Global Certificate Data Science Foundations
-- ViewingNowThe Global Certificate in Data Science Foundations is a comprehensive course designed to equip learners with essential data science skills. This program is critical in today's data-driven world, where businesses rely heavily on data to make informed decisions.
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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 Data Types and Structures: Delving into fundamental data types, including numerical, categorical, and text data, and exploring various data structures such as arrays, matrices, data frames, and lists.
โข Data Wrangling and Cleaning: Mastering techniques to handle missing or inconsistent data, reshaping and aggregating data, and preparing data for analysis using popular data mangling tools and libraries.
โข Data Visualization: Learning best practices for creating effective visualizations and applying them using popular data visualization libraries, with a focus on storytelling through data.
โข Statistical Analysis and Probability: Building foundational knowledge in statistical concepts, probability distributions, and hypothesis testing to guide data-driven decision-making.
โข Machine Learning Fundamentals: Delving into various machine learning techniques, including regression, classification, clustering, and dimensionality reduction, and understanding their applications.
โข Deep Learning Basics: Exploring the principles of neural networks, including feedforward and recurrent networks, and their applications in solving complex problems.
โข Data Ethics and Privacy: Understanding the ethical considerations surrounding data science, including privacy, bias, and fairness, and learning best practices to address them.
โข Data Science Tools and Infrastructure: Familiarizing with popular data science tools and infrastructure, including programming languages, libraries, and cloud platforms.
โข Experimental Design and Data Interpretation: Learning best practices for designing experiments, analyzing results, and interpreting data to inform decision-making.
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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