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DataScientest

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DataScientest

Avg Rating:5.0 ( 13 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
    HTML, Excel, CSS, SQL, Python
    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
    MongoDB, Hadoop, SQL, Python
    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
    Data Visualization, Excel, SQL, Python, Machine Learning
    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.
  • 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! 

  • DataScientest
    - 7/24/2020
    Nikhil Suresh • Data Scientist • Graduate
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    Simplilearn is really great. the Curriculum is really good compared to other DataScience courses offered by others. There is a deep dive into every aspect of ML. the trainers went to great length to explain the the concepts. Trainers like  
    Shohini Kar & Nishant for Capstone Project, Mr Srinivas for Python, Mr Bhupendra for ML, and Maria for Big Data  all were really great ....Thank You all
  • PAMIS • Resp Qualité • Student
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     Passées les premières certifications pour lesquelles l'examen en temps limité peut être source de stress et de contre-performance, le parcours est bien structuré, les exemples pertinents, et surtout le support est réactif (merci Daniel et Charles). 
    Quelques coquilles et approximations orthographiques à corriger mais le fond est robuste 
  • Nicolas • Data Scientist
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    Pédagogique, ludique, la formation nous force à repousser nos limites. L'équilibre entre quantité et difficulté est maîtrisé, donnant envie de s'investir sans avoir peur d'être découragé.
    Depuis la formation, je passe la moitié de mon temps de travail à retranscrire mes modèles sur Python !
  • Aurelia
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    Cette formation très complète que j’ai commencé il y a maintenant 5 mois m’a permis de rapidement monter en compétence et de mettre en application concrète mes sujets appris lors de la formation. Grace à des exercices pratiques centrés sur des problématiques orientées métiers.
  • Leslie • Data Scientits • Graduate
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    Cette formation hybride m’a permis de monter en compétence rapidement. Les modules sont agréables et claires, la plateforme est intuitive et facile d’utilisation, l’accompagnement et le support sont personnalisés et continus ! Je recommande fortement DataScientest à ceux qui veulent se former efficacement au métiers des Data Science.
  • Super formation
    - 5/4/2020
    Shai Laloum • Graduate
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     Cette formation a parfaitement répondu à mes attentes. Le format est idéal et permet une flexibilité bienvenue pour des emplois du temps chargés. Les cours sont très didactiques et adaptés à tous les niveaux. Je recommande cette formation qui sera, sans aucun doute, une plus-value pour la suite de ma carrière. 
  • Excellent
    - 5/4/2020
    Nicolas
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    Les cours sont clairs et agréables à lire, et les mises en pratique permettent de bien appréhender les outils présentés. La formation permet de comprendre les enjeux (la puissance, les possibilités offertes) des technos présentées et de pouvoir ensuite les utiliser dans d'autres contextes que les jeux de données des cours ; les cours donnent également les clé pour pouvoir approfondir de son côté les notions qui m'intéressent le plus.