Andres Fortino

Data Analysis for Business Decisions (eBook, ePUB)

A Laboratory Manual
Redaktion: Information, Mercury Learning and

• Format: ePub

Produktbeschreibung

This manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets.
The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization.
These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 180
• Erscheinungstermin: 29. Juli 2024
• Englisch
• ISBN-13: 9781836647942
• Artikelnr.: 71341740

Autorenporträt

Fortino Andres : Andres Fortino, PhD holds an appointment as a clinical associate professor of management and systems at the NYU School of Professional Studies, where he teaches courses in business analytics, data mining, and data visualization. He also leads his own consulting company, Fortino Global Education. Dr. Fortino has published ten books and over 40 academic papers, and has received IBM's First Invention Level Award for his work in semiconductor research. He holds three US patents and ten invention disclosures.

Inhaltsangabe

1: Shaping and Cleaning Data
2: Installing the Analysis ToolPak
3: Descriptive Statistics
4: Histograms.
5: Pareto Analysis
6: Scatter Plots
7: Correlation and Linear Regression
8: Multivariate Regression
9: Forecasting and Time Series
10: Inferential Statistics
11: Contingency Analysis
12: A/B Testing
13: Text Analytics
14: Analyzing Big Data Sets
15: Data Visualization
16. Summary of Analysis
Techniques.
Index.