Course
Streamlined Data Ingestion with pandas
- IntermediateSkill Level
- 4.8+
- 2,140 reviews
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Data Preparation
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775 Courses
Course
Introduction to Statistics in Google Sheets
- BasicSkill Level
- 4.8+
- 690 reviews
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Probability & Statistics
Course
AI for Data Analysts
- IntermediateSkill Level
- 4.7+
- 161 reviews
Use AI across every stage of your data analysis. Write sharper prompts, audit data quality, find insights worth chasing, and ship work you can trust.
Artificial Intelligence
Course
Developing AI Systems with the OpenAI API
- IntermediateSkill Level
- 4.7+
- 3,134 reviews
Leverage the OpenAI API to get your AI applications ready for production.
Artificial Intelligence
Course
Advanced AI-Assisted Coding for Developers
- AdvancedSkill Level
- 4.8+
- 381 reviews
Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.
Artificial Intelligence
Course
Introduction to Databricks Lakehouse
- BasicSkill Level
- 4.7+
- 377 reviews
Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.
Data Engineering
Course
Databricks Concepts
- BasicSkill Level
- 4.7+
- 1,015 reviews
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Data Engineering
Course
Understanding Microsoft Azure Management and Governance
- BasicSkill Level
- 4.8+
- 1,509 reviews
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Cloud
Course
Financial Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 587 reviews
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Applied Finance
Course
Machine Learning for Business
- BasicSkill Level
- 4.8+
- 1,900 reviews
Understand the fundamentals of Machine Learning and how its applied in the business world.
Machine Learning
Course
Introduction to R for Finance
- BasicSkill Level
- 4.7+
- 109 reviews
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Applied Finance
Course
Data Visualization in Google Sheets
- BasicSkill Level
- 4.8+
- 730 reviews
Learn the fundamentals of data visualization using Google Sheets.
Data Visualization
Course
Working with Categorical Data in Python
- IntermediateSkill Level
- 4.7+
- 2,914 reviews
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Data Manipulation
Course
Applying SQL to Real-World Problems
- IntermediateSkill Level
- 4.8+
- 1,391 reviews
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Reporting
Course
Joining Data with dplyr
- BasicSkill Level
- 4.7+
- 1,373 reviews
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Data Manipulation
Course
DevOps Concepts
- BasicSkill Level
- 4.8+
- 1,009 reviews
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Software Development
Course
Google: Introduction to AI Agents
- BasicSkill Level
- 4.8+
- 362 reviews
Gain an overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems.
Cloud
Course
Introduction to Sigma
- BasicSkill Level
- 4.8+
- 587 reviews
Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.
Data Manipulation
Course
Creating PostgreSQL Databases
- BasicSkill Level
- 4.8+
- 823 reviews
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Data Preparation
Course
Introduction to Bash Scripting
- IntermediateSkill Level
- 4.8+
- 579 reviews
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Software Development
Course
Data Management Concepts
- BasicSkill Level
- 4.8+
- 1,300 reviews
Master the key concepts of data management, from life cycle stages to security and governance.
Data Management
Course
Deep Learning for Images with PyTorch
- AdvancedSkill Level
- 4.7+
- 878 reviews
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
Artificial Intelligence
Course
Linear Classifiers in Python
- IntermediateSkill Level
- 4.8+
- 362 reviews
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Machine Learning
Course
Introduction to Data Ethics
- BasicSkill Level
- 4.7+
- 2,647 reviews
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Data Literacy
Course
Data Visualization in Tableau
- BasicSkill Level
- 4.8+
- 938 reviews
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Data Visualization
Course
Connecting Data in Tableau
- BasicSkill Level
- 4.8+
- 1,302 reviews
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Data Preparation
Course
Data Management in Databricks
- BasicSkill Level
- 4.7+
- 1,032 reviews
Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.
Data Management
Course
Reshaping Data with tidyr
- IntermediateSkill Level
- 4.8+
- 514 reviews
Transform almost any dataset into a tidy format to make analysis easier.
Data Manipulation
Course
Intermediate SQL Server
- IntermediateSkill Level
- 4.8+
- 275 reviews
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
Software Development
Course
Data Science for Business
- BasicSkill Level
- 4.8+
- 1,044 reviews
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Data Literacy
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.
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