Course
Building AI Agents with Haystack
- IntermediateSkill Level
- 4.8+
- 145
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.
Artificial Intelligence
Data, AI, and Cloud Courses
Master skills that matterFollow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
- Learn at your own pace
- Get hands-on experience
- Complete bite-sized chapters
Create Your Free Account
Continue with GoogleShow more optionsor
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
182 Courses
Course
Statistical Simulation in Python
- IntermediateSkill Level
- 4.9+
- 140
Learn to solve increasingly complex problems using simulations to generate and analyze data.
Probability & Statistics
Course
End-to-End RAG with Weaviate
- IntermediateSkill Level
- 4.6+
- 139
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.
Artificial Intelligence
Course
Pandas Joins for Spreadsheet Users
- IntermediateSkill Level
- 4.8+
- 138
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Data Manipulation
Course
Designing Forecasting Pipelines for Production
- AdvancedSkill Level
- 4.8+
- 137
Learn how to design, automate, and monitor scalable forecasting pipelines in Python.
Machine Learning
Course
Foundations of Inference in Python
- AdvancedSkill Level
- 4.9+
- 134
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Probability & Statistics
Course
Analyzing Police Activity with pandas
- IntermediateSkill Level
- 4.8+
- 124
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Data Manipulation
Course
Efficient AI Model Training with PyTorch
- AdvancedSkill Level
- 4.9+
- 121
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Artificial Intelligence
Course
Text-to-Query Agents with MongoDB and LangGraph
- IntermediateSkill Level
- 4.8+
- 120
Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.
Artificial Intelligence
Course
Analyzing US Census Data in Python
- IntermediateSkill Level
- 4.8+
- 120
Learn to use the Census API to work with demographic and socioeconomic data.
Exploratory Data Analysis
Course
Python for MATLAB Users
- BasicSkill Level
- 4.8+
- 118
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Software Development
Course
Discrete Event Simulation in Python
- AdvancedSkill Level
- 4.8+
- 118
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.
Probability & Statistics
Course
Financial Forecasting in Python
- IntermediateSkill Level
- 4.8+
- 114
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Applied Finance
Course
Case Studies in Statistical Thinking
- IntermediateSkill Level
- 4.9+
- 102
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Probability & Statistics
Course
Advanced NLP with spaCy
- IntermediateSkill Level
- 4.6+
- 102
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Machine Learning
Course
Parallel Programming with Dask in Python
- IntermediateSkill Level
- 4.8+
- 100
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Software Development
Course
Working with DeepSeek in Python
- BasicSkill Level
- 4.7+
- 85
Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.
Artificial Intelligence
Course
Data Privacy and Anonymization in Python
- AdvancedSkill Level
- 4.9+
- 72
Learn to process sensitive information with privacy-preserving techniques.
Machine Learning
Course
Analyzing Survey Data in Python
- IntermediateSkill Level
- 4.7+
- 70
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Probability & Statistics
Course
Intermediate Network Analysis in Python
- AdvancedSkill Level
- 4.8+
- 69
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Probability & Statistics
Course
Interactive Data Visualization with Bokeh
- IntermediateSkill Level
- 4.7+
- 69
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Data Visualization
Course
Bond Valuation and Analysis in Python
- BasicSkill Level
- 4.9+
- 65
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Applied Finance
Course
HR Analytics: Predicting Employee Churn in Python
- IntermediateSkill Level
- 4.8+
- 65
In this course youll learn how to apply machine learning in the HR domain.
Machine Learning
Course
Intermediate Predictive Analytics in Python
- BasicSkill Level
- 4.8+
- 51
Learn how to prepare and organize your data for predictive analytics.
Machine Learning
Course
Machine Translation with Keras
- AdvancedSkill Level
- 4.8+
- 44
Are you curious about the inner workings of the models that are behind products like Google Translate?
Artificial Intelligence
Course
Predicting CTR with Machine Learning in Python
- IntermediateSkill Level
- 4.9+
- 30
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Machine Learning
Course
Retrieval-Augmented Generation with LangChain
- IntermediateSkill Level
- 4.7+
Learn to build knowledge-grounded LLM applications that retrieve relevant information from structured and unstructured sources before generating responses.
Artificial Intelligence
Course
LLM Application Evaluation with LangSmith
- IntermediateSkill Level
- 4.7+
Learn to systematically measure and improve LLM application quality.
Artificial Intelligence
Course
LLM Application Fundamentals with LangChain
- IntermediateSkill Level
- 4.7+
Learn to build conversational LLM applications — with reliable structured output, persistent conversation history, and real-time streaming.
Artificial Intelligence
Course
LLM Tool Use with LangChain
- IntermediateSkill Level
- 4.6+
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
FAQs
What is data science?
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.
How can I learn data science?
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.
What skills are required for data science?
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.
What can I use data science for?
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.
Is data science a good career?
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.
Is it difficult to become a data scientist?
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.
Does data science require coding?
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.
How long does it take to become a data scientist?
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.
What topics can I study within data science?
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.
Grow your data skills with DataCamp for Mobile
Make progress on the go with our mobile courses and daily 5-minute coding challenges.