All current Data Science courses in 2024

1133 Courses

Machine Learning Essentials for Business and Technical Decision Makers (Japanese)

Machine Learning Essentials for Business and Technical Decision Makers (Japanese) 3つのコースからなるこのカリキュラムでは、機械学習 (ML) のためのベストプラクティスと推奨事項について学習します。このコースでは、ビジネスプロセスへのMLの統合に向けたロードマップの作成方法を見ていきます。また、MLがビジネス上の問題への適切な解決策であるかどうかを判断する.
provider AWS Skill Builder

AWS Foundations: Machine Learning Basics (Japanese)

AWS Foundations: Machine Learning Basics (Japanese) Explore the basics of AWS cloud infrastructure with a focus on machine learning, delivered in Japanese. This comprehensive course offered by AWS Skill Builder covers essential topics across various machine learning disciplines, including supervised and unsupervised learning, deep learning, rei.
provider AWS Skill Builder

AWS Foundations: Machine Learning Basics (Japanese) 日本語実写版

AWS Foundations: Machine Learning Basics (Japanese) 日本語実写版 Understand the basics of AWS cloud infrastructure through this comprehensive course in Japanese.
provider AWS Skill Builder

Introduction to Machine Learning: Art of the Possible (Indonesian)

Introduction to Machine Learning: Art of the Possible (Indonesian) Kursus digital ini dirancang untuk membantu para pengambil keputusan bisnis dalam memahami hal-hal mendasar dari machine learning (ML). Tingkat kursus: Dasar Durasi: 30 menit Catatan: Kursus ini memiliki transkrip/subtitle lokal. Narasi disampaikan dalam bahasa Inggris. Untuk.
provider AWS Skill Builder

Responsible AI for Developers: Interpretability & Transparency - 繁體中文

Responsible AI for Developers: Interpretability & Transparency - 繁體中文 | Coursera 本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具,有助於讓資料和 AI 模型透明且可解釋。 University: Provider: Coursera Categories: Artificial Intelligence Courses, Machine Learning Courses, Data S.
provider Coursera

Learning Data Science: Using Agile Methodology

Unlock valuable insights in data science every two weeks by mastering Agile methodology. In this course, you will learn to navigate the data science life cycle (DSLC) efficiently, employing fundamental tools like question boards to systematically break down your tasks. Offered by LinkedIn Learning, this comprehensive program spans diverse cate.
provider LinkedIn Learning

Tableau 10 for Data Scientists

Tableau 10 for Data Scientists | LinkedIn Learning Tableau was made for data science. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards with the LinkedIn Learning course, Tableau 10 for Data Scientists. Provider: LinkedIn Learning Categories: Data Analysis Courses B.
provider LinkedIn Learning

Tableau for Data Scientists

Tableau for Data Scientists | LinkedIn Learning Tableau for Data Scientists Take your Tableau skills to the next level. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards. Provider: LinkedIn Learning Categories: Data Analysis Courses, Bu.
provider LinkedIn Learning

GenAI for Data Scientists

GenAI for Data Scientists GenAI for Data Scientists is tailored for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course simplifies the complex realm of GenAI, illustrating its remarkable impact on data analysis, predictive modeling, and more. You will gain a thorough understanding o.
provider Coursera

Fine-tuning Language Models for Business Tasks

Fine-tuning Language Models for Business Tasks This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundationa.
provider Coursera

Developing Machine Learning Solutions

In this machine learning course, you will learn about the machine learning lifecycle and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in str.
provider Coursera
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