Overview
Key facts
This course provides an overview of data structures, cleaning and preparation techniques, Pandas, Matplotlib, Scikit-learn, OpenCV, Python and Flask, Keras, and Numpy for developing data-driven applications.
Data ScienceTech Institute's Introduction to Data Science programme will teach you more about this topic.
Programme Structure
Courses include:
- Pandas
- Matplotlib
- Scikit-learn
- OpenCV
- Python and Flask
- Keras
Key information
Duration
- Full-time
- 7 days
Start dates & application deadlines
For live or on-campus training, contact the university.
Language
Credits
Delivered
Disciplines
Data Science & Big Data View 8 other Short Courses in Data Science & Big Data in FranceAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Data ScienceTech Institute and/or in France, please visit Student Insurance Portal.
Other requirements
General requirements
Interview based
Tuition Fee
-
International
1350 EUR/fullTuition FeeBased on the tuition of 1350 EUR for the full programme during 7 days. -
EU/EEA
1350 EUR/fullTuition FeeBased on the tuition of 1350 EUR for the full programme during 7 days.
Living costs for Nice
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.