Data Science Courses

416 Courses

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.
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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.
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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.

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.
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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.
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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.
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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.
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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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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!