Description

Analyze the benefits of using data analytic techniques in every company department” 

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The purpose of this program is to train computer engineers in the analyses performed in each company department so they can identify the most important needs and applications in each case. In this way, specialized knowledge will be acquired in order to choose an appropriate methodology. This is crucial if we take into account the enormous amount of data generated in companies on a daily basis. 

In view of the above, it is essential to have professionals who are familiar with current problems and can study viable solutions. There are different techniques and software tools thanks to which data can be analyzed and interpreted in a much more efficient way. With these tools, companies, analysts and scientists can understand and interpret data correctly. 

Each module contained in this postgraduate diploma will review the fundamental aspects that computer engineers interested in this field need to know, which will allow them to develop the theoretical bases to produce the most appropriate graphical representations when using data science techniques. It also analyzes models that present greater versatility and adaptation for the analysis of time series, such as the models associated to economic series. 

Furthermore, it is a 100% online postgraduate diploma that provides students with comfortable study and ease, wherever and whenever they want it. All you need is a device with Internet access to take your career one step further. A modality in accord with the current times and all the guarantees to position engineers in a highly demanded field. 

Gain specialized knowledge to perform predictive analytics and become a top level engineer” 

This postgraduate diploma in Business Data Analysis contains the most complete and up to date academic program in the university landscape. The most important features of the program include:

  • Practical case 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 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 assignments  
  • Content that is accessible from any fixed or portable device with an Internet connection 

Make this program the perfect opportunity to develop the formulation and basic properties in univariate time series models” 

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.   

The design of this program focuses on Problem Based Learning, which means the student must try to solve the different real life situations of that arise throughout the academic program. For this purpose, the student will be assisted by an innovative, interactive video system created by renowned and experienced experts. 

Determine the creation of dashboards and KPI's depending on the department with a program that will boost your career"

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Gain specialized knowledge in data representation and analytics and stand out in a field of high international demand"

Objectives

Data science needs professionals trained in the fundamental aspects found in the field. Therefore, a series of general and specific objectives have been established to guide student learning at all times. Fulfilling them will ensure computer engineers develop their maximum potential to make quality decisions, examining every advantage and disadvantage for the organization.  

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Be part of a program that will train you to become an elite professional” 

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

Module 1. Data Analysis in a Business Organization

  • Develop analytical skills in order to make quality decisions  
  • Examine effective marketing and communication campaigns  
  • Determine how to create scorecards and KPIs according to the department  
  • Generate specialized knowledge to develop predictive analytics  
  • Propose business and loyalty plans based on market research  
  • Develop the ability to listen to the customer  
  • Apply statistical, quantitative and technical knowledge in real situations 

Module 2. Graphical Representation of Data Analysis 

  • 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

Module 3. Predictability and Analysis of Stochastic Phenomena

  • Analyze time series 
  • Develop the formulation and basic properties of univariate time series models 
  • Examine the methodology of modeling and prediction of real time series 
  • Assess univariate models including outliers 
  • Apply dynamic regression models and apply the methodology for the construction of such models from observed series 
  • Address the spectral analysis of univariate time series, as well as the fundamentals related to periodogram-based inference and interpretation 
  • Estimate the probability and trend in time series for a given time horizon
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Broaden your professional horizons and analyze the different software tools for graphing and exploratory data analysis” 

Postgraduate Diploma in Business Data Analysis

The digitization of business processes has led to an increasing need for specialists capable of handling large amounts of data. In response to this need, TECH offers the Postgraduate Diploma in Enterprise Data Analytics, an online training that gives you the skills and tools you need to work with data and make informed decisions for business success. TECH's online study allows you to access training from anywhere, anytime, which means you can balance your studies with your work and personal responsibilities. In addition, you will have access to a modern, user-friendly online platform that allows you to interact with your professors and classmates effectively. During the program, you will have the opportunity to learn about business data analysis tools and techniques, including R and Python programming, data mining, statistical and time series analysis, machine learning, and data visualization. In addition, you will be able to apply your skills and knowledge in practical, real-life projects.

The best graduate degree in business data analytics

Graduates of TECH's Postgraduate Diploma in Enterprise Data Analytics are prepared for roles as data analysts, data scientists, business intelligence analysts, and data consultants. These are some of the highest-paying and most in-demand jobs today, which means your study at TECH will prepare you for a successful and evolving career. So if you're looking for a postgraduate diploma in business data analytics that is flexible, high quality, and gives you a competitive edge in the job market, TECH's Postgraduate Diploma in Business Data Analytics is the ideal choice for you. Take advantage of the benefits of online study and be part of an ever-growing academic community at one of the leading universities in technology.