Perform arithmetic operations and alignment through the best academic program and with the most disruptive methodology: Relearning"

Both NumPy and Pandas are essential in the field of Python programming, due to their versatility in data analysis. These tools provide mechanisms to efficiently import, clean, exploit, analyze and prepare data. In addition, these resources offer powerful tools for data cleaning, including detecting and addressing missing, duplicate or outlier values. In this way, computer scientists ensure data quality prior to analysis. Moreover, these libraries are easily integrated with other visualization libraries such as Seaborn to design graphs and other informative visualizations that help communicate the data.

In this context, TECH is launching a comprehensive program that will delve into data management in Python using NumPy and Pandas. The syllabus will delve into the creation and Manipulation of Arrays, to represent data in multiple dimensions.

Likewise, the syllabus will analyze in detail the Vectorized Operations, taking into account the universal functions and looking for maximum efficiency. On the other hand, the academic materials will address the advanced customization of graphics, exploring different styles and configurations. In addition, the program will provide students with state-of-the-art tools for advanced data analysis and effective visualizations. Graduates will be prepared to face real challenges in the field of data analysis and visualization.

Professionals have a unique opportunity to be up to date in this field through a university program that they can take whenever and wherever they want. All you need is a cell phone, Tablet or computer with an Internet connection to view, at any time of the day, the content hosted on the virtual platform. In this way, the students have an educational option that is compatible with their more demanding responsibilities.

You will master Vectorized Array Operations to perform efficient and elementary calculations on arrays instead of explicit loops"

This postgraduate certificate in Tools in NumPy and Pandas 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 the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• The availability of access to content from any fixed or portable device with an Internet connection.

Manage the Matplotlib library to create a wide variety of graphs and communicate trends in data"

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. 

Looking to handle incomplete data in Pandas? Detect all null values with this program in only 150 hours”

You will organize your time and pace of study, adjusted according to your schedule, through TECH's complete Virtual Campus"

Through this program, graduates will gain a solid understanding of the most widely used libraries in the field of data science: NumPy and Panda. At the end of the course, students will have developed multiple skills for advanced information management. In addition, they will be highly qualified to create and manipulate multidimensional arrays. The specialists will also use Pandas to deal with structured data. In line with this, they will promote proficiency in Data Visualization with Matplotlib. In this way, they will be prepared to meet any challenge during the course of their work.

A holistic syllabus that incorporates all the knowledge you need to take a step towards the highest quality in the field of Information Technology"

General Objectives

• Provide a comprehensive understanding of Python
• Enable advanced data and type handling in Python
• Apply the principles of Object Oriented Programming (OOP) in Python
• Encourage the use of best practices and modern methodologies in software development
• Provide comprehensive education in web and mobile development with Python
• Integrate UI/UX principles in software development
• Teach the configuration and use of data development tools and environments
• Delve into the use of data structures and functions in Python
• Learn advanced data visualization techniques with Matplotlib
• Learn performance optimization and data warehousing strategies

Specific Objectives

• Create and manipulate Arrays with NumPy
• Promote proficiency in data visualization with Matplotlib

Thanks to this academic pathway you will acquire comprehensive skills to create and manipulate Arrays with NumPy"