How to get certified

Kudzaishe L Rombe 0 Reputation points
2026-07-11T16:30:51.8133333+00:00

i am a data science and informatics student which certifications can i get can you take me through the whole process.

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  1. AI answer

    2026-07-11T16:31:57.8066667+00:00

    For a data science and informatics student interested in Azure, the main Microsoft certification path in Data & AI is:

    1. Start with fundamentals (optional but recommended)
      • Microsoft Certified: Azure Data Fundamentals (mentioned in Q&A as “DP-209”).
      • This builds basic understanding of core data concepts and Azure data services.
    2. Optionally add data platform skills
      • Microsoft Certified: Azure Database Administrator Associate (Exam DP-300).
      • Focuses on administering relational databases on Azure and SQL Server (planning, securing, monitoring, optimizing, high availability).
    3. Target role: Microsoft Certified: Azure Data Scientist Associate
      • This is the primary certification for an Azure data scientist.
      • It is based on Exam DP-100: Designing and Implementing a Data Science Solution on Azure.
      • There is an official 4‑day course: Course DP-100T01-A: Designing and implementing a data science solution on Azure, which teaches how to:
        • Ingest and prepare data
        • Train and deploy models
        • Operate ML solutions at cloud scale using Azure Machine Learning and MLflow
      • This certification validates skills in building, training, and deploying ML models using Azure Machine Learning.
    4. Optional AI fundamentals
      • From Q&A: Microsoft Certified: Azure AI Fundamentals (AI-900) is a beginner-friendly certification covering AI/ML concepts and Azure AI services.
      • This is useful if a broad AI overview is needed before going deep into data science.
    5. How to choose and plan the path
      • Use the credentials overview to explore certifications by role and level and confirm details for each certification.
      • Use browse certifications to filter by role (e.g., Data Scientist, Data Engineer, Database Administrator, Data Analyst) and product (Azure).
      • For each certification:
        1. Open the certification details page to see required exam(s) and skills measured.
        2. Review the exam’s study guide/skills outline.
        3. Use the linked preparation options (free online training, instructor‑led training, practice assessments, exam sandbox).
    6. Step‑by‑step process to get certified
      1. Go to the credentials overview and explore Data & AI roles (Data Scientist, Data Engineer, Database Administrator, Data Analyst).
      2. Decide on a sequence, for example:
        • Azure Data Fundamentals → Azure AI Fundamentals (optional) → Azure Data Scientist Associate (DP‑100).
      3. For DP‑100 / Azure Data Scientist Associate:
        • Open the certification page and the DP‑100 exam page.
        • Review the skills measured and download the study guide.
        • Use the linked training resources, including the DP‑100T01 course and free Microsoft Learn modules.
      4. When ready, schedule the exam using the registration link on the exam page (exams are delivered via Pearson VUE or Certiport, depending on type and region).
      5. Take the exam. After passing all required exam(s) for a certification, the Microsoft Certification and digital badge are awarded.
    7. Why follow this path as a student
      • Microsoft Certifications are globally recognized and show real‑world skills.
      • They help demonstrate readiness for data science and data platform roles and can support higher performance and better career opportunities.
      • For students, certifications also help stand out and validate commitment to learning modern cloud and data technologies.
    8. If studying through an institution
      • Institutions can provide exam vouchers via academic licensing through Certiport (Fundamentals) or Pearson VUE (Fundamentals and role‑based exams).
      • Students can also access academic pricing directly via Pearson VUE’s student discount options.

    References:

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