University certificate
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Syllabus
For this program, the students are expected to explore and develop their maximum capabilities. For this purpose, a theoretical and practical methodology is presented that will allow a better understanding of the concepts presented. In addition, the content will be available online, so it adapts perfectly to the student's work and personal needs.
Start your path to excellence in the workplace today by understanding the concepts of Time Series"
Syllabus
The Postgraduate certificate in Predictability and Analysis of Stochastic Phenomena in Data Science of TECH Global University, will become a complete experience that will help students to generate specialized knowledge about the tools and strategies used in this field.
This will be approached from the perspective of a technology department director. Therefore, the students will develop critical thinking skills that will favor their entrepreneurial advancement.
For this reason, in each class you will have the opportunity to learn, through case studies, the new technologies for data visualization, such as Intelligent Systems or Systems for the virtualization of reality. In addition, you will identify the univariate models that are outliers in companies and the dynamic regression models used to analyze them.
By means of practical cases, students will have a much better understanding of the knowledge imparted. In turn, they will be encouraged to achieve excellence in the field of leadership and management of a technology department in a company. They will understand the needs of the business and be able to propose new and innovative strategies.
This Postgraduate certificate takes place over 6 weeks with 1 module of study:
Module 1. Predictability and Analysis of Stochastic Phenomena
A unique, key, and decisive educational experience to boost your professional development and make the definitive leap"
Where, When and How is it Taught?
TECH offers the possibility of developing this Postgraduate certificate in Predictability and Analysis of Stochastic Phenomena in Data Science completely online. Over the course of 6 weeks, you will be able to access all the contents of this program at any time, allowing you to self-manage your study time.
Module 1. Predictability and Analysis of Stochastic Phenomena
1.1. Time Series
1.1.1. Time Series
1.1.2. Utility and Applicability
1.1.3. Related Case Studies
1.2. Time Series
1.2.1. Trend Seasonality of ST
1.2.2. Typical Variations
1.2.3. Waste Analysis
1.3. Typology
1.3.1. Stationary
1.3.2. Non-Stationary
1.3.3. Transformations and Settings
1.4. Time Series Schemes
1.4.1. Additive Scheme (Model)
1.4.2. Multiplicative Scheme (Model)
1.4.3. Procedures to Determine the Type of Model
1.5. Basic Forecast Methods
1.5.1. Media
1.5.2. Naive
1.5.3. Seasonal Naive
1.5.4. Method Comparison
1.6. Waste Analysis
1.6.1. Autocorrelation
1.6.2. ACF of Waste
1.6.3. Correlation Test
1.7. Regression in the Context of Time Series
1.7.1. ANOVA
1.7.2. Fundamentals
1.7.3. Practical Applications
1.8. Predictive Methods of Time Series
1.8.1. ARIMA
1.8.2. Exponential Smoothing
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. Normal Situations
1.10.2. Practical Application for the Resolution of Simple Problems
1.10.3. Practical Application for the Resolution of Advanced Problems
Predict the behavior of a time series and be prepared to face any problems they generate as the best in the field of Data Science"
Teaching Objectives
The ultimate goal of this program is to have a group of professionals capable of facing any business challenge that may arise. To do so, they must develop certain knowledge and skills in Big Data. This will be critical to accepting a leadership role in your work team.
There is a great demand for Data Science professionals. With this program you will stand out from the competition"
TECH makes the goals of their students their own goals too.
Working together to achieve them.
The Postgraduate certificate in Predictability and Analysis of Stochastic Phenomena in Data Science qualifies students to:
- 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
- Generate specialized knowledge on Time Series
- Examine the pattern and characteristics of the Time Series
- Analyze the most commonly used models for Time Series analysis
- Determine the most advanced resources and methodology for Time Series analysis
- Predict the behavior of a time series based on the knowledge of the models studied
Postgraduate Certificate in Predictability and Analysis of Stochastic Phenomena in Data Science
In today's technology and information environment, data-driven decision making has become a fundamental tool for any company or industry that wants to stay competitive. In this sense, predictive analytics and the ability to predict stochastic phenomena have become a necessity for professionals working in the field of data science. Would you like to develop the skills necessary to succeed in this constantly evolving field? You've come to the right place. At TECH Global University you will find the most complete and updated Postgraduate Certificate in Predictability and Analysis of Stochastic Phenomena in Data Science in the educational market. The postgraduate course is taught online and has an innovative educational scheme that will provide you with the latest tools of the moment. As you progress through the program, you will gain a deep and updated understanding of the methods and tools used in the predictive analysis and modeling of stochastic phenomena.
Develop your Data Science skills
If you want to develop your Data Science skills and learn how to apply advanced techniques to analyze large datasets and predict future behaviors, this TECH program is definitely the right choice for you. Through our program, you will learn to apply advanced statistical analysis techniques and machine learning algorithms to analyze large data sets and predict future behaviors. In addition, you will study probability theory, stochastic processes, Bayesian statistics and regression models. Finally, you will specialize in the use of popular tools and techniques such as Python, R and TensorFlow. Upon completion of the program, you will be prepared to apply your skills in predictive analytics and modeling stochastic phenomena in a variety of fields, including finance, marketing, healthcare and technology.