Nos instructeurs sont choisis sur la base de leurs compétences techniques et pédagogiques par nos soins. Ils sont également formés sur nos programmes et sur notre méthodologie. Ils suivent et valident l’avancement des étudiants, les assistent et les encadrent tout au long du parcours. Nous respectons un ratio de 10 étudiants par instructeur.
Oui, nos programmes sont certifiés GOMYCODE et notre certificat est aussi reconnu par nos partenaires recruteurs.
Le plus important est que votre portfolio de projets soit bien rempli. Les entreprises regardent aujourd’hui les projets que vous avez réalisés plus que les diplômes obtenus.
Nous proposons une nouvelle session chaque mois
Prerequisites include a good understanding of basic math, basic programming skills, and a strong interest in data analysis and data science. No specific degree is required, but a high school diploma is recommended.
The training covers Python for data analysis, SQL for database management, and data visualization tools.
Projects include handling massive data, developing predictive models with machine learning algorithms, and putting machine learning models into production.
GOMYCODE supports professional integration through partnerships with various companies, a results center for graduates, and a network of internal recruiters who help students find relevant job offers in the digital sector.
Students will use tools and technologies like Python, SQL, Pandas, NumPy, Matplotlib, and machine learning libraries such as Scikit-learn and TensorFlow.
Financing options include installment payments, discounts for early payment, and financing opportunities through partners, for job seekers.
The program includes modules on Python programming basics, data analysis, data visualization, data processing, machine learning models, and database management.
Graduates will be able to conduct complex data analysis, create interactive dashboards, develop predictive models for different applications, and master the skills needed for a career in data science.
