FineResults Research Services invites you to training on:
DATE: 15th to 19th February 2021
COST: USD 800 Or Ksh 65000
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.
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.
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
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
How to consolidate worksheet data
Importing/Exporting data in/from Excel
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 Sparklines in Excel to graph data in cells.
Measures of Variability and Central Tendency
Describing quantitative data
Describing qualitative data
Graphing quantitative data
Graphing qualitative data
Module 2: Correlation, Chi-square and mean comparison analysis
Scatterplots of Data by Subgroups
Goodness of Fit Chi Square All Categories Equal
Goodness of Fit Chi Square Categories Unequal
Chi Square for Contingency Tables
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
Date and Time Functions
Lookup and Reference Functions
Math and Trig Functions
Module 4: Data Analysis (continued)
Analysis of Covariance
Module 5: Analysing Data in Time and Forecasting
Analysing Data in Time
Linear, Logarithmic, Polynomial, Power, Exponential, Moving Average Smoothing
Seasonal fluctuations analysis
This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: +254 759 285 295. You can also email us on: [email protected]
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 759 285 295 or Email: [email protected]
Payment should be transferred to FineResults Research Services bank account before commencement of training. Send proof of payment through the email: [email protected]
ENGAGE WITH US ON
Visit our face book page
Visit our linkedin page
Visit our twitter account