Python Essentials for Data Science: 1 Day Session in Kraków
Schedule
Wed, 17 Dec, 2025 at 09:00 am to Mon, 22 Jun, 2026 at 05:00 pm
UTC+05:30Location
For more information on venue address, reach out to "[email protected]" | Krakow, MA
About this Event
Bring your team and save
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview:
The Python for Data Science course provides the essential skills to analyze, visualize, and interpret data using Python. You’ll learn to use popular libraries like Pandas, NumPy, Matplotlib, and Seaborn to explore datasets and uncover insights. Designed for aspiring data scientists and analysts, this course bridges core programming with data-driven decision-making — empowering you to start your journey in the world of data science.
Learning Objectives:
By the end of this course, you will:
- Use Python libraries to load, explore, and manipulate data
- Apply data cleaning techniques to prepare data for analysis
- Create visualizations to convey patterns and insights
- Understand the basics of machine learning workflows
- Perform data-driven decision-making with confidence
- Start your journey toward becoming a skilled data analyst or scientist
Target Audience:
Aspiring data scientists, analysts, developers, and students.
Why is it the Right Fit for You?
This course is designed for anyone ready to explore the world of data science using Python, regardless of prior experience. With expert guidance and real-world datasets, you’ll learn to make sense of data and present your findings visually. Our hands-on approach ensures you don’t just learn theory, but also apply it through practical exercises. Plus, Python is the most popular language in data science — learning it unlocks opportunities in AI, analytics, automation, and more.
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Want to build a data-driven culture within your team?
We offer customizable in-house Python for Data Science training tailored to your organization's goals and data challenges. Looking to upskill your workforce in data handling and analysis? Let us design a program that fits your needs.
📧 Contact us today to schedule a customized in-house session: [email protected]
Agenda
Module 1: Introduction to Python for Data Science
Info: • Why Python is essential for data science
• Setting up Jupyter Notebook or VS Code
• Overview of data science workflow
• Activity
Module 2: Working with Data using Pandas
Info: • Introduction to DataFrames and Series
• Reading and writing CSV, Excel files
• Data exploration and basic stats
• Activity
Module 3: Numerical Computing with NumPy
Info: • Understanding arrays and vectorized operations
• Array creation, indexing, reshaping
• Using NumPy for basic calculations
• Case Study
Module 4: Data Cleaning Essentials
Info: • Handling missing data and duplicates
• Data type conversions and string operations
• Filtering, sorting, and transforming data
• Activity
Module 5: Data Visualization with Matplotlib
Info: • Plotting line, bar, scatter, histogram charts
• Customizing styles and labels
• Creating multiple plots in a figure
• Activity
Module 6: Advanced Visualization with Seaborn
Info: • Heatmaps, pair plots, categorical plots
• Using themes and palettes
• Visualizing data distributions
• Activity
Module 7: Introduction to Machine Learning Concepts
Info: • What is machine learning?
• Basics of supervised vs unsupervised learning
• Using scikit-learn for simple models
• Case Study
Module 8: Mini Data Project
Info: • Choose a dataset and perform analysis
• Clean, analyze, visualize, and present findings
• Share insights and interpretations
• Activity
Where is it happening?
For more information on venue address, reach out to "[email protected]", Ph No: +1 469 666 9332, Krakow, PolandEvent Location & Nearby Stays:
PLN 2604.86 to PLN 3460.38
