
191
00DH
382.00 DH
-50%
Think Stats: Exploratory Data Analysis
Livraison
DétailsFrais de livraison à partir de :
Livraison entre le Mercredi 9 septembre 2026 et le Jeudi 10 septembre 2026
À propos de cet article :
Marque : GENERIC
Vendu par HEAVENBOOKS.MA
If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis—...
Partagez ce produit
1
Mode de paiement
Paiement par carte bancaire
Carte marocainesPaiement à la livraison
Paiement en espèce à la livraison
Politique de retours
Note de politique de retour
Description produit
- Marque
- GENERIC
- Titre
- Think Stats: Exploratory Data Analysis
- Éditeur
- O'Reilly Media
- Type de produit
- paperback
- Présentation du livre
- paperback
- Date de sortie
- 5/13/2025 12:00:00 AM
- Langue d'origine
- English
- ISBN
- 1098190254
- Nombre de pages
- 321 pages
- Langue
- English
- Résumé
- If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis—from wrangling data and generating statistics to identifying patterns and testing hypotheses.Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place.Analyze data distributions and visualize patterns using Python librariesImprove predictions and insights with regression modelsDive into specialized topics like time series analysis and survival analysisIntegrate statistical techniques and tools for validation, inference, and moreCommunicate findings with effective data visualizationTroubleshoot common data analysis challengesBoost reproducibility and collaboration in data analysis projects with interactive notebooks Read more
- Auteur
- Allen B. Downey
- Date de parution
- 5/13/2025 12:00:00 AM









