import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Load and analyze data
df = pd.read_csv('data.csv')
result = df.groupby('category').agg({'value': 'mean'})
plt.figure(figsize=(10, 6))
result.plot(kind='bar')
plt.show()
Python for Data Science
Master the world's most popular programming language for data analysis. From data manipulation with pandas to stunning visualizations, become a Python data wizard in just 8 weeks.
Why Python Dominates Data Science
Python's simplicity, powerful libraries, and active community make it the #1 choice for data professionals worldwide. Master the language that powers Netflix, Spotify, and Instagram's data insights.
Easy to Learn
Python's readable syntax makes it perfect for beginners. You'll be writing meaningful code from day one, not struggling with complex programming concepts.
Powerful Libraries
Pandas for data manipulation, NumPy for numerical computing, Matplotlib for visualization - Python's ecosystem has everything you need.
Industry Standard
Used by Google, Netflix, and NASA. Learning Python opens doors to opportunities at the world's most innovative companies.
Your 8-Week Learning Journey
Python Fundamentals
Variables, data types, control structures, functions, and object-oriented programming basics.
Data Manipulation
Master pandas for data cleaning, transformation, and analysis. Work with CSV files, databases, and APIs.
Data Visualization
Create stunning charts and graphs with Matplotlib and Seaborn. Tell compelling stories with data.
Advanced Analysis
Statistical analysis, web scraping, API integration, and building complete data analysis workflows.
df = pd.read_csv('sales.csv')
df.head()
| Product | Sales | Region |
| Laptop | 1250 | EU |
| Phone | 890 | US |
Comprehensive Python Curriculum
1 Python Programming Basics
Syntax and Data Types
Variables, strings, numbers, lists, dictionaries, and sets. Understanding Python's clean syntax.
Control Flow
If statements, for loops, while loops, and exception handling for robust code.
Functions and Modules
Creating reusable code with functions, importing libraries, and organizing code into modules.
2 Data Analysis Libraries
NumPy Fundamentals
Arrays, mathematical operations, broadcasting, and efficient numerical computing.
Pandas Mastery
DataFrames, data cleaning, filtering, grouping, merging, and advanced data manipulation.
File I/O Operations
Reading CSV, Excel, JSON files, database connections, and API data retrieval.
3 Data Visualization
Matplotlib Foundations
Creating line plots, bar charts, histograms, scatter plots, and customizing visualizations.
Seaborn for Statistics
Statistical plots, correlation matrices, distribution plots, and beautiful default styling.
Interactive Dashboards
Creating interactive visualizations and simple dashboards for data exploration.
4 Real-World Applications
Web Scraping
Extracting data from websites using BeautifulSoup and requests library.
API Integration
Working with REST APIs, authentication, and integrating external data sources.
Automation Scripts
Building automated data processing workflows and scheduled analysis tasks.
Build Your Portfolio with Real Projects
E-commerce Sales Analysis
Data Analysis Project
Analyze online retail data to identify trends, seasonal patterns, and customer behavior insights using pandas and matplotlib.
Weather Data Dashboard
API Integration Project
Build an automated system that fetches weather data from APIs and creates interactive visualizations for climate analysis.
Stock Market Analyzer
Financial Analysis Project
Create a comprehensive stock analysis tool that visualizes price movements, calculates returns, and identifies trends.
From Zero to Python Hero
Alexia Kouris
Marketing → Data Analyst
"Never coded before, but Python's simplicity made it approachable. Now I automate all my marketing reports and landed a data analyst role at a startup."
Yannis Georgiadis
Finance Professional
"Python transformed how I work with financial data. What used to take hours in Excel now takes minutes. I'm now the go-to person for data analysis in my team."
Christina Manolis
Freelance Data Consultant
"Started as a hobby, now I run my own data consulting business. Python opened up a whole new career path I never imagined possible."
Start Your Python Journey
Join hundreds of professionals who've transformed their careers with Python skills. No experience required - just curiosity and dedication.
Next cohort starts June 15th, 2025
Python Programming Excellence for Data Science Applications
Python has emerged as the dominant programming language for data science and analytics, powering everything from simple data analysis scripts to complex machine learning pipelines at major technology companies. Our comprehensive course provides both fundamental programming skills and specialized data science techniques.
The course curriculum emphasizes practical application through hands-on projects that mirror real-world scenarios. Students learn not just syntax and libraries, but also best practices for writing clean, maintainable code that scales effectively for professional data science work.
Professional development extends beyond technical skills to include project management, version control, and collaborative workflows commonly used in data science teams. This holistic approach ensures graduates can integrate seamlessly into existing development environments.
Career opportunities for Python-skilled professionals continue expanding across industries, from traditional finance and healthcare to emerging fields like biotechnology and renewable energy. The versatility and readability of Python make it an essential skill for any data-driven career path.