Postgraduate certificate Data Processing. Exploratory Analysis and Preprocessing

At present and with a view to a future where one of the most necessary raw materials for business development is a robust database, it is necessary to promote the study and obtaining the appropriate knowledge for its correct analysis, management and disposition. In this context, Business Intelligence systems are presented as key tools in business environments with the objective of favoring control and strategic decision making. In this way, this program expects to specifically and in detail address the tools that allow the analysis prior to the application of data mining techniques. With the objective of extracting the maximum value and knowledge, as well as their preparation so that they can serve as input to a certain algorithm. Providing the professional with a specialization that allows them to be more competitive in the labor market.

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(first year)

See price

The world's largest school of business”

Syllabus

The Postgraduate certificate in Data Processing, Exploratory Analysis and Preprocessing, has been designed by TECH Global University based on the need for specialized professionals in business intelligence that can contribute to strategic decision making and the advantages of its implementation. Qualifying the student in a totally online way, in the statistical analysis, its variables, its distribution, the study of missing values, among others, detailed in the agenda of this program. It provides everything that the professional needs in a Big Data environment.

In this Postgraduate certificate you will examine with practical cases, the main techniques of analysis prior to a data mining process"

Syllabus

In the past, in the present and much more in the future with the incessant development of globalization, making the right decisions is one of the most important factors in any environment, especially in business. To do so, it is important to have as much data as possible, so that the decision to be taken is the closest to the interests that one has.

In view of this need, it is essential for any business to understand data processing, analysis and evaluation. For which it is necessary to have personnel trained and up-to-date in this subject. Statistical analysis and data preprocessing techniques offer a solid methodology for data refinement and preparation for further analysis.

In this sense, a Postgraduate certificate has been created to qualify the professional in the analysis of a data set from the statistical point of view in order to summarize its main characteristics. Including the study of variables, their distribution, the study of missing values, among others, with the help of statistical and visual methods.

The next step is the preparation so that they can serve as input to a given data mining algorithm. Therefore, the techniques of data cleaning, transformation, imputation, noise reduction, balancing, feature selection, dimensionality reduction, among many others, will be studied.

A syllabus designed by an expert faculty, for a future graduate capable of facing major challenges within a business team. Understand the needs of today's market, so it adjusts its content to the most advanced techniques and processes. Supported by the best 100% online educational methodology developed in a secure and dynamic virtual campus, which will provide competencies to solve critical situations in a creative and efficient way.

This Postgraduate certificate is developed over 6 week and is divided into 1 module:

Module 1. Data Processing. Exploratory Analysis and Preprocessing

Where, When and How is it Taught?

TECH offers the possibility of developing this Executive Postgraduate certificate in Data Processing. Exploratory Analysis and Preprocessing completely online. Over the course of 12 months, 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. Data Processing. Exploratory Analysis and Preprocessing

1.1. Statistics

1.1.1. Descriptive Statistics
1.1.2. Statistical Inference
1.1.3. Parametric tests
1.1.4. Non-parametric tests

1.2. Exploratory Data Analysis

1.2.1. Exploratory Data Analysis. Descriptive Analysis
1.2.2. Data Visualization
1.2.3. Data Manipulation

1.3. Data Preparation

1.3.1. Data integration
1.3.2. Data Cleaning
1.3.3. Standardization
1.3.4. Transformation

1.4. Missing and empty values

1.4.1. Eliminating missing values
1.4.2. Maximum likelihood procedures
1.4.3. Imputation of Missing Values

1.5. Noise in the Data

1.5.1. Types of Noise
1.5.2. Noise detection and elimination
1.5.3. Learning with noise

1.6. The dimensionality problem

1.6.1. Oversampling
1.6.2. Subsampling
1.6.3. Principal Component Analysis (PCA)

1.7. Discretization

1.7.1. Discretization Process
1.7.2. Discretization methods
1.7.3. Characteristics and properties of discretization methods

1.8. Feature selection

1.8.1. Selection Criteria
1.8.2. Characteristics Selection Methods

1.9. Instance Selection

1.9.1. Classification of instance selection methods
1.9.2. Prototype Selection
1.9.3. Other methods for instance selection

1.10. Data Pre-processing in Big Data Environments

1.10.1. Big Data
1.10.2. Data Pre-processing in Big Data Environments
1.10.3. Smart Data

Help your company find effective solutions in specific situations"

Teaching Objectives

With the firm purpose of providing an education of excellence to its students and adjusted to the needs of today's world, TECH has created an entire program dedicated exclusively to the analysis prior to the application of data mining techniques in order to extract the maximum value and knowledge from them. With the Postgraduate certificate in Data Processing, Exploratory Analysis and Preprocessing, TECH seeks to guarantee an effective professional and personal development within the labor field and Big Data environments.

Enhance your knowledge to be able to perform any type of data analysis and evaluation in business environments"

TECH makes the goals of their students their own goals too.
Working together to achieve them.

The Postgraduate certificate in Data Processing. Exploratory Analysis and Preprocessing will enable the student to:

Develop high-level technical capabilities for exploratory data analysis
Understand how to apply BI to novel, known or recurring problems within the company
Evaluate the different types of algorithms and identify their advantages and disadvantages
Learn how to extract the maximum value and knowledge from data, according to the objectives and business need
Develop skills for data identification, preparation and transformation
Specify the appropriate method of data reduction for a given learning process
Demonstrate the ability to interpret graphs for data description and knowledge of the different existing data preprocessing techniques for data cleaning, normalization and data transformation
Compile the most advanced Bi-related techniques to stand out in the business
Determining the BI tool to be used in a company
Generate technical skills, statistical and quantitative knowledge

Postgraduate Certificate in Data Processing. Exploratory Analysis and Preprocessing

Data processing is the activity of cleaning, transforming and consolidating data with the aim of obtaining useful and reliable information for further analysis. Exploratory analysis and processing are two important phases of data treatment.

Exploratory data analysis involves the exploration of raw data to find patterns, trends, relationships, and anomalies. During this phase, data are visualized and summarized using descriptive statistical techniques and graphs, such as histograms, bar charts, box plots, among others. This analysis helps to understand the quality of the data, identify outliers and understand the distribution of the data. It also helps to identify potential problems in data collection or data sources.

Data processing involves transforming and cleaning the data to make it easier to analyze. During this phase, preprocessing techniques are applied to remove outliers and duplicate data, fill in missing data, and adjust the data to make it comparable. New variables can also be created from existing data to enrich the analysis. Data processing is essential to ensure that the data is consistent, accurate and precise information useful for business decisions.

In general, exploratory analysis and processing are important phases of data processing that ensure data quality for future analysis. Exploratory analysis helps to better understand the data and find patterns, while data processing helps to clean and transform the data for use in more detailed and accurate analyses. the result is a better understanding of the data and how it is used to make decisions in a business or other domains.

This Postgraduate Certificate in data processing, exploratory analysis and preprocessing prepares students to process and clean data, to explore and prepare it for analysis and display it visually and effectively. This helps businesses make better data-driven decisions and provides the student with valuable skills that they can apply in many business areas.