[Dipleague] Dissertation/ Research & Statistical/ Data Analytics Consultancy

chinembiri24500 at alumni.itc.nl chinembiri24500 at alumni.itc.nl
Mon May 23 09:37:51 CAT 2016


Is it your wish to learn from your data?? If so, talk to your statistician and dissertation consultant early to avoid submission and /or presentation of half-backed work:
Data and geo/statistical analysis using High Resolution and high Level graphical plots for:
§  Research/ Academic work & /or Professional publications
§  Dissertations/ Research (ND, HND, BSc/Btech/BA, MSc/MA/MBA and PhDs/DBAs)
§  Workshops and conference presentations
Among the specific services offered include training&consultancy for:
1.     Geo-statistical (Spatial statistics) Analysis
§  Sampling protocol formulation & design for geo-statistical sampling
§  Variogram and autocorrelation modeling
§  Natural resource modeling for geological exploration (e.g. Au, Cu2+,Pt, Pb2+, etc)
§  Modelling of the spatial structure of a regionalized variable
§  Kriging (ordinary kriging, kriging with external drift, disjunctive kriging, regression kriging etc)
§  Spatial prediction/ interpolation, exploratory data analysis and interpretation
2.     Quantitative interpretation of qualitative data
§  Qualitative data conversion from questionnaire/ interview guides to graphical and statistical plots
§  Graphical exploratory analysis and display of qualitative, categorical , ordered categorical and demographic data
§  Capturing, reading and exportation of data from spreadsheets to the R statistical and computing environment
§  Categorical variable data storage and database build-up using the R statistical and computing environment
3.     Classical (traditional) statistical Data Analysis- parametric and Non-parametric
§  The Frequentist and Bayesian paradigms to data handling and processing
§  Sampling theory and practice
§  Questionnaire design and data pre-processing & statistical analysis
§  Exploratory data analysis/ display
§  Inferential statistics, interpretation and scientific reporting
§  Multiple linear (Regression) and Analysis of Variance (ANOVA)
§  Detailed analysis, with state of the art graphics, tabulations and displays
§  Hypothesis formulation, testing and validation
4.     Geographic information systems (GIS)
§  Spatial data handling, processing and manipulation
§  Spatial data display, modeling and analysis using 3-D geo-browsers.
§  Vector and raster data creation, processing
§  Geo-referencing and digitization of raster data (i.e., satellite imagery, topographic maps and aerial photos)
§  Geo-processing geo-database modelling
NB: For more details,
Contact:   +263 776 016 883
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