Data science has become an integral part of a 21st century organization. Almost all the companies, large, medium or small, want to utilize data science to fulfill their business imperatives by
There are much more industry applications and…Continue
Added by Ankit Garg on August 8, 2019 at 5:52pm — No Comments
Digging through messy data and doing numerous calculations just so you can submit a report or arrive at the result of your quarterly business development can sometimes be nigh impossible. After all, we are only human, and by the time we get to the other side of our spreadsheet equation, we have lost all sense of what we were trying to accomplish.
Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results. This process is called Data Modelling. To avoid human error and speed up the process specialised software is used to help with building a logical data model, a physical data…Continue
`The full-stack BI software category comprises of three different product flavors, which are nonetheless comparable to each other as they all endeavor to provide an end-to-end solution to the data challenges described at the beginning of the guide. The three subcategories are:
Added by Grishma Govani on May 1, 2015 at 3:30am — No Comments
This is a compilation has everything you need to jumpstart your skills in the core tasks of data transformation, modeling, and visualization.
tl;dr: Coursera and John Hopkins have a new course called The Data Scientist's Toolbox. https://www.coursera.org/course/datascitoolbox
Below is a list of popular analysis from Rexer's 2013 survey. The table is biased towards customer transaction, text,…
Added by Peter Higdon on March 25, 2014 at 9:01am — No Comments
There's a lot of confusing jargon and buzzwords in this new field. It helps to know who some of the major players are and what services they offer. This list is a mild introduction and far from exhaustive.
Amazon Web Services: Infrastructure as a service (IaaS). EC2 virtual servers, S3 storage, Mechanical Turk, analytics, and more.
Yandex: Russian competitor for google. Recently launched Cocaine server based on Docker.
Salesforce: Customer Relationship Management…Continue
When I stumbled upon the phrase "Data Scientist" 3 years ago, I immediately recognized it as my best prospect for a productive career. How to start? What are the tools of the trade?
This is the blog post I wish I could have read back then.
Many of the things I list here didn't exist or were unstable until recently.
I discovered the "predictive analytics" rabbit hole and started to read and watch whatever I could find on the subject. Upon watching the Gigaohm…
Python is an increasingly popular object-oriented, interpreted and interactive programming language used for heavy-duty data analysis. Python is designed for ease-of-use, speed, readability and tailored for data-intensive applications.…Continue
The ‘Bell curve’ or the ‘Gaussian bell curve’ is one of the fundamental concepts on which most of the statistical analysis is based. From social sciences to astronomy to financial services- most of the application of statistics in the real world relies on the assumption that the data being analysed is distributed in the shape of the bell…Continue
Added by Gaurav Vohra on January 15, 2013 at 12:29am — No Comments