Objectives: Big Data refers to a set of technologies capable of storing and giving access in real time to very large volumes of data, potentially of a wide variety, while optimizing processing time. It is then the techniques of Data Science (Machine Learning, Data Analysis) that will allow us to analyze this data in order to extract useful information for decision-making.
Concepts and challenges of Big Data:
- Introduction to Big Data
- Big Data for managers / decision makers
Big Data technologies:
- NoSQL: Discovery of MongoDB
- NoSQL: ElasticSearch
- Data analysis in Hadoop environment
- Python for Big Data
Data Science:
-Machine Learning
- Machine Learning and Deep Learning with Python
- Text Mining
- Python for Data Science
- MLOps
- Advanced Pandas
- Automatic prediction methods and their business applications
Big Data training is regularly scheduled in inter-company in Paris, Lyon and Toulouse and on request in 6 other major cities (Marseille, Bordeaux, Lille, Nantes, Nice and Strasbourg) as well as in virtual class.
Training can also be organized in-company (intra-company) anywhere in France and beyond (Belgium, Switzerland, Luxembourg, Monaco, etc.).
Dedicated web site: https://www.datavalue.fr/big-data