Syllabus

The Postgraduate certificate in Data Analytics through Programming Languages perfectly covers all the needs and professional requirements demanded by the sector. Always thinking about the development of its students, TECH has created this program with the help of an excellent group of experts who will show, in a practical and dynamic way, that students will be able to perform the tasks of exploration, visualization, transformation and analysis of data using Python and R programming languages, focusing on the libraries available to carry out each of them.

Learn in a secure and 100% online environment, the most used Programming Languages in Data Analytics"

Syllabus

The current reality of organizations and the constant scientific and technological advances make it necessary to manage data in a conscientious manner in companies. To analyze large amounts of data is not easy when you do not have the specialized tools and personnel to handle them properly.

This program seeks precisely to provide the professional with the qualities needed to analyze data using programming languages appropriate to each requirement. And it is up to the good professional to go into the details to adjust to the reality of their company or project.

This syllabus has been designed by experts in the area of business analysis, business and finance, which provides specific and quality content for its correct learning by the professional. Who wants to be equipped with the technical knowledge to provide agile solutions in their work environment.

The Postgraduate certificate in Data Analytics through Programming Languages addresses all the theoretical and practical content in a dynamic way. Through various formats distributed in the virtual campus, 100% online. With the support of the teaching team through meeting rooms, forums and private chat.

In only 150 hours or 6 weeks, the aim is to provide students with the ability to design an information extraction flow from a set of data that provides added value. In addition to making a comparison of different languages so that students are able to tackle a problem using the most appropriate tool in each case.

This Postgraduate certificate takes place over 6 weeks and it consists of 1 module:

Module 1. Data Analytics Through Programming Languages

Where, When and How is it Taught?

TECH offers the possibility of developing this Postgraduate certificate in Data Analytics through Programming Languages 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. Data Analytics Through Programming Languages

1.1. Python and R

1.1.1. History and characteristics of languages
1.1.2. Python Setup
1.1.3. Installation of R
1.1.4. Other Tools

1.2. Types of Data in Python

1.2.1. Basic Types
1.2.2. Complex Types
1.2.3. Data Operations
1.2.4. Control Structures
1.2.5. File Operations

1.3. Types of Data in R

1.3.1. Basic Types
1.3.2. Complex Types
1.3.3. Data Operations
1.3.4. Control Structures
1.3.5. File Operations

1.4. Information extraction and visualization with Python

1.4.1. Main statistical summaries
1.4.2. Univariate Analysis
1.4.3. Multivariate Analysis

1.5. Information extraction and visualization with R

1.5.1. Main statistical summaries
1.5.2. Univariate Analysis
1.5.3. Multivariate Analysis

1.6. Preprocessing in Python

1.6.1. Outlier detection and analysis
1.6.2. Subsampling and resampling
1.6.3. Dimensionality Reduction

1.7. Preprocessing in R

1.7.1. Outlier detection and analysis
1.7.2. Subsampling and resampling
1.7.3. Dimensionality Reduction

1.8. Modeling in Python

1.8.1. Division of the Data Set
1.8.2. Basic modeling and main libraries
1.8.3. Prediction and evaluation of metrics

1.9. Modeling in R

1.9.1. Division into data sets
1.9.2. Basic modeling and main libraries
1.9.3. Prediction and evaluation of metrics

1.10. Language comparison

1.10.1. Strengths and Weaknesses
1.10.2. Good Practices
1.10.3. Conclusion and Bookstores of Interest

Data is the fuel of commerce. The current situation indicates that you have to know how to analyze it"

Teaching Objectives

In order to guarantee that the student reaches the professional level they desire, TECH has created this Postgraduate certificate in Data Analytics Using Programming Languages. Where the professional will face various essential tasks in data analytics, finally being able to summarize the information with statistics and graphs that collect the essential data generated after analysis. It is also intended that this program serves as a technical basis to provide students with the ability to design a flow of information extraction from a set of data that adds value to the achievement of objectives.

This program will allow you to understand data analytics from a technical and specialized perspective to provide solutions"

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

This Postgraduate certificate in Data Analytics through Programming Languages enables students to:

  1. Identify the most appropriate tool to solve each type of problem
  2. Analyze and examine data using appropriate libraries to extract relevant information
  3. Evaluate the results obtained using quantitative and qualitative information
  4. Generate graphs to present information in a summarized, visual and attractive way
  5. Demonstrate basic skills in using Python and R as tools for data analysis
  6. Identify the strengths and weaknesses of the languages in order to adapt their use accordingly
  7. Evaluate the necessary libraries and identify existing modules maximizing the reuse of available resources
  8. Define the strategy to address a problem by adding value to data
  9. Justify the use of techniques and methods using qualitative and quantitative analysis
  10. Develop the ability to establish and propose combinations of preprocessing methods that improve data quality
  11. Adequately present the information, using the power of languages to synthesize the conclusions of the analysis in an explanatory way
  12. Evaluate, in broad terms, some of the most widely used technological solutions in use today

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Postgraduate Certificate in Data Analytics Through Programming Languages

In the information age, data is the new oil and knowing how to take advantage of it has become an essential skill for success in any field. Based on this, TECH Global University has developed its Postgraduate Certificate in Data Analytics Through Programming Languages. An online postgraduate course created with the highest academic standards that will complement your studies in a dynamic and flexible way. In the syllabus, carefully designed by a team of experts, you will find relevant aspects such as the necessary tools to explore, analyze and visualize data effectively using programming languages such as Python and R. These powerful tools will allow you to extract valuable information and make informed decisions based on evidence.

Learn about data analytics using programming languages

To achieve our goal of being the best online university in the world, we employ innovative methodologies, classes supported by multimedia material and relearning teaching models that together will achieve a dynamic and efficient educational process. As you progress through the program, you will explore the fundamentals of programming, acquiring solid knowledge of data structures, loops, conditionals and functions. In addition, you will dive into data manipulation and data cleansing, learning advanced techniques to properly prepare data prior to analysis. Once you master the fundamentals, you'll move on to more sophisticated data analysis techniques, including statistical modeling, machine learning and data mining. In addition, you'll discover how to apply advanced algorithms and methods to obtain predictive and descriptive information from complex data sets.