Part time Courses in Data Science in Paris France 2020/2021
France is currently among the 20 best performing countries in terms of the economy due to their excellent results-oriented higher education learning. Most of the courses at universities are offered in the French language. France has 60 public and 100 private universities.
Paris is the most populated city in France and its capital. It has over 2 million residents. It plays host to leading centers of learning and the arts in the European region. Being home to the highest number of highly educated persons, Paris has several prestigious universities in France.
Part time Course in Data Science in Paris in France
15 Results in Data Science, Paris Filter
Understand the role of data science within Microsoft Azure and discover the fundamentals of Python and R programming.
Become a data analyst in 9 weeks. Learn to load, clean, explore and extract valuable insights from a wide range of datasets as well as cultivate tools and languages such as Py ...
Discover the power of data analytics for individuals and organisations working in health and social care.
Get to grips with social media analytics and prepare to launch your own social media analytics project.
Discover data structures and learn how they’re used in the Python programming language with experts at the University of Michigan.
Get to grips with the General Data Protection Regulation and take the first steps to ensure that your organisation is compliant.
Learn how to handle data in the digital economy safely, securely and respectfully.
Discover big data: work with airline data to learn the fundamentals of the R platform.
Discover how to read and understand data in the media, and how to spot fake news based on misleading statistics.
Explore different social listening tools and discover advanced social media analytics.
Learn how to get valuable insights from social media by translating your past and present social media 'flow' into data.
Learn about the role of analytics in business, the types of analytics and techniques used and why they are important.
Find out how to harness the power of data to help you make better business decisions.
Use development management tools and frameworks to plan, implement and evaluate development interventions in practice.
Become a data analyst. Learn to load, clean, explore and extract valuable insights from a wide range of datasets as well as cultivate tools and languages such as Python, SQL a ...