The course is officially accredited by the Ministry of ESCS of the RA. This means that up to 100 000 AMD of the course fee can be refunded by the government as social expense compensation.
 
This course equips you with essential Data Analytics based on Python knowledge. Combining foundational Python knowledge with practical techniques, this course enables you to confidently work with large datasets, create insightful visualizations, and make data-driven decisions.

Over 5 months, you'll engage in real-world projects, hands-on exercises, and receive expert guidance, gaining practical experience in one of today’s fastest-growing fields. Whether you're beginning your programming journey or looking to enhance your data analysis expertise, this course is perfect for building a successful tech career.

KNOWLEDGE TO BE GAINED
Python Basics: Master Python fundamentals, covering syntax, data structures (lists, dictionaries, sets), control flow, loops, functions, and error handling.
Data Analysis with Python: Use Pandas and NumPy to handle and process large datasets, cleaning and transforming data for analysis.
Data Visualization: Create insightful visualizations with Matplotlib and Seaborn, using plots, charts, and graphs to present data effectively.
Real-world Projects: Apply your skills to industry projects involving data cleaning, analysis, visualization, and predictive modeling, building a portfolio to impress employers.

By the end of the course, you will:
-Master Python programming, including variables, data types, loops, functions, and object-oriented programming (OOP).
-Understand the essential concepts of data science and its applications in real-world scenarios.
-Learn how to clean, process, and manipulate large datasets using powerful Python libraries like Pandas and NumPy.
-Develop skills in data visualization, creating graphs using Matplotlib and Plotly.
-Apply your skills to real-world projects, working with real datasets to gain practical experience.

The Python for Data Analysis course is designed for:
Aspiring Data Scientists: Gain foundational knowledge and practical skills to kick-start a career in data science.
Business Analysts: Use Python to derive insights and improve decision-making.
Marketing Professionals: Master data analysis to understand customer behavior and optimize strategies.
Developers & Engineers: Enhance your capabilities to work with large datasets and integrate machine learning.
Students & Career Switchers: A great fit for those entering data science or transitioning to tech roles.

Participants’ pre-requisites:
No prior experience in programming is required. This course is suitable for beginners as well as professionals looking to enhance their skills.

TRAINING DETAILS
Training format: Hybrid
Training duration: 5 months / 100 hours / 5 hours per week
Training monthly fee: 69,000 AMD