University certificate
The world's largest school of business”
Why study at TECH?
Apply the fundamentals of time series modeling and forecasting methodology and excel professionally in a field that is in high demand at the enterprise level"
Why Study at TECH?
TECH is the world's largest 100% online business school. It is an elite business school, with a model based on the highest academic standards. A world-class center for intensive managerial skills education.
TECH is a university at the forefront of technology, and puts all its resources at the student's disposal to help them achieve entrepreneurial success"
At TECH Global University
Innovation |
The university offers an online learning model that combines the latest educational technology with the most rigorous teaching methods. A unique method with the highest international recognition that will provide students with the keys to develop in a rapidly-evolving world, where innovation must be every entrepreneur’s focus.
"Microsoft Europe Success Story", for integrating the innovative, interactive multi-video system.
The Highest Standards |
Admissions criteria at TECH are not economic. Students don't need to make a large investment to study at this university. However, in order to obtain a qualification from TECH, the student's intelligence and ability will be tested to their limits. The institution's academic standards are exceptionally high...
95% of TECH students successfully complete their studies.
Networking |
Professionals from countries all over the world attend TECH, allowing students to establish a large network of contacts that may prove useful to them in the future.
100,000+ executives trained each year, 200+ different nationalities.
Empowerment |
Students will grow hand in hand with the best companies and highly regarded and influential professionals. TECH has developed strategic partnerships and a valuable network of contacts with major economic players in 7 continents.
500+ collaborative agreements with leading companies.
Talent |
This program is a unique initiative to allow students to showcase their talent in the business world. An opportunity that will allow them to voice their concerns and share their business vision.
After completing this program, TECH helps students show the world their talent.
Multicultural Context |
While studying at TECH, students will enjoy a unique experience. Study in a multicultural context. In a program with a global vision, through which students can learn about the operating methods in different parts of the world, and gather the latest information that best adapts to their business idea.
TECH students represent more than 200 different nationalities.
Learn with the best |
In the classroom, TECH teaching staff discuss how they have achieved success in their companies, working in a real, lively, and dynamic context. Teachers who are fully committed to offering a quality specialization that will allow students to advance in their career and stand out in the business world.
Teachers representing 20 different nationalities.
TECH strives for excellence and, to this end, boasts a series of characteristics that make this university unique:
Analysis |
TECH explores the student’s critical side, their ability to question things, their problem-solving skills, as well as their interpersonal skills.
Academic Excellence |
TECH offers students the best online learning methodology. The university combines the Relearning method (a postgraduate learning methodology with the highest international rating) with the Case Study. A complex balance between tradition and state-of-the-art, within the context of the most demanding academic itinerary.
Economy of Scale |
TECH is the world’s largest online university. It currently boasts a portfolio of more than 10,000 university postgraduate programs. And in today's new economy, volume + technology = a ground-breaking price. This way, TECH ensures that studying is not as expensive for students as it would be at another university.
At TECH, you will have access to the most rigorous and up-to-date case analyses in academia"
Syllabus
The Postgraduate certificate in Time Series and Forecast for Data Analysis is the ideal opportunity to learn about the models that allow the analysis of stochastic phenomena. Thanks to the partnership with an excellent group of experts, TECH has devised a program that meets all the requirements and demands of a booming sector. In this way, the student will be able to better understand the most commonly used models to predict the behavior of a time series, improving the economic performance of his company.
You will lead your company to success thanks to the data analysis techniques that you will acquire in the development of this Postgraduate certificate"
Syllabus
It is essential in this new era to have professionals who are capable of exploring and extracting knowledge that adds value and supports the decisions they make in any professional field. In this sense, analyzing stochastic phenomena has become the main objective of time series models. In this Postgraduate certificate, special emphasis will be given to those models that represent greater versatility and adaptation for the analysis of these systems.
Therefore, during the development of this program, it will be possible to delve into the theoretical foundations on the spectral analysis of univariate time series, as well as the fundamental aspects related to inference based on the eriodogram and its interpretation.
All the knowledge contained in this program is supported by the experience of an excellent teaching staff that, in a dynamic and practical way, will present several examples applicable to the student's daily work.
For these reasons, this Postgraduate certificate is perfect for those professionals who wish to add value to their companies, based on the deep, detailed and accurate analysis of data.
This Postgraduate certificate takes place over 6 weeks and it consists of 1 module:
Module 1. Time Series and Forecast for Data Analysis
Where, When and How is it Taught?
TECH offers the possibility of developing this Postgraduate certificate in Time Series and Forecast for Data Analysis completely online. During the 6 weeks that the specialization program lasts, the student will be able to access all the contents of this program at any time, which will allow them to manage their own study time.
Module 1. Time Series and Forecast for Data Analysis
1.1. Time Series
1.1.1. Objectives
1.1.2. Application
1.2. Components of a time series
1.2.1. Trend component - Seasonal
1.2.2. Cycle
1.2.3. Waste
1.3. Types of time series
1.3.1. Stationary time series
1.3.2. Stationary time series
1.3.3. Box-Cox Transformation
1.4. Basic Forecasting Methods
1.4.1. Media
1.4.2. Naïve
1.4.3. Seasonal Naïve
1.4.4. Method Comparison
1.5. Waste Analysis
1.5.1. Autocorrelation
1.5.2. ACF of Waste
1.5.3. Correlation Test
1.6. Predictive Methods of Time Series
1.6.1. ARIMA
1.6.2. RMA
1.6.3. Exponential Smoothing
1.7. Measures of forecast accuracy
1.7.1. MAE
1.7.2. MSE
1.7.3. RMSE
1.7.4. MAPE
1.8. Forecasting Stages
1.8.1. Model identification
1.8.2. Estimate
1.8.3. Verification-Prediction
1.9. Manipulation and Analysis of Time Series with R
1.9.1. Data Preparation
1.9.2. Identification of Patterns
1.9.3. Model Analysis
1.9.4. Prediction
1.10. Combined Graphical Analysis with R
1.10.1. Application of graphical analysis combined with R
If your company needs a change, here is the answer: consolidate your career in time series analysis and add value to your business decisions"
Postgraduate Certificate in Time Series and Forecast for Data Analysis.
Time series is a tool for data analysis that is used to analyze the evolution of a data set over time. This involves the study of the regularity and trends of a data set, as well as its projection into the future.
The objective of time series is to identify patterns and trends, such as the increase or decrease in sales or production in a company over the years. These patterns can be analyzed by statistical techniques and mathematical models, in order to make forecasts about future trends.
One of the most widely used models for time series analysis is the ARIMA (Autoregressive Integrated Moving Average) model. This model uses historical information to predict future values in a time series. The ARIMA model can be used to analyze different types of data, such as sales, production, prices, stocks, among others.
Time series analysis is also fundamental in business management as it allows for making projections and predictions important for strategic decision making. For example, knowing in which months there is usually greater demand for a product helps the company to plan its production and inventory management.
The forecasting technique is based on the analysis of time series to predict future events. For example, time series analysis can be used to predict the future growth of a company, the evolution of the market in the future, customer behavior, among others.
Time series and forecasting are essential for data analysis in business. These techniques use mathematical and statistical models to analyze the temporal evolution of data and make relevant forecasts for decision making in companies.
Students learn techniques to predict the future behavior of a variable, including techniques such as exponential smoothing, linear regression modeling and trend forecasting.