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528 Courses

Course

Exploratory Data Analysis in R

  • IntermediateSkill Level
  • 4.7+
  • 1,254 reviews

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Exploratory Data Analysis

4 hours

Course

Data-Driven Decision Making for Business

  • BasicSkill Level
  • 4.8+
  • 970 reviews

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Leadership

2 hours

Course

Hypothesis Testing in R

  • IntermediateSkill Level
  • 4.7+
  • 1,027 reviews

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Probability & Statistics

4 hours

Course

MLOps Deployment and Life Cycling

  • AdvancedSkill Level
  • 4.7+
  • 954 reviews

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Machine Learning

4 hours

Course

Transformer Models with PyTorch

  • AdvancedSkill Level
  • 4.8+
  • 903 reviews

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Artificial Intelligence

2 hours

Course

Create Engaging Video with Google Vids

  • BasicSkill Level
  • 4.9+
  • 347 reviews

Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.

Cloud

30 min

Course

Intermediate Docker

  • IntermediateSkill Level
  • 4.7+
  • 871 reviews

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Software Development

4 hours

Course

Joining Data with dplyr

  • BasicSkill Level
  • 4.7+
  • 1,293 reviews

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Data Manipulation

4 hours

Course

Data Preparation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 1,148 reviews

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Data Preparation

3 hours

Course

Applying SQL to Real-World Problems

  • IntermediateSkill Level
  • 4.8+
  • 1,241 reviews

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Reporting

4 hours

Course

DevOps Concepts

  • BasicSkill Level
  • 4.8+
  • 906 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

4 hours

Course

Introduction to Data Ethics

  • BasicSkill Level
  • 4.7+
  • 2,533 reviews

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Data Literacy

1 hour

Course

Data Science for Business

  • BasicSkill Level
  • 4.8+
  • 989 reviews

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Data Literacy

2 hours

Course

Understanding GDPR

  • BasicSkill Level
  • 4.8+
  • 570 reviews

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Data Literacy

1 hour

Course

Introduction to Bash Scripting

  • IntermediateSkill Level
  • 4.8+
  • 516 reviews

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Software Development

4 hours

Course

Gemini in Gmail

  • BasicSkill Level
  • 4.8+
  • 364 reviews

Learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.

Artificial Intelligence

30 min

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 294 reviews

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Applied Finance

4 hours

Course

Data Manipulation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 1,088 reviews

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Data Manipulation

2 hours

Course

Software Development with Windsurf

  • IntermediateSkill Level
  • 4.8+
  • 469 reviews

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

Artificial Intelligence

1 hour 30 min

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 142 reviews

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

Intermediate Python for Finance

  • IntermediateSkill Level
  • 4.8+
  • 990 reviews

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Applied Finance

4 hours

Course

Data Storytelling Case Study: Green Businesses

  • BasicSkill Level
  • 4.8+
  • 877 reviews

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Data Literacy

1 hour

Course

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 209 reviews

Learn about string manipulation and become a master at using regular expressions.

Software Development

4 hours

Course

Model Validation in Python

  • IntermediateSkill Level
  • 4.8+
  • 933 reviews

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Machine Learning

4 hours

Course

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 856 reviews

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Reporting

4 hours

Course

Introduction to BigQuery

  • IntermediateSkill Level
  • 4.8+
  • 453 reviews

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Data Engineering

4 hours

Course

Digital Transformation with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 135 reviews

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

Cloud

2 hours

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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