67,90 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio.You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics.
What You Will Learn
Become familiar with SAS Studio IDE
Understand essential visualizations
Know the fundamental statistical analysis required in most data science and analytics reports
Clean the most common data set problems
Use linear progression for data prediction
Write programs in SAS
Get introduced to SAS-Viya, which is more potent than SAS studio
Who This Book Is For
A general audience of people who are new to data science, students, and data analysts and scientists who are experiencedbut new to SAS. No programming or in-depth statistics knowledge is needed.
The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio.You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics.
What You Will Learn
Become familiar with SAS Studio IDE
Understand essential visualizations
Know the fundamental statistical analysis required in most data science and analytics reports
Clean the most common data set problems
Use linear progression for data prediction
Write programs in SAS
Get introduced to SAS-Viya, which is more potent than SAS studio
Who This Book Is For
A general audience of people who are new to data science, students, and data analysts and scientists who are experiencedbut new to SAS. No programming or in-depth statistics knowledge is needed.
Engy Fouda is an author, freelance engineer, and journalist. She also is a freelance instructor and teaches SAS, Docker Fundamentals, Docker for Enterprise Developers, Docker for Enterprise Operations, and Kubernetes. Engy holds two master's degrees, one in journalism from Harvard University, Extension School, and another in computer engineering from Cairo University, Egypt. She earned the Data Science Professional Graduate Certificate from Harvard University, Extension School. She volunteers as the Team Lead for Momken Group (Engineering for the Blind), Egypt Scholars Inc. The team designs and manufactures devices and develops Arabic applications for visually impaired people in the MENA region. Engy volunteers as a Member-at-Large and as newsletter editor of the IEEE Mid-Hudson section. And she published several books that made Amazon's best-selling charts for Arabic books.
Teaches you-via step-by-step, hands-on labs-how to import and export raw data files
Shows you how to manipulate and transform data and combine SAS data sets
Prepares you to create summary statistics and reports using SAS procedures
Part 1: Basics.- Chapter 1: Data Science in Action.- Chapter 2: Getting Started.- Chapter 3: Data Visualization.- Part 2: More Programming.- Chapter 4: Statistical Analysis and Linear Models.- Chapter 5: Advanced Data Preprocessing.- Chapter 6: Preparing Data for Analysis.- Part 3: Advanced Topics.- Chapter 7: Regression.- Chapter 8: SAS Visual Statistics - Viya.- Chapter 9: What Is Next?.- Appendix: Resources.-
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xvii
226 S. 206 s/w Illustr. 226 p. 206 illus. |
| ISBN-13: | 9781484262368 |
| ISBN-10: | 1484262360 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Fouda, Engy |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 14 mm |
| Von/Mit: | Engy Fouda |
| Erscheinungsdatum: | 02.10.2020 |
| Gewicht: | 0,467 kg |
Engy Fouda is an author, freelance engineer, and journalist. She also is a freelance instructor and teaches SAS, Docker Fundamentals, Docker for Enterprise Developers, Docker for Enterprise Operations, and Kubernetes. Engy holds two master's degrees, one in journalism from Harvard University, Extension School, and another in computer engineering from Cairo University, Egypt. She earned the Data Science Professional Graduate Certificate from Harvard University, Extension School. She volunteers as the Team Lead for Momken Group (Engineering for the Blind), Egypt Scholars Inc. The team designs and manufactures devices and develops Arabic applications for visually impaired people in the MENA region. Engy volunteers as a Member-at-Large and as newsletter editor of the IEEE Mid-Hudson section. And she published several books that made Amazon's best-selling charts for Arabic books.
Teaches you-via step-by-step, hands-on labs-how to import and export raw data files
Shows you how to manipulate and transform data and combine SAS data sets
Prepares you to create summary statistics and reports using SAS procedures
Part 1: Basics.- Chapter 1: Data Science in Action.- Chapter 2: Getting Started.- Chapter 3: Data Visualization.- Part 2: More Programming.- Chapter 4: Statistical Analysis and Linear Models.- Chapter 5: Advanced Data Preprocessing.- Chapter 6: Preparing Data for Analysis.- Part 3: Advanced Topics.- Chapter 7: Regression.- Chapter 8: SAS Visual Statistics - Viya.- Chapter 9: What Is Next?.- Appendix: Resources.-
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xvii
226 S. 206 s/w Illustr. 226 p. 206 illus. |
| ISBN-13: | 9781484262368 |
| ISBN-10: | 1484262360 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Fouda, Engy |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 14 mm |
| Von/Mit: | Engy Fouda |
| Erscheinungsdatum: | 02.10.2020 |
| Gewicht: | 0,467 kg |
Ähnliche Produkte
Lieferzeit 4-7 Werktage
Lieferzeit 4-7 Werktage
Aktuell nicht verfügbar
Aktuell nicht verfügbar
Aktuell nicht verfügbar
Lieferzeit 1-2 Wochen
Aktuell nicht verfügbar
Aktuell nicht verfügbar
Lieferzeit 1-2 Wochen