Data Science Courses

344 Courses

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.
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AWS Foundations: How Amazon SageMaker Can Help (Japanese)

AWS Foundations: How Amazon SageMaker Can Help (Japanese) Amazon SageMaker により、機械学習のパイプライン実装における主な課題がどのように解消されるのかを学習します。このコースでは、SageMaker ノートブックとインスタンスが機械学習ワークローの強化をサポートする方法を学び、Amazon SageMaker の主な機能を復習します。 コースレベル: 基礎 実施形式: デジタル.
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Machine Learning Terminology and Process (Japanese)

Machine Learning Terminology and Process (Japanese) このコースでは、基本的な機械学習の概念とデータを処理する機械プロセスを紹介します。 機械学習プロセスの各ステップを詳細に調べて、機械学習プロジェクトのフェーズで発生する一般的な用語とテクニックについて説明します。 コースの目標 このコースの学習内容は、以下の通りです。 機械学習プロセスについて説.
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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.
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Developing Machine Learning Solutions (Korean)

Developing Machine Learning Solutions (Korean) 이 기계 학습 과정에서는 기계 학습 수명 주기와 모든 단계에서 AWS 서비스를 사용하는 방법을 알아봅니다. 또한 기계 학습 모델에 대한 다양한 소스를 검색하고 해당 모델의 성능을 평가하는 기법도 알아봅니다. 기계 학습 프로젝트의 개발 및 배포를 간소화하는 데 있어 기계 학습 운영(MLOps)의 중요성도 이해합니다..
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Getting Started with Data Science

Getting Started with Data Science In 2012, Harvard Business Review named data science the "sexiest job of the 21st century." Why are data scientists in such demand these days? The answer is that over the past decade, there has been an explosion in the data generated and retained by companies, and they need to leverage and exploit it. Data scientis.

Future Proofing Your Data Science Career

Future Proofing Your Data Science Career Get ahead in your field by understanding the future trends in data science with our comprehensive course, Future Proofing Your Data Science Career. This course, provided by LinkedIn Learning, offers valuable insights into the evolving landscape of data science and the critical skills required to thrive..
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Introduction to Machine Learning: Art of the Possible

Introduction to Machine Learning: Art of the Possible The Introduction to Machine Learning: Art of the Possible course provides best practices and recommendations for machine learning (ML) competency and a roadmap for integrating ML into your business processes. This course focuses on business leaders and other decision makers currentl.
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Data Science Career Path

Data Science Career Path Elevate your career by mastering the art of Data Science with Udemy’s specialized courses. Dive deep into tackling Big Data challenges and unlock the potential of data-driven decision making. Our comprehensive syllabus spans across: Artificial Intelligence Courses Python Courses Machine Learning.
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AI Fundamentals for Data Professionals

AI Fundamentals for Data Professionals | LinkedIn Learning Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals. Gain expertise in the core areas of Artificial Intelligence, including Machine Learning, Reinforcement Learning, Deep Learning, Supervised Learning, Unsupervised Learni.
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How to train in Data Science and become one from scratch?

A Data Scientist can find a job in any industry, from retail sales to nuclear physics. That is why such a specialist is sometimes called a master of big data. Data Scientist works at the intersection of 3 areas of knowledge: programming, statistics and machine learning.

Learning Paths for Career Advancement

Data Scientist works with company data, analyses it, looks for potential dependencies, draws conclusions on this basis and, if necessary, builds visualisations. To solve such tasks, the specialist uses mathematical algorithms, development tools and special programmes. A Data Scientist understands how to build a forecast and helps to make the right decisions.

This specialist uses Data Science methods to process large amounts of information. He builds and tests models of data behaviour. This is how he finds patterns in them and predicts future values. For example, knowing everything about the demand for a product earlier, Data Scientist helps the company to make a forecast about sales in the near future. All models are built thanks to machine learning algorithms.

Usually Data Scientists become for the following reasons:

To work in Data Science you need find best data science and ai courses for improving programming skills and knowledge of maths beyond the school curriculum.

Course Benefits and Features

Why choose online artificial intelligence and data science courses?

Excellent knowledge of maths, statistics, programming languages, English, as well as creativity, communication and critical thinking: employers are willing to pay more for specialists with this set of skills.

How to Enroll in Data Science and AI Courses?

Let's tell you in detail what steps you need to go through to become a Data Science specialist:

Having sorted out the theory, move on to practice. For example, you can look for an assistant position or an internship in large IT companies!