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c.m.s webdeveloper/Online marketing SEO Writer,PR Writer, Web content Writer, Blogger, Article Writer and Product reviiews
Laguna Niguel
web designer,copywriter,article writer,content writer,virtual assistant,data entry,Database designer,
Nairobi
116477116712155028455402456405525562630260715376728633752578765805773458
Description
Experience Level: Entry
Kind of writing: Technology
Num. of articles: 1
Words per article: 300-500
Industry: Technology
Topic: big data, databases, big data analytics, data mining
Tone: Instructional/Educational
Outline & Structure: review articles about data tools and scripts
Extensive research needed: yes
Extra notes:
A data analyst loves working with data, numerical problems to find relationships and build different models to improve forecasting or improve understanding about customer data.
I need a article like "top 100 data scientist tools" which will be an review article using the link below and my own list.
but the format of the article will be like this - http://www.smashingmagazine.com/2008/09/24/drupal-developers-toolbox/
use this list
http://www.datasciencecentral.com/profiles/blogs/data-scientist-core-skills
I also have another list to add to the reviews.
the review of each tool will be an couple of sentences long..
more tools-
MATLAB
Simulink
Maple
MapleSim
Mathematica
Precision
Leonardo
Incisive/ModelSim
ISE/PlanAhead/Vivado
Quartus II
SAS, R, SQL, Excel, predictive analysis. I used different models and techniques to segment, cluster and analyse the data: ANOVA, Chi-Square, linear regression, classification and clustering model, bivariate and multivariate analysis. statistical modeling in Forecasting/Predictive Analytics, Segmentation Methodologies, Regression Based Models, Hypothesis Testing, Factor Analysis/PCA, Conjoint Analysis, Scorecard Modeling, Bivariate Analysis: Chi-square Test, Continuity Correction Test, Odds Ratio, Relative Risk, Correlation , Regression, Man Whitney U Test, Fisher Exact Test, T-test, Anovas
Multivariate Analysis: Multiple Correlation, Multiple Regression (Linear, Binary, Multinomial, Probit, Ordinal, Cox Regression), Multilevel Analysis, Factor Analysis, Life Table Analysis, Artificial Intelligence (Neural Networks, Genetic Algorithm, etc
R / Statistics / library / Big Data, R programming,
lot of statistics software and programming: R, STATA, SPSS, R and excel. SAS, Minitab, Eviews, Xlstat,
Bayesian Statistics.
VAR Model, Unit Root testing, Co-integration testing, Bayesian Model ,ARCH, GARCH, ARMA, ARIMA, ANOVA , Statistical Analysis, Questionnaire analysis, Qualitative Data Analysis, Data Analysis,LaTeX.
http://www.nngroup.com/articles/how-users-read-on-the-web/
http://www.problogdesign.com/blog-usability/30-ways-to-improve-readability/
Num. of articles: 1
Words per article: 300-500
Industry: Technology
Topic: big data, databases, big data analytics, data mining
Tone: Instructional/Educational
Outline & Structure: review articles about data tools and scripts
Extensive research needed: yes
Extra notes:
A data analyst loves working with data, numerical problems to find relationships and build different models to improve forecasting or improve understanding about customer data.
I need a article like "top 100 data scientist tools" which will be an review article using the link below and my own list.
but the format of the article will be like this - http://www.smashingmagazine.com/2008/09/24/drupal-developers-toolbox/
use this list
http://www.datasciencecentral.com/profiles/blogs/data-scientist-core-skills
I also have another list to add to the reviews.
the review of each tool will be an couple of sentences long..
more tools-
MATLAB
Simulink
Maple
MapleSim
Mathematica
Precision
Leonardo
Incisive/ModelSim
ISE/PlanAhead/Vivado
Quartus II
SAS, R, SQL, Excel, predictive analysis. I used different models and techniques to segment, cluster and analyse the data: ANOVA, Chi-Square, linear regression, classification and clustering model, bivariate and multivariate analysis. statistical modeling in Forecasting/Predictive Analytics, Segmentation Methodologies, Regression Based Models, Hypothesis Testing, Factor Analysis/PCA, Conjoint Analysis, Scorecard Modeling, Bivariate Analysis: Chi-square Test, Continuity Correction Test, Odds Ratio, Relative Risk, Correlation , Regression, Man Whitney U Test, Fisher Exact Test, T-test, Anovas
Multivariate Analysis: Multiple Correlation, Multiple Regression (Linear, Binary, Multinomial, Probit, Ordinal, Cox Regression), Multilevel Analysis, Factor Analysis, Life Table Analysis, Artificial Intelligence (Neural Networks, Genetic Algorithm, etc
R / Statistics / library / Big Data, R programming,
lot of statistics software and programming: R, STATA, SPSS, R and excel. SAS, Minitab, Eviews, Xlstat,
Bayesian Statistics.
VAR Model, Unit Root testing, Co-integration testing, Bayesian Model ,ARCH, GARCH, ARMA, ARIMA, ANOVA , Statistical Analysis, Questionnaire analysis, Qualitative Data Analysis, Data Analysis,LaTeX.
http://www.nngroup.com/articles/how-users-read-on-the-web/
http://www.problogdesign.com/blog-usability/30-ways-to-improve-readability/
Voltaire F.
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Last project
14 May 2024
United States
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