Data Science Diploma

Thanks to this diploma in data science you will have deep knowledge from the foundations of data science, to the practical application of key tools. The approach to relational databases and NOSQL, along with data analysis in Python and R, provides a balanced vision. The inclusion of Mongodb and the use of programming languages ​​such as Python and R reinforces practical applicability. In addition, care in the preproduction and data processing with emphasis on ETL (extraction, transformation and load) and hypothesis tests, will prepare you enough for the challenges in the projects you have of data science. In addition, you will have a teaching team specialized in the field.

- Understand the foundations of data science and essential tools. - Deepen relational databases, addressing models, keys, and indexes. - Explore NSOQL databases, comparing with relationships and applying Cap theorem. - Acquire practical skills with Mongodb, from installation to advanced consultations. - Apply Python for data analysis and understand its integration with Mongodb and Hadoop. - Dominate R as a tool for Big Data, exploring predictive data and statistics. - Assimilate data processing and data processing techniques, including ETL and hypothesis tests.

With this diploma in data science you can opt for roles as a data scientist, data analyst, data engineer, database developer, among others. Companies are looking for professionals capable of managing large data sets and translating them into significant information for strategic decision making within these companies.

This diploma in data science prepares you to highlight in the field of data science, providing relations in relational databases and NOSQL, data analysis with Python and R and advanced processing and preproduction techniques with ETL. At the end, you will be equipped and you will have confidence to face the challenges of data science that arise in your career.

This Data Science Diploma is designed for IT students and professionals, developers, data analysts and any person interested in the field of data science. No previous knowledge is required, making it accessible to beginners, but also valuable for those who seek to improve their skills.