Data Science Courses

914 Courses

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Drug Launch Success Through Prompt-Driven Sales Data Analytics

Discover how to optimize pharmaceutical drug launches through advanced sales analytics, predictive modeling, and real-time data processing for improved market performance and ROI.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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Real-Time Data for Generative Feedback Loop Automation

Dive into real-time data automation with Generative Feedback Loops (GFL), exploring practical implementations, pipeline construction, and hands-on demonstrations for automated data processing systems.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
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Building Production-Ready Data Applications with Databricks Asset Bundles - Cookies Dataset Analysis

Master real-time analytics and streaming data applications using Databricks Asset Bundles, featuring hands-on experience with the Bakehouse application and AI-powered store location optimization.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
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AI Ethics: From Theory to Practice - A Guide to Responsible Implementation

Explore practical approaches to AI ethics, from global landscape and regulatory frameworks to implementing ethical innovation in real-world data science applications.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
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Getting Started with Google Colab for Data Science and AI

Learn essential workflows for creating and documenting data science projects in Google Colab, covering best practices for notebook organization and documentation in AI applications.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
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Sales Analysis with Claude

Master AI-powered sales strategies using Claude to analyze data, personalize customer interactions, optimize sales processes, and create data-driven strategies for improved performance and faster deal closures.
provider Coursera
pricing Paid Course
duration 4 hours 33 minutes
sessions On-Demand
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Extracting Structured Data from Multi-Modal Input: Neural and Neuro-Symbolic Approaches

Explore advanced techniques for extracting structured data from multi-modal sources, focusing on neural methods, neuro-symbolic approaches, and LLM-based solutions for processing integrated text and visual elements.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
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Connecting the Dots: Biology at Scale in the Age of AI - Session 1

Explore cutting-edge AI applications in biological prediction models, featuring expert discussions on bridging computational and biological approaches to advance scientific discovery.
provider YouTube
pricing Free Video
duration 1 hour 49 minutes
sessions On-Demand
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AI Supply Chain Security - Inventing Backward and Forward

Explore emerging AI supply chain security threats and defensive strategies, focusing on CI/CD pipelines and creative approaches to protect AI-enabled features in modern software systems.
provider YouTube
pricing Free Video
duration 42 minutes
sessions On-Demand
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Complete Data Analyst Bootcamp From Basics To Advanced

Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server,Snowflake,AWS
provider Udemy
pricing Paid Course
duration 3 days 8 hours 54 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!