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Data Science Courses

930 Courses

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California Institute of Technology YouTube

Using MLflow and Databricks to Deploy ML Models in Production

Explore MLflow and Databricks for production ML model deployment. Learn end-to-end management, model tracking, and deployment strategies, plus Databricks' Feature Store and AutoML.
provider YouTube
pricing Free Video
duration 58 minutes
sessions On-Demand
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California Institute of Technology YouTube

Advanced Techniques for Online Advertisement Spend Optimization

Explore advanced techniques for optimizing online ad spend using Reinforcement Learning, Bayesian statistics, and Thompson sampling to improve budget allocation and maximize returns.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

Computer Vision for Remote Inspections of Energy Assets

Explore how computer vision supports remote inspections in the energy industry, enhancing efficiency and reducing human error in maintaining vital energy infrastructure.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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California Institute of Technology YouTube

Data Curation for Open Source LLM Fine-Tuning

Explore data curation challenges and strategies for fine-tuning open source LLMs, focusing on dataset quality and iteration techniques for improved results.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

Fraud Models in the Energy Sector - Using AI for Smart Meter Theft Detection

Explore AI-driven fraud detection for smart meters in the energy sector, focusing on energy theft prevention and consumption monitoring techniques.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

Leveraging GANs for Building Synthetic Data

Explore GANs for synthetic data generation to overcome data scarcity, preserve privacy, and enhance machine learning model training across various domains.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Visual Design - Do Not Let Data Be Your Cul-de-sac

Learn best practices for creating clean, aesthetic data visualizations to aid business understanding, tell compelling stories, and drive sustainable decisions.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
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California Institute of Technology YouTube

Love and Robots - Filtering Cheeky from Toxic with AI Content Moderation

Explore AI's role in content moderation, distinguishing harmful from benign content through context-aware technology to foster genuine online connections.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

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.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
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California Institute of Technology YouTube

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.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand

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!