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Based on looking at the website, DataScientest.com positions itself as a leading online education platform specializing in data science, data engineering, and digital marketing & data fields.

It offers a variety of bootcamps and part-time programs designed to train individuals for new careers in the data industry.

The platform emphasizes personalized support, practical projects, and recognized diplomas through partnerships with academic institutions like Mines Paris PSL and tech giants like Microsoft and AWS, aiming to provide a comprehensive and effective learning experience for those looking to enter or advance within the data sector.

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IMPORTANT: We have not personally tested this company’s services. This review is based solely on information provided by the company on their website. For independent, verified user experiences, please refer to trusted sources such as Trustpilot, Reddit, and BBB.org.

Table of Contents

Datascientest.com Review & First Look

Upon an initial review of Datascientest.com, it’s clear the platform is designed to be a comprehensive resource for individuals seeking to pivot into or advance within the data science and related fields.

The website immediately highlights its core value proposition: “Your future career in data starts here.” This direct approach sets the tone for a service focused on career transformation.

User Interface and Navigation

The user interface appears clean and professional, with a primary focus on guiding visitors toward understanding their eligibility and exploring available courses.

The “Êtes-vous fait pour la Data ?” Are you made for Data? test prominently featured suggests an immediate engagement point for potential students.

Navigation is intuitive, with clear menus for different program types and certifications. Carglass.de Reviews

Core Offerings Highlighted

The site categorizes its offerings into “Cursus Data,” “Certifications Éditeurs,” and “Cursus Dev,” indicating a broad scope beyond just data science.

This segmentation allows users to quickly identify programs relevant to their career aspirations, whether it’s becoming a Data Analyst, Data Scientist, Data Engineer, or delving into Digital Marketing & Data.

Transparency in Outcomes

Datascientest.com makes a point of showcasing its success metrics, such as an “85% Taux d’employabilité” 85% employability rate within six months of course completion, based on their 2019-2020 cohorts.

This statistic, while specific to past years, provides a snapshot of their claimed effectiveness and speaks to the practical, career-oriented nature of their programs.

Datascientest.com Features

Datascientest.com presents a robust set of features designed to facilitate effective online learning and career transitions in the data sector. Midlandvanlines.com Reviews

These features collectively aim to provide a supportive and practical educational experience.

Diverse Program Offerings

The platform offers a variety of specialized programs catering to different facets of the data industry:

Data Analyst: Focuses on Python programming, Business Intelligence, Machine Learning, Dataviz, and Text Mining.
Data Scientist: Covers advanced Python, Machine Learning, Deep Learning, Big Data, and complex systems.
Data Engineer: Emphasizes advanced Python, databases SQL, NoSQL, Big Data tools Hadoop, Spark, Git/GitHub, CI/CD, and API development.
Marketing Digital & Data: Blends Python, SQL, CRM, marketing automation, Google Analytics 4, SEO, and RGPD.
Editor Certifications: Includes certifications for specific tools like Amazon Web Services AWS and Microsoft Power BI.
Dev Curriculums: Features programs for DevOps Engineers and Systems, Network, and Cloud Administrators.

Practical, Project-Based Learning

A recurring theme across all programs is the emphasis on “Projet Data” Data Project. This highlights a hands-on, practical learning approach, which is crucial for mastering complex data skills and building a portfolio for future employment.

The site mentions “un coaching basé sur la pratique et des cas métiers concrets” coaching based on practice and concrete business cases, further reinforcing this pedagogical strategy. Lease-broker.com Reviews

Personalized Coaching and Expert Instructors

Datascientest.com prides itself on “Une équipe de formateurs à votre écoute” A team of instructors at your disposal. They claim instructors are “experts” and “toujours disponibles” always available to provide daily follow-up and support for skill development.

This personalized attention is a significant feature for online learning, where student engagement and support can sometimes be a challenge.

Recognized Diplomas and Partnerships

A key differentiator is the emphasis on accredited qualifications.

The platform states, “Un diplôme reconnu” A recognized diploma through its academic partner, Mines Paris PSL, and tech partners Microsoft and AWS.

This institutional backing lends credibility to the certifications and degrees earned, potentially enhancing their value in the job market. Inittogetherfestival.com Reviews

The “Certificat Qualiopi” also confirms their quality certification for training actions.

100% Online and Accessible Environment

All courses are “accessibles entièrement en ligne depuis chez vous” fully accessible online from home, requiring only an internet connection.

This flexibility makes it convenient for learners worldwide to participate without geographical constraints.

The “environnement 100% prêt à coder” 100% ready-to-code environment suggests that students will have immediate access to the necessary tools and platforms without complex setups.

Strong Employability Focus

Beyond just education, Datascientest.com highlights its career placement success. Contactlenses.co.uk Reviews

An “85% Taux d’employabilité” for alumni within six months post-graduation, backed by an internal study from 2019-2020 cohorts, underscores their commitment to student career outcomes.

They also boast “500+ entreprises partenaires,” including some from the CAC40, indicating strong industry connections for potential job placements.

Datascientest.com Pros & Cons

Based on the information presented on Datascientest.com, here’s a breakdown of the potential advantages and disadvantages of their educational programs.

Pros

Strong Career Focus and Employability: The site explicitly states an 85% employability rate within six months of course completion based on 2019-2020 cohorts. This high success rate, if consistently maintained, is a major draw for individuals looking to secure a job in the data industry. The mention of 500+ corporate partners, including major French companies, further enhances job prospects.
Accredited and Recognized Diplomas: Partnerships with reputable academic institutions like Mines Paris PSL and tech giants like Microsoft and AWS lend significant credibility to the diplomas and certifications offered. This recognition can be crucial for career advancement and employer confidence. The Certificat Qualiopi also verifies their quality standards.
Comprehensive and Diverse Curriculum: Datascientest.com offers a wide array of programs covering various data roles such as Data Analyst, Data Scientist, Data Engineer, and even Digital Marketing & Data. This allows for specialization and caters to different career interests within the broader data ecosystem.
Hands-On, Project-Based Learning: The emphasis on “Projet Data” across all courses ensures that learners gain practical experience by working on real-world case studies. This approach is highly effective for skill development and building a portfolio.
Personalized Coaching and Expert Support: The claim of “expert” and “always available” instructors providing daily follow-up suggests a strong support system for students. Personalized coaching can be vital for navigating complex technical subjects and staying motivated in an online learning environment.
100% Online Accessibility: The programs are entirely online, providing flexibility for learners to study from anywhere with an internet connection. This makes it accessible to a global audience and those with existing commitments. The “100% ready-to-code environment” minimizes technical setup hurdles.
Positive User Reviews: The website highlights a 4.93/5 rating on Switchup with over 200 reviews, positioning them as “N°1 des bootcamps européens.” While external verification is always wise, this suggests a generally positive student experience.

Cons

Cost Implicit: While not explicitly stated on the readily visible parts of the homepage, specialized bootcamps and accredited programs like these typically come with a significant tuition fee. The absence of upfront pricing details might deter some potential learners who are looking for immediate cost transparency.
Language Barrier: The website is primarily in French. While this is logical for a French-based institution, it immediately limits accessibility for non-French speakers. All program details, testimonials, and support materials are in French, requiring proficiency in the language.
Employability Data Specificity: The 85% employability rate is based on “promotions 2019-2020.” While the study is stated to be updated annually, displaying the most recent, consolidated data would provide even greater confidence. Market conditions and job demand change, so current data is always preferable.
Intensity of Bootcamps: Bootcamps, by nature, are intensive. While a “Projet Data” approach is beneficial, the rapid pace and volume of information in these programs can be challenging for some learners, especially those balancing other commitments.
Dependence on Self-Motivation: While instructors offer support, online learning still heavily relies on student self-discipline and motivation. Without the traditional classroom structure, some learners might find it harder to stay on track.
Limited Free Trial Information: The website mentions an eligibility test but doesn’t explicitly offer a free trial period for courses. This means potential students might not get a hands-on feel for the learning platform or teaching style before committing financially.

Datascientest.com Alternatives

For those considering a data science career or looking to upskill, a variety of platforms offer programs similar to DataScientest.com.

When evaluating alternatives, it’s wise to consider factors like cost, curriculum depth, teaching methodology, instructor expertise, and career support. Here are some prominent alternatives: Lambeth.gov.uk Reviews

Coursera

Overview: Coursera partners with universities and companies worldwide to offer a vast array of courses, specializations, and professional certificates in data science, machine learning, and AI.
Key Features:
- University-led Content: Many programs are developed by top universities e.g., University of Michigan, Stanford.
- Flexible Learning: Courses can be taken at your own pace.
- Varied Pricing: Offers individual courses, specializations, and subscription models like Coursera Plus. Some content is available for free auditing.
- Career-Oriented Certificates: Professional Certificates from companies like Google and IBM are popular for career changers.
Data: Over 100 million learners and thousands of courses available. Their Data Science Specializations often rank highly.

edX

Overview: Co-founded by Harvard and MIT, edX provides high-quality online courses from leading educational institutions around the globe, including various programs in data science, analytics, and computer science.
- Academic Rigor: Strong emphasis on academic excellence, with programs often mirroring university curricula.
- MicroBachelors and MicroMasters: Shorter, stackable credentials that can count towards full degrees.
- Verified Certificates: Available for a fee, providing proof of completion.
- XSeries Programs: Bundles of courses that offer in-depth learning on specific topics.
Data: Hosts courses from over 160 partners, reaching millions of learners worldwide.

Udacity

Overview: Udacity focuses on “Nanodegree” programs, which are project-based curricula designed with industry partners to teach in-demand tech skills, including various data science and AI roles.
- Industry-Relevant Curriculum: Developed in collaboration with leading tech companies e.g., Google, Amazon.
- Project-Based Learning: Heavy emphasis on practical projects with personalized feedback.
- Mentor Support: Offers one-on-one mentor support and career services.
- Guaranteed Interview Programs: Some Nanodegrees offer job guarantee programs or connections to hiring partners.
Data: Claims over 1 million students have enrolled in their Nanodegree programs. Their Data Scientist Nanodegree is particularly well-known.

Springboard

Overview: Springboard offers intensive, mentor-led bootcamps in data science, data analytics, machine learning, and other tech fields, with a job guarantee for many of their programs.
- Job Guarantee: If you don’t get a job within a specified period after graduation, they’ll refund your tuition terms apply.
- Dedicated Mentorship: Students are paired with industry experts for one-on-one support.
- Career Services: Comprehensive career coaching, interview prep, and job search assistance.
- Project-Heavy Curriculum: Focus on building a strong portfolio.
Data: Boasts a 90% job placement rate for graduates and thousands of alumni.

DataCamp

Overview: DataCamp focuses on interactive coding courses in Python and R for data science, analytics, and machine learning. It’s more focused on skill-building through practical exercises rather than comprehensive career transformation.
- Interactive Exercises: Learn by doing directly in the browser.
- Skill Tracks and Career Tracks: Curated learning paths for specific roles or skills.
- Extensive Content Library: Thousands of exercises and hundreds of courses.
- Affordable Subscription Model: Typically offered on a monthly or annual subscription basis.
Data: Over 10 million users and 350+ courses available.

General Assembly

Overview: General Assembly provides immersive bootcamps, part-time courses, and workshops in high-demand tech skills, including data science, data analytics, and software engineering, both online and in-person.
- Immersive Bootcamps: Full-time, intensive programs designed for career changers.
- Career Support: Dedicated career services teams to assist with job search.
- Strong Alumni Network: A large network of graduates in the tech industry.
- Global Presence: Campuses in major cities worldwide though online options expand reach.
Data: Has trained over 90,000 alumni since its inception.

When choosing an alternative, consider your learning style, budget, and career goals.

Platforms like DataCamp are excellent for focused skill acquisition, while Udacity and Springboard offer more immersive, career-focused programs with dedicated support.

Coursera and edX provide a flexible, university-backed approach.

How to Cancel Datascientest.com Subscription

When it comes to canceling a subscription or enrollment with an educational platform like DataScientest.com, the process typically involves clear steps outlined in their terms and conditions, or by directly contacting their support team. Jjmotors.co.uk Reviews

While specific, step-by-step instructions for cancellation are not explicitly detailed on the publicly accessible homepage, standard practices in online education and subscription services provide a general framework.

Understanding the Cancellation Policy

Before initiating a cancellation, it is crucial to review DataScientest.com’s official Terms and Conditions Conditions Générales de Vente or General Terms of Service. These documents would detail:

Refund Policy: Whether a refund is possible, the conditions for eligibility e.g., within a certain number of days after enrollment, or before course commencement, and the percentage of tuition that may be refundable.
Notice Period: If there’s a required notice period before termination.
Administrative Fees: Any potential administrative or cancellation fees.
Course Access After Cancellation: Whether access to course materials ceases immediately or continues until the end of a billing cycle.

Standard Cancellation Procedures

Typically, canceling an online education program or subscription involves one of the following methods:

Via User Account Settings: Many platforms allow users to manage their subscriptions directly through their online profile or dashboard. Look for sections like “My Subscriptions,” “Account Settings,” or “Billing.”
Contacting Customer Support Directly: This is often the most reliable method for educational programs, especially those with significant financial commitments.
- Email: Look for a dedicated support email address e.g., [email protected] or similar. Clearly state your intention to cancel, provide your account details full name, email, program enrolled in, and request confirmation of cancellation.
- Phone: If a customer service phone number is provided, calling them can facilitate a quicker resolution and allow for direct clarification of the cancellation process and any associated implications.
- Contact Form: The website may have a “Contact Us” form where you can submit your cancellation request.

Essential Information to Include in Your Request

When contacting DataScientest.com for cancellation, ensure you provide:

Your Full Name: As registered on your account.
Registered Email Address: The email linked to your DataScientest.com account.
Program Name: The specific course or bootcamp you wish to cancel.
Enrollment Date: Or the date your subscription began.
Reason for Cancellation Optional but Recommended: While not always mandatory, providing a brief reason can sometimes streamline the process or lead to alternative solutions if your issue can be addressed differently.

Confirmation of Cancellation

Always request and retain a confirmation of your cancellation. Lbjwatches.co.uk Reviews

This could be an email confirmation from their support team or a screenshot of a cancellation confirmation page within your account.

This documentation is vital for your records in case of any future billing discrepancies.

Given the nature of educational bootcamps, which are often substantial investments, DataScientest.com likely has specific policies regarding withdrawals or deferrals.

It is highly recommended to seek out their official legal terms or contact their support directly for the most accurate and up-to-date cancellation instructions.

How to Cancel Datascientest.com Free Trial

The DataScientest.com website, based on the provided text, does not explicitly mention a “free trial” in the traditional sense e.g., a limited-time free access to course content. Instead, it highlights an “Évaluer mon éligibilité” Evaluate my eligibility or “Passez ce test en 2 minutes pour savoir quelle formation est faite pour vous” Take this 2-minute test to find out which training is for you feature. Marshyellow.net Reviews

This suggests a pre-enrollment assessment rather than a trial of the actual course material.

If, however, DataScientest.com were to introduce a free trial period in the future, the cancellation process would typically follow standard industry practices for trial memberships.

Typical Free Trial Cancellation Procedures

In the common scenario of a free trial that might automatically convert into a paid subscription, the following steps are usually applicable:

Locate Account Settings: Log in to your DataScientest.com account if one was created for the trial. Look for sections like “Account,” “Settings,” “Subscription,” or “Billing Information.”
Find Subscription Details: Within these sections, there is usually an option to view your current subscription or trial status.
Initiate Cancellation: Look for a “Cancel Trial,” “Manage Subscription,” or “Turn Off Auto-Renew” button or link. Clicking this would typically guide you through the cancellation process.
Confirmation Steps: You might be asked to confirm your decision, perhaps with a brief survey on why you are canceling.
Receive Confirmation: Always ensure you receive an email confirmation of your trial cancellation. This is your proof that the trial has been terminated and you will not be charged.

If No Explicit “Free Trial” is Offered

As the current website text suggests, the primary “trial” or introductory step is an eligibility test.

This test is likely designed to assess a candidate’s aptitude for data science and recommend suitable programs, rather than offering free access to course content. Lcx.com Reviews

In this case, there would be no “cancellation” needed, as no financial commitment or ongoing access is initiated.

Best Practice for Future Reference

If DataScientest.com were to implement a structured free trial in the future, always:

Read the Terms: Carefully review the terms associated with the free trial, especially regarding its duration, what happens at the end of the trial, and the exact steps for cancellation to avoid automatic charges.
Set Reminders: If you plan to cancel, set a reminder a few days before the trial period ends to ensure you cancel on time.
Document Everything: Keep records of when you started the trial, when you canceled, and any confirmation emails received.

For now, based on the provided website text, the “free trial” concept as it usually applies to subscription services doesn’t seem to be a core offering for DataScientest.com.

Their focus appears to be on direct enrollment into their programs after an eligibility assessment.

Datascientest.com Pricing

Direct, transparent pricing for the bootcamps and certifications offered by DataScientest.com is not immediately available on the main homepage. Ladya.health Reviews

This is a common practice for higher-education programs, especially intensive bootcamps, where the cost can vary based on the specific program, its duration bootcamp vs. part-time, and any potential financing options or regional subsidies.

Where to Likely Find Pricing Information

Typically, potential students would need to take one of the following steps to inquire about or receive pricing details:

Eligibility Test / Contact Form: The prominent “Évaluer mon éligibilité” Evaluate my eligibility and “Passez ce test en 2 minutes” Take this 2-minute test buttons likely lead to a form where interested individuals provide their contact information. After assessing their profile, DataScientest.com’s admissions or sales team would then reach out directly with program-specific pricing and enrollment options.
Direct Contact: Reaching out via their “Contact Us” section, email, or phone would be another direct route to obtain detailed pricing.
Information Sessions/Webinars: Some platforms host webinars or information sessions where they might discuss pricing models, financing options, and scholarships.
Brochures/Course Catalogs: Detailed pricing might be included in downloadable brochures or course catalogs that are provided after initial inquiry.

Common Pricing Models for Bootcamps

While DataScientest.com’s specific figures are not public on the homepage, educational bootcamps generally follow a few common pricing models:

Upfront Tuition Fee: A single payment made at the beginning of the program.
Payment Plans: Installment plans allowing students to pay tuition over several months.
Income Share Agreements ISAs: In this model, students pay no upfront tuition but commit to paying a percentage of their post-graduation income for a set period once they secure a job above a certain salary threshold. Note: ISAs can involve complex financial structures that might resemble interest-based arrangements riba and should be thoroughly reviewed by a knowledgeable scholar or ethical finance expert to ensure compliance with Islamic principles before engaging.
Scholarships and Financing: Many bootcamps offer scholarships, grants, or partner with third-party lenders for student financing.

Factors Influencing Bootcamp Costs

The cost of a data science bootcamp can vary significantly based on several factors:

Program Duration: Full-time, intensive bootcamps e.g., 10-14 weeks might have a different price point than part-time programs spread over several months.
Depth of Curriculum: Programs offering comprehensive coverage with advanced topics, dedicated project work, and career services tend to be more expensive.
Accreditation and Partnerships: Programs backed by reputable universities like Mines Paris PSL or industry giants Microsoft, AWS often command higher fees due to the perceived value of the certification.
Career Services and Job Guarantee: Programs that offer extensive career coaching, interview preparation, and job placement assistance, or even a job guarantee, typically build these services into the overall tuition.
Market Demand: Data science and related fields are high-demand areas, which can influence program pricing.

Given DataScientest.com’s emphasis on accredited diplomas, expert instructors, and strong employability rates, it is reasonable to expect that their programs represent a significant investment, aligning with the value proposition of intensive, career-transforming education in a specialized field. Thehertspartyco.uk Reviews

Prospective students should be prepared to engage with their admissions team to obtain precise pricing details and understand all financial commitments involved.

Datascientest.com vs. Competitors

When evaluating DataScientest.com against its competitors, it’s essential to compare their offerings across several key dimensions, including curriculum, learning methodology, career support, accreditation, and cost transparency.

DataScientest.com primarily serves a French-speaking audience, which immediately distinguishes it from many global English-centric platforms.

DataScientest.com Strengths:

Strong French Market Focus: As a French-based platform, it offers tailored programs, instructor support, and career connections within the French and European job markets. This is a significant advantage for local students.
Accredited Diplomas: The partnership with Mines Paris PSL and affiliations with Microsoft and AWS provide strong academic and industry recognition, potentially making their diplomas highly valued by employers.
High Employability Rate: An 85% employment rate within six months based on 2019-2020 cohorts is a compelling statistic, demonstrating a strong focus on career outcomes.
Personalized Coaching: Emphasis on “expert” and “always available” instructors providing daily follow-up distinguishes it from platforms that rely more on self-paced learning with minimal human interaction.
Project-Based Learning: The “Projet Data” approach ensures practical skill development, crucial for data roles.
Positive Reviews on Switchup: A 4.93/5 rating based on over 200 reviews on Switchup positions it as a top European bootcamp.

How DataScientest.com Compares to Global Platforms:

Let’s compare DataScientest.com to some of the major players in the online data education space, keeping in mind the linguistic and regional differences.

Vs. Coursera/edX University-led platforms

Curriculum: Coursera and edX offer a broader range of courses and specializations from numerous global universities. DataScientest.com is more specialized in data science and related tech, with its own structured bootcamps.
Learning Style: Coursera/edX are often more self-paced, lecture-based, with peer-graded assignments. DataScientest.com emphasizes personalized coaching and hands-on projects, which might offer more direct support and real-time feedback.
Accreditation: All offer recognized credentials. DataScientest.com’s diploma from Mines Paris PSL is a strong academic backing, similar to degrees or specializations from top universities on Coursera/edX.
Career Support: DataScientest.com has a dedicated focus on job placement with explicit employability rates and partner companies, which might be more integrated than the general career services on Coursera/edX.
Cost: Coursera/edX have a wider price range, from free audit options to expensive Master’s degrees. DataScientest.com’s bootcamps are likely a significant investment, akin to a professional certificate or bootcamp cost on these platforms.
Language: DataScientest.com is French-centric. Coursera/edX are predominantly English, offering more global accessibility.

Vs. Udacity/Springboard Career-focused Bootcamps with Guarantees

Curriculum: All three focus on in-demand tech skills with practical applications.
Job Guarantee/Support: DataScientest.com highlights an 85% employability rate. Udacity for certain Nanodegrees and Springboard often offer explicit job guarantees with tuition refunds if conditions aren’t met, which is a stronger commitment.
Mentorship: All emphasize mentorship. DataScientest.com mentions “daily follow-up,” while Udacity and Springboard pride themselves on dedicated 1:1 mentorship and career coaching.
Flexibility: All are online.
Cost: Pricing for these intensive bootcamps is generally high across the board. DataScientest.com’s lack of upfront pricing means direct comparison is difficult without inquiry.
Market: DataScientest.com is strong in the French market. Udacity and Springboard are primarily U.S.-focused but attract global students.

Vs. DataCamp Interactive Skill-Building Platforms

Scope: DataCamp is primarily for skill acquisition through interactive coding exercises. DataScientest.com offers full career transformation bootcamps.
Depth: DataScientest.com provides a more comprehensive, structured curriculum leading to a recognized diploma. DataCamp is excellent for targeted skill development and continuous learning.
Support: DataScientest.com offers personalized coaching. DataCamp is largely self-paced with automated feedback.
Cost: DataCamp operates on a subscription model, making it much more affordable for continuous learning compared to the one-time, higher investment of a bootcamp.

Overall Positioning

DataScientest.com positions itself as a premium, career-oriented online education provider primarily for the French-speaking market. Trevi-axus.be Reviews

Its strength lies in its strong academic and industry partnerships, personalized support, and documented career success rates.

For individuals in France or French-speaking regions looking for an intensive, recognized pathway into data science with direct career assistance, DataScientest.com presents a compelling option.

Global learners, however, might find more language-diverse and widely recognized alternatives in platforms like Coursera, edX, or Udacity, depending on their specific needs and budget.

Frequently Asked Questions

Is DataScientest.com a reputable platform for data science education?

Yes, based on the information provided on their website, DataScientest.com appears to be a reputable platform, boasting partnerships with institutions like Mines Paris PSL, a high employability rate of 85% for past cohorts, and a strong rating of 4.93/5 on Switchup.

What types of courses does DataScientest.com offer?

DataScientest.com offers comprehensive bootcamps and part-time programs in various data specializations, including Data Analyst, Data Scientist, Data Engineer, and Digital Marketing & Data. Rekline.co.uk Reviews

They also provide certifications for specific tools like Amazon Web Services AWS and Microsoft Power BI, and Dev curricula.

Are the diplomas from DataScientest.com recognized by employers?

Yes, DataScientest.com states that their diplomas are recognized, thanks to their academic partnership with Mines Paris PSL and tech partnerships with Microsoft and AWS, which help guarantee the recognition of their qualifications.

Is DataScientest.com suitable for beginners in data science?

The website mentions an “Évaluer mon éligibilité” Evaluate my eligibility test, suggesting they might have programs suitable for various levels, including those looking to start a new career in data science.

Their structured bootcamps are designed to guide learners from foundational concepts. Hbpconsultancy.co.uk Reviews

What is the average employability rate for DataScientest.com graduates?

DataScientest.com reports an 85% employability rate for their alumni within six months after completing their training, based on a study conducted on 2019-2020 cohorts.

Does DataScientest.com offer personalized mentorship or coaching?

Yes, the platform emphasizes personalized support, stating they have a team of “expert” instructors who are “always available” to provide daily follow-up and assistance.

Are DataScientest.com courses fully online?

Yes, all DataScientest.com courses are 100% accessible online, requiring only an internet connection for learning.

How long do DataScientest.com bootcamps typically last?

While specific durations aren’t explicitly listed for all programs on the homepage, bootcamps are generally intensive, full-time programs, often lasting several weeks to a few months. Part-time options are also mentioned.

What kind of practical experience do students gain at DataScientest.com?

Students gain practical experience through a strong emphasis on “Projet Data” Data Projects and concrete business cases, ensuring hands-on application of learned skills.

Does DataScientest.com have industry connections for job placement?

Yes, DataScientest.com claims to have over 500 partner companies, including some from the CAC40, indicating strong industry connections that can assist with job placement.

Is there a free trial available for DataScientest.com courses?

The website does not explicitly mention a traditional free trial for course content.

It offers an “eligibility test” to help prospective students determine which program is suitable for them.

How do I find the pricing for DataScientest.com programs?

Pricing is not publicly displayed on the homepage.

Prospective students typically need to take the eligibility test or contact DataScientest.com directly through their inquiry forms or contact details to receive program-specific pricing information.

What is the refund policy for DataScientest.com programs?

The refund policy is not detailed on the homepage.

It would typically be outlined in their “Conditions Générales de Vente” General Terms of Sale, which interested individuals should review or inquire about directly with DataScientest.com.

Can I cancel my DataScientest.com enrollment?

Yes, typically, you can cancel your enrollment, but the specific process, conditions, and any potential refunds or fees would be governed by DataScientest.com’s official terms and conditions.

It’s best to contact their support team for details.

What is the “Certificat Qualiopi” mentioned on DataScientest.com?

The “Certificat Qualiopi” signifies that DataScientest.com has received a quality certification for their training activities, indicating compliance with French quality standards for vocational training.

How does DataScientest.com compare to other major online data science platforms like Coursera or Udacity?

DataScientest.com distinguishes itself with a strong focus on the French market, personalized coaching, and direct academic/industry partnerships.

While Coursera/Udacity offer broader content and global reach, DataScientest.com provides a more localized and potentially more hands-on, career-integrated experience within its region.

Does DataScientest.com offer part-time learning options?

Yes, DataScientest.com explicitly states that some of its main programs, such as Data Analyst, Data Scientist, Data Engineer, and Digital Marketing & Data, are available in both “Bootcamp ou Temps partiel” Bootcamp or Part-time formats.

What programming languages are taught in DataScientest.com courses?

Common programming languages taught include Python often with advanced modules, SQL, and potentially R, depending on the specific curriculum, as seen in their Data Analyst and Data Scientist course outlines.

Does DataScientest.com offer support for career transitions?

Yes, with an 85% employability rate and over 500 company partners, DataScientest.com clearly focuses on supporting career transitions, likely through integrated career services, project portfolio building, and industry connections.

Are there any prerequisites for enrolling in DataScientest.com programs?

The website highlights an “eligibility test” “Suis-je éligible?”, suggesting that there may be specific prerequisites or assessments to ensure candidates are well-suited for the rigor of their data science and engineering programs.

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