Professional Certificate in Cloud Data for Data Scientists
-- ViewingNowThe Professional Certificate in Cloud Data for Data Scientists is a crucial course designed to equip learners with the latest cloud data skills necessary for career advancement in today's data-driven economy. This program is essential for data scientists looking to enhance their cloud data skills, providing hands-on experience with popular cloud platforms such as AWS, Google Cloud, and Microsoft Azure.
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ร propos de ce cours
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2 mois pour terminer
ร 2-3 heures par semaine
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Aucune pรฉriode d'attente
Dรฉtails du cours
โข Cloud Data Infrastructure for Data Scientists: Understanding cloud data storage and compute solutions, including cloud-based data warehouses, data lakes, and serverless computing.
โข Designing Cloud-based Data Pipelines: Designing and implementing data pipelines using cloud-based tools like Apache Beam, Apache Airflow, and Cloud Composer.
โข Data Security and Compliance in the Cloud: Ensuring data security and compliance in the cloud, including encryption, access control, and data masking.
โข Cloud Data Analytics and Visualization: Analyzing and visualizing cloud-based data using tools like BigQuery, Data Studio, and Power BI.
โข Machine Learning with Cloud Data: Building and deploying machine learning models using cloud-based tools like TensorFlow, PyTorch, and Scikit-learn.
โข Cloud Data Governance and Management: Managing and governing cloud-based data assets, including data cataloging, data lineage, and data quality management.
โข Cloud Data Integration and Interoperability: Integrating and ensuring interoperability between cloud-based and on-premises data systems.
โข Cloud Data Performance Optimization: Optimizing cloud-based data performance, including query optimization, data sharding, and caching.
โข Cloud Data Disaster Recovery and Business Continuity: Designing disaster recovery and business continuity plans for cloud-based data systems.
Note: The above list of units is not exhaustive and may vary based on the specific requirements and focus of the professional certificate program.
Parcours professionnel
Cloud Data Analyst: Cloud Data Analysts are in demand for their ability to collect, process, and perform statistical analyses on cloud data.
Cloud Data Scientist: As a Cloud Data Scientist, you will leverage data to answer questions and drive business decisions using machine learning and AI.
Cloud Machine Learning Engineer: A Cloud Machine Learning Engineer specializes in developing and implementing machine learning models in cloud environments.
Exigences d'admission
- Comprรฉhension de base de la matiรจre
- Maรฎtrise de la langue anglaise
- Accรจs ร l'ordinateur et ร Internet
- Compรฉtences informatiques de base
- Dรฉvouement pour terminer le cours
Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.
Statut du cours
Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :
- Non accrรฉditรฉ par un organisme reconnu
- Non rรฉglementรฉ par une institution autorisรฉe
- Complรฉmentaire aux qualifications formelles
Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.
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Frais de cours
- 3-4 heures par semaine
- Livraison anticipรฉe du certificat
- Inscription ouverte - commencez quand vous voulez
- 2-3 heures par semaine
- Livraison rรฉguliรจre du certificat
- Inscription ouverte - commencez quand vous voulez
- Accรจs complet au cours
- Certificat numรฉrique
- Supports de cours
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