Organization Name / Organize By
fineresultsresearch
Organizing/Related Departments
fineresultsresearch.org
Organization Type
Organization
WorkshopCategory
Both (Technical & Non Technical)
WorkshopLevel
All (State/Province/Region, National & International)
Related Industries
Education/Teaching/Training/Development
Research/Science
Business Development
COURSE TITLE: Statistical Data Analysis using Microsoft Excel
Dates and registration links
23/01/2023 to 27/01/2023: https://bit.ly/3DJVRuk
24/04/2023 to 28/04/2023: https://bit.ly/3fkRFHV
07/08/2023 to 11/08/2023: https://bit.ly/3sDaKs1
20/11/2023 to 24/11/2023: https://bit.ly/3FreSmo
INTRODUCTION
Microsoft Excel is a very powerful tool for statistical data analysis. In fact there are numerous instances when a data analyst does not require to use other specialized data analysis software such as SPSS, Stata, R, etc, as long as they have access to Microsoft Office Excel. This course will help improve participants' familiarity with Excel statistical functions and hence achieve great effectiveness and efficiency in research. The course describes how to use the Analysis ToolPack in Microsoft Excel, numerous statistical functions and data management techniques as applicable in most research endevours. An explanation of Excel limitation and how to overcome them will also be provided. Keen attention would be made in guiding participants on how to present results from Microsoft Excel data analysis as well as writing research reports.
DURATION
5 Days
COURSE OBJECTIVES
By the end of this training, participants will become knowledgeable in the following:
- Data management techniques using Microsoft Excel
- Descriptive statistics and methods of results interpretation and presentation.
- Multivariate methods of data analysis and subsequent methods of results interpretation and presentation.
- Selection of appropriate statistical model.
- How to present/communicate data analysis results.
Course Outline
Module 1:
Data management in Microsoft Excel
- Computing new variable information
- Protecting data in Microsoft Excel
- Generating variables through calculations
- How to remove unwanted characters in data
- How to compare data
- Finding and searching data in Excel
- Substituting and replacing data in Excel
- Outlining Data
- Sorting data
- Formatting text data into columns
- Cleaning of data using flash fill
- Detecting and removing duplicate data
- Selecting data that meets a certain criteria
Preparing data for analysis
- How to Create a Structured Reference Table
- Conditional formatting
- What-If Analysis
- Data Validation
- How to consolidate worksheet data
- Importing/Exporting data in/from Excel
- Pivot tables
- Using Excel data form to add, edit and delete records (rows) and display only those records that meet certain criteria.
- Using macros to automate Excel data management tasks
- Using Sparkline’s in Excel to graph data in cells.
Descriptive Statistics
Measures of Variability and Central Tendency
- Describing quantitative data
- Describing qualitative data
Excel Graphics
- Graphing quantitative data
- Graphing qualitative data
Module 2: Correlation, Chi-square and mean comparison analysis
Correlation
- Correlation
- Subgroup Correlations
- Scatterplots of Data by Subgroups
- Overlay Scatterplots
Chi-Square
- Goodness of Fit Chi Square All Categories Equal
- Goodness of Fit Chi Square Categories Unequal
- Chi Square for Contingency Tables
Comparing Means
- Confidence Interval for the Mean
- Test of Hypothesis Concerning the Population Mean
- Difference Between Mean of Two Populations
- One Sample t-tests
- Paired Sample t-tests
- Independent Samples t-tests
- Comparing Means Using One-Way ANOVA
Module 3: Important Excel functions
- Text Functions
- Logical Functions
- Information Functions
- Date and Time Functions
- Lookup and Reference Functions
- Math and Trig Functions
- Statistical Functions
- Other Functions
Module 4: Data Analysis (continued)
- Normal Distribution
- Regression Analysis
- Analysis of Covariance
Module 5: Analysing Data in Time and Forecasting
Analysing Data in Time
- Trends/Regression line
- Linear, Logarithmic, Polynomial, Power, Exponential, Moving Average Smoothing
- Seasonal fluctuations analysis
Forecasting
Registration Fees
Available
Registration Fees Details
USD 900
Registration Ways
Email
Phone
Website