Learn
Data Science
Online

Choose the best online program to transition into the field of Data Science. In 20 weeks, become a data analysis expert and develop a solid portfolio. From the comfort of your home.

Online

20 Weeks

12 hours / week

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Join a Collaborative Community

Connect with instructors and other students instantly through Slack

Instant Support

Get your questions answered quickly by instructors who are dedicated to your success

Networking Opportunities

Build relationships with fellow learners, share insights, and collaborate on projects

Feedback and Growth

Share your work and receive constructive feedback to help you improve and grow

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Download the Brochure

Master all the tools to become a professional Data Scientist

Our curriculum includes Python, SQL, Pandas, Tenserflow, and more..

What You Will Learn During Your Data Scientist Training

From data collection to predictive modeling, master all the skills you need to excel in Data Science. Learn the advanced concepts of data analysis, the solid foundations of algorithms and data structures.

Foundations of Data Science
  • Master statistics, linear algebra, and matrix operations to enhance your data analysis skills, design and query relational databases efficiently using SQL, and manage projects collaboratively by leveraging Git and GitHub. operations to enhance your data analysis skills, design and query relational databases efficiently using SQL, and manage projects collaboratively by leveraging Git and GitHub.
Python Programming Essentials
  • Build a solid foundation in Python programming to tackle data challenges, master Python data structures and control flows for efficient data manipulation, and develop problem-solving skills by simplifying complex tasks with Python.
Data Gathering and Data Visualization
  • Create compelling visual stories using Python and Tableau, gather valuable insights through APIs and web scraping, and build interactive dashboards to deliver actionable intelligence.
Machine Learning - Supervised and Unsupervised
  • Build predictive models using supervised learning, uncover patterns through clustering and association rules, optimize machine learning workflows for improved performance, and design and deploy interactive ML apps with Streamlit.
Deep Learning and Advanced Techniques
  • Build AI applications such as chatbots and facial recognition tools, optimize deep learning frameworks to tackle complex challenges, and deploy advanced neural networks to drive real-world innovation.
Receive the full program

Learn from expert instructors

Hands-On Learning

Instructors use real projects to teach you practical skills

Personalized Support

Get feedback and guidance that suits your learning style and goals

Expert Guidance

Learn from instructors with real-world experience and a strong background in online teaching

Best companies
recruit our alumni

Our online graduates have been pursuing careers in the best tech companies after the course.

Our alumni say it better

Why They Chose GOMYCODE

  • Slide Image
    Houssem

    This data science program allowed me to learn at my own pace while following a clear progression. Balancing work and personal life, I could move forward on my schedule. I loved the interactive tools and hands-on projects that helped me master the fundamentals quickly.

  • Slide Image
    Manel

    Even though the program was 100% online, I never felt alone. The mentors were always available to answer my questions, and the group sessions were incredibly enriching. I met inspiring people who motivated me to improve every day.

  • Slide Image
    Amine

    Thanks to this program, I gained the skills to solve complex data science problems and create advanced predictive models. The hands-on projects impressed recruiters, and I landed a job even before finishing the course.

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Most questions

Frequently Asked Questions

What are the prerequisites for enrolling in GOMYCODE's Data Scientist training?

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.

 
What programming languages will be taught in this training?

The training covers Python for data analysis, SQL for database management, and data visualization tools.

What types of professional projects are included in the training path?

Projects include handling massive data, developing predictive models with machine learning algorithms, and putting machine learning models into production.

 
How does GOMYCODE training help with professional integration?

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.

What tools and technologies will be used during the training?

Students will use tools and technologies like Python, SQL, Pandas, NumPy, Matplotlib, and machine learning libraries such as Scikit-learn and TensorFlow.

 
What funding options are available for this training?

Financing options include installment payments, discounts for early payment, and financing opportunities through partners, for job seekers.

What training modules are included in the program?

The program includes modules on Python programming basics, data analysis, data visualization, data processing, machine learning models, and database management.