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ANALYSIS

What You Need to Know

  • Breakouts in the Data analytics predictive analytics are Big Data Software, Unstructured data, Crimson Hexagon. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are SalesHandy, Small multiple, SciPy.
  • By far most employment needs are found in the Problem solving, Big data, Business intelligence technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Problem solving, Business intelligence, Qualitative research.
  • Standard deviation, Big data, Median lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Data Visualization Software, eDiscovery, Predictive analytics.
  • These three technologies have the most active advertisers: Business intelligence, Social Media Marketing Software, Content Marketing Software.
  • In patents, these three technologies have the most coverage Median, Standard deviation, Test method.
  • The most publications are available for Problem solving, Standard deviation, Probability distribution.
  • Instruction and courseware availability is highest in these technologies: Big data, Data science, Machine learning.

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Download Data analytics Report and Get Started

Download Data analytics Report and Get Started


The Data analytics 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 analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Data analytics’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. My custom essay writers

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:

000545 – Big Data Software
000478 – Unstructured data
000426 – Crimson Hexagon
000425 – Alteryx
000394 – Problem solving
000373 – Data visualization
000364 – Statistical inference
000351 – Data integrity
000348 – Datameer
000346 – Data governance
000343 – Big data
000335 – SciPy
000328 – Data science
000308 – Data Visualization Software
000304 – Run chart
000303 – Missing data
000291 – Data validation
000280 – Test method
000270 – Lex Machina
000266 – Host Analytics
000262 – Simply Measured
000246 – eDiscovery
000241 – Hosted Elasticsearch
000231 – Median
000228 – Predictive analytics
000228 – Machine learning
000198 – Data loss
000184 – Data quality
000181 – TIBCO Spotfire
000181 – Data wrangling
000169 – ANCOVA
000164 – KNIME
000163 – Randomization
000163 – Hypothesis testing
000162 – Keen IO
000161 – Text analytics
000161 – Table (information)
000155 – Data security
000144 – Inferential statistics
000130 – Content Marketing Software
000127 – Descriptive statistics
000126 – Data Entry Software
000125 – Data system
000124 – Line chart
000120 – Pentaho
000105 – R (programming language)
000103 – Data integration
000101 – RapidMiner
000083 – Small multiple
000083 – rx Medical
000077 – Propensity score matching
000076 – Scatter plot
000075 – Data (computing)
000069 – Bar chart
000065 – Process theory
000061 – Pareto chart
000060 – ANOVA
000059 – Computer data storage
000056 – Normal distribution
000055 – Sensitivity analysis
000052 – Financial statement analysis
000049 – T test
000049 – Standard deviation
000049 – Data editing
000049 – Control chart
000047 – Measuring instrument
000032 – Regression analysis
000031 – Exploratory data analysis
000031 – Business intelligence
000029 – Scatterplot
000020 – Histogram
000020 – Cognitive bias
000020 – Boxplot
000019 – Generalized linear model
000016 – Sparkline
000014 – Probability distribution
000013 – Data scraping
000010 – Pie chart
000005 – Qualitative research
000000 – Type I and type II errors
000000 – Type 1 error
000000 – Social Media Marketing Software
000000 – SalesHandy
000000 – Response rate (survey)
000000 – Mutually exclusive events
000000 – eDiscovery Point
000000 – Doing Data Science
000000 – Confirmation bias
000000 – CloudCherry Analytics
000000 – Area chart

Evaluation Criteria Definitions:

Interest and Popularity:

Leaders:

097 – SalesHandy
094 – Small multiple
093 – SciPy

Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.

Employment Demand:

Leaders:

365516 – Problem solving
020539 – Big data
020403 – Business intelligence

Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization’s application of it in relation to the other subjects.

Active Practitioners:

Leaders:

04360641 – Problem solving
02721380 – Business intelligence
00906428 – Qualitative research

Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization’s application of it in relation to the other subjects.

Monthly Searches:

Leaders:

301000 – Standard deviation
246000 – Big data
201000 – Median

How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.

Cost per Click:

Leaders:

021.07 – Data Visualization Software
019.53 – eDiscovery
019.51 – Predictive analytics

CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.

Active Advertisers:

Leaders:

055 – Business intelligence
050 – Social Media Marketing Software
047 – Content Marketing Software

This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.

Patents:

Leaders:

02710000 – Median
02300000 – Standard deviation
01740000 – Test method

Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.

Books in print:

Leaders:

00129617 – Problem solving
00069206 – Standard deviation
00024883 – Probability distribution

Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.

Instruction and courseware available content:

Leaders:

03500000 – Big data
03060000 – Data science
00920000 – Machine learning

Number of instruction and courseware available content that covers the subject. Indicator of the need for knowledge sharing and its availability.

Complete Overview:

Interest and Popularity

097 – SalesHandy
094 – Small multiple
093 – SciPy
093 – Predictive analytics
093 – KNIME
092 – Data validation
092 – Big Data Software
092 – Alteryx
091 – Big data
090 – Machine learning
087 – Data visualization
087 – Data science
083 – R (programming language)
083 – Datameer
083 – Area chart
082 – Text analytics
082 – Line chart
082 – Bar chart
081 – Data wrangling
078 – RapidMiner
077 – Run chart
077 – eDiscovery
076 – Data governance
073 – Median
070 – Sparkline
070 – Crimson Hexagon
069 – Test method
069 – Social Media Marketing Software
069 – Confirmation bias
068 – Pie chart
064 – Simply Measured
064 – CloudCherry Analytics
063 – Missing data
063 – Host Analytics
062 – Pentaho
062 – Pareto chart
061 – TIBCO Spotfire
061 – Propensity score matching
061 – Doing Data Science
060 – T test
060 – Sensitivity analysis
060 – Boxplot
055 – Measuring instrument
055 – Data loss
053 – Hosted Elasticsearch
052 – Data integrity
051 – Data (computing)
051 – ANOVA
050 – Unstructured data
050 – Hypothesis testing
050 – Histogram
050 – Data security
050 – Cognitive bias
048 – Scatterplot
048 – Lex Machina
048 – Inferential statistics
047 – Scatter plot
047 – Qualitative research
047 – Problem solving
047 – Descriptive statistics
046 – Standard deviation
046 – Mutually exclusive events
046 – Keen IO
044 – Financial statement analysis
043 – Statistical inference
043 – Generalized linear model
042 – Data system
042 – Control chart
042 – Business intelligence
041 – Type 1 error
041 – Data scraping
040 – eDiscovery Point
040 – Content Marketing Software
039 – Data quality
038 – Normal distribution
037 – Probability distribution
036 – rx Medical
036 – Regression analysis
035 – Table (information)
034 – Randomization
034 – Data Visualization Software
034 – Data integration
033 – Exploratory data analysis
033 – Computer data storage
032 – Type I and type II errors
032 – Response rate (survey)
032 – Process theory
032 – Data Entry Software
032 – ANCOVA
031 – Data editing

Employment Demand:

365516 – Problem solving
020539 – Big data
020403 – Business intelligence
013020 – Data integrity
010814 – Data quality
009428 – Machine learning
005724 – Data visualization
005706 – Data science
005700 – Data integration
004206 – Data security
002799 – Data governance
002736 – Data system
002394 – Data validation
002339 – Predictive analytics
001979 – Statistical inference
001687 – Unstructured data
001190 – Data loss
001179 – Financial statement analysis
001029 – Qualitative research
000872 – Median
000802 – eDiscovery
000755 – Test method
000658 – Pentaho
000632 – Missing data
000576 – Regression analysis
000441 – Hypothesis testing
000398 – Sensitivity analysis
000392 – Randomization
000381 – ANOVA
000335 – Alteryx
000319 – Descriptive statistics
000289 – Text analytics
000289 – SciPy
000213 – Exploratory data analysis
000211 – Data Visualization Software
000181 – TIBCO Spotfire
000171 – Big Data Software
000137 – Data Entry Software
000133 – Inferential statistics
000104 – Data wrangling
000104 – Crimson Hexagon
000103 – Standard deviation
000088 – ANCOVA
000084 – RapidMiner
000082 – Data (computing)
000077 – Data editing
000070 – Datameer
000066 – T test
000066 – KNIME
000061 – Host Analytics
000058 – Simply Measured
000049 – R (programming language)
000048 – Histogram
000044 – Control chart
000035 – Normal distribution
000034 – Table (information)
000034 – Bar chart
000031 – Process theory
000027 – Measuring instrument
000023 – Pareto chart
000020 – Run chart
000015 – Propensity score matching
000014 – Scatter plot
000014 – rx Medical
000014 – Line chart
000012 – Probability distribution
000009 – Lex Machina
000009 – Keen IO
000008 – Content Marketing Software
000008 – Computer data storage
000007 – Data scraping
000005 – Generalized linear model
000003 – Small multiple
000003 – Pie chart
000003 – Cognitive bias
000002 – Scatterplot
000001 – Sparkline
000001 – Hosted Elasticsearch
000001 – Boxplot
000000 – Type I and type II errors
000000 – Type 1 error
000000 – Social Media Marketing Software
000000 – SalesHandy
000000 – Response rate (survey)
000000 – Mutually exclusive events
000000 – eDiscovery Point
000000 – Doing Data Science
000000 – Confirmation bias
000000 – CloudCherry Analytics
000000 – Area chart

Active Practitioners:

04360641 – Problem solving
02721380 – Business intelligence
00906428 – Qualitative research
00545016 – Big data
00371405 – Machine learning
00228662 – Data quality
00193107 – Data integrity
00187572 – Data integration
00151338 – Data science
00135698 – Data security
00133545 – Data visualization
00100441 – Financial statement analysis
00095339 – Predictive analytics
00092212 – Data system
00075734 – Data validation
00064570 – Regression analysis
00061528 – Data governance
00043194 – Sensitivity analysis
00034090 – Pentaho
00033047 – Data loss
00032444 – ANOVA
00027513 – Median
00025070 – eDiscovery
00023360 – Statistical inference
00023038 – Exploratory data analysis
00018592 – Test method
00017659 – Unstructured data
00014730 – Text analytics
00013564 – Hypothesis testing
00013134 – Missing data
00012164 – Histogram
00011824 – Descriptive statistics
00009611 – Standard deviation
00008181 – Randomization
00008072 – T test
00008026 – SciPy
00007258 – Alteryx
00006502 – RapidMiner
00006088 – TIBCO Spotfire
00005552 – Data (computing)
00004823 – Data editing
00004643 – Data wrangling
00004439 – Inferential statistics
00004026 – Bar chart
00003879 – R (programming language)
00003758 – Control chart
00003742 – KNIME
00003474 – Data Entry Software
00003175 – Measuring instrument
00003167 – Probability distribution
00002886 – Big Data Software
00002383 – Normal distribution
00002344 – Pareto chart
00002333 – Data Visualization Software
00002271 – Data scraping
00001983 – Pie chart
00001708 – Crimson Hexagon
00001668 – Datameer
00001663 – ANCOVA
00001523 – Process theory
00001445 – Host Analytics
00001415 – Simply Measured
00001196 – Propensity score matching
00001161 – Generalized linear model
00000925 – Line chart
00000861 – Scatter plot
00000755 – Cognitive bias
00000740 – Table (information)
00000607 – rx Medical
00000507 – Run chart
00000497 – Social Media Marketing Software
00000445 – Computer data storage
00000435 – Sparkline
00000341 – Small multiple
00000332 – Scatterplot
00000303 – Boxplot
00000274 – Confirmation bias
00000256 – Keen IO
00000246 – Content Marketing Software
00000187 – Area chart
00000160 – Lex Machina
00000111 – Doing Data Science
00000084 – Response rate (survey)
00000056 – Type I and type II errors
00000034 – Type 1 error
00000022 – Mutually exclusive events
00000022 – Hosted Elasticsearch
00000016 – eDiscovery Point
00000010 – SalesHandy
00000007 – CloudCherry Analytics

Monthly Searches:

301000 – Standard deviation
246000 – Big data
201000 – Median
135000 – Histogram
110000 – T test
110000 – Business intelligence
110000 – ANOVA
090500 – Normal distribution
060500 – Problem solving
049500 – Pentaho
049500 – Machine learning
040500 – Regression analysis
040500 – Qualitative research
040500 – Pie chart
040500 – Confirmation bias
033100 – Pareto chart
027100 – Sensitivity analysis
027100 – Scatter plot
027100 – Hypothesis testing
027100 – Descriptive statistics
027100 – Boxplot
027100 – Bar chart
022200 – SciPy
022200 – Probability distribution
022200 – Data visualization
018100 – Type 1 error
018100 – Predictive analytics
018100 – Inferential statistics
014800 – Data science
012100 – Financial statement analysis
012100 – Data integrity
012100 – ANCOVA
009900 – Cognitive bias
008100 – Statistical inference
008100 – Scatterplot
008100 – Data security
008100 – Alteryx
006600 – TIBCO Spotfire
006600 – eDiscovery
006600 – Data validation
006600 – Data governance
006600 – Control chart
005400 – Line chart
005400 – Data quality
004400 – Sparkline
004400 – Randomization
004400 – Propensity score matching
004400 – Data integration
003600 – Unstructured data
003600 – Run chart
003600 – Generalized linear model
002900 – Host Analytics
002900 – Exploratory data analysis
002900 – Data system
002400 – Text analytics
001900 – Data Visualization Software
001600 – Missing data
001600 – Data scraping
001600 – Area chart
001300 – Type I and type II errors
001300 – Data loss
001300 – Data Entry Software
001000 – Measuring instrument
000880 – Big Data Software
000720 – Process theory
000720 – Computer data storage
000480 – Test method
000390 – Social Media Marketing Software
000260 – Data editing
000000 – Table (information)
000000 – Small multiple
000000 – Simply Measured
000000 – SalesHandy
000000 – rx Medical
000000 – Response rate (survey)
000000 – RapidMiner
000000 – R (programming language)
000000 – Mutually exclusive events
000000 – Lex Machina
000000 – KNIME
000000 – Keen IO
000000 – Hosted Elasticsearch
000000 – eDiscovery Point
000000 – Doing Data Science
000000 – Datameer
000000 – Data wrangling
000000 – Data (computing)
000000 – Crimson Hexagon
000000 – Content Marketing Software
000000 – CloudCherry Analytics

Cost per Click:

021.07 – Data Visualization Software
019.53 – eDiscovery
019.51 – Predictive analytics
018.96 – Unstructured data
014.53 – Big data
011.16 – Data visualization
010.41 – Data security
008.08 – Data quality
007.74 – TIBCO Spotfire
007.74 – Data integration
007.34 – Social Media Marketing Software
006.46 – Computer data storage
005.77 – Text analytics
005.66 – Scatter plot
005.66 – Business intelligence
005.41 – Data system
005.01 – Data editing
004.51 – Area chart
004.22 – Propensity score matching
003.86 – Financial statement analysis
003.81 – Control chart
003.74 – Type I and type II errors
003.62 – Data governance
003.29 – Data scraping
002.95 – Big Data Software
002.83 – Machine learning
002.82 – Missing data
002.78 – Inferential statistics
002.27 – Boxplot
001.87 – Type 1 error
001.27 – Data science
001.21 – Descriptive statistics
001.17 – Generalized linear model
001.15 – Regression analysis
001.11 – Bar chart
001.04 – Statistical inference
000.95 – Measuring instrument
000.94 – Test method
000.92 – SciPy
000.90 – Probability distribution
000.79 – Sensitivity analysis
000.79 – Data integrity
000.74 – Histogram
000.72 – Data Entry Software
000.71 – Sparkline
000.68 – Host Analytics
000.66 – Data loss
000.64 – Pareto chart
000.63 – Alteryx
000.62 – Pentaho
000.61 – Process theory
000.59 – Exploratory data analysis
000.53 – Data validation
000.48 – Confirmation bias
000.36 – ANOVA
000.31 – Median
000.29 – Problem solving
000.24 – Standard deviation
000.23 – Cognitive bias
000.09 – Qualitative research
000.08 – Line chart
000.06 – Run chart
000.06 – Pie chart
000.06 – Normal distribution
000.05 – T test
000.04 – Scatterplot
000.03 – Randomization
000.03 – Hypothesis testing
000.03 – ANCOVA
000.00 – Table (information)
000.00 – Small multiple
000.00 – Simply Measured
000.00 – SalesHandy
000.00 – rx Medical
000.00 – Response rate (survey)
000.00 – RapidMiner
000.00 – R (programming language)
000.00 – Mutually exclusive events
000.00 – Lex Machina
000.00 – KNIME
000.00 – Keen IO
000.00 – Hosted Elasticsearch
000.00 – eDiscovery Point
000.00 – Doing Data Science
000.00 – Datameer
000.00 – Data wrangling
000.00 – Data (computing)
000.00 – Crimson Hexagon
000.00 – Content Marketing Software
000.00 – CloudCherry Analytics

Active Advertisers

055 – Business intelligence
050 – Social Media Marketing Software
047 – Content Marketing Software
047 – Big Data Software
047 – Big data
046 – Text analytics
045 – Data Visualization Software
045 – Data integration
044 – Predictive analytics
044 – Data science
041 – Data security
040 – Data visualization
038 – Computer data storage
036 – eDiscovery
036 – Data governance
034 – Data Entry Software
030 – Data quality
026 – Unstructured data
025 – Machine learning
024 – Data scraping
020 – Measuring instrument
019 – Financial statement analysis
013 – Exploratory data analysis
010 – Host Analytics
010 – Datameer
009 – Pentaho
007 – Alteryx
006 – TIBCO Spotfire
005 – Problem solving
005 – Data integrity
004 – Data loss
003 – Simply Measured
003 – Crimson Hexagon
002 – Qualitative research
002 – Keen IO
002 – Data validation
002 – ANOVA
001 – Standard deviation
001 – Sparkline
001 – SciPy
001 – Regression analysis
001 – Pie chart
001 – Pareto chart
001 – Missing data
001 – Histogram
001 – Descriptive statistics
001 – Data system
001 – Control chart
000 – Type I and type II errors
000 – Type 1 error
000 – Test method
000 – Table (information)
000 – T test
000 – Statistical inference
000 – Small multiple
000 – Sensitivity analysis
000 – Scatterplot
000 – Scatter plot
000 – SalesHandy
000 – rx Medical
000 – Run chart
000 – Response rate (survey)
000 – RapidMiner
000 – Randomization
000 – R (programming language)
000 – Propensity score matching
000 – Process theory
000 – Probability distribution
000 – Normal distribution
000 – Mutually exclusive events
000 – Median
000 – Line chart
000 – Lex Machina
000 – KNIME
000 – Inferential statistics
000 – Hypothesis testing
000 – Hosted Elasticsearch
000 – Generalized linear model
000 – eDiscovery Point
000 – Doing Data Science
000 – Data wrangling
000 – Data editing
000 – Data (computing)
000 – Confirmation bias
000 – Cognitive bias
000 – CloudCherry Analytics
000 – Boxplot
000 – Bar chart
000 – Area chart
000 – ANCOVA

Patents:

02710000 – Median
02300000 – Standard deviation
01740000 – Test method
00164000 – Histogram
00155000 – T test
00124000 – Measuring instrument
00106000 – ANOVA
00085900 – Data system
00080900 – Regression analysis
00073200 – Data integrity
00068600 – Data security
00067100 – Machine learning
00064200 – Data loss
00062000 – Randomization
00058200 – Probability distribution
00045400 – Normal distribution
00042600 – Problem solving
00042300 – Computer data storage
00031900 – Missing data
00029100 – Data quality
00026300 – Data integration
00026100 – Table (information)
00025500 – Bar chart
00019400 – Business intelligence
00018000 – Unstructured data
00018000 – Data validation
00017000 – Scatter plot
00015900 – Data visualization
00013900 – Sensitivity analysis
00013400 – Data (computing)
00012500 – Pie chart
00009270 – Big data
00009090 – Data editing
00007930 – Hypothesis testing
00007800 – Descriptive statistics
00005550 – Control chart
00005500 – Line chart
00004300 – Statistical inference
00004180 – Scatterplot
00003870 – ANCOVA
00003350 – Small multiple
00002880 – Predictive analytics
00001760 – Simply Measured
00001590 – Generalized linear model
00001560 – Text analytics
00001550 – Boxplot
00001240 – Type 1 error
00001060 – Qualitative research
00001010 – Exploratory data analysis
00000923 – Area chart
00000820 – Data science
00000744 – Pareto chart
00000577 – Data Visualization Software
00000569 – Process theory
00000559 – Inferential statistics
00000499 – Data scraping
00000475 – Data governance
00000405 – eDiscovery
00000395 – Type I and type II errors
00000370 – Mutually exclusive events
00000358 – Data Entry Software
00000350 – Response rate (survey)
00000336 – Run chart
00000254 – R (programming language)
00000233 – Sparkline
00000171 – Pentaho
00000145 – rx Medical
00000131 – SciPy
00000130 – TIBCO Spotfire
00000104 – RapidMiner
00000103 – Cognitive bias
00000090 – Host Analytics
00000090 – Confirmation bias
00000069 – KNIME
00000061 – Lex Machina
00000054 – Crimson Hexagon
00000050 – Datameer
00000048 – Big Data Software
00000045 – Propensity score matching
00000045 – Financial statement analysis
00000012 – Data wrangling
00000003 – Alteryx
00000000 – Social Media Marketing Software
00000000 – SalesHandy
00000000 – Keen IO
00000000 – Hosted Elasticsearch
00000000 – eDiscovery Point
00000000 – Doing Data Science
00000000 – Content Marketing Software
00000000 – CloudCherry Analytics

Books in print:

00129617 – Problem solving
00069206 – Standard deviation
00024883 – Probability distribution
00020785 – Normal distribution
00019030 – Regression analysis
00016714 – T test
00016607 – Qualitative research
00014584 – Machine learning
00010522 – Test method
00010321 – Bar chart
00009729 – Sensitivity analysis
00009434 – Business intelligence
00009274 – Descriptive statistics
00008026 – Big data
00007988 – Hypothesis testing
00007883 – Pie chart
00006190 – Data system
00006072 – Median
00005156 – Statistical inference
00005106 – Data security
00004957 – Missing data
00004841 – Data (computing)
00004818 – Scatter plot
00004628 – Histogram
00004330 – Data quality
00003630 – Control chart
00003597 – ANOVA
00003572 – Type I and type II errors
00003412 – Measuring instrument
00002472 – Line chart
00002451 – Process theory
00002420 – Data integrity
00002177 – Inferential statistics
00002131 – Confirmation bias
00002061 – Data integration
00002015 – Data visualization
00001926 – Data loss
00001769 – Generalized linear model
00001736 – Mutually exclusive events
00001528 – Financial statement analysis
00001509 – Pareto chart
00001455 – Exploratory data analysis
00001330 – Randomization
00001203 – Predictive analytics
00001186 – Data validation
00001133 – Data science
00001051 – Scatterplot
00000882 – Run chart
00000835 – Area chart
00000821 – Cognitive bias
00000759 – Unstructured data
00000683 – Boxplot
00000679 – Propensity score matching
00000491 – Type 1 error
00000377 – Data governance
00000356 – Sparkline
00000336 – Response rate (survey)
00000314 – ANCOVA
00000307 – Text analytics
00000291 – Table (information)
00000241 – eDiscovery
00000233 – R (programming language)
00000233 – Computer data storage
00000145 – Small multiple
00000142 – SciPy
00000119 – Pentaho
00000113 – Data editing
00000059 – RapidMiner
00000053 – Data Entry Software
00000052 – Simply Measured
00000036 – Data wrangling
00000035 – KNIME
00000035 – Big Data Software
00000034 – Data Visualization Software
00000031 – TIBCO Spotfire
00000022 – Crimson Hexagon
00000020 – Doing Data Science
00000019 – Data scraping
00000013 – rx Medical
00000008 – Datameer
00000007 – Social Media Marketing Software
00000007 – Lex Machina
00000005 – Keen IO
00000004 – Content Marketing Software
00000004 – Alteryx
00000003 – Host Analytics
00000000 – SalesHandy
00000000 – Hosted Elasticsearch
00000000 – eDiscovery Point
00000000 – CloudCherry Analytics

Instruction and courseware available content:

03500000 – Big data
03060000 – Data science
00920000 – Machine learning
00499000 – Problem solving
00306000 – Median
00166000 – Data system
00164000 – Business intelligence
00146000 – T test
00128000 – Predictive analytics
00115000 – Standard deviation
00109000 – ANOVA
00100000 – Histogram
00100000 – Data visualization
00084600 – Normal distribution
00062200 – Pie chart
00061000 – Hypothesis testing
00056300 – Data security
00046900 – Bar chart
00043300 – Data validation
00037900 – Regression analysis
00037400 – Data quality
00037400 – Data loss
00037100 – Data integration
00037000 – Qualitative research
00033500 – Descriptive statistics
00031300 – Probability distribution
00026900 – Randomization
00025700 – Computer data storage
00021300 – Scatter plot
00020500 – Inferential statistics
00020400 – Boxplot
00019200 – Pentaho
00019200 – Financial statement analysis
00018700 – SciPy
00017400 – Line chart
00012800 – Scatterplot
00012400 – eDiscovery
00012300 – Missing data
00011100 – Confirmation bias
00010800 – Sensitivity analysis
00010800 – Data governance
00010200 – RapidMiner
00008780 – Test method
00008600 – Text analytics
00008480 – Measuring instrument
00008400 – Unstructured data
00008000 – Content Marketing Software
00007600 – Data integrity
00007430 – R (programming language)
00007430 – Pareto chart
00006460 – Data scraping
00005840 – Mutually exclusive events
00005770 – Social Media Marketing Software
00005410 – Control chart
00005320 – Cognitive bias
00004820 – Alteryx
00004670 – Sparkline
00004530 – ANCOVA
00003940 – Statistical inference
00003470 – KNIME
00003390 – TIBCO Spotfire
00003340 – Exploratory data analysis
00002630 – Type I and type II errors
00002630 – Datameer
00002530 – Area chart
00002410 – Data Entry Software
00002170 – Process theory
00002100 – Data wrangling
00002090 – Type 1 error
00002090 – Data Visualization Software
00001780 – Data editing
00001280 – Run chart
00001080 – Propensity score matching
00001050 – Small multiple
00001040 – Generalized linear model
00001040 – Big Data Software
00000890 – Table (information)
00000847 – Data (computing)
00000746 – Host Analytics
00000704 – rx Medical
00000512 – Simply Measured
00000416 – Doing Data Science
00000340 – Crimson Hexagon
00000227 – Keen IO
00000074 – Lex Machina
00000066 – eDiscovery Point
00000060 – SalesHandy
00000041 – Hosted Elasticsearch
00000024 – CloudCherry Analytics
00000003 – Response rate (survey)


A black swan is an event, positive or negative, that is deemed improbable yet causes massive consequences. In this groundbreaking and prophetic Data analytics report, Blokdijk shows in a playful way that Black Swan Data analytics events explain almost everything about Data analytics, and yet we-especially the experts-are blind to them. In this Data analytics Predictive Analytics Report, Blokdijk offers tools to navigate and exploit a Black Swan Data analytics world.

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