Graduate Certificate in Business Analyses
-- ViewingNowThe Graduate Certificate in Business Analytics is a comprehensive course designed to meet the growing industry demand for skilled data analysts. This program imparts essential skills in data mining, statistical analysis, predictive modeling, and visualization, providing a solid foundation in business analytics.
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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
Here are the essential units for a Graduate Certificate in Business Analytics:
โข Data Management: Fundamentals of data management and exploring the different types of data, data sources, and data quality issues. Students will learn about data governance, data integration, and data warehousing.
โข Business Intelligence (BI): Understanding the concept of BI, its role in decision making, and the tools and techniques used for BI. The unit will cover data visualization, reporting, and online analytical processing (OLAP).
โข Predictive Analytics: Introduction to predictive analytics techniques, including regression analysis, decision trees, and machine learning algorithms. Students will learn how to build predictive models to support business decision making.
โข Data Mining: Exploring the techniques and tools used for data mining, including association rule mining, clustering, and classification. Students will learn how to apply these techniques to large datasets to uncover patterns and trends.
โข Data Visualization and Communication: Understanding the principles of effective data visualization and how to communicate insights to stakeholders. The unit will cover various data visualization tools and techniques and best practices for presenting data.
โข Prescriptive Analytics: Introduction to prescriptive analytics techniques, including optimization and simulation. Students will learn how to use these techniques to make informed decisions in complex and uncertain environments.
โข Big Data Analytics: Understanding the concept of big data and the challenges and opportunities associated with analyzing large and complex datasets. Students will learn about distributed computing frameworks and tools for processing and analyzing big data.
Parcours professionnel
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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