Topic:Python vs Excel
Answer:
For junior DA, SQL + Excel/Sheets is enough. Python (Pandas) gives an edge and +10% pay. Mate teaches both — Pandas as a bonus skill, not a base requirement.
Junior DA in Poland: SQL + Excel/Google Sheets advanced (pivot tables, VLOOKUP, scripts) — enough for a first job. Python (Pandas, NumPy, Matplotlib) becomes important for mid+ and gives an edge even as a junior: - +10% starting pay - Wider job pool (data science track, ML basics) - Path into Data Engineer (+30% pay) - Automation of repetitive analyses (real time saving at work). Mate academy teaches Python for DA (Pandas for EDA, Matplotlib for visualization, stats basics) — that gives you an edge over competitors using only Excel. R programming is niche in PL (mainly research/academia), not required. 2026 DA stack: SQL (must) + Python Pandas (great to have) + Tableau/Power BI (must) + statistics basics (must) (source: Mate academy data 2026).
What we teach

4+ months
Dig into data to uncover trends and hidden insights, and help businesses make smarter decisions.

4+ months
Hunts down software bugs before they cause trouble, ensuring every user enjoys a flawless and enjoyable experience.

4+ months
Writes powerful Python code to build apps and automate boring tasks, helping users do a lot more in less time.

5+ months
Builds the visible part of websites and apps, ensuring every click and scroll feels smooth and visually impressive.

4+ months
Creates rock-solid Java applications that deliver reliable, high-performance solutions across a variety of industries.

5+ months
Develops both the front and back end of web apps, creating a smooth and high-quality experience that users love.

3+ months
Create automated tests to quickly detect bugs and verify software quality.

3+ months
Analyzes the audience, launches advertising campaigns, and optimizes traffic to increase brand awareness and drive sales.
Our values
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