Course
Data Science for Business
- BasicSkill Level
- 4.8+
- 936 reviews
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Data Literacy
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.
728 Courses
Course
Time Series Analysis in Python
- IntermediateSkill Level
- 4.8+
- 134 reviews
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Probability & Statistics
Course
Supervised Learning in R: Classification
- IntermediateSkill Level
- 4.7+
- 139 reviews
In this course you will learn the basics of machine learning for classification.
Machine Learning
Course
Introduction to Bash Scripting
- IntermediateSkill Level
- 4.8+
- 471 reviews
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Software Development
Course
Azure App Services
- IntermediateSkill Level
- 4.7+
- 121 reviews
Build and deploy scalable web apps and serverless functions in Azure while mastering security, monitoring, and automation.
Cloud
Course
Introduction to GPTs
- BasicSkill Level
- 4.7+
- 648 reviews
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Artificial Intelligence
Course
Introduction to Databricks Lakehouse
- BasicSkill Level
- 4.7+
- 125 reviews
Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.
Data Engineering
Course
MLOps Deployment and Life Cycling
- AdvancedSkill Level
- 4.7+
- 855 reviews
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
Machine Learning
Course
Feature Engineering for Machine Learning in Python
- IntermediateSkill Level
- 4.8+
- 996 reviews
Create new features to improve the performance of your Machine Learning models.
Machine Learning
Course
Data Management in Databricks
- BasicSkill Level
- 4.7+
- 807 reviews
Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.
Data Management
Course
Introduction to Apache Kafka
- IntermediateSkill Level
- 4.7+
- 852 reviews
Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!
Data Engineering
Course
Introduction to Writing Functions in R
- BasicSkill Level
- 4.7+
- 629 reviews
Take your R skills up a notch by learning to write efficient, reusable functions.
Software Development
Course
Microsoft Copilot in PowerPoint
- BasicSkill Level
- 4.7+
- 112 reviews
Build PowerPoint presentations with Microsoft Copilot. Turn documents into slides, generate visuals, and speaker notes.
Artificial Intelligence
Course
Sampling in R
- IntermediateSkill Level
- 4.7+
- 827 reviews
Master sampling to get more accurate statistics with less data.
Probability & Statistics
Course
Intermediate SQL Server
- IntermediateSkill Level
- 4.8+
- 228 reviews
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
Software Development
Course
Artificial Intelligence Governance
- BasicSkill Level
- 4.8+
- 557 reviews
Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.
Artificial Intelligence
Course
Gemini in Google Meet
- BasicSkill Level
- 4.9+
- 272 reviews
Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.
Artificial Intelligence
Course
Developing Python Packages
- IntermediateSkill Level
- 4.7+
- 902 reviews
Learn to create your own Python packages to make your code easier to use and share with others.
Software Development
Course
Introduction to NoSQL
- BasicSkill Level
- 4.8+
- 790 reviews
Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
Data Engineering
Course
Introduction to BigQuery
- IntermediateSkill Level
- 4.8+
- 427 reviews
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
Data Engineering
Course
Introduction to Natural Language Processing in Python
- IntermediateSkill Level
- 4.7+
- 989 reviews
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Machine Learning
Course
AI for Human Resources
- BasicSkill Level
- 4.8+
- 134 reviews
Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.
Artificial Intelligence
Artificial Intelligence
Course
Gen AI: Beyond the Chatbot
- BasicSkill Level
- 4.8+
- 119 reviews
This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.
Cloud
Course
Analyzing Marketing Campaigns with pandas
- BasicSkill Level
- 4.7+
- 407 reviews
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Exploratory Data Analysis
Course
Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.8+
- 932 reviews
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Data Visualization
Course
Machine Learning for Time Series Data in Python
- AdvancedSkill Level
- 4.7+
- 170 reviews
This course focuses on feature engineering and machine learning for time series data.
Machine Learning
Course
Data Manipulation in Snowflake
- BasicSkill Level
- 4.8+
- 987 reviews
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
Data Manipulation
Course
End-to-End Machine Learning
- IntermediateSkill Level
- 4.7+
- 342 reviews
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.
Machine Learning
Course
Creating PostgreSQL Databases
- BasicSkill Level
- 4.8+
- 607 reviews
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Data Preparation
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.