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.

Data, AI, and Cloud Courses

Follow 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

Introduction to AI for Work

Explore what AI is and how to use it responsibly for smarter, more productive work!

AI Native

BasicSkill Level

2-3 hoursArtificial IntelligenceJames ChapmanCourse

Introduction to Data

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.

BasicSkill Level

2-3 hoursData LiteracyJoe FranklinCourse

Introduction to Tableau

Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

BasicSkill Level

Over 3 hoursData VisualizationCarl RosseelCourse

Understanding Data Visualization

An introduction to data visualization with no coding involved.

BasicSkill Level

2-3 hoursData VisualizationRichie CottonCourse

Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

IntermediateSkill Level

Over 3 hoursProbability & StatisticsMaggie MatsuiCourse

Large Language Models (LLMs) Concepts

Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.

BasicSkill Level

2-3 hoursArtificial IntelligenceVidhi ChughCourse

Communicating Data Insights

Data-driven organizations consistently rely on insights to inspire action and drive change.

BasicSkill Level

2-3 hoursData LiteracyJoe FranklinCourse

Joining Data with pandas

Learn to combine data from multiple tables by joining data together using pandas.

IntermediateSkill Level

Over 3 hoursData ManipulationAaren StubberfieldCourse

Intermediate R

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

BasicSkill Level

Over 3 hoursSoftware DevelopmentFilip SchouwenaarsCourse

Introduction to Snowflake

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

BasicSkill Level

2-3 hoursData WarehouseDanny HongCourse

Exploratory Data Analysis in Python

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

IntermediateSkill Level

Over 3 hoursExploratory Data AnalysisGeorge BoormanCourse

Exploratory Data Analysis in SQL

Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

IntermediateSkill Level

Over 3 hoursExploratory Data AnalysisChristina MaimoneCourse

Vibe Coding with Replit

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

BasicSkill Level

2-3 hoursArtificial IntelligenceMatt PalmerCourse

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

BasicSkill Level

Over 3 hoursSoftware DevelopmentDavid RobinsonCourse

Introduction to Deep Learning with PyTorch

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

IntermediateSkill Level

Over 3 hoursArtificial IntelligenceJasmin LudolfCourse

Case Study: Analyzing Customer Churn in Power BI

You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

BasicSkill Level

Over 3 hoursData VisualizationIason PrassidesCourse

Implementing AI Solutions in Business

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

BasicSkill Level

2-3 hoursArtificial IntelligenceJacob MarquezCourse

Intermediate Python for Developers

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

BasicSkill Level

2-3 hoursSoftware DevelopmentGeorge BoormanCourse

Data Preparation in Power BI

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

BasicSkill Level

Over 3 hoursData PreparationKhaled ChoucriCourse

Data Preparation in Excel

Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

BasicSkill Level

Over 3 hoursData PreparationIason PrassidesCourse

Database Design

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

BasicSkill Level

Over 3 hoursData EngineeringLis SulmontCourse

Data Modeling in Power BI

Learn the key concepts of data modeling on Power BI.

BasicSkill Level

Over 3 hoursData ManipulationMaarten Van den BroeckCourse

Introduction to ChatGPT

Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!

BasicSkill Level

1-2 hoursArtificial IntelligenceJoe FranklinCourse

Introduction to Data Culture

Learn the key components of building a strong data culture within an organization.

BasicSkill Level

1-2 hoursData LiteracyJoanne XiongCourse

Introduction to Data Visualization with Seaborn

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

BasicSkill Level

Over 3 hoursData VisualizationDataCamp Content CreatorCourse

Introduction to Data Visualization with Matplotlib

Learn how to create, customize, and share data visualizations using Matplotlib.

BasicSkill Level

Over 3 hoursData VisualizationAriel RokemCourse

Introduction to Relational Databases in SQL

Learn how to create one of the most efficient ways of storing data - relational databases!

BasicSkill Level

Over 3 hoursSoftware DevelopmentTimo GrossenbacherCourse

Introduction to Data Visualization with ggplot2

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

BasicSkill Level

Over 3 hoursData VisualizationRick ScavettaCourse

Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

IntermediateSkill Level

Over 3 hoursMachine LearningBenjamin WilsonCourse

Working with Hugging Face

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

BasicSkill Level

2-3 hoursArtificial IntelligenceJacob MarquezCourse

FAQs

Introduction to AI for Work

Introduction to Data

Introduction to Tableau

Understanding Data Visualization

Introduction to Statistics in Python

Large Language Models (LLMs) Concepts

Communicating Data Insights

Joining Data with pandas

Intermediate R

Introduction to Snowflake

Exploratory Data Analysis in Python

Exploratory Data Analysis in SQL

Vibe Coding with Replit

Introduction to the Tidyverse

Introduction to Deep Learning with PyTorch

Case Study: Analyzing Customer Churn in Power BI

Implementing AI Solutions in Business

Intermediate Python for Developers

Data Preparation in Power BI

Data Preparation in Excel

Database Design

Data Modeling in Power BI

Introduction to ChatGPT

Introduction to Data Culture

Introduction to Data Visualization with Seaborn

Introduction to Data Visualization with Matplotlib

Introduction to Relational Databases in SQL

Introduction to Data Visualization with ggplot2

Unsupervised Learning in Python

Working with Hugging Face

Skill Level

technology

topic

FAQs

How can I learn data science?

What skills are required for data science?

What can I use data science for?

Is data science a good career?

Is it difficult to become a data scientist?

Does data science require coding?

How long does it take to become a data scientist?

What topics can I study within data science?