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780 Courses
Course
Introduction to Python
- BasicSkill Level
- 4.8+
- 10,328 reviews
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Software Development
Course
Introduction to SQL
- BasicSkill Level
- 4.8+
- 64,965 reviews
Learn how to create and query relational databases using SQL in just two hours.
Data Manipulation
Course
Introduction to R
- BasicSkill Level
- 4.8+
- 2,714 reviews
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Software Development
Course
Introduction to AI for Work
- BasicSkill Level
- 4.7+
- 20,483 reviews
Explore what AI is and how to use it responsibly for smarter, more productive work!
Artificial Intelligence
Course
Working with the OpenAI API
- BasicSkill Level
- 4.8+
- 9,834 reviews
Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.
Artificial Intelligence
Course
Introduction to Excel
- BasicSkill Level
- 4.8+
- 11,501 reviews
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
Data Manipulation
Course
Intermediate Python
- BasicSkill Level
- 4.7+
- 5,475 reviews
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Software Development
Course
Introduction to AI Agents
- BasicSkill Level
- 4.8+
- 25,871 reviews
Learn the fundamentals of AI agents, their components, and real-world use—no coding required.
Artificial Intelligence
Course
Understanding Prompt Engineering
- BasicSkill Level
- 4.8+
- 41,959 reviews
Learn how to write effective prompts with ChatGPT to apply in your workflow today.
Artificial Intelligence
Course
Introduction to Python for Developers
- BasicSkill Level
- 4.8+
- 12,894 reviews
Master the fundamentals of programming in Python. No prior knowledge required!
Software Development
Course
Understanding Artificial Intelligence
- BasicSkill Level
- 4.8+
- 19,855 reviews
Learn the basic concepts of Artificial Intelligence, such as machine learning, deep learning, NLP, generative AI, and more.
Artificial Intelligence
Course
Intermediate SQL
- BasicSkill Level
- 4.8+
- 40,966 reviews
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Data Manipulation
Course
Introduction to Power BI
- BasicSkill Level
- 4.8+
- 22,872 reviews
Master the Power BI basics and learn to use the data visualization software to build impactful reports.
Data Visualization
Course
Introduction to Git
- BasicSkill Level
- 4.8+
- 13,392 reviews
Discover the fundamentals of Git for version control in your software and data projects.
Software Development
Course
AI Ethics
- BasicSkill Level
- 4.8+
- 28,441 reviews
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Artificial Intelligence
Course
Understanding Cloud Computing
- BasicSkill Level
- 4.8+
- 11,510 reviews
A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.
Cloud
Course
Introduction to Data Literacy
- BasicSkill Level
- 4.8+
- 19,733 reviews
Data is all around us, which makes data literacy an essential life skill.
Data Literacy
Course
Supervised Learning with scikit-learn
- IntermediateSkill Level
- 4.8+
- 9,507 reviews
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Machine Learning
Course
Understanding Data Engineering
- BasicSkill Level
- 4.8+
- 12,501 reviews
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
Data Engineering
Course
Claude 101
- BasicSkill Level
- 4.8+
- 2,512 reviews
Learn how to use Claude for everyday work tasks, understand core features, and explore resources for more advanced learning on other topics.
Artificial Intelligence
Course
Understanding Machine Learning
- BasicSkill Level
- 4.8+
- 11,975 reviews
An introduction to machine learning with no coding involved.
Machine Learning
Course
Understanding Data Science
- BasicSkill Level
- 4.8+
- 7,991 reviews
An introduction to data science with no coding involved.
Data Literacy
Course
Introduction to Microsoft Copilot
- BasicSkill Level
- 4.8+
- 7,140 reviews
Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.
Artificial Intelligence
Course
Joining Data in SQL
- BasicSkill Level
- 4.7+
- 25,556 reviews
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Data Manipulation
Course
Introduction to Data
- BasicSkill Level
- 4.8+
- 9,617 reviews
Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.
Data Literacy
Course
Data Analysis in Excel
- BasicSkill Level
- 4.8+
- 5,664 reviews
Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.
Reporting
Course
Generative AI Concepts
- BasicSkill Level
- 4.8+
- 10,427 reviews
Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.
Artificial Intelligence
Course
Data Manipulation with pandas
- BasicSkill Level
- 4.7+
- 16,203 reviews
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Data Manipulation
Course
Data Manipulation in SQL
- BasicSkill Level
- 4.8+
- 2,911 reviews
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
Data Manipulation
Course
Introduction to DAX in Power BI
- BasicSkill Level
- 4.8+
- 13,055 reviews
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
Data Manipulation
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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