postgraduate certificate Data Analysis Graphical Representation in Data Science

Companies generate a large amount of data, which increases exponentially every year. As a result, it is difficult to analyze and visualize it all correctly. That is why computer engineers must be familiar with the different tools and techniques used to more efficiently analyze and interpret data. This program will lay the foundations to represent and interpret this information.

University certificate

duration

6 weeks

Modality

Online

Schedule

At your own pace

Exams

Online

start date

Credits

6 ECTS

financing up to

3 months

Price

The world's largest faculty of information technology”

Description

Launch the main phases in data science processes: graphical representation for exploratory analysis”

This postgraduate certificate will analyze the theoretical bases that help computer engineers to make the most appropriate graphical representations when using Data Science as an analytical technique. Therefore, special emphasis will be placed on the correct way to represent and interpret data in order to identify past errors or inefficient tactics to anticipate the future.

The entire program is composed of a series of case studies that will favor the learning of students who seek to further advance their professional careers and challenge themselves to achieve excellence. Consequently, it will present a series of cases that will illustrate new technologies for data visualization, such as intelligent systems or reality visualization systems.

All this will be feasible thanks to a 100% online program, which adapts to the daily needs of its students. You will only need a device with an Internet connection to start developing a complete professional profile with international projection.

All the subjects and areas of knowledge have been compiled in a complete and absolutely up to date syllabus, in order to bring the student to the highest theoretical and practical level"

This postgraduate certificate in Data Analysis Graphical Representation in Data Science contains the most complete and up to date academic program on the market. The most important features of the program include:

Practical cases studies are presented by experts in Engineering in data analysis
The graphic, schematic, and eminently practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
Practical exercises where self assessment can be used to improve learning
Its special emphasis on innovative methodologies
Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
Content that is accessible from any fixed or portable device with an Internet connection

Learn statistical, quantitative and technical knowledge in real situations through a 100% online program”

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.

The 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 immersive training programmed to train in real situations.

This program is designed around Problem Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative, interactive video system created by renowned and experienced experts.

Tackle the different types of data, the most useful representations and the different data representation programs"

Analyze the different software tools for graphing and exploratory data analysis"

Objectives

The knowledge provided on this program will help computer engineers deal with the different types of data, the most useful representations and the different data representation programs, consolidating themselves as an agent of change ready to offer new proposals. To that end, TECH has established the following general and specific objectives:

Determine the correct way to represent data to facilitate action plans that will improve company management”

General Objectives

Analyze the benefits of applying data analytic techniques in every company department
Develop the basis for understanding the needs and applications of each department
Generate specialized knowledge to select the right tool
Propose techniques and objectives in order to be as productive as possible according to the department

Specific Objectives

Generate specialized knowledge in data analysis and representation
Examine the different types of grouped data
Establish the most used graphic representations in different fields
Determine the design principles in data visualization
Introduce graphic narrative as a tool
Analyze the different software tools for graphing and exploratory data analysis

Turn this program into your best academic investment and learn how to represent and interpret Dataset information”

Postgraduate Certificate in Graphical Representation for Data Analysis in Data Science.

Nowadays, data analysis has become a fundamental tool for decision making in companies. However, the simple fact of having a large amount of data does not guarantee success in business management. It is necessary to know how to represent and analyze the information in an effective way, to obtain conclusions and results that allow improving performance and competitiveness. For this reason, the Postgraduate Certificate in Graphical Representation for Data Analysis in Data Science is a unique opportunity to expand and update knowledge in this field. Through this program, computer engineers will be able to acquire the necessary knowledge to represent data graphically and analyze it efficiently, which will allow them to make better decisions and improve the company's performance.

Training for high-level computer scientists

Data visualization is a key aspect of information interpretation and analysis. Through graphs and visual representations, patterns and trends that are not detectable to the naked eye can be identified. This allows for a better understanding of the data and more accurate conclusions, which translates into a competitive advantage for the company. With this Postgraduate Certificate, computer engineers will be able to acquire knowledge about the different techniques of graphical representation of data, as well as the use of specialized computer tools in this field. All this, with the aim of improving efficiency in information analysis and decision making.

In conclusion, the Postgraduate Certificate in Graphical Representation for Data Analysis in Data Science is an opportunity to expand and update knowledge in this field, and to acquire the necessary skills to represent and interpret information efficiently. This will allow computer engineers to improve the competitiveness of the company and make better decisions, which will result in greater business success.