Python Data Science e-learning channel
Practical course - 1d
- 04h53 - Ref. 8YD
|
 | Get to know NumPy and Pandas, the libraries dedicated to data science. |
| Prepare and virtualize data. |
| Analyze variables. |
| Estimate models with the Scikit-Learn library. |
| Building a model based on NLP. |
| Manage data vectorization and hyperparameter settings. |
| Using Random Forest to build NLP-based classification models. |
Intended audience
Python developers and anyone interested in data science.
Prerequisites
Solid knowledge of the Python language.
Practical details
Digital activities
IT structure: recorded courses, expert videos and best practice sharing.
Mentoring
L’option tutorat propose un accompagnement personnalisé par un formateur référent ORSYS, expert du domaine.
Adapté aux besoins, aux capacités et au rythme de chaque apprenant, ce tutorat combine un suivi asynchrone (corrections personnalisées d’exercices, échanges illimités par message…) et des échanges synchrones individuels.
Bénéfice : une meilleure compréhension, le développement des compétences et un engagement durable dans la formation.
Pedagogy and practice
A wealth of content produced by trainers following a rigorous pedagogical approach. During each course, operational cases are commented on by experts to help learners put into practice what they have just learned. To help learners anchor their memory, each content item is broken down into short sequences of 3 to 10 minutes. This enables each learner to learn dynamically and independently.
Course schedule
1 Using Python for data science
- Python and data science.
- Data visualization.
- Inferential statistics with Python.
- Multivariate modeling with Python.
2 Using Natural Language Processing (NLP) with Python
- Introduction to Natural Language Processing (NLP).
- Text data manipulation and preparation with Python.
- Data vectorization.
- NLP modeling with Random Forest.
PARTICIPANTS
Python developers and anyone interested in data science.
PREREQUISITES
Solid knowledge of the Python language.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Python developers and anyone interested in data science.
PREREQUISITES
Solid knowledge of the Python language.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.