What is the future of Data science in the next coming years?

In today world every minute massive amount of data are generated from phone, website and application across the internet. Due to emergence of big data traditional data processing application are not able to handle them. Here we need skilled professionals who can analyze and interpret the required data set to help businesses make better strategic decisions. These professional are named as Data scientist.

A Data Scientist take raw data and extract useful information from them using automated methods. A data scientist will not just find the business problem, they will also capable to pick up the right problem and solve them quickly.

According to Drew Conway’s Popular Data Science Venn Diagram Popular- characterizes the data scientist as a person who must have following qualities:

These days, it seems everyone is talking about data scientist jobs. Today Data Scientist has famously been called “the sexiest job of the 21^st century”. This is really quite interested to predict future business scenarios or find useful facts. That why a day by day data scientist demand is going to high. And Data scientist are relatively hard to find day by day, especially in tight job markets.

Data Scientist Salaries:

According to Team Lease, a staffing solution company, data scientist earn 75 lakh per annum with around 5-8 year experience while an engineer’s earn 5-8 lakh per annum with the same experience.

 According to Burtch Works, data scientists earn 39 % higher salary than other predictive analytics  professionals like the annual salary of data scientist is $120,000 while the annual salary of other  professionals in predictive analytics earn $95,000.

The Robert Half Technology 2016 Salary Guide release that the salary of data scientist is nearly increase 9 percent in 2016 as compared to 2015. In other words the salary range for data scientist in 2015 was $103,000-$138,250 and in 2016 they expect then range to increase $109,000-$153,750. 

In this way Data science provides Data science solutions and consulting to unlock demand and value of the data. Move your carrers towards Analytics to make better place in the world.

Big Dataset available for Free

Every Beginner or fresher who want to build career in Analytics fields have only one question that “Don’t Know Where to find public Data sets?” because they require data to test our skills. Well don’t take tension because we have Every Beginner or fresher who want to build career in Analytics fields have only one question that “Don’t Know Where to find public Data sets?” because they require data to test our skills. Well don’t take tension because we have done easy for you. We will provide you some excellent data sources name through which you can download public data set easy for you. We will provide you some excellent data sources name through which you can download public data-set.

1.    Kaggle: 

Kaggle is founded in 2010, Kaggle is an online platform for data-mining and predictive modelling competitions. In Kaggle mostly companies and researchers post their data and statisticians, Data scientist and data miners from all over the world compete to produce the best models.

Kaggle is the home for everything data science related. Kaggle analytics competitions find the talent foe their businesses. It is one unique platform for analyst which test our knowledge and also grow in our career.

    2.  UnitedStates Census Bureau: 

     United States Census Bureau (USBC) is the agency of the U.S. Federal Statistical System, which is responsible for producing data about the American people and economy. It collects the census information once every 10 years.  Once you go head to the link, click on the Topics tab at the top and you will see the sub tabs containing titled like Health, Population, Education and many more. Each of these tabs contains data related to topics.

           

    

      3.   WorldBank:

World Bank provide all the users to access World Bank data, according to the open Data Terms of Use. You can access data by name of the country, economy, education, healthcare, trade etc.  

     4.  UC Irvine Machine Learning:

UC Irvine is an American university. It is a machine learning repository which contains databases, domain theories that are used by the machine learning community for empirical analysis of machine learning algorithm. In this repository dataset are freely available to the general public that why it has been widely used by students, educators, and researchers all over the world. 

     5.    AWSPublic Data sets:

Amazon web services provides a centralized repository of public data sets that anyone can access for free. Unlike all the AWS services user have to pay for the compute and storage they use for their own applications but now AWS hosting the public data set at no charge for the community.

    6.   Reddit:

Reddit is social news networking service which allow registered community members to submit content such as text posts or direct links. In other words we can say it is a collection of entries by its registered user, essentially a bulletin board system. Recently Reddit released an enormous data set containing all ~1.7 billion of their publicly available comments. 

    7.   Data.Gov:

Data.Gov is an open Government Data Platform which allow users to access Datasets/Apps published by Minister/Department. It is U.S. government website launched in late May 2009. Once you go head the link you will see there is numerous available topics such as Production of Automobiles and Resultant Pollution, Datasets in Education sector and many more. When you click on any one them you will see all the available dataset related to these topics. 

    8.     Quandl:

Quandl is a market place which allows users to access several millions, financial economic and social datasets. In other words we can say Quandl is search engine for numerical data. It basically helps analyst to save time, effort and money obtaining financial and economic data. 

These are only some few interesting data banks that we explored. You can find what you are looking for at the following links:

•   KDnuggets: http://www.kdnuggets.com/2011/02/free-public-datasets.html
•  Georgia Tech FODAVA: http://fodava.gatech.edu/visual-data-analytics-data-sets
• YouTube Data: http://netsg.cs.sfu.ca/youtubedata/
•  Data Science Central: http://www.datasciencecentral.com/profiles/blogs/big-data-sets-      available-for-free 
• Mode Analytics: https://blog.modeanalytics.com/five-public-dataset/
• Stack exchange: http://stats.stackexchange.com/questions/7/locating-freely-available-data-samples
• Abbott Analytics: http://www.abbottanalytics.com/data-mining-resources-sets.php
•  Bigml blog: http://blog.bigml.com/2013/02/28/data-data-data-thousands-of-public-data-sources/
•  Reddit: https://r-dir.com/reference/datasets.html
• Social Network Dataset: http://ww43.growmeme.com/overview