Data Science PREDICTIVE ANALYTICS REPORT

Make Data Science investments easy: Download the complete report HERE

ANALYSIS

What You Need to Know

  • Breakouts in the Data Science predictive analytics are Big data, Data analysis, MATLAB. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are PSPP, Prasanta Chandra Mahalanobis, Cython.
  • By far most employment needs are found in the Computer science, Data analysis, Mathematics technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Microsoft Excel, Computer science, Mathematics.
  • MATLAB, SPSS, Cloud computing lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Cloud computing, Predictive analytics, Big data.
  • These three technologies have the most active advertisers: Cloud computing, Big data, Data analysis.
  • In patents, these three technologies have the most coverage Data analysis, Histogram, ANOVA.
  • The most publications are available for Lua (programming language), Julia (programming language), Social sciences.
  • Instruction and courseware availability is highest in these technologies: Computer science, Big data, Mathematics.

The Data Science report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

Data science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, data mining, and predictive analytics, similar to Knowledge Discovery in Databases (KDD).

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Data Science’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

068523 – Big data
029248 – Data analysis
006795 – MATLAB
004840 – Predictive analytics
002411 – Regression analysis
000438 – Deep learning
000426 – Pattern recognition and learning
000376 – Data visualization
000319 – SciPy
000284 – Run chart
000261 – Data engineering
000229 – Machine learning
000194 – Python (programming language)
000176 – Business analytics
000167 – Java (programming language)
000153 – Scikit-learn
000153 – Computer science
000134 – Cython
000126 – Small multiple
000121 – Plotly
000119 – Descriptive statistics
000101 – Time series database
000101 – R programming language
000095 – RapidMiner
000080 – Data science
000077 – SAS language
000072 – Table (information)
000063 – PSPP
000061 – Bar chart
000058 – ANOVA
000057 – Infographic
000057 – Control chart
000054 – R (software)
000051 – RStudio
000051 – Mathematics
000050 – Pareto chart
000050 – GraphPad Prism
000043 – Stata
000040 – SPSS Modeler
000034 – Data Applied
000032 – SOCR
000032 – Social sciences
000031 – SmartPLS
000031 – Exploratory data analysis
000030 – Simul
000030 – Biological sciences
000027 – LIBSVM
000024 – XLStat
000024 – Time series analysis
000023 – MedCalc
000022 – Artificial intelligence
000021 – Histogram
000020 – Boxplot
000019 – SPSS
000017 – XploRe
000016 – The Data Incubator
000016 – Structural equation modeling
000015 – Scatterplot
000015 – Generalized linear model
000014 – ADMB
000012 – Data Desk
000012 – Cloud computing
000011 – Pie chart
000011 – Lua (programming language)
000009 – GAUSS
000006 – Vector autoregression
000004 – Microsoft Excel
000004 – EViews
000003 – GeoDA
000003 – Business process improvement
000000 – Torch (machine learning)
000000 – Sparkline
000000 – SageMath
000000 – RExcel
000000 – R Commander
000000 – Prasanta Chandra Mahalanobis
000000 – Origin (software)
000000 – OpenEpi
000000 – Julia (programming language)
000000 – Hadley Wickham
000000 – Gretl
000000 – General Assembly (school)
000000 – DJ Patil
000000 – Area chart


Full Report Purchase Options

Full Data Science Report Purchase Options


Leave a Reply