Statistika

Počev od osnove R-a i statističkog rezonovanja, u ovoj knjizi je detaljno razmatrana napredna prediktivna analitika i prikazan je način primene ovih tehnika na podatke u stvarnom svetu pomoću primera iz stvarnog sveta.

Knjiga SPSS: Analiza bez muke predstavlja praktičan tekst koji može da posluži kao uvod u IBM SPSS Statistics 20 i kao vodič za Windows korisnike koji žele da sprovode analitičke procedure.

No code. No complex math. Just fun with data, with results that can transform your business!

Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips

Master data management & analysis techniques with IBM SPSS Statistics 24

Over 80 recipes to help you breeze through your data analysis projects using R

Tap into the realm of social media and unleash the power of analytics for data-driven insights using R

Software Implementation Illustrated with R and Python

Create data mining algorithms

Postanite efikasan naučnik za podatke pomoću R-a

Illustrate your data in a more interactive way by implementing data visualization principles and creating visual stories using Tableau

Harness actionable insights from your data with computational statistics and simulations using R

Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques

Cook your favorite visualization recipe from a wide range of options using this easy-to-follow cookbook!

A practical guide to data mining using SQL and Excel

This book is for IT technical engineers who want to get familiar with the EIM solutions provided by SAP for ETL development and data quality management. The book requires familiarity with basic programming concepts and basic knowledge of the SQL language.

If you want to understand your data using data visualization and don't know where to start, then this is the book for you.

KNJIGA IZLAZI IZ ŠTAMPE U NOVEMBRU 2015.

OVU KNJIGU JOŠ NE MOŽETE DA KUPITE.

Ovaj priručnik baca pojas za spasavanje studentima i istraživačima koji koriste softver za analizu podataka, SPSS. Autorka vodi čitaoca kroz ceo istraživački proces i pomaže u izboru tehnike analize podataka prilagođene datom projektu. U knjizi se razmatraju elementarne i napredne statističke tehnike - od formulisanja istraživačkih pitanja, preko projektovanja studije i analize podataka, do sastavljanja izveštaja o istraživanju. Jasno je predočena svaka tehnika, objašnjavaju se postupci analize, dat je podroban vodič za tumačenje rezultata SPSS-a i primeri prikazivanja dobijenih rezultata u izveštaju.