Modules that integrate the specialization:
- Fundamentals of Data Analysis with Python.
- Database Development.
- Data Modeling and Analysis with Python and Power BI.
Available courses
Fundamentals of Data Analysis with Python
Foundations of Python Programming
Develop the skills and logical thinking to create programs and projects in Python, using strings, lists, loops, dictionaries and functions.
Fundamentals of Data Analysis with Python
Foundations of the NumPy Package
Develop the skills to carry out the analysis of data sets using linear algebra and complex mathematical operations with the NumPy package.
Fundamentals of Data Analysis with Python
Foundations of the Pandas Dataframe Package
Develop the skills to obtain, transform, load and analyze data sets using the Pandas package, which makes it easy to manage all types of data in two-dimensional arrays and tables with access to rows and columns.
Database Development
Database Programming Fundamentals with SQL
Develop the technical skills required to implement and manage database solutions with Microsoft SQL Server.
Database Development
NoSQL Database Programming Fundamentals
Develop the technical skills required to implement and manage NoSQL database solutions.
Data Modeling and Analysis with Python and Power BI
Data Wrangling
Improve skills in performing data analysis, manipulation and ETL processes with the Pandas package.
DATA MODELING AND ANALYSIS WITH PYTHON AND POWER BI
Data Visualization with Python
Develop the skills to create visuals that show the data history, trends, dashboard, and other visual resources with the matplotlib and seaborn packages.
DATA MODELING AND ANALYSIS WITH PYTHON AND POWER BI
Statistics and Probability
Learn the different probabilistic models and apply statistical inference in real scenarios, building supervised learning models.
DATA MODELING AND ANALYSIS WITH PYTHON AND POWER BI
Data Visualization and Analysis with Power BI
Provide practical experience to be applied in data analysis with Power BI, acquiring and developing the skills required to identify business requirements, identify and acquire data. Also transform data, create data models, visualization objects, and share resources using Power BI services.
FUNDAMENTALS OF DATA ANALYSIS WITH PYTHON
Foundations of Python Programming
Develop the skills and logical thinking to create programs and projects in Python, using strings, lists, loops, dictionaries and functions.
FUNDAMENTALS OF DATA ANALYSIS WITH PYTHON
Foundations of the NumPy Package
Develop the skills to carry out the analysis of data sets using linear algebra and complex mathematical operations with the NumPy package.
Fundamentals of Data Analysis with Python
Foundations of the Panda Dataframe Package
Develop the skills to obtain, transform, load and analyze data sets using the Pandas package, which makes it easy to manage all types of data in two-dimensional arrays and tables with access to rows and columns.
Data Modeling and Analysis with Python and Power BI
Data Wrangling
Improve skills in performing data analysis, manipulation and ETL processes with the Pandas package.
DATA MODELING AND ANALYSIS WITH PYTHON AND POWER BI
Data Visualization with Python
Develop the skills to create visuals that show the data history, trends, dashboard, and other visual resources with the matplotlib and seaborn packages.
DATA MODELING AND ANALYSIS WITH PYTHON AND POWER BI
Statistics and Probability
Learn the different probabilistic models and apply statistical inference in real scenarios, building supervised learning models.
DATA MODELING AND ANALYSIS WITH PYTHON AND POWER BI
Data Visualization and Analysis with Power BI
Provide practical experience to be applied in data analysis with Power BI, acquiring and developing the skills required to identify business requirements, identify and acquire data. Also transform data, create data models, visualization objects, and share resources using Power BI services.
COMPUTATIONAL MATHEMATICS
Differential Calculus and Numerical Differentiation
Understand and apply the mathematical concepts of differential calculus in the study of physical and engineering phenomena.
COMPUTATIONAL MATHEMATICS
Integral Calculus and Numerical Integration
Develop mathematical concepts to carry out the integration analytically that would yield exact solutions and using numerical methods that would yield approximate solutions, considering the approximation error.
COMPUTATIONAL MATHEMATICS
Multivariable Calculus
Apply the mathematical concepts of multivariable calculus in the study of physical and engineering phenomena, to model and study high-dimensional systems that exhibit deterministic behavior.
COMPUTATIONAL MATHEMATICS
Introduction to Linear Algebra
The course is aimed at the study of linear and nonlinear systems to solve engineering and applied science problems, through the modeling of natural phenomena and models of industrial machines, improving the ability to efficiently compute these models.
COMPUTATIONAL MATHEMATICS
Interpolation and Regression Methods
Apply interpolation and regression models to make estimates and build predictive models based on historical data and mathematical functions.
COMPUTATIONAL MATHEMATICS
Differential Equations with Numerical Solutions
Understand and apply the mathematical concepts of differential equations and the Laplace transform to solve problems in applied sciences and engineering, as well as develop programs and simulators with Python.
