ANOVA & Chi Square Using the Language of SAS- Part 2

By: Kafeel Basha- Jigsaw Academy Faculty

In my first post ANOVA & Chi Square Using the Language of SAS- Part 1 we looked at some of the procedures involved in analysing ANOVA & Chi square using SAS. I went on to explain ANOVA and give you many examples of how ANOVA is used to determine the significant differences between the means of three or more independent distinct groups, how it compares the means between the groups you are interested in and determines whether any of those means are significantly different from each other and finally how it is used to determine the significant differences between the means of three or more independent distinct groups with unequal sample size.
In this post I will talk about Chi square test using SAS ®
Chi square test using SAS ®

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What Makes Data Big?

 

18 DecWhat Makes Data Big?

Last month we shared an excerpt of the first chapter of an eBook published by Jigsaw Academy’s Big Data Team, titled ‘Beginner’s Guide to Big Data Analytics’. This book aims to give one an understanding of Big Data and what makes data big, while also elaborating in simple language the challenges of Big Data, the emerging technologies and the Big Data landscape. The book also gives valuable insights into careers in Big Data and a glimpse into what the future could hold in store for the industry, and is  a useful companion to those of you enrolled in Jigsaw’s Big Data course.

To download the full eBook for free, please visit our website www.jigsawacademy.com and visit the free trial section. You can not only download this ebook, but you will also get access to our other free resources, eBooks and reports. You can also get a first hand feel of our courses, as we have loads of free course videos and class recordings.

The first chapter ‘What is Big data’ helped us understand the concept of Big Data in todays business scenario.Today we would like to share the next chapter ‘What Makes Data Big?’.

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Using Confidence Intervals Confidently!!!

By Gunnvant Singh- Jigsaw Academy Faculty

All of us have heard about confidence intervals, for some it is a part of their regular vocabulary while for many the very idea of confidence intervals is a little tricky to understand. In this post I will introduce the notion of confidence intervals.

Let us first see what a confidence interval means. Simply put, an X% confidence interval is a set of two numbers between which we are X% confident that our true population mean would lie. Hmm!!! Now that seems pedantic. Let us break things down here. Now it is common knowledge that if I take samples and compute the means out of my samples, the sample estimates would be a little different from the true population average. Most sample averages would lie near the population mean.

If I draw a frequency plot of the different sample averages I will get a plot which looks like this111

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Jigsaw Academy Rated Tops in Analytics Vidya’s Ranking of Best Certifications for SAS, R and Big Data

 

Dec 12

Analytics Vidya has just released their 2014 –2015 list of Top Certifications for Data Analytics and Big Data. They ranked various short duration certification courses accessible in India. Jigsaw Academy, we are proud to say, has come up tops for the certifications we offer in the language of SAS, R and Big Data.

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Jigsaw Academy Features in Today’s Edition of HT Mint

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Happy to share that in today’s print and online edition of the Mint, Jigsaw Academy and our founders Gaurav and Sarita, have been featured. In their article Bold steps in teaching and training, Mint has profiled us, among three other start-ups from the online training and certification industry in India.Read the full article here:

Read more at: http://www.livemint.com/Politics/nsRceISXDoZLkqqpwUBh5N/Bold-steps-in-teaching-and-training.html?utm_source=copy

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Jigsaw CEO in CXO Today

ANOVA & Chi Square Using the Language of SAS- Part 1

By: Kafeel Basha- Jigsaw Academy Faculty

ANOVA

SAS® (Statistical Analysis Software) is an analytic software suite which has the largest market share and is becoming increasingly popular in academics in recent years. SAS offers one-stop solution from data management to advanced analytics, and its “procedure based” language lets users focus less on programming details but more on analysis and modeling.

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What is Big Data? What are it’s Advantages? What are it’s Sources?

 

Have about 7 minutes to spare? Presenting Big Data in a nutshell. Here is a video that explains the concept of Big Data, it’s advantages and it’s sources. This video forms the first video of the Wiley Jigsaw Big Data Specialist Course, which covers the Hadoop Distributed System and popular Big Data Technologies, while at the same time gives students hands-on exposure to industry relevant tools. At the end of the course participants are able to analyze Big Data using Hive, Pig and Impala, implement MapReduce Programs using R and build Tableau Reports and Visualizations.

For a first hand feel of our other courses visit our website www.jigsawacademy.com and click on FREE TRIAL.

Big Data is Big and is predicted to get even bigger in 2015. Are you going to be ready?

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What is Big Data?

Everything you want to Know About Big Data

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Advantages of Apache Spark ™

Yes, Hadoop is your ultimate store of all your semi structured data within HDFS and yes, you can query all your data using Map Reduce. It is indeed the backbone of Big Data analytics, and today many companies are using it to do wonders with their Data.

However, Apache Spark, an open-source data analytics, cluster computing framework, is pretty awesome as well. It was developed in the AMPLab at UC Berkeley in 2009 and open sourced in 2010. Since then it has become one of the largest open source communities in Big Data, with over 200 contributors from 50+ organizations. In 2013 Cloudera began offering commercial support for Apache Spark.

The numerous advantages of Apache Spark makes it a very attractive big data framework. In this blog we will talk through the many advantages of using Spark. The video above by the creator of Spark, Matei Zaharia, will also give you a lot more information about “How Companies are Using Spark, and Where the Edge in Big Data Will Be”.

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Everything you want to Know About Big Data

It’s nearly the end of 2014 and we are seeing so many posts and news articles talking about predictions for 2015, particularly in the Big Data space. The one thing for sure that all the experts are convinced about is that Big Data spending will increase phenomenally and Data related jobs will be among the top tech jobs in 2015.

Career Muse talked to Jigsaw Academy CEO, Gaurav Vohra and asked him to give us the lowdown on Big Data. Take a look at the article All you need to know about Big Data: In Conversation with Gaurav Vohra, CEO of Jigsaw Academy and get all your questions about Big Data answered.

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Understanding Dummy Variable Traps in Regression

4 dec

This is one of the most common problems one faces when running a simple linear regression. Typically the dependent variable is expected to be of a continuous nature whereas the independent variables can take values of continuous as well as categorical nature. Firstly we will take a look at what it means to have a dummy variable trap. Secondly we can then try to understand how the interpretation of dummy variables differ from that of continuous variables in a linear model.

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A Cool Example of an Analytics Application

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India comes out tops for many things. We are the world’s largest democracy, we have the world’s second largest population and are the third largest economy in terms of PPP. We have one of the largest pool of scientists and engineers in the world and are one of the largest users of the internet, antibiotics and gold. And guess what else we now have a pretty impressive record for? Lets politely call it ‘Adult Cyber Entertainment’!

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Understanding and Writing SAS® Stored Process

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About

A stored process is just like a SAS® program, can be base SAS or advanced SAS code, stored in a central server with necessary metadata. It can be executed as required by requesting applications. It can be stored centrally on a server so that they may be accessed from anywhere in the organization. It is hosted on a server and described by metadata. We can use stored processes for Web reporting, analytics, building Web applications, delivering packages to clients or to the middle tier, and publishing results to channels or repositories. A stored process can be invoked easily from central location by many of the SAS clients at a same time like SAS EG, SAS ID, SAS BI Dashboard, SAS Web Report Studio.

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Career Muse talks to Gaurav Vohra, CEO Jigsaw Academy about his Data Science Career

Nov 28

Careermuse, is a career blog, initiated by Career Builder India for both recruiters and those seeking a career shakeup. In their section #KNOWTHEPROFESSION this week, they feature Jigsaw Academy CEO Gaurav Vohra, where he talks about what got him into the profession, his journey with Jigsaw, as well as lots of advise for those interested in a career in Data Analytics. Below is a reproduction of the article.

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Linda Burtch on the Skills Data Scientists Need

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Linda Burtch, the founder and managing director at Burtch Works, has more than 30 years of experience placing quantitative professionals. In her recent article The Must-Have Skills You Need to Become a Data Scientist, Linda has put together a list of technical and non-technical skills that are critical to success in data science, and at the top of hiring managers’ lists. Towards the end of her list, she also gives us a number of resources that can help someone who wants to begin a career in data science. Do take note of the comments section…Thanks Jigsawite Kamraj Subramaniam for adding Jigsaw Academy to the list of resources and commenting as follows”:

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What is Big Data?

25 Nov

Sharing an excerpt of the first chapter of an eBook published by Jigsaw Academy’s Big Data Team, titled ‘Beginner’s Guide to Big Data Analytics’.

This book aims to give one an understanding of Big Data and what makes data big, while also elaborating in simple language the challenges of Big Data, the emerging technologies and the Big Data landscape. The book also gives valuable insights into careers in Big Data and a glimpse into what the future could hold in store for the industry. The book is  a useful companion to those of you enrolled in Jigsaw’s Course ‘Big Data Analytics Using Hadoop and R’. You can use this book to compliment your learning and better understand Big Data.

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