We have the answers to your questions! - Don't miss our next open house about the data universe!
We have the answers to your questions! - Don't miss our next open house about the data universe!
Devenez Data Analyst en 9 semaines avec notre formation et obtenez votre certificat par l’université Paris Sorbonne
1. Programmation (35h)
Fondamentaux Python, Numpy, Pandas
3. Machine Learning (20h)
Machine Learning supervisé & non-supervisé
5. Big Data / Database (20h)
Langage SQL, Data Processing, PySpark
7. Système complexe et IA (20h)
Reinforcement Learning, Deep RL, Algorithmie...
2. Dataviz (20h)
Matplotlib, Seaborn, Bokeh
4. Machine Learning ++ (20h)
Statsmodels, Text Mining, NetworkX
6. Deep Learning (20h)
Keras, CNN, TensorFlow, RNN
Un Data Scientist comprend et modélise les problématiques métier, il design et prototype des pipelines de Machine Learning afin d’apporter de la valeur aux données de l’entreprise.
Exploiter et interpréter les données pour répondre à des enjeux spécifiques
Identifier les nouvelles tendances et opportunités
To join our Data Scientist training program, having a bachelor level diploma in mathematics, statistics or science is recommended. However, regardless of any degree or diploma you have, our main requirement is that you can demonstrate the core competencies necessary to navigate our courses without significant obstacles. In addition to those hard skills, having good communication skills is preferable.
DataScientest stands out as the provider of hybrid training, blending 85% self-paced learning on our guided platform with 15% live masterclass sessions via videoconference. This unique approach ensures a balance between flexibility and structure, maintaining high standards without sacrificing either. Our pedagogical strategy is deliberately designed to foster motivated and effective learning.
To learn more about our training method, check this video.
Once you successfully complete your training, you will have acquired:
The evaluation process is designed to assess if the learner has attained the skills that are the primary focus of the program. The pedagogical team evaluates two key areas:
To achieve certification, the learner must successfully complete the professional scenarios and deliver a convincing final defense to the jury. A minimum score of 10 out of 20 is required in order the succeed.
The Data Scientist curriculum consists of several modules:
👉 Click here to request the complete training syllabus!
All our courses were designed by our expert Data Scientists at DataScientest. DataScientest commits to exclusively utilizing in-house resources and expertise, ensuring that no external service providers are engaged, nor is content acquired through purchase. The content is produced through meticulous efforts and close partnerships with leading European corporations, which we consistently support in their daily operations.
The total duration of a course is 400 hours, including 280 hours of training and 120 hours for the project.
The courses are organized in sprints:
Depending on the type of training chosen (bootcamp or continuing education), the training period on the platform takes place over one or more weeks.
If the content remains the same, the number of course hours differs depending on the format: 35 hours per week for bootcamps and 10 hours for continuing education
Obviously ! And who better to provide support than our teachers, who also designed the program. They are available and attentive to all questions, whether theoretical or practical, and will be able to demonstrate pedagogy in their response.
In addition, to ensure everyone’s completion and commitment, our teachers follow your progress closely . As soon as you stop logging in for an extended period, your cohort manager will hear from you: we won’t let you down!
Finally, our papers, exams and defenses are also corrected by hand by our panel of qualified teachers: everything is done so that everyone can progress effectively at their own pace. At DataScientest we are convinced that only personalized monitoring ensures quality learning!
Throughout your training, and as your skills are developed, you will carry out a data science project.
This project may come from our catalog, composed of various subjects, with technical business issues and using rich and complex data. You can also propose a personal project, as long as the data is accessible and our teaching team validates it.
It is an extremely effective way to move from theory to practice and to ensure that you apply the themes covered in class.
It is also a project highly appreciated by companies because it ensures the quality of the training and the knowledge acquired at the end of the Data Scientist training since the use of soft-skills is also very present.
In short, it is a project that will require a real investment: at least a third of your time spent on training will be on this project .
The project is supervised by a DataScientest mentor who will regularly discuss with you to ensure your progress and to guide you.
According to the data managers of the largest CAC 40 groups, knowing how to communicate both orally and in writing is more important than mastering the core business of the company for a Data Scientist.
We have therefore taken this into account in our curriculum which also emphasizes soft-skills with:
You will also have the opportunity to participate in CV workshops and career coaching via careers managers and the DataScientest HR team.
In addition, as a B2B leader in Data Science training , DataScientest enjoys a great reputation among companies who entrust it with the data science training of their teams. A fortiori, this confidence forges the recognition of one’s diplomas.
You can also finance your training by spreading your payments over 3, 6, 10 or 12 monthly installments, either to cover all the costs of the training or to cover the rest payable by the CPF.
Be that as it may, our teams are there to guide you through your administrative procedures for registering for the various funding aids.
To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject !
The ability to master data proves to be very valuable in certain professions such as researcher or actuary.
They benefit enormously from the added value that data science brings, just like most quantitative professions that involve statistics.
Data knowledge opens new doors and creates new opportunities.
To answer this question, we conducted our own survey of around forty partner companies .
Depending on the sector and the company, the salary of a Junior Data Scientist is between 35 and 50,000 € per year .
After 4 years of experience , this salary increases considerably and fluctuates between 50 and 65,000 euros.
By becoming a Data Scientist, you will practice one of the main professions of Machine Learning .
In order to master the entire spectrum of Machine Learning and in particular the engineering part and the production of models, the Data Scientist can follow our new Machine Learning Engineer course and acquire the skills of the Data Engineer.
Combined with the Amazon Certified Cloud Practitioner certification, this course will allow you in a few months to attract the largest European companies.
Our surveys reveal that the overall integration rate (all professions combined) 6 months after the end of the training is 100%, while the integration rate in the targeted profession is 67%. In this survey, we count 91% of Data Scientists.
Beta tests are available for our alumni in order to gain data knowledge even after the end of the training.
In parallel, newsletters drawn up by our data scientists are regularly sent and are a reliable source of specialized information in data science.
Finally, the DataScientest community continues to grow, and with it all of its alumni. To keep in touch and allow former students to communicate with each other, DataScientest has set up a group of alumni on LinkedIn who share and discuss various themes around Data Science.
Questions, tips, and technology news are shared on this page for the benefit of all. You will be invited to join it at the beginning of your training. Also on the agenda: are business opportunities, networking, and events (trade shows, Data Challenges…).
This has made it possible to create strong links with the major groups, which have ensured the growth of our structure.
Initially, DataScientest supported the data transition of companies . This has made it possible to create strong links between the major groups which have ensured the growth of our structure .
Thanks to our experience and these privileged relationships, we regularly organize recruitment fairs with our partner companies for all our students and alumni. Among the latest participants: are Mano Mano, OnePoint, JellySmack, Crédit Agricole, Little Big Code, and Job Teaser, among many others. Our career service also relays throughout the year offers from our partners via our promotional channels, where you can apply directly.
On the strength of our past with large companies, we then signed partnerships linked to the hiring of our alumni . All the partner companies undertake to include all our students at the end of their training in their recruitment process : this, coupled with help with CVs and interviews, means that you will be in pole position to land the job of your dreams!
With our experience with large companies, we regularly organize recruitment fairs with our partner companies, addressed to all our students and alumni.
On the first day of your entry into training, a platform dedicated to career services containing all the workshops essential to your job search will be presented to you.
You can access it continuously, even after the end of your training.
Mathilde and Morgane, our career managers are entirely dedicated to you throughout your training. It is possible to make an appointment individually with one of them in order to accompany you and answer any questions you may have about your career plan.
In addition to this, career workshops are organized every month:
In addition to these subjects, there are other workshops to be defined according to individual needs. On the other hand, concrete actions are implemented to support you in your job search: recruitment fair organized by DataScientest with its partner companies, organization of Webinars with data experts, communication actions to boost your visibility (CV competition, DataDays, project articles published on the blog and external reference media).
To find out about all of DataScientest’s career support actions, click on this link .
Reconnues par l’État, nos formations en Data Science sont éligibles au CPF.
Grâce à nos liens forts avec les entreprises et notre taux d’employabilité élevé, le Pôle Emploi – via l’AIF – finance aussi certains apprenants !
Découvrez si vous êtes éligibles!
To join our Data Scientist training program, having a bachelor level diploma in mathematics, statistics or science is recommended. However, regardless of any degree or diploma you have, our main requirement is that you can demonstrate the core competencies necessary to navigate our courses without significant obstacles. In addition to those hard skills, having good communication skills is preferable.
DataScientest stands out as the provider of hybrid training, blending 85% self-paced learning on our guided platform with 15% live masterclass sessions via videoconference. This unique approach ensures a balance between flexibility and structure, maintaining high standards without sacrificing either. Our pedagogical strategy is deliberately designed to foster motivated and effective learning.
To learn more about our training method, check this video.
Once you successfully complete your training, you will have acquired:
The evaluation process is designed to assess if the learner has attained the skills that are the primary focus of the program. The pedagogical team evaluates two key areas:
To achieve certification, the learner must successfully complete the professional scenarios and deliver a convincing final defense to the jury. A minimum score of 10 out of 20 is required in order the succeed.
The Data Scientist curriculum consists of several modules:
👉 Click here to request the complete training syllabus!
All our courses were designed by our expert Data Scientists at DataScientest. DataScientest commits to exclusively utilizing in-house resources and expertise, ensuring that no external service providers are engaged, nor is content acquired through purchase. The content is produced through meticulous efforts and close partnerships with leading European corporations, which we consistently support in their daily operations.
The total duration of a course is 400 hours, including 280 hours of training and 120 hours for the project.
The courses are organized in sprints:
Depending on the type of training chosen (bootcamp or continuing education), the training period on the platform takes place over one or more weeks.
If the content remains the same, the number of course hours differs depending on the format: 35 hours per week for bootcamps and 10 hours for continuing education
Obviously ! And who better to provide support than our teachers, who also designed the program. They are available and attentive to all questions, whether theoretical or practical, and will be able to demonstrate pedagogy in their response.
In addition, to ensure everyone’s completion and commitment, our teachers follow your progress closely . As soon as you stop logging in for an extended period, your cohort manager will hear from you: we won’t let you down!
Finally, our papers, exams and defenses are also corrected by hand by our panel of qualified teachers: everything is done so that everyone can progress effectively at their own pace. At DataScientest we are convinced that only personalized monitoring ensures quality learning!
Throughout your training, and as your skills are developed, you will carry out a data science project.
This project may come from our catalog, composed of various subjects, with technical business issues and using rich and complex data. You can also propose a personal project, as long as the data is accessible and our teaching team validates it.
It is an extremely effective way to move from theory to practice and to ensure that you apply the themes covered in class.
It is also a project highly appreciated by companies because it ensures the quality of the training and the knowledge acquired at the end of the Data Scientist training since the use of soft-skills is also very present.
In short, it is a project that will require a real investment: at least a third of your time spent on training will be on this project .
The project is supervised by a DataScientest mentor who will regularly discuss with you to ensure your progress and to guide you.
According to the data managers of the largest CAC 40 groups, knowing how to communicate both orally and in writing is more important than mastering the core business of the company for a Data Scientist.
We have therefore taken this into account in our curriculum which also emphasizes soft-skills with:
You will also have the opportunity to participate in CV workshops and career coaching via careers managers and the DataScientest HR team.
In addition, as a B2B leader in Data Science training , DataScientest enjoys a great reputation among companies who entrust it with the data science training of their teams. A fortiori, this confidence forges the recognition of one’s diplomas.
You can also finance your training by spreading your payments over 3, 6, 10 or 12 monthly installments, either to cover all the costs of the training or to cover the rest payable by the CPF.
Be that as it may, our teams are there to guide you through your administrative procedures for registering for the various funding aids.
To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject !
The ability to master data proves to be very valuable in certain professions such as researcher or actuary.
They benefit enormously from the added value that data science brings, just like most quantitative professions that involve statistics.
Data knowledge opens new doors and creates new opportunities.
To answer this question, we conducted our own survey of around forty partner companies .
Depending on the sector and the company, the salary of a Junior Data Scientist is between 35 and 50,000 € per year .
After 4 years of experience , this salary increases considerably and fluctuates between 50 and 65,000 euros.
By becoming a Data Scientist, you will practice one of the main professions of Machine Learning .
In order to master the entire spectrum of Machine Learning and in particular the engineering part and the production of models, the Data Scientist can follow our new Machine Learning Engineer course and acquire the skills of the Data Engineer.
Combined with the Amazon Certified Cloud Practitioner certification, this course will allow you in a few months to attract the largest European companies.
Our surveys reveal that the overall integration rate (all professions combined) 6 months after the end of the training is 100%, while the integration rate in the targeted profession is 67%. In this survey, we count 91% of Data Scientists.
Beta tests are available for our alumni in order to gain data knowledge even after the end of the training.
In parallel, newsletters drawn up by our data scientists are regularly sent and are a reliable source of specialized information in data science.
Finally, the DataScientest community continues to grow, and with it all of its alumni. To keep in touch and allow former students to communicate with each other, DataScientest has set up a group of alumni on LinkedIn who share and discuss various themes around Data Science.
Questions, tips, and technology news are shared on this page for the benefit of all. You will be invited to join it at the beginning of your training. Also on the agenda: are business opportunities, networking, and events (trade shows, Data Challenges…).
This has made it possible to create strong links with the major groups, which have ensured the growth of our structure.
Initially, DataScientest supported the data transition of companies . This has made it possible to create strong links between the major groups which have ensured the growth of our structure .
Thanks to our experience and these privileged relationships, we regularly organize recruitment fairs with our partner companies for all our students and alumni. Among the latest participants: are Mano Mano, OnePoint, JellySmack, Crédit Agricole, Little Big Code, and Job Teaser, among many others. Our career service also relays throughout the year offers from our partners via our promotional channels, where you can apply directly.
On the strength of our past with large companies, we then signed partnerships linked to the hiring of our alumni . All the partner companies undertake to include all our students at the end of their training in their recruitment process : this, coupled with help with CVs and interviews, means that you will be in pole position to land the job of your dreams!
With our experience with large companies, we regularly organize recruitment fairs with our partner companies, addressed to all our students and alumni.
On the first day of your entry into training, a platform dedicated to career services containing all the workshops essential to your job search will be presented to you.
You can access it continuously, even after the end of your training.
Mathilde and Morgane, our career managers are entirely dedicated to you throughout your training. It is possible to make an appointment individually with one of them in order to accompany you and answer any questions you may have about your career plan.
In addition to this, career workshops are organized every month:
In addition to these subjects, there are other workshops to be defined according to individual needs. On the other hand, concrete actions are implemented to support you in your job search: recruitment fair organized by DataScientest with its partner companies, organization of Webinars with data experts, communication actions to boost your visibility (CV competition, DataDays, project articles published on the blog and external reference media).
To find out about all of DataScientest’s career support actions, click on this link .
Reconnues par l’État, nos formations en Data Science sont éligibles au CPF.
Grâce à nos liens forts avec les entreprises et notre taux d’employabilité élevé, le Pôle Emploi – via l’AIF – finance aussi certains apprenants !
Découvrez si vous êtes éligibles!
