Business Analytics and Data Science
Meet your Instructor
• Author "R for Business Analytics"
• Founder "Decisionstats.com"
• University of Tennessee, Knoxvill...
How it works?
• 6 weeks duration
• 2 hour live online sessions every Saturday and Sunday
• Total 8 hours per week = 4 hour...
Course Topics
• Week 1
- Introduction to Business Analytics
- Introduction to Data Science
- Introduction to R
- Data Impo...
Learning Objectives
By the end of this chapter,
• Know more on business analytics , data science and R
• Know more on the ...
Learning Objectives
By the end of this chapter,
• Know more on the R language, community and ecosystem
• Understand how 'R...
Business Analytics
• Definition
“Study of business data using statistical techniques and programming for creating decision...
Business Analytics
• Definition
“Study of business data using statistical techniques and programming for creating decision...
Business Intelligence
What Is Data Science?
Conway's Diagram
https://s3.amazonaws.com/aws.drewconway.com/viz/venn_diagram/data_science.html
Studying Data Science?
• Coursera Courses ( 26 Courses at
https://www.coursera.org/courses?orderby=upcoming&cats=stats
o C...
Course Design
• Business Analytics - Understanding what
solution business needs
• Data Science
•- Primarily R programming ...
Course Design
• What you will learn?
• Data Visualization
• Data Mining Techniques
• Clustering
• Association Analysis
• M...
Course Design
• What you may learn a bit?
• Infographics
• Business Strategy Models
• Data Mining Techniques
• SVM and Dec...
Course Design
• What you may NOT learn?
Course Methodology
Part 1: What Is Business Analytics?
• What are the problems in a business ?
• What are the tools that can be used?
• How a...
Part 1: What Is Business Analytics?
• What is Business Analytics
• What problems does it solve?
• History of Business Anal...
Part 1: What Is Business Analytics?
• Part 1
- What is R?
• Part 2
- Corporate usage for R
• Part 3
- Comparing R
• Part 4
- Installation of R and Packages
• ...
Part 1: What Is R?
www.r-project.org/
Part 1: What Is R?
www.r-project.org/about.html
History Open Source Official Website R Journal
Evolution Free R Core
Curre...
Part 2: Corporate Usage of R?
Part 2: Corporate Usage of R?
Part 2: Corporate Usage of R?
Did you know Oracle creates a version of R?
http://www.oracle.com/technetwork/topics/bigdata...
Part 2: Corporate Usage of R?
Did you know SAP uses R for analyzing it’s HANA database?
http://help.sap.com/hana/hana_dev_...
Part 2: Corporate Usage of R?
Did you know SAS Institute views R as an Opportunity?
http://support.sas.com/rnd/app/studio/...
Part 2: Corporate Usage of R?
Did you know SAS Institute views R as an Opportunity?
http://support.sas.com/rnd/app/studio/...
Part 2: Corporate Usage of R?
Did you know SAS Institute views R as an Opportunity?
http://www.jmp.com/support/help/Workin...
Part 2: Corporate Usage of R?
Did you know Teradata uses R for in-database analytics?
http://developer.teradata.com/applic...
Part 2: Corporate Usage of R?
Did you know IBM uses and even teaches R for High-end Analytics?
http://www-304.ibm.com/jct0...
Part 2: Corporate Usage of R?
• Telecom
• Pharmaceuticals
• Financial Services
• Life sciences, etc
Corporate Clients of R
http://www.revolutionanalytics.com/aboutus/our-customers.php
Part 2: Corporate Usage of R?
Part 3: Comparing R
but
R is open source and free R has a steep learning curve
Part 3: Comparing R
R has lots of packages
R can be customized
...
Comparing R and Base SAS* /SAS Stat*
R is open source and free Base SAS* , SAS/Stat*, SAS/ET*,
SAS/OR*, SAS/Graph* are exp...
Comparing R and others
http://r4stats.com/articles/popularity/
Part 3: Comparing R
http://cran.r-project.org/
http://cran.r-project.org/bin/windows/Rtools/
Part 4: Installation of R and Packages
Part 4: Installation of R and Packages
http://cran.r-project.org/
Part 4: Installation of R and Packages
http://cran.r-project.org/
http://cran.r-project.org/bin/windows/Rtools/
Part 4: Installation of R and Packages
http://cran.r-project.org/
http://cran.r-project.org/bin/windows/Rtools/
R and R Packages
Part 4: Installation of R and Packages
Part 4: Installation of R and Packages
R and R Packages
Part 4: Installation of R and Packages
R and R Packages
Part 4: Installation of R and Packages
R and R Packages
Part 4: Installation of R and Packages
R and R Packages
Part 5: Basics Of R - Command Line
Basics of R - Command Line
Part 5: Basics Of R - Command Line
Basics of R - Command Line
Basics of R - Command Line
Part 5: Basics Of R - Command Line
Part 6: RStudio IDE and GUI
Installation of RStudio
Installation of RStudio
Part 6: RStudio IDE and GUI
RCommander - Graphical User Interface (GUI)
http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/
Part 6: RStudio IDE and GUI
Part 6: RStudio IDE and GUI
RCommander - Graphical User Interface (GUI)
RcmdrPlugin.IPSUR An IPSUR Plugin for the R Comman...
Part 6: RStudio IDE and GUI
RCommander - Graphical User Interface (GUI)
RcmdrPlugin.seeg Rcmdr Plugin for seeg
RcmdrPlugin...
RcmdrPlugin.BCA Rcmdr Plug-In for Business and Customer Analytics
RcmdrPlugin.coin Rcmdr Coin Plug-In
RcmdrPlugin.depthToo...
Deducer - GUI for Data Visualization
http://deducer.org/
Part 6: RStudio IDE and GUI
Part 6: RStudio IDE and GUI
Deducer - GUI for Data Visualization
http://www.deducer.org/pmwiki/index.php?n=Main.Developmen...
Rattle - GUI for Data Mining
http://rattle.togaware.com/
Part 6: RStudio IDE and GUI
Part 7: Help And Documentation In R
Use ? or ??
Part 7: Help And Documentation In R
Use ? or ??
Part 7: Help And Documentation In R
Use ? or ??
http://stat.ethz.ch/R-manual/R-patched/library/stats/html/lm.html
Part 7: Help And Documentation In R
Task Views
http://cran.r-project.org/web/views/
ML Task View
Part 7: Help And Documentation In R
R Community on Twitter #rstats
Part 8: Interacting With Community In R
Part 8: Interacting With Community In R
R Community on Email
http://www.r-project.org/mail.html
Part 8: Interacting With Community In R
R Community on Stack Overflow [r]
Part 8: Interacting With Community In R
R Community on Cross Validated [r]
Part 8: Interacting With Community In R
R Community On Blogs
http://www.r-bloggers.com/
Github - Social Coding
Part 8: Interacting With Community In R
Part 8: Interacting With Community In R
Github - Social Coding
Thank You
See You in Class Next Week
Learn Business Analytics with R at edureka!
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Learn Business Analytics with R at edureka!

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This is a 6-week course for professionals who aspire to learn 'R' language for Analytics. Practical approach of learning has been followed in order to provide a real time experience and make you think like an analyst. Our course will cover not only the basic concepts but also the advanced concepts like Data Visualization, Data Mining, Model Building in R, Web Analytics and so on.

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Learn Business Analytics with R at edureka!

  1. 1. Business Analytics and Data Science
  2. 2. Meet your Instructor • Author "R for Business Analytics" • Founder "Decisionstats.com" • University of Tennessee, Knoxville MS (courses in statistics and computer science) • MBA (IIM Lucknow,India-2003) • B.Engineering (DCE 2001) http://linkedin.com/in/ajayohri
  3. 3. How it works? • 6 weeks duration • 2 hour live online sessions every Saturday and Sunday • Total 8 hours per week = 4 hours (in class) + 4 hours (assignments and case studies) • Project Work (~15 hours) • 2 hour proctored Final Online Exam* • All classes are recorded and recordings will be shared even in downloadable format • All course material (ppt,pdfs,assignments,etc) will be shared as soft copy • Life time access to the Learning Management System (LMS)** *problem based exam **24 X 7 Online Support
  4. 4. Course Topics • Week 1 - Introduction to Business Analytics - Introduction to Data Science - Introduction to R - Data Import in R - Introduction to Business Analytics - • Week 2 - Data Quality in R - Data Manipulation in R • Week 3 - Exploratory Data Analysis in R - Data Visualization in R • Week 4 - Data Mining in R (P1) - Data Mining in R (P2) • Week 5 - Understanding Model Building in R (P1) - Understanding Model Building in R (P2) • Week 6 - Advanced Topics in R - Revision and Final Exam
  5. 5. Learning Objectives By the end of this chapter, • Know more on business analytics , data science and R • Know more on the R language, community and ecosystem • Understand how 'R' is being used in the industry • Compare R with other software in analytics • Install R and packages which are going to be used for the course • Do basic operations in R using command line • Learn how to use the IDE R Studio and Various GUI • Use the R help • Be introduced to how the worldwide R community collaborates Introduction
  6. 6. Learning Objectives By the end of this chapter, • Know more on the R language, community and ecosystem • Understand how 'R' is being used in the industry • Compare R with other software in analytics • Install R and packages which are going to be used for the course • Do basic operations in R using command line • Learn how to use the IDE R Studio and Various GUI • Use the R help • Be introduced to how the worldwide R community collaborates Introduction To R
  7. 7. Business Analytics • Definition “Study of business data using statistical techniques and programming for creating decision support and insights for achieving business goals” • Various Types • Who uses it? How? • Across Domain - Dashboards - Models • Across A Company • Who creates it? How? • Skills Needed • Business Perception
  8. 8. Business Analytics • Definition “Study of business data using statistical techniques and programming for creating decision support and insights for achieving business goals” • Various Types • Who uses it? How? • Across Domain - Dashboards - Models • Across A Company • Who creates it? How? • Skills Needed • Business Perception
  9. 9. Business Intelligence
  10. 10. What Is Data Science? Conway's Diagram https://s3.amazonaws.com/aws.drewconway.com/viz/venn_diagram/data_science.html
  11. 11. Studying Data Science? • Coursera Courses ( 26 Courses at https://www.coursera.org/courses?orderby=upcoming&cats=stats o Computational Methods for Data Analysis https://www.coursera.org/course/compmethods o Computing for Data Analysis https://www.coursera.org/course/compdata o Introduction to Data Science https://www.coursera.org/course/datasci o Machine Learning https://www.coursera.org/course/ml
  12. 12. Course Design • Business Analytics - Understanding what solution business needs • Data Science •- Primarily R programming skills •- Some Applied Statistical Methods • - Exposure to new domains and techniques
  13. 13. Course Design • What you will learn? • Data Visualization • Data Mining Techniques • Clustering • Association Analysis • Modeling ( including Regression) • What is Demand Forecasting • Data Manipulation
  14. 14. Course Design • What you may learn a bit? • Infographics • Business Strategy Models • Data Mining Techniques • SVM and Decision Trees • Neutral Nets and Ensemble Models • Web Analytics and Social Media Analytics • Social Network Analysis (SNA)
  15. 15. Course Design • What you may NOT learn?
  16. 16. Course Methodology
  17. 17. Part 1: What Is Business Analytics? • What are the problems in a business ? • What are the tools that can be used? • How are businesses solving these problems? • What problems can be solved by MS Excel? • What can’t be solved by MS Excel?
  18. 18. Part 1: What Is Business Analytics? • What is Business Analytics • What problems does it solve? • History of Business Analytics. • What are the different kinds of Business Analytics? • What is R? What is SAS? • How are they different?
  19. 19. Part 1: What Is Business Analytics?
  20. 20. • Part 1 - What is R? • Part 2 - Corporate usage for R • Part 3 - Comparing R • Part 4 - Installation of R and Packages • Part 5 - Basics of R - Command Line • Part 6 - RStudio IDE and GUI • Part 7 - Help and Documentation in R • Part 8 - Interacting with community in R Topics: Introduction To R
  21. 21. Part 1: What Is R? www.r-project.org/
  22. 22. Part 1: What Is R? www.r-project.org/about.html History Open Source Official Website R Journal Evolution Free R Core Current State Widely Recognized Creators
  23. 23. Part 2: Corporate Usage of R?
  24. 24. Part 2: Corporate Usage of R?
  25. 25. Part 2: Corporate Usage of R? Did you know Oracle creates a version of R? http://www.oracle.com/technetwork/topics/bigdata/r-offerings-1566363.html
  26. 26. Part 2: Corporate Usage of R? Did you know SAP uses R for analyzing it’s HANA database? http://help.sap.com/hana/hana_dev_r_emb_en.pdf
  27. 27. Part 2: Corporate Usage of R? Did you know SAS Institute views R as an Opportunity? http://support.sas.com/rnd/app/studio/Rinterface2.html
  28. 28. Part 2: Corporate Usage of R? Did you know SAS Institute views R as an Opportunity? http://support.sas.com/rnd/app/studio/Rinterface2.html
  29. 29. Part 2: Corporate Usage of R? Did you know SAS Institute views R as an Opportunity? http://www.jmp.com/support/help/Working_with_R.shtml
  30. 30. Part 2: Corporate Usage of R? Did you know Teradata uses R for in-database analytics? http://developer.teradata.com/applications/articles/in-database-analytics-with-teradata-r http://downloads.teradata.com/download/applications/teradata-r
  31. 31. Part 2: Corporate Usage of R? Did you know IBM uses and even teaches R for High-end Analytics? http://www-304.ibm.com/jct03001c/services/learning/ites.wss/us/en?pageType=course_description&courseCode=DW540
  32. 32. Part 2: Corporate Usage of R? • Telecom • Pharmaceuticals • Financial Services • Life sciences, etc
  33. 33. Corporate Clients of R http://www.revolutionanalytics.com/aboutus/our-customers.php Part 2: Corporate Usage of R?
  34. 34. Part 3: Comparing R
  35. 35. but R is open source and free R has a steep learning curve Part 3: Comparing R R has lots of packages R can be customized R has the most advanced graphics R has GUI to help make learning easier R can connect to many database and data types multiple packages and ways to do the same thing by default stores memory in RAM you need much better programming skills customization needs command line you need to know which package to use
  36. 36. Comparing R and Base SAS* /SAS Stat* R is open source and free Base SAS* , SAS/Stat*, SAS/ET*, SAS/OR*, SAS/Graph* are expensive relatively because of annual licenses Part 3: Comparing R Open source R has support from email lists, twitter, stack overflow R is slower on the desktop than base SAS for datasets ~4-5 gb R has much much better graphics You can create custom functions in R easily R has multiple GUI that are free *Copyright © 2012 SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513, USA. All rights reserved. SAS Institute* products have dedicated support and extensive documentation by default R stores memory in RAM,so we can use the cloud you need much better programming skills Customization needs command line SAS GUI are more expensive but
  37. 37. Comparing R and others http://r4stats.com/articles/popularity/ Part 3: Comparing R
  38. 38. http://cran.r-project.org/ http://cran.r-project.org/bin/windows/Rtools/ Part 4: Installation of R and Packages
  39. 39. Part 4: Installation of R and Packages http://cran.r-project.org/
  40. 40. Part 4: Installation of R and Packages http://cran.r-project.org/ http://cran.r-project.org/bin/windows/Rtools/
  41. 41. Part 4: Installation of R and Packages http://cran.r-project.org/ http://cran.r-project.org/bin/windows/Rtools/
  42. 42. R and R Packages Part 4: Installation of R and Packages
  43. 43. Part 4: Installation of R and Packages R and R Packages
  44. 44. Part 4: Installation of R and Packages R and R Packages
  45. 45. Part 4: Installation of R and Packages R and R Packages
  46. 46. Part 4: Installation of R and Packages R and R Packages
  47. 47. Part 5: Basics Of R - Command Line Basics of R - Command Line
  48. 48. Part 5: Basics Of R - Command Line Basics of R - Command Line
  49. 49. Basics of R - Command Line Part 5: Basics Of R - Command Line
  50. 50. Part 6: RStudio IDE and GUI Installation of RStudio
  51. 51. Installation of RStudio Part 6: RStudio IDE and GUI
  52. 52. RCommander - Graphical User Interface (GUI) http://socserv.mcmaster.ca/jfox/Misc/Rcmdr/ Part 6: RStudio IDE and GUI
  53. 53. Part 6: RStudio IDE and GUI RCommander - Graphical User Interface (GUI) RcmdrPlugin.IPSUR An IPSUR Plugin for the R Commander RcmdrPlugin.KMggplot2 Rcmdr Plug-In for Kaplan-Meier Plots and Other Plots Using the ggplot2 Package RcmdrPlugin.mosaic Adds menu items to produce mosaic plots and assoc plots to Rcmdr RcmdrPlugin.MPAStats R Commander Plug-in for MPA Statistics RcmdrPlugin.orloca orloca Rcmdr Plug-in RcmdrPlugin.plotByGroup Rcmdr plots by group using lattice RcmdrPlugin.qcc Rcmdr qcc Plug-In RcmdrPlugin.qual Rcmdr plugin for quality control course RcmdrPlugin.SCDA Rcmdr plugin for designing and analyzing single-case experiments
  54. 54. Part 6: RStudio IDE and GUI RCommander - Graphical User Interface (GUI) RcmdrPlugin.seeg Rcmdr Plugin for seeg RcmdrPlugin.SLC SLC Rcmdr Plug-in RcmdrPlugin.SM Rcmdr Sport Management Plug-In RcmdrPlugin.StatisticalURV Statistical URV Rcmdr Plug-In RcmdrPlugin.steepness Steepness Rcmdr Plug-in RcmdrPlugin.survival R Commander Plug-in for the survival Package RcmdrPlugin.TeachingDemos Rcmdr Teaching Demos Plug-In RcmdrPlugin.temis Graphical user interface providing an integrated text mining solution RcmdrPlugin.UCA UCA Rcmdr Plug-in
  55. 55. RcmdrPlugin.BCA Rcmdr Plug-In for Business and Customer Analytics RcmdrPlugin.coin Rcmdr Coin Plug-In RcmdrPlugin.depthTools R commander Depth Tools Plug-In RcmdrPlugin.doBy Rcmdr doBy Plug-In RcmdrPlugin.DoE R Commander Plugin for (industrial) Design of Experiments RcmdrPlugin.doex Rcmdr plugin for Stat 4309 course RcmdrPlugin.EACSPIR Plugin de R-Commander para el manual EACSPIR RcmdrPlugin.EBM Rcmdr Evidence Based Medicine Plug-In package RcmdrPlugin.epack Rcmdr plugin for time series RcmdrPlugin.EZR R Commander Plug-in for the EZR (Easy R) Package RcmdrPlugin.HH Rcmdr support for the HH package Part 6: RStudio IDE and GUI RCommander - Graphical User Interface (GUI)
  56. 56. Deducer - GUI for Data Visualization http://deducer.org/ Part 6: RStudio IDE and GUI
  57. 57. Part 6: RStudio IDE and GUI Deducer - GUI for Data Visualization http://www.deducer.org/pmwiki/index.php?n=Main.Development DeducerExtras : An add-on package containing a variety of additional analysis dialogs. These include: Distribution quantiles, single/multiple sample proportion tests, paired t-test, Wilcoxon signed rank test, Levene's test, Bartlett's test, k-means clustering, Hierarchical clustering, factor analysis, and multi- dimensional scaling DeducerPlugInScaling : Reliability and factor analysis DeducerMMR : Moderated multiple regression and simple slopes analysis DeducerSpatial : A GUI for Spatial Data Analysis and Visualization gMCP : (Experimental) A graphical approach to sequentially rejective multiple test procedures RGG : (Experimental) A GUI Generator DeducerText : (Experimental) Text Mining Extension Packages
  58. 58. Rattle - GUI for Data Mining http://rattle.togaware.com/ Part 6: RStudio IDE and GUI
  59. 59. Part 7: Help And Documentation In R Use ? or ??
  60. 60. Part 7: Help And Documentation In R Use ? or ??
  61. 61. Part 7: Help And Documentation In R Use ? or ?? http://stat.ethz.ch/R-manual/R-patched/library/stats/html/lm.html
  62. 62. Part 7: Help And Documentation In R Task Views http://cran.r-project.org/web/views/
  63. 63. ML Task View Part 7: Help And Documentation In R
  64. 64. R Community on Twitter #rstats Part 8: Interacting With Community In R
  65. 65. Part 8: Interacting With Community In R R Community on Email http://www.r-project.org/mail.html
  66. 66. Part 8: Interacting With Community In R R Community on Stack Overflow [r]
  67. 67. Part 8: Interacting With Community In R R Community on Cross Validated [r]
  68. 68. Part 8: Interacting With Community In R R Community On Blogs http://www.r-bloggers.com/
  69. 69. Github - Social Coding Part 8: Interacting With Community In R
  70. 70. Part 8: Interacting With Community In R Github - Social Coding
  71. 71. Thank You See You in Class Next Week

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