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397 Courses

Course

Introduction to Regression in R

  • IntermediateSkill Level
  • 4.8+
  • 1,500 reviews

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Probability & Statistics

4 hours

Course

Natural Language Processing (NLP) in Python

  • IntermediateSkill Level
  • 4.8+
  • 793 reviews

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Artificial Intelligence

4 hours

Course

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 566 reviews

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

Artificial Intelligence

1 hour

Course

Working with Llama 3

  • IntermediateSkill Level
  • 4.8+
  • 2,265 reviews

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

Artificial Intelligence

2 hours

Course

Understanding Modern Data Architecture

  • IntermediateSkill Level
  • 4.7+
  • 1,179 reviews

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

Data Engineering

2 hours

Course

Introduction to Subagents

  • IntermediateSkill Level
  • 4.8+
  • 271 reviews

Learn how to use and create sub-agents in Claude Code to manage context, delegate tasks, and build workflows that keep your conversation clean and focused.

Artificial Intelligence

2 hours

Course

Software Development with Cursor

  • IntermediateSkill Level
  • 4.8+
  • 440 reviews

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

Artificial Intelligence

1 hour 30 min

Course

Responsible AI Data Management

  • IntermediateSkill Level
  • 4.7+
  • 1,104 reviews

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

Artificial Intelligence

1 hour

Course

Introduction to Deep Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 229 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

Introduction to Object-Oriented Programming in Java

  • IntermediateSkill Level
  • 4.8+
  • 1,124 reviews

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

Software Development

4 hours

Course

Streamlined Data Ingestion with pandas

  • IntermediateSkill Level
  • 4.8+
  • 1,901 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

Financial Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 534 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

Analyzing Business Data in SQL

  • IntermediateSkill Level
  • 4.8+
  • 247 reviews

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

Reporting

4 hours

Course

Web Scraping in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,069 reviews

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

Data Preparation

4 hours

Course

AI for Data Analysts

  • IntermediateSkill Level
  • 4.7+
  • 61 reviews

Use AI across every stage of your data analysis. Write sharper prompts, audit data quality, find insights worth chasing, and ship work you can trust.

Artificial Intelligence

4 hours

Course

Exploratory Data Analysis in R

  • IntermediateSkill Level
  • 4.7+
  • 1,249 reviews

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

Exploratory Data Analysis

4 hours

Course

Intermediate Power Query in Excel

  • IntermediateSkill Level
  • 4.7+
  • 1,136 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

Hypothesis Testing in R

  • IntermediateSkill Level
  • 4.7+
  • 1,016 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

Linear Classifiers in Python

  • IntermediateSkill Level
  • 4.8+
  • 338 reviews

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

Machine Learning

4 hours

Course

Explainable AI in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,128 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

Extreme Gradient Boosting with XGBoost

  • IntermediateSkill Level
  • 4.8+
  • 267 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

Experimental Design in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,859 reviews

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

Probability & Statistics

4 hours

Course

Working with the OpenAI Responses API

  • IntermediateSkill Level
  • 4.8+
  • 242 reviews

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

Artificial Intelligence

3 hours

Course

Image Processing in Python

  • IntermediateSkill Level
  • 4.8+
  • 216 reviews

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

Machine Learning

4 hours

Course

Intermediate Docker

  • IntermediateSkill Level
  • 4.7+
  • 855 reviews

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

Software Development

4 hours

Course

Azure App Services

  • IntermediateSkill Level
  • 4.7+
  • 147 reviews

Build and deploy scalable web apps and serverless functions in Azure while mastering security, monitoring, and automation.

Cloud

3 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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