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Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
Artificial Intelligence
Course
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Artificial Intelligence
Course
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Artificial Intelligence
Course
Learn to systematically measure and improve LLM application quality.
Artificial Intelligence
Course
Learn to build conversational LLM applications — with reliable structured output, persistent conversation history, and real-time streaming.
Artificial Intelligence
Course
Learn to extend your LLM applications with external tools, so your applications can retrieve live data, perform computations, and take real-world actions.
Artificial Intelligence
Course
Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.
Artificial Intelligence
Course
Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.
Artificial Intelligence
Course
Learn about Large Language Models (LLMs) and how they are reshaping the business world.
Artificial Intelligence
Course
Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).
Artificial Intelligence
Course
What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.
Artificial Intelligence
Course
Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.
Artificial Intelligence
Course
Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.
Artificial Intelligence
Course
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.
Artificial Intelligence
Course
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Artificial Intelligence
Course
Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.
Artificial Intelligence
Course
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.
Artificial Intelligence
Course
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.
Artificial Intelligence
Course
Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.
Artificial Intelligence
Course
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Artificial Intelligence
Course
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Artificial Intelligence
Course
Learn to build knowledge-grounded LLM applications that retrieve relevant information from structured and unstructured sources before generating responses.
Artificial Intelligence
Course
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
Probability & Statistics
Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.
You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.
As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.
In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.
Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.
There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.
Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.
For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.
Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.
Make progress on the go with our mobile courses and daily 5-minute coding challenges.