Course
Market Basket Analysis in Python
- IntermediateSkill Level
- 4.8+
- 252 reviews
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Machine Learning
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.
711 Courses
Course
Cluster Analysis in R
- IntermediateSkill Level
- 4.8+
- 68 reviews
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
Machine Learning
Course
Intermediate Importing Data in R
- IntermediateSkill Level
- 4.8+
- 267 reviews
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Data Preparation
Course
Dealing with Missing Data in Python
- IntermediateSkill Level
- 4.8+
- 176 reviews
Learn how to identify, analyze, remove and impute missing data in Python.
Data Manipulation
Course
Introduction to AWS Boto in Python
- IntermediateSkill Level
- 4.8+
- 203 reviews
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
Cloud
Course
Visualizing Time Series Data in Python
- IntermediateSkill Level
- 4.7+
- 93 reviews
Visualize seasonality, trends and other patterns in your time series data.
Data Visualization
Course
Introduction to Databricks Genie
- BasicSkill Level
- 4.8+
- 51 reviews
Ask data questions in plain English with Databricks Genie - build spaces, curate business language, and monitor quality.
Data Engineering
Course
Visualizing Time Series Data in R
- IntermediateSkill Level
- 4.8+
- 171 reviews
Learn how to visualize time series in R, then practice with a stock-picking case study.
Data Visualization
Course
Intermediate Workflow Automation with n8n
- IntermediateSkill Level
- 4.7+
- 28 reviews
Design resilient, production-ready n8n automations that fetch APIs, process data in batches, handle errors, and run unattended on a schedule.
Artificial Intelligence
Course
Fraud Detection in Python
- IntermediateSkill Level
- 4.7+
- 182 reviews
Learn how to detect fraud using Python.
Machine Learning
Course
Streaming Data with AWS Kinesis and Lambda
- AdvancedSkill Level
- 4.7+
- 160 reviews
Learn how to work with streaming data using serverless technologies on AWS.
Cloud
Course
Graph RAG with LangChain and Neo4j
- AdvancedSkill Level
- 4.7+
- 94 reviews
Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.
Artificial Intelligence
Course
Streaming Concepts
- BasicSkill Level
- 4.7+
- 464 reviews
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Data Engineering
Course
Case Study: Supply Chain Analytics in Power BI
- BasicSkill Level
- 4.8+
- 176 reviews
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Data Visualization
Course
AI-Assisted Travel Planning
- BasicSkill Level
- 4.8+
- 424 reviews
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Artificial Intelligence
Course
Corporate Finance Fundamentals
- BasicSkill Level
- 4.8+
- 212 reviews
Learn key financial concepts such as capital investment, WACC, and shareholder value.
Applied Finance
Course
Feature Engineering with PySpark
- AdvancedSkill Level
- 4.8+
- 285 reviews
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Data Manipulation
Course
Improving Your Data Visualizations in Python
- IntermediateSkill Level
- 4.7+
- 278 reviews
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Data Visualization
Course
Improving Query Performance in PostgreSQL
- IntermediateSkill Level
- 4.8+
- 393 reviews
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
Software Development
Course
Monitoring Machine Learning Concepts
- IntermediateSkill Level
- 4.7+
- 437 reviews
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
Machine Learning
Course
Understanding Digital Transformation
- BasicSkill Level
- 4.8+
- 517 reviews
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Data Literacy
Course
Fully Automated MLOps
- IntermediateSkill Level
- 4.8+
- 317 reviews
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
Machine Learning
Course
Introduction to Julia
- BasicSkill Level
- 4.8+
- 125 reviews
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Software Development
Course
Case Study: Analyzing Job Market Data in Tableau
- BasicSkill Level
- 4.7+
- 527 reviews
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
Data Visualization
Course
Spoken Language Processing in Python
- AdvancedSkill Level
- 4.8+
- 248 reviews
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Data Manipulation
Course
Conquering Data Bias
- BasicSkill Level
- 4.7+
- 216 reviews
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Data Management
Course
Introduction to GCP
- BasicSkill Level
- 4.7+
- 325 reviews
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Cloud
Course
Multi-Modal Systems with the OpenAI API
- IntermediateSkill Level
- 4.8+
- 421 reviews
Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!
Artificial Intelligence
Course
Transform and Analyze Data with Microsoft Fabric
- BasicSkill Level
- 4.7+
- 191 reviews
Learn how to transform and analyze data within your Microsoft Fabric account
Other
Course
Recommending Skincare Products
- BasicSkill Level
- 4.7+
- 262 reviews
Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.
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.