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Data Science Courses

344 Courses

California Institute of Technology Coursera

Generative AI for Data Science

Generative AI for Data Science Discover how Generative AI can enhance data accuracy and operational efficiency in data science. This short course is designed for data scientists and AI enthusiasts to unlock the potential of Generative AI in data-driven projects. In just 3 hours, you'll learn to: Explore and leverage Generative AI application.
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California Institute of Technology AWS Skill Builder

Foundations of Prompt Engineering (Indonesian)

Foundations of Prompt Engineering (Indonesian) Dalam kursus ini, Anda akan mempelajari prinsip, teknik, dan praktik terbaik untuk mendesain prompt yang efektif. Kursus ini memperkenalkan dasar rekayasa prompt dan berlanjut ke teknik prompt lanjutan. Anda juga akan mempelajari cara mencegah penyalahgunaan prompt dan cara mengurangi bias saat berint.
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California Institute of Technology LinkedIn Learning

Data Science Foundations: Knowledge Graphs

Data Science Foundations: Knowledge Graphs Enhance your information management skills with our comprehensive course on knowledge graphs. Available on LinkedIn Learning, this course delves into various knowledge graph tools, techniques for networking databases, and methods to construct a robust digital knowledge base. University: Provider: Lin.
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California Institute of Technology AWS Skill Builder

Foundations of Prompt Engineering (Korean)

Foundations of Prompt Engineering (Korean) 이 과정에서는 효과적인 프롬프트를 설계하기 위한 원칙, 기법 및 모범 사례에 대해 알아봅니다. 이 과정에서는 프롬프트 엔지니어링의 기본 사항을 소개하고 고급 프롬프트 기법을 계속 살펴봅니다. 프롬프트 사용 오류를 방지하는 방법과 FM과의 상호 작용 시 편향을 완화하는 방법을 알아봅니다. 과정 수준: 중급 소.
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California Institute of Technology AWS Skill Builder

Foundations of Prompt Engineering (Traditional Chinese)

Prompt工程基礎（繁體中文） 在本課程中，您將學到設計有效提示的原則、技巧和最佳實務。本課程將介紹提示工程設計的基礎知識，並隨著課程進展介紹進階提示技巧。您也會學習如何防範提示濫用，以及如何減輕與 FM 互動時的偏見。 課程等級：中級 持續時間：4 小時 注意：本課程具有本地化的註釋/字幕。旁白保留英語。 要顯示字幕，請按一下播放器右下角的 CC 按鈕.
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California Institute of Technology AWS Skill Builder

Foundations of Prompt Engineering (Simplified Chinese)

Prompt Engineering Foundations (Simplified Chinese) 在本课程中，您将学习设计有效提示的原则、技术和最佳实践。本课程将介绍提示工程的基本知识，然后逐步过渡到高级提示技术。您还将学习如何防止提示误用，以及如何在与基础模型 (FM, Foundation Model) 互动时减少偏差。 课程级别：中级 时长：4 小时 注意：本课程具有本地化的注释/字幕。旁白保留英语。要.
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California Institute of Technology AWS Skill Builder

Foundations of Prompt Engineering (Japanese) (Sub) 日本語字幕版

Foundations of Prompt Engineering (Japanese) (Sub) 日本語字幕版 このコースでは、効果的なプロンプトを設計するための原則、テクニック、ベストプラクティスについて学習します。このコースでは、プロンプトエンジニアリングの基礎を紹介し、高度なプロンプトテクニックへと進みます。また、基盤モデル (FM) を操作する際に、プロンプトの誤用を防ぎ、バイアスを軽減する.
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California Institute of Technology Pluralsight

Using Neural Networks for Image and Voice Data Analysis

Using Neural Networks for Image and Voice Data Analysis Neural networks can be configured in various ways depending on the type of data and objectives. This course will help you understand how to properly choose a neural network architecture for image or audio data. Deep learning, as opposed to machine learning, allows a more robust way to dea.
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California Institute of Technology Pluralsight

Gemini for Data Scientists and Analysts

Gemini for Data Scientists and Analysts Course Title: Gemini for Data Scientists and Analysts Course Description: In this comprehensive course, you will discover how to leverage Gemini, a generative AI-powered collaborator from Google Cloud, to analyze customer data and predict product sales. Learn the techniques to identify, categorize, and dev.
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California Institute of Technology Pluralsight

Building Data Science Skills with Generative AI

Building Data Science Skills with Generative AI Upgrade your data science skills with Generative AI tools. This course will teach you to integrate Generative AI into your workflow, enhancing efficiency and analytical precision. Data science is evolving rapidly, and staying ahead means embracing the latest AI advancements. In this.
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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!