NumPy Python course
This course equips you with NumPy skills for real-world data tasks in Python. Learn to clean and load CSVs into robust arrays, perform rapid descriptive statistics, correlations, group analytics by device or country, and conduct A/B-style tests with permutation methods. Build reliable, fast analyses to deliver data-driven insights and features in your projects.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in practical data processing using NumPy in Python. Cover array creation, indexing, masking, broadcasting, descriptive statistics, correlations, group analysis, CSV loading and cleaning, handling missing values, and A/B testing with permutation tests. Develop efficient techniques for scalable, reproducible data analyses on large datasets.
Elevify advantages
Develop skills
- NumPy data loading: Quickly parse large, messy CSVs into clean numeric arrays.
- Array cleaning with masks: Identify, remove, or impute invalid and missing values.
- Descriptive stats in NumPy: Calculate KPIs, percentiles, and robust aggregations.
- Group analytics: Compute metrics per device, country, or version using vectorized NumPy.
- A/B-style testing: Perform correlations, effect sizes, and permutation tests with NumPy.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

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