Data Management and Analysis Using SPSS Short Course

  • Zambia
  • Salary: -
  • January 25, 2021

Keno Institute

Data Management and Analysis Using SPSS Short Course – 25th January to 4th February, 2021.

Our Leading Data Analytics Consultants will be at it yet again, delivering a top-notch SPSS training through 10 guided 2- hour Zoom Sessions from 25th January to 4th February 2021.

Overview

SPSS is a widely used program for statistical analysis in social science. SPSS is a powerful suite of data analytics, reporting and modeling software. It is the data analytics software package of choice for people who need to analyze large amounts of quantitative data and is used as standard by a wide range of users who need to carry out statistical analysis of that data quickly and accurately such as market researchers, health researchers, survey companies, government, education researchers, marketing organizations and data miners. The course is led by highly experienced trainers with many years of experience and involves working on a few practical, hands on examples and exercises in a workshop environment.

Benefits:

  • 8-10 guided 2-hour sessions with the course facilitator (starting @ 6:30 PM).
  • Certificates to be issued and delivered upon successful completion of the training.
  • Training will be highly guided by your own needs and expectations.
  • Rare opportunity to learn from a Senior Data Analytics Experts
  • Position yourself for the next big step in your career.
  • Training sessions will be recorded.

Training Fee: ZMK 1,600

Virtual: 2 Weeks (18:30 -20:30 Hrs.)

Days: Monday – Thursday

Time: 18:30 – 20:00 (Live Zoom Sessions). A link will be provided for downloading materials for each session.

Learning Objectives

By the end of the training, you will be able to:

  • Understand both descriptive and inferential statistics.
  • Understand various data collection techniques and data processing methods.
  • Use basic functions and navigation within SPSS.
  • Create and manipulate graphs and figures in SPSS.
  • Use SPSS effectively for manipulating and analyzing data.
  • Keep records of your work and create reproducible analyses.
  • Export the results of your analyses.

Course Content

  • Introduction to Statistical Concepts
  • Concepts for Data Collection and Processing
  • Data Structures and Types of Variables
  • Data Management, storage types & measures
  • Creating & Editing quantitative & categorical graphs/charts
  • Advanced data tabulation
  • Point estimation & hypotheses testing
  • Inferential analysis & Time series
  • Regression analysis

Course Outcome  

  • To be able to perform a wide range of data management tasks in SPSS application.
  • Understand the basic workings of SPSS and perform basic statistical analyses.
  • To perform database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations.
  • To perform data checking and create simple tables and charts.
  • To perform advanced analysis in SPSS
  • Participants will be able to understand questionnaire, concept of data processing and sampling design.
  • Participants will be able to use the knowledge and skills gained from the training course for their future research work.
  • Participants will be able to understand data analysis in SPSS that is commonly encountered in data analysis and will be able to interpret and report the results.

Participants:

This training targets research analysts, Data collectors, program staff, academia, students, and research consultants responsible for undertaking research related assignments.

Registration:

All payments should be made using the link below:

If you are unable to pay using the online methods listed above please, contact Keno Institute for alternative methods of payment.

Registration: Interested participants should click on the link below https://kenoinstitute.org/register/ and send a copy of the proof of payment, full details (Full Name, Address, Email Address, contact Number) to [email protected] / [email protected]

Contact line: +260770346838 / +260761685388