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career path

Data Analyst Course

Bootcamp (11 weeks)
or
Part-time (7,5 months)
Get a recognized diploma, support until you are hired and a flexible job that is in high demand.
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OUR NEXT ENTRIES ARE:
October 01, 2024
November 05, 2024
December 03, 2024
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Certificate delivered by University La Sorbonne

Training content​

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Introduction to Python (45h)

  • Python fundamentals
  • NumPy
  • Pandas
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Data Visualization (35h)

  • Matplotlib
  • Seaborn
  • Art of Storytelling
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Machine Learning (35h)

  • Scikit-Learn
  • Supervised learning
  • Unsupervised learning
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Analysis of data (25h)

  • Dimension reduction
  • Clustering
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Data mining and management (25h)

  • Text Mining
  • Webscraping
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Business Intelligence (30h)

  • Power BI
  • Tableau
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Big Data/Database (25h)

  • PySpark
  • SQL

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.
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A hybrid learning format

Combining flexible learning on a platform and Masterclasses led by a Data Scientist, this mix has attracted more than 6000 alumni, and gives our training courses a completion rate of +98%!

Our teaching method is based on learning by doing:

  • Practical application: All our training modules include online exercises so that you can implement the concepts developed in the course.
  • Masterclass: For each sprint, 1 to 2 Masterclasses are organized live with a tutor to address current technologies, methods, and tools in the field of machine learning and data science.
Discover the pedagogy
Discover the pedagogy

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.

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Discover Learn, our learning platform

A user-friendly, comprehensive interface for a tailor-made learning experience. An enhanced platform and premium coaching.

Discover the platform

Key figures of the training

95,6 %

Success rate

94,4 %

Completion rate

96,9 %

Satisfaction rate

86 %

Insertion rate

Our goal is to make our courses affordable and open to everyone - regardless of one's current situation. This means we do our best to offer as many financing options as possible.

If you live in France, you can benefit from several financing options:

  • CPF: If you have already worked in France, you may have accumulated a budget allocated for training, which allows you to finance your training via your CPF account
  • Personal financing: It is possible to spread out your payment in several instalments in order to finance your training.
  • Company financing: If you are an employee, you can have your training financed by your company.
  • Pôle Emploi: If you are a job seeker and registered with Pôle Emploi, it is possible to benefit from total or partial financing via Pôle Emploi.
  • Transitions Pro: Do you want to retrain while keeping your job? You can use the system via Transitions Pro.
  • Region: If you are registered with Pôle Emploi, you can also benefit from funding from your region! Several schemes exist that allow you to finance your training.

Don’t hesitate to make an appointment with one of our advisors to find the funding that best suits you!

If you are living in Germany you have multiple ways to finance your training courses depending on your professional situation.

Employees:

  • Funding from your employer: You can check with your employer to see if there is a possibility of having your training paid for (totally or partially paying for your training).
  • Payment by installments: If you are unable to pay the entire amount at once, you may be interested in our installment plan (pay the costs over a period of up to 12 months).

Your company may also be able to benefit from the Qualifizierungschancengesetz and get funding from the state.

Unemployed, job seekers, self-employed or students:

  • Bildungsgutschein: If you are looking for work, threatened by unemployment, self-employed or even a student, you have a good chance of receiving an education voucher (Bildungsgutschein). Contact your advisor at the employment agency or the job center and check whether there is a possibility of funding your training course.
  • Self-financing: If you have no chance of receiving the education voucher, you can pay the remaining amount by bank transfer, direct debit or credit car.
  • Payment by installments: If you are unable to pay the entire amount at once, you may be interested in our installment plan (pay the costs over a period of up to 12 months).

Get more information about the process and the next steps by downloading our Bildungsgutschein guide.

The DataScientest team will help you find the best funding for your personal circumstances.

Different types of financing can be applied depending on your current situation:

  • Fundae: Thanks to our close links with companies and our high employment rate, you can subsidise our courses with Fundae.
  • Pledg: Finance our courses in up to 12 months.
  • Quotanda: Finance the course with Quotanda interest-free (+12 months).
  • Student Finance: You pay nothing until you find a job.

For further information, please check this page and book an appointment with our team.

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Would you like to discover the job of a Data Analyst ?

Data science jobs are constantly evolving. It is essential to define each of them in order to better understand companies’ current expectations and thus align training and hiring opportunities.

Among them is the Data Analyst, a profession in full expansion. Find all the information you need by downloading this complete job description: expected skills, tools & technologies, career prospects and salary.

Job description

What our alumni say about our DataScientest training courses!

Patricia Jan, Data Scientist and alumni of DataScientest, tells you today in a video about her experience of further training and how data plays a role in her everyday life!

🎉 Would you also like to get started with one of our courses? New courses start every month and good news: We’ve just launched the DevOps course to extend our Data Science trainings!

Download program
“I found the training very interesting. The content is very rich and accessible. The 75% autonomy format is particularly beneficial. By being mentored and "pushed" to pass certifications to reach specific milestones, it maintains a pace."
Adrien M.
Adrien M.Data Scientist @Siderlog Conseil
"The curriculum is very educational and covers all the notions necessary for the position of a data scientist: from learning python to data acquisition, notably via web scrapping to the most advanced skills in machine learning, deep learning, and reinforcement learning."
Cyrille C.
Cyrille C.Data Engineer @GoWizYou
“The courses available on the platform are very pedagogical, and you gradually gain competences on complex concepts. We have access to many resources to help us, a forum, a live chat and the possibility to make regular video calls with the supervisors”.
Emeline S.
Emeline S.Data Scientist @Green-Got
"I took the part-time course at DataScientest. The training was complete, perfectly surveyed, and completely professionalizing. I can only recommend the institute's training courses and I intend to follow others!"
Victor L.
Victor L.Data Scientist @Veltys
Previous
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Do you have any questions? We have the answers!

Accordion Content

A Data Analyst plays a crucial role in turning raw data into meaningful insights. They gather, organize, and examine data to uncover trends and patterns that help businesses make informed decisions. Using tools like SQL, Python, and data visualization platforms, they provide actionable insights that drive improvements, optimize processes, and solve business challenges.

A Data Analyst is responsible for several key tasks:

  • Data Collection: They gather data from multiple sources, such as databases or external systems.
  • Data Cleaning: Ensuring the accuracy and reliability of the data by removing inconsistencies and errors.
  • Data Analysis: Using statistical techniques to uncover trends, patterns, and insights within the data.
  • Reporting: Presenting findings through reports, charts, and dashboards to make the data accessible.
  • Business Support: Offering insights that help shape business decisions and strategies.
 
Accordion Content
Starting your Data Analyst Bootcamp with DataScientest is a straightforward process.
 
Begin by exploring our courses online and selecting the one that fits your career goals. After expressing your interest, our team will contact you to understand your background and aspirations.
You may need to complete a quick skills evaluation to ensure the course matches your experience level. Once everything is aligned, we’ll guide you through the enrollment, and you’ll receive all the details you need to kick-start your learning experience.

Getting started is simple. First, explore the available courses on our website and find the one that aligns with your career goals. After submitting your details, we’ll reach out for a short discussion about your background and objectives. If needed, you’ll complete a quick skills assessment. Once everything is in place, we’ll confirm your enrollment and provide all necessary details for your course.

The entire learning experience is designed to be fully remote. You’ll participate in live, instructor-led sessions, complete practical projects, and access a wealth of digital resources.

There’s no need to attend in person — all you need is an internet connection to engage with the course materials and interact with peers and instructors.

By the end of the program, you’ll be equipped with essential skills in data analysis, including managing and manipulating data, applying statistical methods, and creating impactful visualizations. You’ll become proficient in tools like Python, SQL, and Tableau, which will help you draw insights from complex datasets and contribute to data-driven decisions in any business environment.

The PL-900 course introduces you to Microsoft’s Power Platform. You’ll learn the basics of Power BI, Power Apps, Power Automate, and Power Virtual Agents. This foundational training helps you understand how to create apps, automate workflows, analyze data, and build chatbots, preparing you for the PL-900 certification.

Accordion Content

A basic understanding of statistics, data analysis, or programming is recommended. Familiarity with tools like Excel or SQL will help you grasp the course material faster and dive deeper into advanced concepts without struggling with the fundamentals.

Progress is tracked through regular quizzes, hands-on exercises, and a comprehensive capstone project. These assessments are designed to ensure you’re applying the concepts effectively and are prepared for real-world data analysis tasks.

Throughout the training, you’ll develop essential skills such as analyzing datasets, interpreting statistical results, and building visualizations. You’ll also become proficient in using tools like Python and SQL to solve data-related business challenges.

The capstone project allows you to apply everything you’ve learned to a real-world scenario. You’ll work with a dataset, create actionable insights, and present your findings through visualizations and reports, demonstrating your skills to potential employers.

Yes, the Data Analyst Bootcamp diploma is widely recognized across industries. It certifies that you have the technical skills and practical experience needed to succeed in data-driven roles, giving you an edge in the job market.

After the Data Analyst Bootcamp, you can explore roles such as Data Analyst, Business Analyst, or Data Consultant. These positions are in demand in industries like finance, healthcare, marketing, and tech, offering diverse career paths.

Accordion Content

The skills you gain in data analysis are highly transferable, enabling you to make data-driven decisions in fields like marketing, finance, and operations. You’ll be able to analyze data to optimize processes, uncover trends, and improve overall performance in virtually any profession.

Starting salaries for Data Analysts range from $50,000 to $70,000, depending on location and industry. With experience, this can grow significantly, with senior roles earning upwards of $90,000 to $100,000 annually. Long-term, career growth opportunities can lead to advanced roles with even higher compensation.

Yes, this training provides a strong foundation in data analysis, which is essential for transitioning into a Data Scientist role. By building on your skills with further education in machine learning and advanced analytics, you can follow a clear path toward becoming a Data Scientist.

Many graduates of the Data Analyst program successfully transition into new roles shortly after completing the course. Our curriculum is aligned with industry demands, giving learners a competitive edge in the job market. We also offer job placement support to enhance professional integration.

Absolutely. During your training, we provide career coaching, resume-building support, and interview preparation. After graduation, our job placement services and Alumni network will continue to offer guidance and connections to potential employers.

Yes, the program emphasizes soft skills such as communication, problem-solving, and teamwork. These are critical for presenting data insights effectively and collaborating within cross-functional teams, ensuring you’re well-rounded and prepared for professional challenges.

After the Data Analyst Bootcamp, you’ll have access to ongoing resources like industry reports and specialized content.

You can also participate in webinars, join online discussions, and connect with our alumni network to stay informed about the latest trends in data science.

Our Alumni network offers a platform for continuous learning and networking. Members gain access to exclusive events, job opportunities, and knowledge-sharing sessions, allowing them to build valuable connections and stay updated on industry advancements.

We partner with companies that are leaders in innovation and data-driven industries. These organizations provide opportunities for real-world projects, internships, and employment, ensuring that our learners get hands-on experience and access to exciting career prospects.

The job
Accordion Content

A Data Analyst plays a crucial role in turning raw data into meaningful insights. They gather, organize, and examine data to uncover trends and patterns that help businesses make informed decisions. Using tools like SQL, Python, and data visualization platforms, they provide actionable insights that drive improvements, optimize processes, and solve business challenges.

A Data Analyst is responsible for several key tasks:

  • Data Collection: They gather data from multiple sources, such as databases or external systems.
  • Data Cleaning: Ensuring the accuracy and reliability of the data by removing inconsistencies and errors.
  • Data Analysis: Using statistical techniques to uncover trends, patterns, and insights within the data.
  • Reporting: Presenting findings through reports, charts, and dashboards to make the data accessible.
  • Business Support: Offering insights that help shape business decisions and strategies.
 
Key information
Accordion Content
Starting your Data Analyst Bootcamp with DataScientest is a straightforward process.
 
Begin by exploring our courses online and selecting the one that fits your career goals. After expressing your interest, our team will contact you to understand your background and aspirations.
You may need to complete a quick skills evaluation to ensure the course matches your experience level. Once everything is aligned, we’ll guide you through the enrollment, and you’ll receive all the details you need to kick-start your learning experience.

Getting started is simple. First, explore the available courses on our website and find the one that aligns with your career goals. After submitting your details, we’ll reach out for a short discussion about your background and objectives. If needed, you’ll complete a quick skills assessment. Once everything is in place, we’ll confirm your enrollment and provide all necessary details for your course.

The entire learning experience is designed to be fully remote. You’ll participate in live, instructor-led sessions, complete practical projects, and access a wealth of digital resources.

There’s no need to attend in person — all you need is an internet connection to engage with the course materials and interact with peers and instructors.

By the end of the program, you’ll be equipped with essential skills in data analysis, including managing and manipulating data, applying statistical methods, and creating impactful visualizations. You’ll become proficient in tools like Python, SQL, and Tableau, which will help you draw insights from complex datasets and contribute to data-driven decisions in any business environment.

The PL-900 course introduces you to Microsoft’s Power Platform. You’ll learn the basics of Power BI, Power Apps, Power Automate, and Power Virtual Agents. This foundational training helps you understand how to create apps, automate workflows, analyze data, and build chatbots, preparing you for the PL-900 certification.

The course
Accordion Content

A basic understanding of statistics, data analysis, or programming is recommended. Familiarity with tools like Excel or SQL will help you grasp the course material faster and dive deeper into advanced concepts without struggling with the fundamentals.

Progress is tracked through regular quizzes, hands-on exercises, and a comprehensive capstone project. These assessments are designed to ensure you’re applying the concepts effectively and are prepared for real-world data analysis tasks.

Throughout the training, you’ll develop essential skills such as analyzing datasets, interpreting statistical results, and building visualizations. You’ll also become proficient in using tools like Python and SQL to solve data-related business challenges.

The capstone project allows you to apply everything you’ve learned to a real-world scenario. You’ll work with a dataset, create actionable insights, and present your findings through visualizations and reports, demonstrating your skills to potential employers.

Yes, the Data Analyst Bootcamp diploma is widely recognized across industries. It certifies that you have the technical skills and practical experience needed to succeed in data-driven roles, giving you an edge in the job market.

After the Data Analyst Bootcamp, you can explore roles such as Data Analyst, Business Analyst, or Data Consultant. These positions are in demand in industries like finance, healthcare, marketing, and tech, offering diverse career paths.

The carreer
Accordion Content

The skills you gain in data analysis are highly transferable, enabling you to make data-driven decisions in fields like marketing, finance, and operations. You’ll be able to analyze data to optimize processes, uncover trends, and improve overall performance in virtually any profession.

Starting salaries for Data Analysts range from $50,000 to $70,000, depending on location and industry. With experience, this can grow significantly, with senior roles earning upwards of $90,000 to $100,000 annually. Long-term, career growth opportunities can lead to advanced roles with even higher compensation.

Yes, this training provides a strong foundation in data analysis, which is essential for transitioning into a Data Scientist role. By building on your skills with further education in machine learning and advanced analytics, you can follow a clear path toward becoming a Data Scientist.

Many graduates of the Data Analyst program successfully transition into new roles shortly after completing the course. Our curriculum is aligned with industry demands, giving learners a competitive edge in the job market. We also offer job placement support to enhance professional integration.

Absolutely. During your training, we provide career coaching, resume-building support, and interview preparation. After graduation, our job placement services and Alumni network will continue to offer guidance and connections to potential employers.

Yes, the program emphasizes soft skills such as communication, problem-solving, and teamwork. These are critical for presenting data insights effectively and collaborating within cross-functional teams, ensuring you’re well-rounded and prepared for professional challenges.

Our services

After the Data Analyst Bootcamp, you’ll have access to ongoing resources like industry reports and specialized content.

You can also participate in webinars, join online discussions, and connect with our alumni network to stay informed about the latest trends in data science.

Our Alumni network offers a platform for continuous learning and networking. Members gain access to exclusive events, job opportunities, and knowledge-sharing sessions, allowing them to build valuable connections and stay updated on industry advancements.

We partner with companies that are leaders in innovation and data-driven industries. These organizations provide opportunities for real-world projects, internships, and employment, ensuring that our learners get hands-on experience and access to exciting career prospects.

Are you interested?

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