Course
Data-Driven Decision Making in SQL
- IntermediateSkill Level
- 4.8+
- 5,023 reviews
Learn how to analyze a SQL table and report insights to management.
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.
306 Courses
Course
Forming Analytical Questions
- BasicSkill Level
- 4.8+
- 4,258 reviews
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Data Literacy
Course
Cleaning Data with Generative AI
- BasicSkill Level
- 4.7+
- 1,764 reviews
Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.
Artificial Intelligence
Course
Analyzing Business Data in SQL
- IntermediateSkill Level
- 4.8+
- 280 reviews
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
Reporting
Course
Streamlined Data Ingestion with pandas
- IntermediateSkill Level
- 4.8+
- 2,139 reviews
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Data Preparation
Course
Data-Driven Decision Making for Business
- BasicSkill Level
- 4.8+
- 1,079 reviews
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Leadership
Course
Joining Data with dplyr
- BasicSkill Level
- 4.7+
- 1,370 reviews
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Data Manipulation
Course
Data Science for Business
- BasicSkill Level
- 4.8+
- 1,042 reviews
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Data Literacy
Course
Data Visualization in Databricks
- BasicSkill Level
- 4.8+
- 727 reviews
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.
Data Visualization
Course
Importing and Managing Financial Data in Python
- IntermediateSkill Level
- 4.8+
- 72 reviews
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Applied Finance
Course
Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.8+
- 1,098 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
Introduction to Databases in Python
- IntermediateSkill Level
- 4.8+
- 323 reviews
In this course, youll learn the basics of relational databases and how to interact with them.
Data Manipulation
Course
Functions for Manipulating Data in SQL Server
- IntermediateSkill Level
- 4.9+
- 114 reviews
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
Data Manipulation
Course
Intermediate Data Visualization with Seaborn
- IntermediateSkill Level
- 4.8+
- 496 reviews
Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.
Data Visualization
Course
Cleaning Data in PostgreSQL Databases
- IntermediateSkill Level
- 4.8+
- 490 reviews
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Data Preparation
Course
Dealing with Missing Data in Python
- IntermediateSkill Level
- 4.8+
- 222 reviews
Learn how to identify, analyze, remove and impute missing data in Python.
Data Manipulation
Course
Streaming Data with AWS Kinesis and Lambda
- AdvancedSkill Level
- 4.7+
- 199 reviews
Learn how to work with streaming data using serverless technologies on AWS.
Cloud
Course
Analyzing Social Media Data in Python
- IntermediateSkill Level
- 4.8+
- 35 reviews
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Data Manipulation
Course
Analyzing Survey Data in R
- IntermediateSkill Level
- 4.8+
- 232 reviews
Learn survey design using common design structures followed by visualizing and analyzing survey results.
Probability & Statistics
Course
Data Manipulation in KNIME
- BasicSkill Level
- 4.8+
- 270 reviews
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
Data Manipulation
Course
Analyzing Survey Data in Python
- IntermediateSkill Level
- 4.6+
- 59 reviews
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
Case Study: Analyzing Fitness Data in Alteryx
- IntermediateSkill Level
- 4.8+
- 60 reviews
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Data Preparation
Course
Case Study: Analyzing City Time Series Data in R
- IntermediateSkill Level
- 4.8+
- 148 reviews
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Probability & Statistics
Course
Scalable Data Processing in R
- AdvancedSkill Level
- 4.7+
- 29 reviews
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Software Development
Course
Predictive Analytics using Networked Data in R
- IntermediateSkill Level
- 4.8+
- 35 reviews
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Probability & Statistics
Course
Introduction to Snowflake
- BasicSkill Level
- 4.7+
- 5,428 reviews
Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.
Data Warehouse
Course
Introduction to Tableau
- BasicSkill Level
- 4.8+
- 5,960 reviews
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.
Data Visualization
Course
Introduction to Databricks
- BasicSkill Level
- 4.7+
- 4,102 reviews
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Data Engineering
Course
Introduction to SQL Querying with AI
- BasicSkill Level
- 4.8+
- 820 reviews
Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Data Manipulation
Course
Creating Dashboards in Tableau
- BasicSkill Level
- 4.8+
- 1,654 reviews
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Data Visualization
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.