Getting Started with Python for Data Scientists
Beschrijving
Python started off as a general-purpose programming language, but in the last decade it has become a popular environment for data science. The reason is that the community of Python users have recently created useful add-on packages which are suitable for data manipulation, preparation, visualization and analysis. This practical course introduces both base Python and the most important packages in a hands-on way with many exercises.
The objective of the course is that you are capable of doing data management, visualization and analysis in Python on your own.
Python is an open-source programming language which you can freely download from https://www.anaconda.com/download/ (i.e. the Anaconda distribution). Python version 3 or higher is recommended.
This course is part of a larger course series in Data Analysis consisting of 19 individual modules. Find more information and enroll for this module via www.ipvw-ices.ugent.be.
Programma
- Introduction: Python and the Anaconda distribution
- Data types: numbers, strings, lists, tuples, sets and dictionaries
- Automation: control flow and self-defined functions
- Importing data and exporting results
- Managing data with NumPy and pandas
- Graphs with matplotlib and seaborn
- Statistical analysis with statsmodels
Schrijf je hier in voor lessen uit deze cursus
Getting Started with Python for Data Scientists
- Type of course: This is an on campus course.
- Dates & times: December 6, 9, 13, 16 and 20, 2021, from 5.30 pm to 9.30 pm
- Venue: UGent, Faculty of Sciences, Campus Sterre, Krijgslaan 281, building S5, 9000 Gent
- Target audience: This course targets professionals and investigators from diverse areas with little to no Python-programming experience who wish to start using Python for their data manipulation, data exploration or statistical analysis.
- Exam/certificate: There is no exam connected to this course. Participants who attend all classes receive a certificate of attendance via e-mail at the end of the course.
- Course prerequisites: The course is open to all interested persons. Knowledge of basic statistical concepts and experience with other programming languages are considered advantages, but not required for learning the Python language.
- Funding:
=> Our academy is recognised as a service provider for the 'KMO-portefeuille'. In this way small and middle sized businesses located in the Flanders region can save up to 30% on the registration fee for our courses. You can request this subsidy via www.kmo-portefeuille.be up until 14 calender days after the course has started.
=> UGent PhD students can apply for a full refund from their Doctoral School. - Reduction:
=> If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment
=> Reduced prices apply to coworkers in governmental institutions, non-profit organisations and higher eduction as well as for students and the unemployed. - Enrolling for this course is possible via the IPVW-ICES website.