their repertoire.
3. Researchers aiming to leverage Python for data analysis in their projects.
4. Current programmers and developers wishing to transition into the data science realm.
5. Anyone looking to make sense of data and draw actionable insights.

Prerequisites:

Prior knowledge of Python

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Course Benefits:

• Duration: 36 hours
• Online participation in all modules of first-class training
• Module recordings in your personal account (1-year access)
• Personal Certificate at the end of the course

Course Schedule

Starting 29th of April 2025 every Tuesday & Thursday, until 10th of June 2025.