Postgraduate certificate Software for Statistics

The use of statistical software has become indispensable in numerous fields, from engineering to medicine to finance. The use of statistical tools enables engineers to perform in-depth analysis of large amounts of data and gain valuable insights into system performance and energy efficiency, resulting in improved quality and increased customer satisfaction. This Postgraduate Certificate is designed to provide professionals with the necessary skills and knowledge to handle statistical software effectively and efficiently. In addition, the program is developed in 100% online format and uses the Relearning methodology, which allows students to study at their own pace and adapt to their busy schedules.

University certificate

duration

12 weeks

Modality

Online

Schedule

At your own pace

Exams

Online

start date

Credits

12 ECTS

financing up to

3 months

Price(first year)

See price

The world's largest faculty of engineering”

Introduction to the Program

Do you want to specialize in functions, graphics, packages and statistics in SPSS and don't have time to go to an on-site center? TECH makes it possible to train completely online”

Engineers are professionals who handle large amounts of data. Thus, the in-depth handling of the Statistics Software will allow you to perform a deep and detailed analysis of these data, which will enable you to obtain valuable information about system performance, energy efficiency and other important aspects of your work. As a result, more and more companies are looking for engineers with high loop and vectorization skills engineers with high skills in loop handling and vectorization.

This undergraduate program is designed to provide engineers with the skills and knowledge necessary to operate statistical software effectively and efficiently. The course syllabus includes topics such as descriptive statistics, regression analysis, multivariate analysis and time series models, among others. In addition, emphasis is placed on the use of specialized software tools, such as SPSS, for advanced statistical analysis. Students will learn to handle these tools effectively and to interpret the results obtained for application in their field of work.

It is important to note that the program is developed in a 100% online format that allows students to study at their own pace and adapt to their busy schedules. In addition, it is taught under the effective Relearning methodology, which consists of the reiteration of the fundamental concepts throughout the syllabus so that the graduate will integrate solid knowledge without having to make the effort of memorizing.

A program with which you will acquire a comprehensive mastery of the SPSS environment typical of the best experts”

This Postgraduate certificate in Software for Statistics contains the most complete and up-to-date program on the market. The most important features include:

The development of case studies presented by experts in Applied Statistics
The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
Practical exercises where the self-assessment process can be carried out to improve learning
Its special emphasis on innovative methodologies
Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection work
Content that is accessible from any fixed or portable device with an Internet connection

In the Online Campus you will find 300 hours of diverse content that you can access from wherever and whenever you want, through any device with an internet connection”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. This will be done with the help of an innovative system of interactive videos made by renowned experts.

Without schedules or on-site classes, you will work on perfecting your skills in a comprehensive way through a degree that adapts to you and your availability”

You will deepen your knowledge of operations with objects and learn how to access their values by means of the indexing system”

Syllabus

The creation of the curriculum for this program has been carried out by a team of experts in the area of Engineering, more specifically in Applied Statistics. As a result, TECH has put together a comprehensive and intensive program that covers the information needed to master this discipline in 12 weeks of training. In addition to the very complete syllabus, they have selected hours of diverse additional materials, with which the graduate can work in a personalized way according to his or her level of demand. All this presented in a convenient, 100%-online program with complete accessibility from any device with an Internet connection.

Don't waste time memorizing. Thanks to the use of the Relearning methodology in the development of this program, you will assist to an effective, natural and progressive learning”

Module 1. Statistical Software I

1.1. Introduction to the SPSS Environment

1.1.1. How SPSS Works
1.1.2. Creating, Listing and Removing Objects in Memory

1.2. Consoles in SPSS

1.2.1. Console Environments in SPSS
1.2.2. Main Controls

1.3. Script Mode in SPSS

1.3.1. Script Environments
1.3.2. Main Commands

1.4. Objects in SPSS

1.4.1. Objects
1.4.2. Reading Data From a File
1.4.1. Saving Data
1.4.4. Generating Data

1.5. Execution Flow Control Structures

1.5.1. Conditional Structures
1.5.2. Repetitive/Iterative Structures
1.5.3. Vectors and Arrays

1.6. Operations with Objects

1.6.1. Creation of Objects
1.6.2. Converting Objects
1.6.3. Operators
1.6.4. How to Access the Values of an Object: the Indexing System
1.6.5. Accessing an Object's Values with Names
1.6.6. The Data Editor
1.6.7. Simple Arithmetic Functions
1.6.8. Calculations With Arrays

1.7. SPSS Functions

1.7.1. Loops and Vectorization
1.7.2. Creating Your Own Functions

1.8. Graphics in SPSS

1.8.1. Handling Graphics

1.8.1.1. Opening Multiple Graphics Devices
1.8.1.2. Graph Layouts

1.8.2. Graphical Functions
1.8.3. Graph Parameters

1.9. SPSS Packages

1.9.1. SPSS Libraries
1.9.2. SPSS Packages

1.10. SPSS Statistics

1.10.1. A Simple Example of Analysis of Variance
1.10.2. Formulas
1.10.3. Generic Functions

Module 2. Statistical Software II

2.1. Introduction to the R Environment

2.1.1. How R Works
2.1.2. Creating, Listing and Removing Objects in Memory

2.2. Console in R

2.2.1. Console Environment in R
2.2.2. Main Controls

2.3. Script Mode in R

2.3.1. Console Environment in R
2.3.2. Main Commands

2.4. Objects in R

2.2.1. Objects
2.2.2. Reading Data From a File
2.2.3. Saving Data
2.2.4. Generating Data

2.5. Execution Flow Control Structures

2.5.1. Conditional Structures
2.5.2. Repetitive/Iterative Structures
2.5.3. Vectors and Arrays

2.6. Operations with Objects

2.6.1. Creation of Objects
2.6.2. Converting Objects
2.6.3. Operators
2.6.4. How to Access the Values of an Object: the Indexing System
2.6.5. Accessing an Object's Values with Names
2.6.6. The Data Editor
2.6.7. Simple Arithmetic Functions
2.6.8. Calculations With Arrays

2.7. Functions in R

2.7.1. Loops and Vectorization
2.7.2. Writing a Program in R
2.7.3. Creating Your Own Functions

2.8. Graphics in R

2.8.1. Handling Graphics

2.8.1.1. Opening Multiple Graphics Devices
2.8.1.2. Graph Layouts

2.8.2. Graphical Functions
2.8.3. Low-Level Graphing Commands
2.8.4. Graph Parameters
2.8.5. The Grid and Lattice Packages

2.9. R Packages

2.9.1. R Library
2.9.2. R Packages

2.10. Statistics in R

2.10.1. A Simple Example of Analysis of Variance
2.10.2. Formulas
2.10.3. Generic Functions

You will be able to implement in your professional practice the most innovative and technical IT strategies for the development of state-of-the-art statistical software of the highest quality level”

Postgraduate Certificate in Software for Statistics

Name: Software for Statistics
Availability: InStock

Software for statistics is a computer program that allows complex statistical analyses to be performed quickly and efficiently. There are several software languages and tools for statistics, including R, Python, SAS, SPSS and Matlab. At TECH Global University we have this specialized program designed to provide knowledge and skills in software structure and how the different components relate to each other.

Software development for statistics is a complex process that requires advanced knowledge of statistics and programming. Developers must follow a structured process that includes requirements analysis, architecture design, programming, verification and validation, documentation and distribution, and must have expertise in project-specific tools and programming languages. In our Postgraduate Certificate you will learn the practical management of the use of statistical software, including its application in specific areas. Likewise, you will delve into topics such as the study of tools and techniques for big data analysis, including parallel and distributed programming, databases and data visualization tools. It is an excellent choice for those who wish to acquire specialized skills and develop a successful career in this field.