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Training services

We offer a variety of standard training and workshop packages, as well as customized services to meet your specific requirements. Experienced statistical consultants and editors provide training on a variety of topics.

R training

Biostatseasy provides in-depth knowledge of R programming and how to set up the R environment. Understand the concept of data reshaping and regression in R. Learn how to name, access, and manipulate the list elements.

R Programming Training Course Outline

  • Introduction to R
    • Evolution of R
    • Characteristics of R
    • Environment Setup of R
    • Basic Syntax of R
  • Data Types
    • Vectors
    • Lists
    • Matrices and Arrays
    • Factors and Data Frames
  • R Variables and Operators
  • Decision Making
  • Basics of Loops
    • Repeat Loop
    • While Loop
    • For Loop
    • Loop Control Statements
  • Function, Strings and Vectors
  • Introduction to R Lists
    • Creating List
    • Naming, Accessing and Manipulating List Elements
    • Merging Lists
    • Convert Lists to Vector
  • Matrices and Arrays
  • Overview of R Factors, Data Frames and Packages
  • R Data Reshaping
  • R Data Reshaping
  • Working with Data in R
  • Introduction to Databases
  • Charts and Graphs in R
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Microsoft Excel training

Excel is the most powerful tool for managing and analyzing different types of data. This Microsoft Excel tutorial for beginners includes in-depth lessons on Excel learning as well as how to use various Excel formulas, tables, and charts to manage small to large-scale business processes. This Excel for Beginners course will teach you the fundamentals of Excel.

Microsoft Excel Training Course Outline

  • Introduction to Microsoft Excel
    • Working with cell ranges—navigating and selecting cells with the mouse and keyboard
    • Entering and editing data and employing AutoFill to enter data
    • Inserting and deleting rows, columns, or cells.
    • Adjusting column width and row height
    • Manipulating data with cut, copy, paste, with the clipboard, or dragging the mouse
    • Leveraging multiple worksheets
  • Formulas and Functions
    • Writing simple formulas
    • Exploring audit tools to examine and evaluate formulas
    • Referencing cells in formulas using relative and absolute references
    • Configuring cells for the number format and alignment
    • Constructing common functions with the aid of the function wizard and the Formula tab
    • Implementing names in formulas and functions
  • Worksheet Formatting and Presentation
    • Setting up initial cell formatting
    • Drawing attention to data with formatting
    • Working with templates - Protecting cell ranges and worksheets
    • Analyzing data with conditional formatting
  • Sorting, Selecting and Subtotaling data
    • Subtotaling a Filtered list with the subtotal command
    • Implementing Tables and Table Formulas
    • Subtotaling a table with the Total Row
    • Filtering Tables with Slicers
  • Present Data Visually
    • Leveraging charts to create a visual presentation
    • Creating charts using wizards
    • Adjusting chart settings, including titles, labels, and chart types
    • Working with Views of the spreadsheet
    • Setting up your workbook for printing
  • Introducing Advanced Features
    • Implementing dates
    • Summarizing data from other worksheets with 3-D formulas
    • Designing IF functions and conditional formatting
    • Analyzing summary data with Pivot tables and slicers

SPSS training

A solid understanding of SPSS as a data management and analysis tool is extremely beneficial to researchers. This course introduces you to a variety of advanced statistical modeling techniques within SPSS Statistics, as well as when and how to use them.

SPSS Training Course Outline

  • Introduction to SPSS
    • Statistics program
    • Modeller program
    • Text Analytics for Surveys Program
    • Visualization Designer
    • Features of SPSS
    • Statistical Methods of SPSS
    • SPSS Installation Guide
    • Working with Dates and Times in SPSS
  • Working with Variables
    • Computing Variables
    • Recoding (Transforming) Variables
    • Rank Cases
    • Data Management
  • Visualisations
    • Chart Builder
    • Graph Board Template Chooser
    • Lagacy plots
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Other courses:

Introduction to Python

Data science with Python

Foundation statistics using Microsoft Excel

Introduction to SQL

Multivariate statistics

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