🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
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 !
Entry-Level Salary: After completing the Data Analyst training, entry-level positions typically offer salaries ranging from $50,000 to $65,000 per year in the United States. In Europe, entry-level salaries can range from €35,000 to €50,000 per year, depending on the country. These figures can vary based on factors such as the industry, company size, and geographic location.
Medium to Long Term: With several years of experience and a proven track record, Data Analysts can expect significant salary growth. In the medium to long term:
Factors Influencing Salary:
The Alumni community is a network of graduates who have completed their training with us. It serves as a platform for former students to stay connected, continue learning, and advance their careers. By joining the Alumni community, you can benefit from:
Joining the Alumni community helps you maintain the connections you’ve made during your training and provides ongoing support for your professional growth.
We collaborate with a network of leading companies across various industries such as technology, finance, healthcare, and more. Our partner companies include both well-established corporations and innovative startups that are at the forefront of their fields.
How We Select Our Partners:
By carefully selecting our partners, we ensure that our training remains relevant to current industry needs and that our students have access to valuable resources and career opportunities upon completion of their programs.
Yes, we provide support to help you in your job search after you complete your training with us. Our commitment to your success extends beyond the classroom, and we offer several resources to assist you in finding employment:
Career Coaching: We offer personalized guidance on resume writing, cover letters, and optimizing your LinkedIn profile to attract potential employers.
Interview Preparation: Gain confidence through mock interviews and receive feedback to improve your interview skills.
Job Opportunities: Access exclusive job listings from our network of partner companies actively seeking candidates with your skill set.
Networking Events: Participate in events, webinars, and workshops where you can connect with industry professionals and expand your professional network.
Alumni Community: Join our Alumni network to stay connected with fellow graduates, share job leads, and continue learning through shared experiences.
Our goal is to provide you with the tools and support necessary to successfully navigate the job market and advance your career in the data industry.
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 !
Entry-Level Salary: After completing the Data Analyst training, entry-level positions typically offer salaries ranging from $50,000 to $65,000 per year in the United States. In Europe, entry-level salaries can range from €35,000 to €50,000 per year, depending on the country. These figures can vary based on factors such as the industry, company size, and geographic location.
Medium to Long Term: With several years of experience and a proven track record, Data Analysts can expect significant salary growth. In the medium to long term:
Factors Influencing Salary:
The Alumni community is a network of graduates who have completed their training with us. It serves as a platform for former students to stay connected, continue learning, and advance their careers. By joining the Alumni community, you can benefit from:
Joining the Alumni community helps you maintain the connections you’ve made during your training and provides ongoing support for your professional growth.
We collaborate with a network of leading companies across various industries such as technology, finance, healthcare, and more. Our partner companies include both well-established corporations and innovative startups that are at the forefront of their fields.
How We Select Our Partners:
By carefully selecting our partners, we ensure that our training remains relevant to current industry needs and that our students have access to valuable resources and career opportunities upon completion of their programs.
Yes, we provide support to help you in your job search after you complete your training with us. Our commitment to your success extends beyond the classroom, and we offer several resources to assist you in finding employment:
Career Coaching: We offer personalized guidance on resume writing, cover letters, and optimizing your LinkedIn profile to attract potential employers.
Interview Preparation: Gain confidence through mock interviews and receive feedback to improve your interview skills.
Job Opportunities: Access exclusive job listings from our network of partner companies actively seeking candidates with your skill set.
Networking Events: Participate in events, webinars, and workshops where you can connect with industry professionals and expand your professional network.
Alumni Community: Join our Alumni network to stay connected with fellow graduates, share job leads, and continue learning through shared experiences.
Our goal is to provide you with the tools and support necessary to successfully navigate the job market and advance your career in the data industry.
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!
