We have the answers to your questions! - Don't miss our next open house about the data universe!
We have the answers to your questions! - Don't miss our next open house about the data universe!
Welcome to our alumni feedback page! In this section, our alumni share their personal experiences and impressions of their training at DataScientest. Read their stories and be inspired – find out first-hand how our training programmes have positively influenced their professional and personal development. Discover what our alumni have to say about their time here and how it helped them achieve their goals. Immerse yourself in authentic stories and gain valuable insights that can help you choose the right training programme for you.
Last update : 30 April 2024
🙋♂️ Today, we will present to you Henry Tornow: He just finished our part-time Data Analyst Training at DataScientest Germany.
📈 Within the last few months, Henry started a really nice career. From Marketing Manager to Data Analyst! As a Performance Marketing Manager he already came into contact with data analysis and visualization as well as data-driven decisions. When the opportunity arose to work as a data analyst in the revenue area at his current company, he didn’t hesitate to take his chance.
🙌 What Henry appreciates particularly: the flexibility of the training programme and the fact that it was easy to combine with work and private life. The course was well structured and easy to follow, and for the practical part (the project) he was able to bring along a use case directly from his company, which will help him directly in practice in the future.
🙋♂️ Have you met Tiago Russomano? He just finished our part-time DataScientist Training at DataScientest Germany. Congratulations for your dedication, perseverance, and your willingness to learn to achieve your goals!
📈 Within the last few months, Tiago did everything to change his career: After a 10 years experience as sport professor and scientist, he is now a Data Scientist. For him, it was a rewarding experience to dive into python, machine learning, data visualization, and all the tools provided in the course.
🧑💻 During the training, he demonstrated his proficiency by presenting a successful project on road accident prediction in France. You can have a look at it by following this link: https://appfranceaccidents-ljctr8qz3ojyb6otziyfqq.streamlit.app/
💪 Besides his data science training, he managed to obtain the DTB A2 (Deutsch für den Beruf) certification from the Bundesamt für Migration und Flüchtlinge (BAMF), also taught statistics to bachelor students at Internationale Hochschule SDI München and conduct his research on drones at the Technical University of Munich.
🚀 Looking ahead to 2024 with a sense of accomplishment and a renewed spirit, he starts the year with ambitious goals: Secure a position as a Data Scientist or SportsScientist!
🙋♀️ Have you met Anastasiia? She is already halfway through the Data Analyst course. She started her part-time training at DataScientest Germany, thanks to our partnership with Ukraine Libre.
👩💻 With a background in consolidated information analysis, the transition into data science, coupled with self-learned coding (HTML, CSS, JavaScript), has been both important and fascinating. The ongoing, skill-centric training is a dedicated pursuit, combining data work with coding for a more enriched experience.
🚀 Currently employed in a low-skilled job in France, the goal is to successfully complete the training in April, armed with honed skills, and secure a job aligned with the new expertise. Open to professional connections, collaborations, and mentorship opportunities, she looks forward to connecting with the vibrant data science community.
🙋♀️ Have you met Anja? She can look back on 15 years of professional experience in the automotive industry at Bosch in the areas of quality and development. Her passion for data analysis led her to a new professional direction. The decision to take part in the Boot Camp Data Analyst therefore proved to be a real stroke of luck.
👩💻 The opportunity to apply new knowledge directly, especially through the use of Jupyter notebooks, was the perfect learning method for them. It was a great feeling for Anja to see her own code successfully in action.
She was particularly impressed by the project work, a really effective way of putting what she had learned into practice. The chosen project topic, “Cycling Traffic in Paris”, was spot on – as a keen cyclist, she not only found it an interesting challenge, but also an opportunity to consolidate her newly acquired skills in a context that was relevant to her.
🚀 The opportunities around the learning content itself are also great. Sometimes there isn’t even enough time for everything. The Boost Hours, Career Management, the Forum and the Masterclass offer an extensive and supporting network. It was impressive to experience that you really are not alone in this program. The opportunity to exchange ideas with like-minded people, to deal more intensively with certain topics in the Boost Hours and to learn from the experts in the Masterclass contributed significantly to my positive experience. The contact with the participants and coaches continues after the training.
🙋♀️ Have you met Viktoriia? She is a PhD holder in Physical Chemistry working as an engineer at @Blue Solutions’ R&D lab. Her days are filled with developing cutting-edge Li batteries, and data analysis is a big part of that.
👩💻 Alongside her work, she has embarked this month on a Data Scientist course, exploring the world of data in parallel. She is really impressed by the structured approach and diverse learning opportunities. And discovering support from the career management team has been a pleasant surprise for her!
🙏 “Big thanks to the Data Scientest team for their fantastic work!” She can’t wait to dive deeper into the world of AI.
🙋♀️ Have you met Sajida? She is a a diligent software engineer, embarked on her data engineering journey as a Graduate Engineer Trainee at DataScientest Germany. Hailing from India, Sajida started her Data Engineering training in May 2023, opting for a part-time training. Now a part of Stellantis, she attests to the training’s effectiveness, with its insights proving instrumental in her ongoing projects in data management.
👩💻 From basic to advanced, the training was meticulously designed, emphasizing practical applications over theory. This hands-on approach honed her problem-solving skills, preparing her for real-world challenges. The interactive forum provided invaluable support, ensuring a seamless learning journey.
🚀 Driven by a passion for challenges, she firmly believes that every obstacle leads to growth. Beyond coding, Sajida finds solace in the rhythm of dance and the pages of her favorite book, ‘The Silent Patient.’
🙋♀️ Have you met Yvonne? She is a PhD chemist who has recently worked as a Research Associate at the university, focusing on complex quantum mechanical calculations. However, the professional security and future prospects as a postdoc are often uncertain, which is why she wanted to specialize more in the scientific analysis of data, as it already constituted a large part of her work.
👩💻 DataScientest provided an excellent opportunity for her to deepen her knowledge in the key areas of Data Science, alongside her professional and family life, in a flexible, systematic, and thorough manner.
🚀 She found the complexity of neural networks and the team project titled “Tree Recognition with Convolutional Neural Networks” particularly exciting. Meanwhile, she has also been offered a position in the field of Data Science at Dr. Türck Ingenieurbüro. Currently, she is familiarizing herself with another programming language (Matlab) there, before soon taking on a project as well.
🙋♀️ Have you met Lina? She is a Data Scientist and PhD student. Using large time-series datasets, she uses statistical modeling to detect ecosystem changes.
👩💻 Her academic journey was enhanced by completing a Data Science certification with DataScientest, where she focused on Python, machine learning, and data analysis. What she valued most about her training was the hands-on learning approach and the opportunity to apply these skills in a practical machine learning project using deep learning.
🙋♀️ Have you met Athoy?
With a background in particle physics and software development, she has always been passionate about exploring new frontiers. After completing her PhD in Experimental Particle Physics, where she delved into Dark Matter Direct Detection, she transitioned into a role as a Postdoctoral Researcher at the Max Planck Institute for Physics in Munich. There, her focus on data analysis and scientific computing laid the groundwork for her curiosity in data science. She rapidly recognized the need to formalize her skills in areas like Machine Learning and AI, which are shaping the future job market. That’s why she enrolled in the Data Science bootcamp. And what a great evolution: she is now working as a Fusion Technologist at UK Atomic Energy Authority.
👩💻 This is Athoys feedback about her training: It was very rigorous, with helpful feedback from the tutors. Independent thinking was very much encouraged. We also had one Masterclass per week, which was very helpful. What I also found positive: DataScientest’s tutors were knowledgeable and patient, as well as providing a dedicated group of career coaches who were able to give
excellent advice on how to structure and modify my CV and approach to make it stronger for job applications.
🚀 Her commitment to learning and her participation in the bootcamp, even if the job she was applying for didn’t require Data Science, was very positively received by potential employers. She also got a confidence boost and a self-reliance boost from the course. The same experience was shared by many other participants that she know of.
🙋♂️ Meet Baraa!
He earned his master’s degree in mathematics with a focus on computer science at the University of Kassel. Baraa wrote his thesis at the Fraunhofer Institute, where he continues to work as a research assistant.
👩💻 Recently, Baraa completed Data Scientist training at DataScientest Germany. Here’s why he loved the program:
🙏 Thanks to this training, Baraa feels ready to tackle real-world data science projects and advance his career. “I highly recommend DataScientest Germany for anyone looking to expand their skills in data science.”
Explore what the press is saying about us! Here you’ll find an overview of interviews, articles, and coverage about DataScientest. Dive into the world of data and gain valuable insights into our company.
Les avantages de travailler dans la Data Science sont nombreux. Parmi eux, on va retrouver :
Premièrement, nous proposons un contenu orienté business avec une montée en compétences théorique associée avec des use-cases pratiques. La plateforme DataScientest a été pensée et conçue pour les entreprises et pour faire monter en compétences les collaborateurs dans la Data Science. De plus, notre architecture est similaire aux architectures d’un Data Lab.
En ce qui concerne notre plateforme, notre contenu est disponible en anglais comme en français. De plus, nous assurons un support en live chat (jours et heures ouvrés) pris en charge par les professeurs qui ont créé nos cours. Ce support nous permet aujourd’hui d’assurer 100% de complétion sur nos formations !
Afin d’évaluer les utilisateurs, des examens certifiants sont mis en place. Divers organismes et entreprises de renom, partenaires de DataScientest, co-délivrent ces certifications. Il s’agit de Mines Paris – PSL, La Sorbonne, Microsoft, AWS, GCP, et d’autres à venir. Les examens quant à eux ont une réelle valeur sur le marché car notre plateforme est utilisée comme outil de recrutement par de grands groupes comme Allianz ou le BCG. Vous pouvez consulter notre page partenaire pour plus d’informations.
Pas du tout ! Bien au contraire, car l’ensemble de nos formations se passent sur notre plateforme dédiée. Nous avons développé en interne une plateforme complètement opérationnelle. En ce qui concerne le format, nous privilégions le notebook Jupyter, ce qui signifie que la formation ne nécessite aucune installation en amont. Vous pourrez commencer à coder dès la réception de vos identifiants et mots de passe.
En cas de problème, vous avez un support live chat est disponible pour répondre à vos questions.
Grâce à ce système, vous pourrez alterner des temps de formation autonome avec des masterclass assurées par nos enseignants, et ce où que vous soyez dans le monde tant que vous avez un accès internet.
Oui ! Dès votre première journée de formation, vous aurez accès à une plateforme dédiée aux services de développement de carrière, qui propose des ateliers essentiels pour vous aider dans votre recherche d’emploi. Ce service est disponible en continu, même après la fin de votre formation.
Le Pôle de Gestion de Carrière est à votre disposition tout au long de votre parcours de formation. Vous avez la possibilité de prendre rendez-vous individuellement avec nos conseillers pour obtenir un accompagnement personnalisé et des réponses à vos questions concernant votre projet professionnel.
Chaque mois, nous organisons une journée complète pour vous aider à perfectionner vos compétences en recherche d’emploi. Ces journées couvrent divers sujets tels que la présentation, le changement de carrière, la négociation salariale et l’entraînement aux tests techniques. De plus, nous proposons d’autres ateliers qui sont déterminés en fonction des besoins de chaque participant.
Vous bénéficierez également de l’expertise d’un consultant senior lors d’un atelier carrière spécifique, abordant des sujets tels que la lutte contre le syndrome de l’imposteur, la création de réseaux professionnels, la rédaction de CV et la gestion de votre profil LinkedIn axé sur les données.
Une opportunité unique est offerte lors de nos Alumni Talks, où d’anciens étudiants partagent leurs expériences de formation et de recherche d’emploi, ainsi que des conseils pratiques.
Nous mettons en place des actions concrètes pour vous accompagner dans votre recherche d’emploi, notamment l’organisation d’un salon du recrutement en partenariat avec des entreprises, des webinaires animés par des experts en données, et des campagnes de communication pour accroître votre visibilité (concours de CV, DataDays, publication d’articles de projet sur des blogs et médias externes de référence). Nous avons une page dédiée aux evenements que nous organisons pour votre recherche d’emploi
Tout au long de la formation, que le format choisi soit bootcamp ou formation continue, un support en live chat est disponible tous les jours ouvrés de 9h à 17h. Nos data scientists sont disponibles pour répondre à vos questions d’ordre technique ou pédagogique.
Le Responsable de Cohorte et l’équipe Daniel sont les premiers à détecter les éventuelles difficultés, ils vérifient les temps de connexion des bénéficiaires, identifient les éventuelles difficultés d’apprentissage. Si un apprenant est en difficulté, le Responsable de Cohorte déclenche alors le processus qui fait intervenir l’ensemble de l’équipe de suivi.
D’autre part, les sessions de coaching qui ponctuent chacun des sprints de formation sont également un excellent moyen de faire un point plus global sur le déroulé de la formation. Votre responsable de cohorte sera disponible pour répondre à toutes vos questions et assurer le suivi le plus personnalisé possible.
Enfin, le fonctionnement en cohorte assure une émulation similaire à celle d’une salle de classe et il est très important que les users de chaque cohorte progressent ensemble au cours du parcours.
Ce suivi personnalisé nous assure aujourd’hui un taux moyen de complétion des formations de 100 %.
Le taux de retour à l’emploi pour nos Cursus Métiers est de 85% dans les 6 mois suivant la fin de la formation.
La communauté DatAlumni est un groupe LinkedIn qui rassemble les anciens élèves de DataScientest. Sur cette page, nous partageons des questions, des conseils et des actualités technologiques dans l’intérêt de tous. Vous serez invités à la rejoindre dès le début de votre formation.
De plus, nous proposons une multitude d’opportunités commerciales, des réseaux de contacts et des événements tels que des afterworks, des salons et des défis liés aux données. Les anciens élèves de DataScientest peuvent également se retrouver sur notre groupe Facebook, où la convivialité et l’entraide sont de mise. Parallèlement, notre équipe du programme organise chaque mois diverses activités telles que des brise-glaces, un jeu inspiré de “Qui veut gagner des millions de données ?”. Tout cela contribue à renforcer encore davantage la cohésion entre les apprenants et les anciens élèves.
En vous joignant à l’un de nos groupes d’anciens élèves sur LinkedIn ou Facebook, vous aurez la possibilité d’engager des conversations avec nos anciens étudiants. Vous pourrez discuter de leurs expériences et recueillir davantage d’informations sur nos divers programmes de formation.
Vous pouvez également prendre contact avec un de nos ambassadeurs.
Afin d’assurer une authenticité des témoignages, nous demandons à nos élèves diplômés de déposer un avis honnête et pertinent sur leur parcours de formation, leurs ressentis et les éventuels points négatifs. Nous faisons faire appel à des services tiers de vérification de l’authenticité des avis comme Google, Trustpilot ou encore SwitchUp, qui utilisent des techniques avancées pour évaluer la légitimité des avis.
De plus, nous examinons les détails fournis dans les avis et les témoignages pour nous assurer qu’ils correspondent à des expériences réelles et vérifiables. Par exemple, nous pouvons vérifier l’inscription à une formation.
Dans certains cas, une équipe de modération peut passer en revue les avis et les témoignages pour s’assurer qu’ils respectent nos directives et nos normes de contenu.
En combinant ces méthodes, nous nous efforçons de maintenir un environnement de confiance où les avis et les témoignages reflètent fidèlement les expériences réelles de nos étudiants. Si vous avez des préoccupations spécifiques concernant l’authenticité des avis, n’hésitez pas à nous contacter, et nous serons heureux de vous fournir des informations supplémentaires sur nos processus de vérification.
