What is a Data Scientist?
Data Scientist is the “sexiest job of the 21st century” according to the Harvard Business Review. Even if this statement is unanimous today, the definition of a Data Scientist struggles to be universal.
The colossal amounts of data available to companies are mines of information: the challenge is to know how to extract its potential and draw useful conclusions from it thanks to Data Science. The Data Scientist’s mission is to implement algorithms based on data in order to respond to all types of problems ranging from stock optimization to weather prediction.
In a survey we conducted in June 2021 among 30 CAC 40 groups (Crédit Agricole, BNP Paribas, AXA, etc.), the four most important Data Scientist skills were in order:
If the Data Scientist who perfectly masters these four aspects can be difficult to find, specialized training allows you to be up to date on these key points in order to meet the expectations of recruiters and succeed in your professional project.
What are the missions of a Data Scientist?
From the raw data, the Data Scientist develops algorithms with a view to responding to issues such as:
What Skills will you have acquired at the end of the course?
At the end of your training, you will have:
How is the course structured?
The course consists of several modules:
The themes for Data Scientist training are as follows: Programming in Python, Data Visualization, Machine Learning, Advanced Machine Learning, Big Data / Database, Deep Learning, Complex Systems and AI .
Click here to request the complete training syllabus!
All courses were created by our expert Data Scientists. DataScientest undertakes never to use external service providers or to buy back content. The content is the result of rigorous work carried out in close collaboration with the major European groups that we support on a daily basis .
The total duration of a course is 400 hours including 280 hours of training and 120 hours for the project.
The courses are based on the principle of sprints:
First, the learning platform allows you to practice and validate your modules which will allow you to obtain your certifications at the end of the program
Then, the project confirms the skills acquired, it must be completed, make a progress report and submit a deliverable to our teaching teams.
In addition to the asynchronous courses, each sprint includes a videoconference Masterclass which allows you to take stock of the skills developed, to determine the objectives for the next sprint and to assimilate the concepts directly with your teachers.
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. The Bootcamp will have a total duration of 11 weeks, and the part-time course a total duration of 9 months.
Does the course have any prerequisites?
To join the Data Scientist training, we advise you to have the knowledge equivalent to a bachelor level diploma in mathematics, statistics or science. That said, it is most important that you have the necessary knowledge regardless of the degree or diploma that you hold. In addition to that, you also need to have good communication skills.
These prerequisites exist because although the training is centered on data science , and not mathematics, these are necessary for a good understanding of the logical principles of the concepts discussed.
What is the training format?
DataScientest is the only organization to offer hybrid online training. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference in order to combine flexibility and rigor without compromising on one or the other. It is a carefully considered choice that motivates our pedagogy to allow learning to be carried out with motivation.
Learn to Code
Like and share!
IT news, courses, and events. Get personalized offers right in your mailbox from Course Finder team. Just let us know you are interested.