1. Data Analysis and R : Technology & Opportunityby
Dr. Rahila Sheikh
PhD (Comp.Sci & Tech..)

2. Data Analysis ?
How to manage very large amounts of data and extract value and knowledge from them???

3. Data Analysis
Data analysis is the process of bringing order, structure and meaning to the mass of collected data.
It is a messy, ambiguous, time-consuming, creative, and fascinating process
It does not proceed in a linear fashion; it is not neat.

4. Data Analysis
The purpose of analyzing data is to obtain usable and useful information.
The analysis, irrespective of whether the data is qualitative or quantitative, may:
describe and summarize the data
identify relationships between variables
compare variables
identify the difference between variables
forecast outcomes

5. Data Analysis TOOLS TO SUPPORT DATA ANALYSIS
Spreadsheet –simple to use, basic graphs
Statistical packages, e.g. SPSS, S, S+,R

6. Data Analysis Vs Analytics
According to Merriam-Webster dictionary, analysis is the separation of a whole into its component parts, and analytics is the method of logical analysis. 
One way to distinguish the difference between analysis and analytics is to think in terms of past and future.
Analysis looks backwards over time, providing marketers with a historical view of what has happened.
Typically, analytics look forward to model the future or predict a result.

7. Data Analytics

8. Data Science – A Definition
Data Science is the science which uses computer science, statistics and machine learning, visualization and human-computer interactions to collect, clean, integrate, analyze, visualize, interact with data to create data products.

9. Big Data Big Data Definition No single standard definition…
“Big Data” is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it…

10. “Big Data” Sources It’s All Happening On-line
User Generated (Web & Mobile)
Every:
Click
Ad impression
Billing event
Fast Forward, pause,…
Server request
Transaction
Network message
Fault …
…..
Internet of Things / M2M
Health/Scientific Computing

11. Big Data

12. Big Data
Walmart handles more than 1 million customer transactions every hour, which is imported into databases estimated to contain more than 2.5 petabytes * of data — the equivalent of 167 times the information contained in all the books in the US Library of Congress.
The volume of business data worldwide, across all companies, doubles every 1.2 years, according to estimates
(1 Petabyte =  B = 10005 B = 1015 B = 1 million gigabytes)
Think of the hard drive on your computer at home having 500 gigabytes. Now multiply that by 2,000!

13. Big Data
About 85% is unstructured data

14. Data Size Bit 1 bit 1/8 Nibble 4 bits 1/2 (rare) Byte 8 bits 1
Kilobyte
1,024 bytes
1,024
Megabyte
1,024 kilobytes
1,048,576
Gigabyte
1,024 megabytes
1,073,741,824
Terrabyte
1,024 gigabytes
1,099,511,627,776
Petabyte
1,024 terrabytes
1,125,899,906,842,624
Exabyte
1,024 petabytes
1,152,921,504,606,846,976
Zettabyte
1,024 exabytes
1,180,591,620,717,411,303,424
Yottabyte
1,024 zettabytes
1,208,925,819,614,629,174,706,176

15. Infrastructure (Mega Datacenters)

16. Gen 4 Modular Datacenter
Microsoft showed how Gen 4 characteristics could be put in place in both the company's smaller data centers and in its mega-data centers. The portion of the video showing off the Gen 4 mega-data center almost looks like a series of interconnected tiny power plants.

18. Why to Study R?
In today’s fast-changing Big Data world, mastering the right analytical tool holds the key to a successful career.
Before acquiring new data analytics skills, you need to know about the prospects of relevant tools in the job market
R – World’s Most Powerful Programming Language for Statistical Computing and Machine Learning

19. Why to Study R?
R is the Preferred Industry choice

20. Why to Study R?
Land One of the Highest Paying Jobs in the World – Data Scientist 

21. Why to Study R?
Companies Increasingly Using  R

22. Why to Study R?

23. Why to Study R?
Encouraging Job Trend for R 

24. Why to Study R?
R Training for a Six Figure Salary

25. Thank you