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349 Courses

Course

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 535 reviews

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Artificial Intelligence

1 hour

Course

Introduction to Deep Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 221 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

Understanding Modern Data Architecture

  • IntermediateSkill Level
  • 4.7+
  • 1,117 reviews

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Data Engineering

2 hours

Course

Web Scraping in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,034 reviews

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

Data Preparation

4 hours

Course

Software Development with Cursor

  • IntermediateSkill Level
  • 4.8+
  • 401 reviews

Build production-ready code with Cursor. Learn AI prompts, refactoring, testing, and advanced workflows.

Artificial Intelligence

1 hour 30 min

Course

Working with Llama 3

  • IntermediateSkill Level
  • 4.8+
  • 2,089 reviews

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Artificial Intelligence

2 hours

Course

Financial Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 504 reviews

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Applied Finance

6 hours

Course

Introduction to Agent Skills

  • IntermediateSkill Level
  • 4.8+
  • 146 reviews

Learn how to build, configure, and share Skills in Claude Code — reusable markdown instructions that Claude automatically applies to tasks at the right time.

Artificial Intelligence

2 hours 30 min

Course

Introduction to Object-Oriented Programming in Java

  • IntermediateSkill Level
  • 4.8+
  • 1,054 reviews

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Software Development

4 hours

Course

Exploratory Data Analysis in R

  • IntermediateSkill Level
  • 4.7+
  • 1,212 reviews

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

Exploratory Data Analysis

4 hours

Course

Introduction to Data Engineering

  • IntermediateSkill Level
  • 4.7+
  • 809 reviews

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Data Engineering

4 hours

Course

Intermediate Power Query in Excel

  • IntermediateSkill Level
  • 4.7+
  • 1,057 reviews

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Data Preparation

4 hours

Course

Streamlined Data Ingestion with pandas

  • IntermediateSkill Level
  • 4.8+
  • 1,781 reviews

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Data Preparation

4 hours

Course

Responsible AI Data Management

  • IntermediateSkill Level
  • 4.7+
  • 1,008 reviews

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Artificial Intelligence

1 hour

Course

Linear Classifiers in Python

  • IntermediateSkill Level
  • 4.8+
  • 326 reviews

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Machine Learning

4 hours

Course

Image Processing in Python

  • IntermediateSkill Level
  • 4.8+
  • 211 reviews

Learn to process, transform, and manipulate images at your will.

Machine Learning

4 hours

Course

Analyzing Business Data in SQL

  • IntermediateSkill Level
  • 4.8+
  • 240 reviews

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Reporting

4 hours

Course

Intermediate Regression in R

  • IntermediateSkill Level
  • 4.7+
  • 768 reviews

Learn to perform linear and logistic regression with multiple explanatory variables.

Probability & Statistics

4 hours

Course

Extreme Gradient Boosting with XGBoost

  • IntermediateSkill Level
  • 4.8+
  • 257 reviews

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Machine Learning

4 hours

Course

Explainable AI in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,079 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

Intermediate Docker

  • IntermediateSkill Level
  • 4.7+
  • 823 reviews

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

Software Development

4 hours

Course

Intermediate Python for Finance

  • IntermediateSkill Level
  • 4.8+
  • 942 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

Software Development with Windsurf

  • IntermediateSkill Level
  • 4.8+
  • 431 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

Applying SQL to Real-World Problems

  • IntermediateSkill Level
  • 4.8+
  • 1,147 reviews

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

Reporting

4 hours

Course

Experimental Design in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,773 reviews

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Probability & Statistics

4 hours

Course

Data Types and Exceptions in Java

  • IntermediateSkill Level
  • 4.8+
  • 556 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

Cleaning Data in R

  • IntermediateSkill Level
  • 4.7+
  • 784 reviews

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Data Preparation

4 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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