Recap of Data Science News for January 2017

Recap of Data Science News for January 2017

Data Science News - January 2017

Data Science News for Jan 2017

Data Science Jobs Report Q4 2016., January 2,2017.

iCrunchdata recently released its United States Data Science Jobs report and the numbers are fascinating.  According to the report-
i) 27% of data scientists in US earn salaries in the range $76,000 to $100,000 USD. Of all the data scientists hired in US.
ii) 93% of them are full time hires whilst only 7% of them are part time or contract to hire positions. 
iii) San Francisco, California topped the list of Top 10 Cities for Data Science Jobs
iv) Trending skills for data scientists are Python programming, R programming, Hadoop, SAS, Julia, Data Visualization, Data Integration,Machine Learning , SQL.

(Source : )

Data Science Training

CES 2017: Galvanize to train Colorado’s transportation employees in data , January 4, 2017

With Colorado’s traffic congestion problem getting worse over the time, building new roads worth billion dollars is not the solution.Colorado Department of Transportation has teamed up with Denver based Galvanize wherein CDOT employees will gain data science skills from Galvanize professors and students. The state transportation data would be analysed to figure out easier methods to curb Colorado traffic congestion problem without imposing extra cost on taxpayers.

(Source : )

Want to be a software developer? Time to learn AI and data science., January 23,2017.

There have been several speculations about smart machines suppressing the demand for developers but the reality is that there will be increasing demand for developers with different skills. Developers will have to curate the data and use the software through the process of learning by itself. This would require interacting with the software using various programming scripts in Python,R and other languages. Thus, there will be an increasing demand for developers who are going to upgrade their skill sets with more data science and AI skills.

(Source :  )

Startup Wants to Bring Uber Marketplace Model to Data Scientists., January 24, 2017.

Pivigo, a London based startup is putting in efforts to make hiring data scientists as easy as booking an Uber. The company is launching a marketplace which will help organizations connect with data scientists or researchers on a project-by-project basis. Smaller organizations who cannot afford expensive consulting firms or cannot afford to hire in-house data scientists will be benefit most from this. Pivigo has approximately 1500 data scientists on its platforms and its targeting businesses having 500 to 1000 employees.

(Source :

Virtual Reality’s Next Frontier Is...Visuals for Data Science?. , January 26, 2017.

Virtualitics LLC is all set to launch its business that will bring together virtual reality and data visualization. The technology makes use of machine learning to summarize data patterns. Data scientists at Virtualitics have teamed up with video-gaming veterans to develop user friendly tools in virtual reality. This will help people to draw insights beyond the 2D screen so that businesses can get a better picture on what going on with the data.

(Source : )

Keeping Data Scientists Happy: The Rise of the Cloud Data, January 27,2017.

IT is a resource crunched field in many organizations and dedicating physical servers and having support for a laboratory with specific ROI might be challenging for data scientists. To fulfill that backdrop, cloud is just the perfect place for data science experimentation. Having a data lab in the cloud will allow data scientists to work with huge amounts of data and integrate well with existing technologies that can perform complex machine learning tasks. A cloud data lab can be easily repurporsed or stopped if not required and can as well be designed for production workloads.TO keep data scientists happy, organizations have started implementing cloud data lab so that data scientists can replicate and scale the entire technogloy stack just by mere click of a button.

(Source : )

Data Scientist, DevOps Engineer and DBA Among Top IT Jobs for 2017. Datamation, January 30, 2017.

Data Scientist wins the title of “Best Job in America” for  second year in a row followed by DevOps and Data Engineer.Glassdoor ranks the jobs based on the job satisfaction rating, annual base salary and the number of job openings. Data Scientist job stands out across all the 3 categories with  a healthy job satisfaction rating of 4.4, annual base salary of $110,000 and 4000 job openings in US alone. Data engineers,professionals skilled in preparing data for analytics score the third place with approximately 2600 open job positions in US with an average salary of $106,000.

(Source : )



Certified Data Science Training

Relevant Projects

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Deep Learning with Keras in R to Predict Customer Churn
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.