career path

Data Analyst Course

Bootcamp (9 weeks)
or
Part-time (6 months)
Get a recognized diploma, support until you are hired and a flexible job that is in high demand.
NEXT ENTRY
September 06, 2022
PRICE OF THE TRAINING
5000 €​
logo sorbonne
Certificate delivered by University La Sorbonne

Training content​

1. Introduction to Python

Python basics, Numpy, Pandas

2. Data Visualisation

Matplotlib, Seaborn, Art of Storytelling

3. Machine Learning

Scikit-Learn, Supervised learning, Unsupervised learning

4. Analysis of data

Dimension reduction, clustering

5. Data mining and management

Text Mining, Webscraping

6. Business intelligence

Power Bi, Table

7. Big Data / Database

PySpark, SQL

2. Data Visualisation

Matplotlib, Seaborn, Art of Storytelling

4. Analysis of data

Dimension reduction, clustering

6. Business intelligence

Power Bi, Table

Throughout your Data Analyst training, you will carry out an 80-hour project.
The objective: apply what you’ve learned to a real project (which you can choose!) and benefit from a first concrete experience to add to your portfolio.

You will have the opportunity to prepare for the Microsoft PL-900 certification and become Microsoft Certified Power Platform Fundamentals.

A Data Analyst's missions

A Data Analyst processes data to extract information to address specific issues. He/she uses business intelligence tools to analyze data and create dashboards to help the organization make decisions.

Study

Clean and identify data needed for analysis.

Elaborate

Use and interpret data to address specific issues.

Retrieve

Identify new trends and opportunities.

Modeling

Build Dashboards to provide a relevant view of business results.

Do you have any questions? We have the answers.

Accordion Content

New technologies have evolved in such a way that we now have an astronomical amount of data. One of the first sources? Businesses. From then on, their challenge became to succeed in understanding and sorting this data. To do this, new professions have emerged. Among them, the profession of Data Analyst is one of the first to have emerged from the Data sphere, for the greater good of companies.

To better identify 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.)

Among the most sought-after data analyst skills, they prioritized in order:
Knowledge of the company and its business
Statistics
Programming
Office automation
Soft-skills: marketing, English and legal notions
Obviously, the objective of the Data Analyst is to master each of these fields of competences as well as possible: the must is of course a training specific to this profession which will know how to professionalize you and emphasize each of these aspects.

Discover our file   if you want to discover the profession of Data Analyst in its entirety: missions, required skills, salaries. Click here ! 

For more information, see the video.

The missions of the Data Analyst are plural and call upon varied skills:

Data collection, processing and analysis
Design of data visualizations/dataviz and dissemination of reports for decision-making
Detection of models and opportunities from collected
Data Data acquisition in collaboration with other Data businesses (data architect , data steward, etc.
Depending on the type and size of the structure in which the Data Analyst works, his functions and tasks can obviously change or lean more towards a form of action.

The Data Analyst’s key questions 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 should be taken?
Would you like to know more about the missions of the Data Analyst? Click here ! 

For more information, see the video.

Accordion Content

This training is offered to individuals holding a bac+2 with business or scientific components as well as notions of marketing and statistics.

Once registered on the site, a member of our teams will contact you to discuss your background and your professional project. This is to ensure that the training you want to follow is consistent with your expectations.

Before starting training, you will have to pass a technical positioning test. It covers mathematical notions of probability/statistics and basic algebra (level L1/L2 mathematics).

Then, a member of our admissions team contacts you to communicate the results and discuss your motivations and the relevance of your project. So far, there is no commitment with DataScientest and you can therefore decide at any time not to continue your steps.

The registration phase only begins once the project has been confirmed. From that moment, our teams take care of starting your Data Analyst bootcamp or your continuing education and organizing it with you in all its practical aspects, whether it is continuing professional training or in bootcamp format.

To combine flexibility and motivation, DataScientest’s pedagogy is based on hybrid professional training. This makes it possible to combine flexibility and rigor without compromising on one or the other. A 100% distance training combining synchronous (masterclass) and asynchronous times (courses and exercises on the ready-to-code platform) so that motivation is always there. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference.

The courses are given by videoconference but the follow-up remains the same with teachers available and attentive to your progress throughout your training.

Our Data Analyst training is designed to enable you to develop the following skills:

  • Read and understand Python code
  • Manipulate and manage tables of data (key skill in Machine Learning)
  • Putting Data Visualization at the service of data analysis
  • Produce simple statistical graphs at the crossroads 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 unsupervised machine learning issues
  • Process massive datasets and apply machine learning models to large databases
  • Master advanced tools in Data Analysis to guide business strategy

Today, more and more companies are looking for a simple and effective way to create their own solution in order to better manage their company, meet the challenges they face and boost their productivity. Through various services such as Power BI, Power Apps, Power Automate and Power Virtual Agents, Microsoft offers you the possibility of generating simple dashboards, creating applications without going through programming, automating different processes and create AI-powered chatbots.

With the Data Analyst course, DataScientest offers you training for the passage of this certification to allow you to learn how to discover the different services of Microsoft Power Platform. At the end of this training, you will have the choice to take the official Microsoft certification and become Microsoft Certified Power Platform Fundamentals.

Accordion Content

To receive the complete syllabus, click here!

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 major European groups.

The Data Analyst course consists of:

Introduction to Python
Dataviz or Data Visualization
Machine Learning
Database/ Big Data
Extraction and management of text data
Business Intelligence
The total duration of a course is 300 hours.

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 any questions, whether theoretical or practical.

They also follow the progress of learners closely so that everyone is neither neglected nor demotivated. Each disconnection of a certain duration will be communicated to your cohort manager who will then hear from you so as not to let you drop out!

Finally, our qualified teachers are responsible for correcting the papers, exams and defenses by hand so that each of our learners progresses effectively and at their own pace.

DataScientest is convinced that quality learning requires personalized follow-up!

If we refer to the Data managers of the large groups of the CAC 40, it is more important for a Data Analyst to know how to communicate in writing and orally, than to ensure the specificity of the business of the company.

Therefore, we have integrated modules into our curriculum to exercise these soft skills with:

  • Data classes around project management or management tools
  • For those who wish, the possibility of participating in CV workshops and career coaching via careers managers and the DataScientest HR team.

Throughout your training, and as your skills are developed, you will lead a data analyst project.

It will not be a standardized and imposed data science project: it will be up to you (in pairs or three) to determine the subject and pitch it to our teams who validate it or not. Obviously this adds difficulty and also realism: uncleaned data, unpre-trained models, but our teachers are there to help you at every stage of this project.

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 Analyst training. Skills that are not only technical since soft-skills are also highlighted:

Transmit information
Present and popularize your work
Enhance the data via data visualization (dashboard…)
In short, this is a project that will require a real investment: at least a third of your time spent on training will be spent on this project.

Each major step highlights a new aspect covered in class. The project is supervised by a mentorship with your educational director to ensure your progress and understanding throughout your training.

Our Data Analyst training will allow you to obtain a training certificate issued by the Sorbonne.

You can therefore benefit from the recognition of a world-class university. This training certificate is a guarantee of quality guaranteeing complete content for each of our learners.

As a B2B leader in Data Science training, DataScientest enjoys a great reputation among companies that entrust it with training their teams in data professions.

With a view to having the skills developed by the training recognised, a request for registration of the “Data Analyst” certification at the RNCP is being examined by France Competences. 

If you are registered with Pôle Emploi, you are potentially eligible for AIF, individual training assistance.

You have the option of paying in 3, 6, 10 or 12 monthly installments. To know the conditions of this payment system, click here. 

To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject! Discover it by clicking here.

Accordion Content
Being able to master Data is a valuable and sought-after skill in many jobs today. Thus, data sciences are becoming more and more essential for the transformation of companies. Training in these professions therefore amounts to opening up to new opportunities and numerous advantages.

The salary of a Junior Data Analyst is on average €41,000 per year depending on the sector and company.
The range extends from €35,000 to €45,000 per year.

After 3 years of experience, the status of Confirmed Data Analyst comes with a higher salary of between €50,000 and €55,000. These data come from our survey, details of which are available in this article. 

Once his training is finished, the Data Analyst can deepen his training and train in the profession of Data Scientist, training also available on DataScientest.com or on other platforms.

For more information, check out the video.

According to the study conducted among the 2019 and 2020 promotions of the Data analyst course, 82% of them found a job as a Data Analyst within 6 months after the end of the training.

Newsletters developed by our data scientists are sent regularly and are a reliable source of specialized data science information.

At the same time, 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.

The DatAlumni community   is a LinkedIn community that brings together DataScientest alumni. On this page , questions, tips and technology news are shared for everyone’s benefit.

In addition to this, DataScientest will launch in the coming weeks a trombinoscope which will put alumni in contact, this one will include the company and the position of each one.

Initially, DataScientest supported the data transition of companies. This has made it possible to create strong links with the major groups which have ensured the growth of our structure.

Thanks to our experience with large companies, we regularly organize recruitment fairs for all our students and alumni with our partner companies. 

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:

  • A workshop to help you write a good CV and data-oriented Linkedin
  • A workshop to help you strategize your job search with different topics on presentation, career change, salary negotiation and technical test training. In addition to these subjects, there are other workshops to be defined according to individual needs.

On the other hand, concrete actions are put in place 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.

Accordion Content

New technologies have evolved in such a way that we now have an astronomical amount of data. One of the first sources? Businesses. From then on, their challenge became to succeed in understanding and sorting this data. To do this, new professions have emerged. Among them, the profession of Data Analyst is one of the first to have emerged from the Data sphere, for the greater good of companies.

To better identify 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.)

Among the most sought-after data analyst skills, they prioritized in order:
Knowledge of the company and its business
Statistics
Programming
Office automation
Soft-skills: marketing, English and legal notions
Obviously, the objective of the Data Analyst is to master each of these fields of competences as well as possible: the must is of course a training specific to this profession which will know how to professionalize you and emphasize each of these aspects.

Discover our file   if you want to discover the profession of Data Analyst in its entirety: missions, required skills, salaries. Click here ! 

For more information, see the video.

The missions of the Data Analyst are plural and call upon varied skills:

Data collection, processing and analysis
Design of data visualizations/dataviz and dissemination of reports for decision-making
Detection of models and opportunities from collected
Data Data acquisition in collaboration with other Data businesses (data architect , data steward, etc.
Depending on the type and size of the structure in which the Data Analyst works, his functions and tasks can obviously change or lean more towards a form of action.

The Data Analyst’s key questions 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 should be taken?
Would you like to know more about the missions of the Data Analyst? Click here ! 

For more information, see the video.

Accordion Content

This training is offered to individuals holding a bac+2 with business or scientific components as well as notions of marketing and statistics.

Once registered on the site, a member of our teams will contact you to discuss your background and your professional project. This is to ensure that the training you want to follow is consistent with your expectations.

Before starting training, you will have to pass a technical positioning test. It covers mathematical notions of probability/statistics and basic algebra (level L1/L2 mathematics).

Then, a member of our admissions team contacts you to communicate the results and discuss your motivations and the relevance of your project. So far, there is no commitment with DataScientest and you can therefore decide at any time not to continue your steps.

The registration phase only begins once the project has been confirmed. From that moment, our teams take care of starting your Data Analyst bootcamp or your continuing education and organizing it with you in all its practical aspects, whether it is continuing professional training or in bootcamp format.

To combine flexibility and motivation, DataScientest’s pedagogy is based on hybrid professional training. This makes it possible to combine flexibility and rigor without compromising on one or the other. A 100% distance training combining synchronous (masterclass) and asynchronous times (courses and exercises on the ready-to-code platform) so that motivation is always there. This translates into 85% learning on the coached platform and 15% masterclass session by videoconference.

The courses are given by videoconference but the follow-up remains the same with teachers available and attentive to your progress throughout your training.

Our Data Analyst training is designed to enable you to develop the following skills:

  • Read and understand Python code
  • Manipulate and manage tables of data (key skill in Machine Learning)
  • Putting Data Visualization at the service of data analysis
  • Produce simple statistical graphs at the crossroads 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 unsupervised machine learning issues
  • Process massive datasets and apply machine learning models to large databases
  • Master advanced tools in Data Analysis to guide business strategy

Today, more and more companies are looking for a simple and effective way to create their own solution in order to better manage their company, meet the challenges they face and boost their productivity. Through various services such as Power BI, Power Apps, Power Automate and Power Virtual Agents, Microsoft offers you the possibility of generating simple dashboards, creating applications without going through programming, automating different processes and create AI-powered chatbots.

With the Data Analyst course, DataScientest offers you training for the passage of this certification to allow you to learn how to discover the different services of Microsoft Power Platform. At the end of this training, you will have the choice to take the official Microsoft certification and become Microsoft Certified Power Platform Fundamentals.

Accordion Content

To receive the complete syllabus, click here!

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 major European groups.

The Data Analyst course consists of:

Introduction to Python
Dataviz or Data Visualization
Machine Learning
Database/ Big Data
Extraction and management of text data
Business Intelligence
The total duration of a course is 300 hours.

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 any questions, whether theoretical or practical.

They also follow the progress of learners closely so that everyone is neither neglected nor demotivated. Each disconnection of a certain duration will be communicated to your cohort manager who will then hear from you so as not to let you drop out!

Finally, our qualified teachers are responsible for correcting the papers, exams and defenses by hand so that each of our learners progresses effectively and at their own pace.

DataScientest is convinced that quality learning requires personalized follow-up!

If we refer to the Data managers of the large groups of the CAC 40, it is more important for a Data Analyst to know how to communicate in writing and orally, than to ensure the specificity of the business of the company.

Therefore, we have integrated modules into our curriculum to exercise these soft skills with:

  • Data classes around project management or management tools
  • For those who wish, the possibility of participating in CV workshops and career coaching via careers managers and the DataScientest HR team.

Throughout your training, and as your skills are developed, you will lead a data analyst project.

It will not be a standardized and imposed data science project: it will be up to you (in pairs or three) to determine the subject and pitch it to our teams who validate it or not. Obviously this adds difficulty and also realism: uncleaned data, unpre-trained models, but our teachers are there to help you at every stage of this project.

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 Analyst training. Skills that are not only technical since soft-skills are also highlighted:

Transmit information
Present and popularize your work
Enhance the data via data visualization (dashboard…)
In short, this is a project that will require a real investment: at least a third of your time spent on training will be spent on this project.

Each major step highlights a new aspect covered in class. The project is supervised by a mentorship with your educational director to ensure your progress and understanding throughout your training.

Our Data Analyst training will allow you to obtain a training certificate issued by the Sorbonne.

You can therefore benefit from the recognition of a world-class university. This training certificate is a guarantee of quality guaranteeing complete content for each of our learners.

As a B2B leader in Data Science training, DataScientest enjoys a great reputation among companies that entrust it with training their teams in data professions.

With a view to having the skills developed by the training recognised, a request for registration of the “Data Analyst” certification at the RNCP is being examined by France Competences. 

If you are registered with Pôle Emploi, you are potentially eligible for AIF, individual training assistance.

You have the option of paying in 3, 6, 10 or 12 monthly installments. To know the conditions of this payment system, click here. 

To find all the financing possibilities, nothing could be simpler: we have created a page dedicated to the subject! Discover it by clicking here.

Accordion Content
Being able to master Data is a valuable and sought-after skill in many jobs today. Thus, data sciences are becoming more and more essential for the transformation of companies. Training in these professions therefore amounts to opening up to new opportunities and numerous advantages.

The salary of a Junior Data Analyst is on average €41,000 per year depending on the sector and company.
The range extends from €35,000 to €45,000 per year.

After 3 years of experience, the status of Confirmed Data Analyst comes with a higher salary of between €50,000 and €55,000. These data come from our survey, details of which are available in this article. 

Once his training is finished, the Data Analyst can deepen his training and train in the profession of Data Scientist, training also available on DataScientest.com or on other platforms.

For more information, check out the video.

According to the study conducted among the 2019 and 2020 promotions of the Data analyst course, 82% of them found a job as a Data Analyst within 6 months after the end of the training.

Newsletters developed by our data scientists are sent regularly and are a reliable source of specialized data science information.

At the same time, 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.

The DatAlumni community   is a LinkedIn community that brings together DataScientest alumni. On this page , questions, tips and technology news are shared for everyone’s benefit.

In addition to this, DataScientest will launch in the coming weeks a trombinoscope which will put alumni in contact, this one will include the company and the position of each one.

Initially, DataScientest supported the data transition of companies. This has made it possible to create strong links with the major groups which have ensured the growth of our structure.

Thanks to our experience with large companies, we regularly organize recruitment fairs for all our students and alumni with our partner companies. 

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:

  • A workshop to help you write a good CV and data-oriented Linkedin
  • A workshop to help you strategize your job search with different topics on presentation, career change, salary negotiation and technical test training. In addition to these subjects, there are other workshops to be defined according to individual needs.

On the other hand, concrete actions are put in place 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.

Are you interested?