With this 100% online postgraduate diploma, you will gain a solid foundation in the use of Python for data science and analysis, including the configuration of development environments and the use of essential libraries”

Data Analysis with Python is indispensable in business and science due, first, to its specialized libraries, such as Pandas, NumPy and Matplotlib, providing a robust and versatile platform to efficiently manipulate, visualize and analyze data. In addition, the active Python community is constantly contributing new libraries and resources, keeping pace with trends in data analysis. 

This is how this postgraduate diploma was born, which will offer an extensive program focused on the development of key competencies for efficient data management and analysis. In this way, the professionals will focus on the fundamentals, covering from variables and data types, to control structures and best coding practices. 

Likewise, the computer scientist will delve into data structures and advanced functions, addressing file management and modeling techniques in Python. In this context, the practical application of structures, such as arrays and dictionaries, along with function handling and efficient file processing will be emphasized. Not to mention the advanced use of NumPy, Pandas and Matplotlib, providing advanced skills in arraysmanipulation, efficient structured data handling and advanced visualization techniques. 

Finally, the syllabus will address advanced data management with NumPy and Pandas, with a focus on performance and storage optimization strategies. In this way, data loading and warehousing from various sources, advanced cleansing and transformation strategies, as well as time series and complex data analysis will be covered. 

TECH will provide experts with an adaptable certification, giving them greater autonomy to manage their periods of participation, making it easier for them to reconcile their day-to-day responsibilities, whether personal or work-related. This method will be based on the Relearningmethodology, which involves the repetition of key concepts to enhance the assimilation of the contents. 

You will master Data Analytics with Python, streamlining the analysis process and improving the quality and interpretation of information, giving organizations a significant competitive advantage”

This postgraduate diploma in Data Analysis with Python contains the most complete and up-to-date program on the market. The most important features include:

• Practical cases studies are presented by experts in Data Analysis with Python  
• 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 

From basic operations, to advanced visualization techniques, you will acquire skills to perform advanced data analysis and effective visualizations. What are you waiting for to enroll?"   

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational 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 delve into advanced data management with NumPy and Pandas, with an emphasis on performance and storage optimization strategies, thanks to didactic resources at the forefront of technology and education"

Bet on TECH! You will cover fundamental aspects such as variables and control structures, as well as advanced techniques such as the use of IPython and Jupyter Notebooks"

The main objectives of this academic program are to provide graduates with the necessary skills and knowledge to lead in the field of data analysis. Through a comprehensive approach, the program will cultivate diverse competencies, from basic fundamentals to more advanced techniques, providing computer scientists with the essential tools to face real challenges in data science. And, in addition to fostering mastery of key libraries such as NumPy, Pandas and Matplotlib, the program will promote coding practices and the efficient use of tools such as Jupyter Notebooks. 

This postgraduate diploma is not only an investment in your knowledge, but also a gateway to new opportunities in the field of Data Analysis with Python ”

General Objectives

• Teach the configuration and use of data development tools and environments 
• Develop skills in data management and analysis with Python 
• Delve into the use of data structures and functions in Python 
• Acquire skills in advanced file handling and modeling in Python 
• Learn advanced data visualization techniques with Matplotlib 
• Develop skills in advanced data management with NumPy and Pandas 
• Learn performance optimization and data warehousing strategies 
• Delve into advanced data management with NumPy and Pandas 

Specific Objectives

Module 1. Data Processing and Big Data with Python  

• Handle flow control techniques and data handling functions  
• Promote best practices for coding and error handling in Python
• Use essential Python data libraries 

Module 2. Data Structures and Functions in Python 

• Create and use advanced functions 
• Read and write files and their processing 
• Apply different data structures in a practical way 

Module 3. Data Handling in Python with NumPy and Pandas 

• Create and manipulate Arrays with NumPy  
• Promote proficiency in data visualization with Matplotlib 
• Use Pandas for structured data handling 

Module 4. Advanced Techniques and Practical Applications in NumPy and Pandas 

• Develop expertise in loading and storing data from and to various sources  
• Instruct in advanced data cleansing and transformation strategies
• Promote competencies in analysis and manipulation of time series and complex data

Upon completion of this program, you will be equipped to perform advanced data analysis and tackle complex issues strategically and creatively, excelling as a professional”