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Business Data Analytics Using R

By: UrBizEdge

Lagos State, Nigeria

18 - 20 Feb, 2016  3 days

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NGN 100,000

In an ever increasingly challenging business world companies look to data to provide the edge required for operational superiority. Data Analytics not only provides a comprehensive view of the past but also a strong indication of what is in store for the future. Extracting these insights from data and formulating a robust business case to aid management make informed decisions is now the primary challenge for most organizations.

This training course focuses on developing an Analytical thinking process and equips participants with the necessary skills required to perform Data Analytics using a platform (R) that is open source and is supported by other Advanced Analytics and Business Intelligence platforms.

This training course is delivered through actual hands-on practice of data analytics in R. Each participant will conduct their own analysis using sets of data provided for the training. The end goal of the training is to give participants a practitioner’s view of Data Analytics by blending Analytical thinking, Statistics, and R skills with emphasis on understanding Analytics, Learning R and understanding how analytics could influence management decisions

Target Participants

Data Analysts, Hands-on Managers, Data Enthusiasts, BI Analysts and Research Analysts

Day 1

  • Introduction to Data
  • What is Data?
  • Data structure
  • Data Gathering
  • Data Storage
  • Introduction to Business Analytics
  • Analytical Thinking
  • Understanding Data
  • Analytical Processes
  • Introduction to R
  • About R
  • Installing and Running R
  • R GUIs and Auditors
  • Getting Help
  • Data Manipulation in R
  • R Operators
  • Basic Calculations
  • Data Structures
  • Vectors
  • Lists
  • Matrix
  • Data Frames
  • Introduction to Functions in R
  • Creating Functions in R
  • Reading and Writing Files in R

Day 2

  • Data Analytics in R
  • Defining Statistical Models
  • Formulae Construction
  • Generic Functions
  • Descriptive Modeling
  • Predictive Modeling
  • Graphical Procedures
  • Graphical Functions
  • Basic Plotting
  • Graphics Manipulation

Day 3

  • R Programming / Scripting
  • Designing an Analytical Process for R
  • Creating Analytical Solutions in R
  • Deploying Analytical Solutions with


The only requirement is to come with your Laptop. We will teach you and help you install R during the training

Kristina Jade Learning Center, 70b Olorunlogbon street, Off Alade Lawal street, Anthony Village, Lagos. Feb 18 - 20 Feb, 2016
NGN 100,000.00((Already discounted 50% from original of N150,000)Payment should be made to FCMB 2888666014 Urbizedge Limited)
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Evans Otalor: Evans is currently the Analytics Manager at Ingress Solutions. He is an experienced analytics professional with demonstrated track record successfully structuring and managing analytics projects for Banks, TELCOs, and FMCGs both locally and internationally. Evans holds a BSc. in Mathematics and Statistics and an MSc. In Financial Mathematics and Actuarial Science. He is highly skilled in the application of Mathematical and Statistical methods to collect, organize, interpret, and summarize data for quantitative modelling projects that include both Data Analysis and Predictive Modelling to aid insight extraction, Risk Disclosure, Reporting, Measuring, Monitoring, and Predicting. Highly experienced user of multiple platforms that include: R, Microsoft Applications (Including MS Excel, Data Mining Add-in, PowerBI, and PowerPivot), SPSS Modeler, Alteryx, Knime, Spotfire, Tableau, and various Data Analytics and Visualization tools.