You will master the most advanced Integrated Development tools to facilitate code writing with this comprehensive TECH program" 

Organizations are increasingly recognizing the relevance of making informed decisions based on data. In this sense, Data Processing and Big Data with Python is a valuable tool for analyzing data and extracting meaningful information to support strategic decisions. In addition, these tools help institutions to locate inefficiencies in their operations, leading to optimization and resource savings. In tune with this, these resources reveal patterns, trends and relationships that are not obvious to the naked eye. This can drive innovation and discovery in a wide variety of fields, from medicine to scientific research.

Realizing its importance, TECH is launching a pioneering program that will delve into shaping the development environment using Python. The syllabus will delve into Flow Control, taking into account conditional control structures. At the same time, the syllabus will analyze the functions and modularity of this programming language based on parameters, arguments and return values. The program will also provide students with key resources for data analysis, among which IPython tools and Jupyter Notebooks stand out. Likewise, the didactic materials will encourage graduates to make innovative proposals to stand out in an IT industry that offers multiple opportunities.

It should be noted that, for this learning, students will have a 100% online platform and various multimedia resources (such as interactive summaries, case studies, infographics, etc.). In addition to this, TECH's Relearning methodology will favor the development of competencies and the mastery of complex concepts in a faster, more efficient and flexible way. All this with a qualification that will not be subject to rigid schedules so that each graduate can choose the time and place where they will focus on this Postgraduate certificate.

Thanks to the revolutionary Relearning methodology, you will integrate all the knowledge in an optimal way to successfully achieve the results you are looking for"

This Postgraduate certificate in Data Processing and Big Data with Python contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in Python Development
• The graphic, schematic and practical contents of the book provide theoretical and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will delve into Jupyter Notebooks to load, clean, explore and analyze data interactively"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will apply the most effective testing and debugging strategies to ensure that applications work correctly and are free of bugs"

You will achieve your objectives thanks to TECH's didactic tools, including explanatory videos and interactive summaries"

This program will provide graduates with advanced competencies in data management and analysis with Phyton. The program will cover everything from the use of this programming language in analysis science to the configuration of the development environment for virtual environments. Likewise, the syllabus will delve into aspects such as operators, bubles and list comprehensions. The didactic contents will also provide resources for data analysis, among which IPython and Jupyter Notebooks stand out. Students will acquire the necessary skills and knowledge to work efficiently with information in Python to face real challenges in the world of Big Data.

A Postgraduate certificate that will raise your professional horizons so that you can compete among the best in the IT sector"

Module 1. Data Processing and Big Data with Python

1.1. Using Python on Data

1.1.1. Python in Data Science and Analysis
1.1.2. Essential Libraries for Data
1.1.3. Applications and Examples

1.2. Setting Up the Python Development Environment

1.2.1. Python Installation and Tools
1.2.2. Configuration of Virtual Environments
1.2.3. Integrated Development Tools (IDE)

1.3. Variables, Data Types and Operators in Python

1.3.1. Variables and Primitive Data Types
1.3.2. Data Structures
1.3.3. Arithmetic and Logical Operators

1.4. Flow Control: Conditionals and Loops

1.4.1. Conditional Control Structures (if, else, elif)
1.4.2. Loops (for, while) and Flow Control
1.4.3. List Comprehensions and Generator Expressions

1.5. Functions and Modularity with Python

1.5.1. Use of Functions
1.5.2. Parameters, Arguments and Return Values
1.5.3. Modularity and Code Reuse

1.6. Error and Exception Handling with Python

1.6.1. Errors and Exceptions
1.6.2. Exception Handling with Try-Except
1.6.3. Creating Custom Exceptions

1.7. IPython Tool

1.7.1. IPython Tool
1.7.2. Using IPython for Data Analysis
1.7.3. Differences with the Standard Python Interpreter

1.8. Jupyter Notebooks

1.8.1. Jupyter Notebooks
1.8.2. Use of Notebooks for Data Analysis
1.8.3. Publication of Jupyter Notebooks

1.9. Python Coding Best Practices

1.9.1. Style and Conventions (WBS 8)
1.9.2. Documentation and Comments
1.9.3. Testing and Debugging Strategies

1.10. Python Resources and Communities

1.10.1. Online Resources and Documentation
1.10.2. Communities and Forums
1.10.3. Learning and Updating in Python

A university program without fixed schedules and with a syllabus available from day one. Set your own learning pace!"