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DataScientest

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DataScientest

Avg Rating:5.0 ( 22 reviews )

DataScientest is a coding bootcamp offering 12-week, full-time courses in Data Analysis, Data Science, and Data Engineering. The DataScientest bootcamps are primarily conducted online, but have several in-person coaching sessions in Paris, France. Students can access a ready-to-code environment through DataScientest’s full SAAS platform that includes over 1,000 hours of learning content. While the bootcamps are full-time, DataScientist can adapt them to be 24- to 36-week part-time courses for students who need it. 

The Data Analyst bootcamp requires a prerequisite of Bac + 3 level with Mathematics or Computer Science. Bootcamp students will learn languages, such as Python, NumPy, Pandas, SQL, PySpark, CSS, HTML, PowerBi, Tableau, Dataiku, web scraping, and text mining. Students will also learn the art of storytelling and dashboard creation as well as machine learning concepts. Data Analyst students will learn how to develop segmentation criteria for a CRM database. They will also perform market research through data extraction from sites and social networks. 

The Data Scientist bootcamp requires a Bac + 5 level in Mathematics or Statistics and an understanding of programming concepts. Students will learn Python for Data Science and SAS/Excel, Object Programming, Web Scraping,  SQL, PyMongo, and PySpark. Students will learn methods of Data Visualization, such as Matpilotlib, Seaborn, and Bokeh. The Data Scientist bootcamp curriculum includes concepts of Machine Learning, such as clustering methods and concepts of Deep Learning, such as TensorFlow, CNN, RNN, and Gans. Finally, students will learn recommendation systems, reinforcement learning, Deep RL and algorithms. 

The Data Engineer bootcamp requires a Bac + 5 level in Computer Science and Bac + 3 in Statistics. Students will learn Bash, Python, Python object orientation, SQL, MongoDB, Cassandra, Elastic Search, and Neo4J. Data Engineer students will learn theories of big data architecture and streaming architecture, such as Hadoop, Hive, HBase, Pig, Spark, and Kafka. Finally, students will learn APIs with Flask, Docker, and Airflow. Data Engineer students work on developing segmentation criteria for a CRM database and perform market research through data extraction from sites and social networks. 

DataScientest course content is available in either French or English. DataScientest bootcamps are certified by Paris La Sorbonne University. Bootcamp graduates who pass a certification exam will receive a diploma from Sorbonne University upon program completion.

Recent DataScientest Reviews: Rating 5.0

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  • Data Analyst Bootcamp

    Apply
    SQL, Python, HTML, Excel, CSS
    OnlineFull Time12 Weeks
    Start Date None scheduled
    Cost3,795
    Class sizeN/A
    LocationOnline
    The Data Analyst bootcamp is a 12-week, full-time bootcamp and requires a prerequisite of Bac + 3 level with Mathematics or Computer Science. Bootcamp students will learn languages, such as Python, NumPy, Pandas, SQL, PySpark, CSS, HTML, PowerBi, Tableau, Dataiku, web scraping, and text mining. Students will also learn the art of storytelling and dashboard creation as well as machine learning concepts. Data Analyst students will learn how to develop segmentation criteria for a CRM database. They will also perform market research through data extraction from sites and social networks. 
    Financing
    DepositN/A
    Tuition PlansPayment in several instalments allowed
    Getting in
    Minimum Skill LevelRequires a prerequisite of Bac + 3 level with Mathematics or Computer Science.
    Placement TestNo
    InterviewNo
  • Data Engineer Bootcamp

    Apply
    SQL, Python, MongoDB, Hadoop
    OnlineFull Time12 Weeks
    Start Date None scheduled
    Cost4,495
    Class sizeN/A
    LocationOnline
    The Data Engineer course is a 12-week, full-time bootcamp and requires a Bac + 5 level in Computer Science and Bac + 3 in Statistics. Students will learn Bash, Python, Python object orientation, SQL, MongoDB, Cassandra, Elastic Search, and Neo4J. Data Engineer students will learn theories of big data architecture and streaming architecture, such as Hadoop, Hive, HBase, Pig, Spark, and Kafka. Finally, students will learn APIs with Flask, Docker, and Airflow. Data Engineer students work on developing segmentation criteria for a CRM database and perform market research through data extraction from sites and social networks. 
    Financing
    DepositN/A
    Tuition PlansPayment in several instalments allowed
    Getting in
    Minimum Skill LevelRequires a Bac + 5 level in Computer Science and Bac + 3 in Statistics.
    Placement TestNo
    InterviewNo
  • Data Scientist Bootcamp

    Apply
    SQL, Python, Machine Learning, Excel, Data Visualization
    OnlineFull Time12 Weeks
    Start Date None scheduled
    Cost4,495
    Class sizeN/A
    LocationOnline
    The Data Scientist bootcamp is a 12-week, full-time bootcamp that requires a Bac + 5 level in Mathematics or Statistics and an understanding of programming concepts. Students will learn Python for Data Science and SAS/Excel, Object Programming, Web Scraping,  SQL, PyMongo, and PySpark. Students will learn methods of Data Visualization, such as Matpilotlib, Seaborn, and Bokeh. The Data Scientist bootcamp curriculum includes concepts of Machine Learning, such as clustering methods and concepts of Deep Learning, such as TensorFlow, CNN, RNN, and Gans. Finally, students will learn recommendation systems, reinforcement learning, Deep RL and algorithms. 
    Financing
    DepositN/A
    Tuition PlansPayment in several installments allowed
    Getting in
    Minimum Skill LevelRequires a Bac + 5 level in Mathematics or Statistics and an understanding of programming concepts
    Placement TestNo
    InterviewNo
  • DG  User Photo
    DG • Graduate Verified via LinkedIn
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     DataScientest est une expérience d'apprentissage phénoménale du début à la fin. La plateforme est un outil de qualité et le contenu de très haut niveau. Toutes les thématiques sont expliquées avec clarté et avec des mises en situations en cohérence avec la réalité de l’entreprise. Je conseille sans hésitations ! 
  • Maha Ahmed  User Photo
    Maha Ahmed • data analysis • Verified via LinkedIn
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    It was very useful  ,  really i had  a very good experience  with doing this project thank you udacity  for your support and feedback review 
  • Reem Mohammady Mohammed lallo  User Photo
    Reem Mohammady Mohammed lallo • Student • Verified via LinkedIn
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    It is a very good program, and it matched my expectations, but I have more expectations to achieve my new career and get a freelancing job Thanks for your efforts.
  • Datascientist
    - 8/10/2021
    RAZAFINDRATSIMA Stephen • Student
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     Excellente formation, certes intensive, mais efficace. La formation en Bootcamp de Datascientist chez Datascientest est intensive mais très efficace. Pour ma part, il a fallu s'accrocher, surtout en début de la formation, quand on n'a pas encore acquis la bonne méthode de travail. Les moyens mis à notre disposition fonctionnent parfaitement, que ça soit la plateforme, l'aide interactive, les masterclass, le suivi et l'encadrement du projet. En résumé, l'équipe pédagogique et les moyens sont très professionnels. Si vous êtes motivé, avez le background requis, alors tout ira bien, cette formation est pour vous.
  • Bonne formation
    - 7/5/2021
    Florence • Graduate
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    J'ai suivie le bootcamp en Data Analyst. C'est une formation complète et intense. J'ai eu l'aide et le soutien nécessaire pour la réussir. Très bonne formation!
  • Dan Isaacs • Graduate
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    I just graduated from the Full Stack Software Development program and it was incredible. The last three months have been exhausting, but in that short amount of time I went from only knowing a little bit of Python to being a full-fledged, full stack developer! If you can keep up with the pace and you understand the material, this is a very good opportunity for anyone who wants to become a software developer.

  • Julien ROYET • Graduate
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    Si vous souhaitez acquérir des connaissances théoriques avec une mise en pratique immédiate au travers d'un cursus intense intellectuellement, la formation de Data Analyst en bootcamp chez DataScientest est une formation parfaite. 
    Savoir gérer son temps et son acquisition de connaissances en mode intensif sont nécessaires mais cela en vaut la peine. 
    Merci à tous les intervenants DataScientest pour cette formation de Data Analyst.
  • Aymeric Castellanet • Data Engineer Junior • Graduate
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    Je conseille cette formation Data Engineer qui est très technique et très complète (contrairement à d'autres formations que j'avais pu consulter qui était en cours distanciels ou présentiels). Ce format en e-learning peut en rebuter certains mais en fait cela permet en fait de pouvoir découvrir énormément de choses en suivant les modules à son rythme (modules obligatoires + modules optionnels). Si vous voulez vous lancer dans la Data, foncez mais préparez-vous à être bien accroché pendant ces 3 mois intensifs.
  • Arthur Geffroy • Graduate
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    Je suis très heureux d'avoir suivi cette formation à haute valeur ajoutée permettant d'aborder un large ensemble de techniques et applications avancées du machine learning et de la data science, et de les appliquer immédiatement sur un projet personnel passionnant. L'équipe pédagogique autant qu'administrative et accompagnement carrière sont très compétentes, constituées de personnes sympathiques et réactives avec lesquelles il a été agréable de travailler. Si vous suivez la formation comme moi en format Bootcamp de trois mois, soyez prêt à un rythme soutenu car le programme est chargé, ceci ayant été pour moi finalement très stimulant. 

  • Kévin PAME • Data Scientist • Graduate
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    J'ai suivi la formation Data Scientist. Si vous choisissez la formation intensive, il faut s’accrocher dès le début car si vous n’aviez jamais ou très peu programmé en Python, vous aurez beaucoup à apprendre en très peu de temps donc c’est une bonne habitude à avoir. Il faut prendre son temps de bien comprendre les cours mais il ne faut pas hésiter à chercher d’autres ressources sur Google ou demander à votre chef de cohorte qui peut également vous aider. Je suis agréablement surpris par le contenu de cette formation. Le projet fil rouge est la partie pratique de cette formation qui prend énormément de temps et qui est la plus intéressante et importante de la formation tant au niveau de l’apprentissage mais aussi au niveau des retours que vous pouvez en tirer en le partageant. (FR)

    I took a training course as a Data Scientist. If you choose the intensive bootcamp course, you have to work hard from the get-go because if you've never programmed in Python or not so much, you'd have to learn it in a short period of time. This will lay the foundation for the rest of the training course. You need to take your time to really understand the courses but do not hesitate to look up other resources on Google or ask your cohort leader/mentor who may also help you. I was pleasantly surprised by the training course's content. The story arc project is the practical part of this training programme which takes an enormous amount of time but also represents the most interesting and important part of it all regarding the learning process and the feedback you may get by sharing it to the community. (EN)
  • Elie Pariente • Graduate
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    J'ai rejoins la session d'Octobre du bootcamp pour devenir Data Scientist de la formation Datascientest. Il y a un groupe de discussion slack pour chaque session qui permet au groupe d'être tenu au courant des prochaines masterclass, des modules qu'il faut valider , et de poser des questions de codes qui permettent d'enrichir les connaissances en programmation. Les modules sont très pédagogiques. En effet ils s'organisent sous la forme de notebook interractif avec du cours qui permettent de progresser sur la partie pratique et sur la partie théorique. Il y aussi des ateliers CV , lettre de motivation et entretiens qui permettent de mieux s'armer pour le marché du travail. J'ai pu décrocher un CDI en tant que Data Scientist junior chez Eiffage suite à cette formation. Je conseille à tout le monde cette formation. En effet les besoins de Data Scientist , Data Analyst et Data Ingeneer vont en grandissant et les entreprises cherchent des personnes opérationnelles qui vont pouvoir répondre aux enjeux de demain. 
  • Nina • Graduate
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    DataScientest is a school I met during some job dating sessions. Seduced by the very human and professional character of the team during the coaching sessions, and having seen that their Data Scientist program matched my expectations to develop skills in this position in a company, I decided to do their bootcamp of September 2020. The quality of the course content, the different cases studied during the master classes and exams, the follow-up and the availability of the teaching team have confirmed my initial enthusiasm for DataScientest. I highly recommend!