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779 Courses

Course

Transformer Models with PyTorch

  • AdvancedSkill Level
  • 4.8+
  • 976 reviews

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

Artificial Intelligence

2 hours

Course

Introduction to Google Workspace with Gemini

  • BasicSkill Level
  • 4.8+
  • 489 reviews

You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

Artificial Intelligence

30 min

Course

Intermediate dbt

  • AdvancedSkill Level
  • 4.7+
  • 1,104 reviews

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

Data Engineering

2 hours

Course

Model Context Protocol: Advanced Topics

  • IntermediateSkill Level
  • 4.9+
  • 111 reviews

Go beyond MCP basics with sampling, notifications, roots, and the STDIO and StreamableHTTP transports in Python.

Artificial Intelligence

3 hours

Course

Hypothesis Testing in R

  • IntermediateSkill Level
  • 4.7+
  • 1,064 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

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 935 reviews

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

Reporting

4 hours

Course

Web Scraping in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,110 reviews

Learn to retrieve and parse information from the internet using the Python library scrapy.

Data Preparation

4 hours

Course

Data Types and Exceptions in Java

  • IntermediateSkill Level
  • 4.7+
  • 744 reviews

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Software Development

4 hours

Course

Data Science for Business

  • BasicSkill Level
  • 4.8+
  • 1,030 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+
  • 635 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

Reshaping Data with tidyr

  • IntermediateSkill Level
  • 4.8+
  • 508 reviews

Transform almost any dataset into a tidy format to make analysis easier.

Data Manipulation

4 hours

Course

Data Storytelling Case Study: College Majors

  • BasicSkill Level
  • 4.8+
  • 1,002 reviews

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Data Literacy

1 hour

Course

Explainable AI in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,224 reviews

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Artificial Intelligence

4 hours

Course

AI for Human Resources

  • BasicSkill Level
  • 4.8+
  • 265 reviews

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

Artificial Intelligence

3 hours

Course

Data Preparation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 1,194 reviews

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

Data Preparation

3 hours

Course

Data Visualization in Tableau

  • BasicSkill Level
  • 4.7+
  • 909 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

6 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 885 reviews

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Data Manipulation

4 hours

Course

Introduction to Data Ethics

  • BasicSkill Level
  • 4.7+
  • 2,611 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

MLOps Deployment and Life Cycling

  • AdvancedSkill Level
  • 4.7+
  • 1,019 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

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 150 reviews

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

Probability & Statistics

4 hours

Course

Introduction to Deep Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 233 reviews

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Artificial Intelligence

4 hours

Course

AI for Consulting

  • BasicSkill Level
  • 4.8+
  • 288 reviews

Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.

Artificial Intelligence

3 hours

Course

Building a Marketing Dashboard with Claude Cowork

  • IntermediateSkill Level
  • 4.7+
  • 81 reviews

Want to spend more time on analysis and less time formatting charts? Build an on-brand interactive marketing dashboard from raw data with Claude Cowork.

Artificial Intelligence

15 min

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 313 reviews

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

Applied Finance

4 hours

Course

Introduction to Databricks Genie

  • BasicSkill Level
  • 4.8+
  • 156 reviews

Ask data questions in plain English with Databricks Genie - build spaces, curate business language, and monitor quality.

Data Engineering

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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