Min menu


Free online course statistical data analysis using SPSS

statistical data analysis using SPSS
statistical data analysis using SPSS

Free online course statistical data analysis using SPSS

Statistics and data analysis was and still is one of the basic pillars in making decisions of various kinds and at various individual and institutional levels, and one of the pivotal tools in the academic research field on which the outcome and decision are based, and with the increasing interest in the field of data science in our current era it has become What is important for each academic or professional individual is familiarity with the basic concepts in statistics in order to properly employ and use them in various sectors and specialties. This series of lectures provided by the Statistical and Economic Academic Services Corporation aims to present the basic concepts in statistics and data analysis by using the statistical analysis program "SPSS", which is one of the most famous and popular statistical software in the Arab world in the field of data analysis.

This course will be filled with practical examples and interactive exercises that will consolidate and clarify theoretical concepts.

Join now and let your journey in the world of data analysis start here!

Course contents:

This course consists of two consecutive, integrated parts, spread over four weeks
The first section: Establishing basic concepts and ideas in statistics and statistical analysis.
The second section: practical application to the SPSS program for calculating statistical indicators and their tests.
The course lectures during its four weeks include the following:

1. The first week: introduction and introduction

We will answer a set of questions, including:
What is statistics? Why do we have to know and learn it?
Do we use statistics in our daily personal life?
Do we use statistics in our academic studies?
Do we use statistics in our professional fields of work?
In it, we will learn together the definition of statistics, its importance, and its use at the individual and institutional levels, as well as many other knowledge and information about statistics.
We will learn together the following topics:
The difference between descriptive statistics and applied statistics
Data and its relationship to statistics.
Different data types.

 2. The second week: data and methods of collecting them

In this lecture, you will be introduced to a wide range of methods and methods of data collection with examples and practical cases that include an explanation of the most important correct practices for accurate data collection and the most common errors in data collection
The following topics will be covered:
What should we do before collecting data?
Data Collection Methods / Comprehensive Inventory, Sample /
Types of random and non-random samples
Sources of data collection and comparison between them
The most important tools and methods of data collection in the practical and academic fields

3. The third week: the SPSS program

 We start working on the program in its 25th version and learn about how to install, define variables and enter data through the program
The following topics will be covered:
Why SPSS? Its pros and cons
Install the program on the computer
Program destinations and lists
Define variables
Data Entry
 What do we do after entering the data? :
In this lecture, we will start with the descriptive statistical analysis and its practical steps with practical examples and many practical cases.
The following topics will be covered:
Calculation of descriptive statistical indicators
Percentage and Percentage Corrected
Measures of central tendency
Dispersion measures
Junction tables

4. The fourth week: a comprehensive case of operation

We conclude the course with a comprehensive applied example of all the above ideas and concepts to consolidate and re-explain.
The segment benefiting from the course
Academic students in postgraduate studies in various scientific research specialties
Students in the fields of (statistics, economics, administration, finance, medical sciences, etc.)
Workers in technical statistical fields and scientific research.
Generally interested in statistics, data analysis and use of various disciplines

Course entry requirements:

The given scientific material is characterized by being smooth and intellectually connected. Therefore: The subject requires continuous follow-up during the lectures first by first to prevent accumulation, the ability to reach the highest possible benefit, the ability to pass the test and solve periodic interactive problems within the course.
In addition to a computer with simple specifications and at a beginner level in the English language.
Most importantly, always a passion for learning



Post a Comment
  1. فيهو شهادة؟ و ممكن تتوثق؟

  2. اين يمكن ان اتلقي هذه الدوره ومتي ؟


Post a Comment