Learn Business Analytics in Six Steps Using SAS and R : A Practical, Step-by-Step Guide to Learning Business Analytics /

QR Code

Learn Business Analytics in Six Steps Using SAS and R : A Practical, Step-by-Step Guide to Learning Business Analytics /

Bibliographic Details
Main Author:	Tripathi, Subhashini Sharma. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Berkeley, CA : Apress : Imprint: Apress, 2016.
Edition:	1st ed. 2016.
Subjects:	Big data. Computer software. Mathematical statistics. Database management. Data mining. Big Data. Mathematical Software. Probability and Statistics in Computer Science. Database Management. Data Mining and Knowledge Discovery.

Similar Items

Text Analytics with Python : A Practical Real-World Approach to Gaining Actionable Insights from your Data /
by: Sarkar, Dipanjan.
Published: (2016)

The Data Science Design Manual /
by: Skiena, Steven S.
Published: (2017)

Pro SQL Server 2008 Analysis Services
by: Janus, Philo., et al.
Published: (2009)

Beginning SQL Server R Services : Analytics for Data Scientists /
by: Beard, Bradley.
Published: (2016)

Pro Spark Streaming : The Zen of Real-Time Analytics Using Apache Spark /
by: Nabi, Zubair.
Published: (2016)

Data Analytics and Decision Support for Cybersecurity : Trends, Methodologies and Applications /
Published: (2017)

Foundations of SQL Server 2008 R2 Business Intelligence /
by: Fouche, Guy., et al.
Published: (2011)

Pro SQL Server 2012 BI Solutions /
by: Root, Randal., et al.
Published: (2012)

Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence : Second China Conference, CCKS 2017, Chengdu, China, August 26-29, 2017, Revised Selected Papers /
Published: (2017)

Practical Hadoop Ecosystem : A Definitive Guide to Hadoop-Related Frameworks and Tools /
by: Vohra, Deepak.
Published: (2016)

Practical Business Analytics Using SAS A Hands-on Guide /
by: Kadre, Shailendra., et al.
Published: (2015)

Big Data SMACK : A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /
by: Estrada, Raul., et al.
Published: (2016)

Scalable Big Data Architecture : A practitioners guide to choosing relevant Big Data architecture /
by: Azarmi, Bahaaldine.
Published: (2016)

Towards Advanced Data Analysis by Combining Soft Computing and Statistics /
Published: (2013)

Pro Power BI Desktop /
by: Aspin, Adam.
Published: (2016)

Recent Progress in Data Engineering and Internet Technology : Volume 1 /
Published: (2013)

Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications /
by: Igual, Laura., et al.
Published: (2017)

Outlier Analysis /
by: Aggarwal, Charu C.
Published: (2017)

Data Science Using Oracle Data Miner and Oracle R Enterprise : Transform Your Business Systems into an Analytical Powerhouse /
by: Das, Sibanjan.
Published: (2016)

Management of Information, Process and Cooperation : Third International Workshop, MiPAC 2016, Hangzhou, China, September 23, 2016, Revised Selected Papers /
Published: (2017)

Enterprise Information Management in Practice : Managing Data and Leveraging Profits in Today's Complex Business Environment /
by: Chaki, Saumya.
Published: (2015)

SQL on Big Data : Technology, Architecture, and Innovation /
by: Pal, Sumit.
Published: (2016)

Database and Expert Systems Applications : 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I /
Published: (2017)

Database and Expert Systems Applications : 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part II /
Published: (2017)

Fuzzy Logic and Soft Computing Applications : 11th International Workshop, WILF 2016, Naples, Italy, December 19-21, 2016, Revised Selected Papers /
Published: (2017)

Group Processes Data-Driven Computational Approaches /
Published: (2017)

Practical Hive : A Guide to Hadoop's Data Warehouse System /
by: Shaw, Scott., et al.
Published: (2016)

Data Management and Analytics for Medicine and Healthcare : Third International Workshop, DMAH 2017, Held at VLDB 2017, Munich, Germany, September 1, 2017, Proceedings /
Published: (2017)

New Trends in Databases and Information Systems : ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24-27, 2017, Proceedings /
Published: (2017)

Discrimination and Privacy in the Information Society : Data Mining and Profiling in Large Databases /
Published: (2013)

Information Systems 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, Coimbra, Portugal, September 7-8, 2017, Proceedings /
Published: (2017)

Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering : 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures /
Published: (2017)

Simultaneous Statistical Inference : With Applications in the Life Sciences /
by: Dickhaus, Thorsten.
Published: (2014)

Encyclopedia of Machine Learning and Data Mining /
Published: (2017)

Rapid Graphs with Tableau 8 : The Original Guide for the Accidental Analyst /
by: McDaniel, Stephen., et al.
Published: (2013)

Redescription Mining /
by: Galbrun, Esther., et al.
Published: (2017)

Fetal, Infant and Ophthalmic Medical Image Analysis : International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings /
Published: (2017)

Performance Evaluation and Benchmarking. Traditional - Big Data - Internet of Things 8th TPC Technology Conference, TPCTC 2016, New Delhi, India, September 5-9, 2016, Revised Selected Papers /
Published: (2017)

On the Move to Meaningful Internet Systems. OTM 2017 Conferences Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part II /
Published: (2017)

Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications /
by: Raza, Muhammad Summair., et al.
Published: (2017)