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Python Data Analysis Training

Thanks to its wide range of modules, extensive support, and ease of integration with web services, Python has become one of the most popular tools in the field of Data Science.

Duration
6h
Ask about the program → See all
Who it's for

Ideal for teams that…

1 Python developers who want to expand their skills in Data Science.
2 Professionals advancing toward machine learning and artificial intelligence.
3 Data analysts who need tools to implement and automate their own analyses and algorithms.
Outcomes after the program

Solid backend and architecture — patterns proven in production.

✓

How to carry out a complete process: from data loading, through transformations, to sharing results.

✓

A deep understanding of multidimensional arrays in NumPy.

✓

How to work with tabular data using the Pandas library.

✓

How to load and integrate data from various sources and automate analysis workflows.

✓

How to leverage this knowledge as a foundation for machine learning projects.

Program · 4 modules

What we actually do

M01
Module 1: Computational and Algorithmic Tools – NumPy and SciPy
  • · Working with numerical data
  • · Characteristics of NumPy multidimensional arrays
  • · Using libraries for scientific and engineering computations
M02
Module 2: Integration with Data Sources
  • · Working with relational databases (MySQL, PostgreSQL)
  • · Working with Excel spreadsheets
M03
Module 3: Fundamentals of Working with Tabular Data – Pandas Library
  • · Loading data from different sources
  • · Structure of the Pandas DataFrame object
  • · Built-in methods for performing common analyses
  • · Data operations and automation
  • · Data visualization with Matplotlib and Seaborn
  • · Exporting results and using reporting tools
M04
Module 4: Next Steps Toward Machine Learning
  • · Data cleaning and transformation processes
  • · Demonstration of how this knowledge applies to Scikit-learn and TensorFlow/Keras
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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