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35h per week
February 02, 2021
March 02, 2021
April 06, 2021
10h per week
February 02, 2021
March 02, 2021
April 06, 2021
Launches are planned every month
Conduct market research by extracting data from sites and social networks
Elaborate the segmentation criteria of a CRM database
Build dashboards in order to communicate a relevant vision of the activities to the different teams.
Exploratory and descriptive study
Generation of reports
Know how to represent problems and master data visualization
Create dashboards, hypothesis tests, etc.
Use spreadsheets to perform simple analysis on small amounts of data
Use SQL for more important analysis
Are you still hesitating on the route to choose closest to your expectations?
A member of our DataScientest team will be happy to help you make the right choice
The Data Analyst job :
New technologies have evolved to the point where we now have an astronomical amount of data. One of the first sources? Companies. From then on, their challenge has become to understand and sort this data. To do this, new professions have emerged. Among them, Data Analysts are one of the first professions to have emerged from the Data sphere, for the greater good of companies.
To better understand the most important skills for a Data Analyst in 2020, we interviewed 25 Data managers from CAC 40 groups (Crédit Agricole, BNP Paribas, AXA, etc.).
Their most important skills are in order of priority:
- The knowledge of the company and its line-of-work
- The mastery of statistics
- Office automation and programming
- Soft-skills: marketing, English and legal notions
- Obviously, Data Analysts’ objective are to master each of these skills as well as possible.
Typical Data Analyst missions are plural and call for a variety of skills:
- Production, layout and communication of reports
- Data analysis, study and processing
- Detection of models from collected data
- Data acquisition in collaboration with the other Data professions (data architect, data steward…)
Depending on the type and size of the structure in which the Data Analyst works, his functions and tasks may obviously change or lean more towards one form of action.
Data Analysts’ tasks are based on the four different types of analytics:
- “Descriptive analytics” : What happened?
- “Diagnostic analytics” : Why did this happen?
- “Predictive analytics” : What is likely to happen?
- “Prescriptive analytics” : What actions need to be taken?
Our course :
To follow our data analyst training, a scientific or mathematical background is required. These prerequisites exist because this job, although centered on data, also requires a solid foundation in mathematics and especially in statistics.
This good knowledge of statistical basics, in addition to being useful to the data analyst job, also makes it easier to approach new notions with more serenity and overview. It is preferable to have a background in statistics and probability to follow the training. Indeed, these tools are used by the data analyst in order to reach concrete conclusions from a large amount of data. To analyze these elements in the best possible way, the data analyst uses Machine Learning; a good knowledge of Excel and BI tools is also highly recommended.
In addition, a solid foundation in marketing and oral/written communication is necessary to be able to meet the expectations.
Once you have registered on our site, a member of our teams will contact you to present DataScientest, our offers and discuss your career path and the training you want to follow so that it may be consistent with your expectations.
To identify your level at the beginning of the training, you will have to take a technical positioning test. It covers mathematical notions of probability/statistics and basic algebra (High School level mathematics).
Then, a member of our admissions team will contact you with the results and discuss your motivations and the relevance of your project.
Until then, there is no commitment with DataScientest and you can therefore decide at any time not to pursue your project.
The registration phase only begins once your project has been confirmed. From then on, our teams will take care of starting your Data Analysis training and organizing it with you in all its practical aspects.
To combine flexibility and motivation, DataScientest offers hybrid training that combines distance and face-to-face training so that motivation is always there.
Note that it is possible to follow this training at a distance. The courses are given by videoconference but the follow-up remains the same with teachers who are available and attentive to your progress throughout the course
- Read and understand Python code
- Manipulate and manage data tables (Machine Learning core competency)
- Putting Data Visualization at the Service of Data Analysis
- Produce simple statistical graphs at the intersection of Data Visualization and Data Analysis
- Implement a classic Machine Learning algorithm and use it on text data
- Evaluate a model using cross-validation and different metrics
- Identify problems with unsupervised Machine Learning
- Process massive datasets and apply Machine Learning models to large databases
- Master advanced Data Analysis tools to support business strategy
Le cursus :
- Introduction à Python
- Machine Learning
- Database/Big Data
- Extraction and management of text data
- Business Intelligence.
Of course! And who better to provide support than our teachers, who also designed the program. They are available and ready to listen to all questions, whether theoretical or practical.
They also follow the progress of the learners closely so that everyone is neither hurt nor demotivated. Each disconnection of a certain duration will be communicated to your cohort leader, who will then keep in touch with you so that you don’t get lost!
Finally, our qualified teachers are in charge of hand correcting the papers, exams and papers so that each of our learners progresses efficiently and at his or her own pace.
DataScientest is convinced that quality learning requires a personalized follow-up!
If we refer to CAC 40 companies’ data managers, for a Data Analyst, it is more important to know how to communicate than to know the core business of a company.
Consequently, we have integrated modules into our curriculum that allow these soft skills to be practiced with
- Data class around project management or management tools that are now part of the syllabus.
- For those who wish, the possibility to participate in CV workshops and career coaching via the career managers and the HR team of DataScientest is a possibility.
As part of our partnership with Panthéon Sorbonne, each of our Data Scientist, Data Analyst and Data Engineer training courses are now certified by La Sorbonne. You can now benefit from the recognition of a world-class university. These certifications are a pledge of quality that guarantees a complete content adapted to each of our learners.
As a B2B leader in data science training, DataScientest is well known by companies who entrust it with the data science training of their teams.
Finally, the Data Analyst diploma benefits from a level 6 RNCP title delivered by the French Government.
If you are registered at Pôle Emploi, you are potentially eligible for the AIF.
You will then be able to benefit from a grant of up to 2000€.
Whatever the case, our teams are there to guide you through the administrative procedures for registering for the various funding programs.
To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject!
A Data Analyst’s career
Knowing how to master data is a valuable and sought-after skill in several quantitative professions where the contribution of data sciences is increasingly taken into account. In fact, thanks to Data, new doors are being opened to them, and many advantages are within their reach.
The salary of a Junior Data Analyst is on average between 40 and 45 000€ per year depending on the sector and company.
After 3 years of experience, the status of Senior Data Analyst comes with a higher salary between 50 and 55 000€. These data are from our survey, the details of which are available in this article.
Once the training is completed, the Data Analyst can convert to Data Scientist, training also available on DataScientest.com or on other platforms.
Our support services after the end of the training course
At the end of the training you will have access to Beta-tests, to continue to improve your data knowledge.
At the same time, our Data Scientists regularly gather all the information in data science in our famous newsletters that you can receive by clicking here
Initially, DataScientest supported the data transition of companies. This allowed us to create strong links between the major groups that ensured the growth of our structure.
Subsequently, they were the ones who motivated the launch of our offer to individuals in order to compensate for the lack of competent profiles. This need for good profiles is reflected in the survey we conducted among 30 of the CAC 40 groups. Even with high budget constraints, only 4% believe they would reduce their data scientist numbers: by comparison, 28% would still seek to increase their numbers by more than 20% .
On the strength of our past with large companies, we then signed partnerships related to the hiring of our alumni. All our partner companies are committed to including all our students at the end of their training in their recruitment process: this, coupled with the help with CVs and interviews, means that you will be in pole position to get the job of your dreams!
Not only can we help you, but we are also in an ideal position to do so and make a success of your professional integration.
Of course, assessments are regularly made with our HR team who will follow you throughout your career.
When you are nearing the end of your training, a point is made during which you inform the sectors you wish to move towards.
Based on your information, we deposit your CV with our partner companies, and you are immediately registered in the recruitment process of these groups.