Data Science Courses

897 Courses

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Bias Identification and Mitigation in AI Systems

Explore techniques for identifying and mitigating bias in AI systems with NLP expert Arnault Gombert.

On-Demand

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AI in Search in 2023

Explore AI's impact on search in 2023, covering challenges, models, and future trends in information retrieval and conversational systems.

On-Demand

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Comparing AI-Augmented Information Retrieval Strategies

Explore AI-powered information retrieval strategies with Women of Search experts. Analyze fine-tuning ML models, RAG pipelines, and reranking methods for optimal use in search applications.

On-Demand

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Lightning Talks on Search Relevance and AI - Haystack US 2024

Explore cutting-edge search and AI topics through lightning talks from Haystack US 2024. Gain insights on information retrieval, LLMs, vector search, semantic search, and more from industry experts.

On-Demand

YouTube

Multimodal Generative AI: Technology Overview and Business Implications

Explore multimodal generative AI's technology, business applications, and limitations. Gain insights into training, costs, and open-source systems like LLaVA for text, image, and audio processing.

On-Demand

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Using Data Science Techniques to Promote Cross-Selling Opportunities and Understand Client Needs

Explore market basket analysis and sentiment analysis for identifying cross-selling opportunities and understanding client needs in this data science presentation.

On-Demand

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The Application of AI Technology in CCaaS

Explore AI applications in contact centers, focusing on omni-channel engagement platforms and implications for Data Science teams in CCaaS solutions.

On-Demand

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Enhancing Speech Analytics with Whisper: A Speech Recognition Evaluation

Explore how Whisper speech recognition enhances Athena Speech Analytics, comparing its performance to task-specific models for improved customer experience and workforce efficiency.

On-Demand

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NLP Projects at Connex One - Sentiment Analysis, Entity Recognition, and Call Summarization

Explore ongoing NLP projects at Connex One, from sentiment analysis to call summarization. Gain insights into successes and challenges in AI implementation for data-driven solutions.

On-Demand

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From Swipe to Safety: Trust and Safety for Authentic Online Connections

Explore safeguarding online dating, generative AI's impact on user safety, and Trust & Safety's interdisciplinary approach to counter online harms in this insightful talk.

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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:

There is a desire to learn a promising and highly paid profession.

There is experience in a related industry, but you want to move to a new, more demanded direction. Data Scientists are often programmers, marketers, financiers and business analysts.

In professional activities or scientific research, it is necessary to apply innovative technologies: big data, neural networks, artificial intelligence.

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?

Classes are taught by experienced programmers and analysts who explain complex material, such as probability theory or mathematical analysis in an easy-to-understand way with examples.

Recordings of all lessons are stored in your personal account. You will not have gaps in your knowledge, because webinars can be watched repeatedly at any time. The videos will stay with you forever.

After each topic there is a practical task. The tasks gradually become more complex, and by the end of the course you will build a neural network or recommendation system. That is, you will have projects ready for your portfolio.

If you cannot cope with a question on your own, the tutor will help you. He will point out mistakes and give recommendations.

Many schools help with finding a job for free, and also invite students for internships, so you will have the opportunity to gain experience in a real project.

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:

Study mathematics and linear algebra. If you have knowledge within the school curriculum, you can start with books that explain the basic concepts in simple language: derivative, differential, matrix and so on.

Any analytics uses mathematical statistics and probability theory - these are the next big topics you should familiarise yourself with.

Working in Data Science is impossible without knowledge of programming languages. For a beginner, Python is suitable - it is relatively simple, flexible and feature-rich.

The next step is to learn machine learning algorithms: "with a teacher", "without a teacher", "with reinforcement". You need to learn how to collect data for analysis and visualise it.

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!

Data Science Courses

Bias Identification and Mitigation in AI Systems

AI in Search in 2023

Comparing AI-Augmented Information Retrieval Strategies

Lightning Talks on Search Relevance and AI - Haystack US 2024

Multimodal Generative AI: Technology Overview and Business Implications

Using Data Science Techniques to Promote Cross-Selling Opportunities and Understand Client Needs

The Application of AI Technology in CCaaS

Enhancing Speech Analytics with Whisper: A Speech Recognition Evaluation

NLP Projects at Connex One - Sentiment Analysis, Entity Recognition, and Call Summarization

From Swipe to Safety: Trust and Safety for Authentic Online Connections

How to train in Data Science and become one from scratch?

Learning Paths for Career Advancement

Course Benefits and Features

How to Enroll in Data Science and AI Courses?