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770 Courses

Course

End-to-End Machine Learning

  • IntermediateSkill Level
  • 4.7+
  • 350 reviews

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Machine Learning

4 hours

Course

Cleaning Data in R

  • IntermediateSkill Level
  • 4.7+
  • 808 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

Course

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 201 reviews

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

Software Development

4 hours

Course

Sampling in R

  • IntermediateSkill Level
  • 4.7+
  • 873 reviews

Master sampling to get more accurate statistics with less data.

Probability & Statistics

4 hours

Course

Intermediate Workflow Automation with n8n

  • IntermediateSkill Level
  • 4.8+
  • 67 reviews

Design resilient, production-ready n8n automations that fetch APIs, process data in batches, handle errors, and run unattended on a schedule.

Artificial Intelligence

4 hours

Course

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 947 reviews

Learn to create your own Python packages to make your code easier to use and share with others.

Software Development

4 hours

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 824 reviews

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Data Engineering

4 hours

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 288 reviews

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

Applied Finance

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 136 reviews

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

Probability & Statistics

4 hours

Course

CI/CD for Machine Learning

  • AdvancedSkill Level
  • 4.7+
  • 401 reviews

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Machine Learning

5 hours

Course

Credit Risk Modeling in Python

  • IntermediateSkill Level
  • 4.7+
  • 289 reviews

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Applied Finance

4 hours

Course

Analyzing Marketing Campaigns with pandas

  • BasicSkill Level
  • 4.7+
  • 426 reviews

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Exploratory Data Analysis

4 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 998 reviews

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Machine Learning

4 hours

Course

Gemini in Google Docs

  • BasicSkill Level
  • 4.8+
  • 251 reviews

Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.

Artificial Intelligence

30 min

Course

Working with the OpenAI Responses API

  • IntermediateSkill Level
  • 4.7+
  • 175 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

Connecting Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,160 reviews

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Data Preparation

3 hours

Course

Data Validation in Excel

  • BasicSkill Level
  • 4.7+
  • 552 reviews

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Data Management

2 hours

Course

Advanced AI-Assisted Coding for Developers

  • AdvancedSkill Level
  • 4.9+
  • 144 reviews

Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.

Artificial Intelligence

1 hour 30 min

Course

Introduction to Portfolio Risk Management in Python

  • IntermediateSkill Level
  • 4.8+
  • 337 reviews

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Applied Finance

4 hours

Course

Generate a Study Guide

  • BasicSkill Level
  • 4.7+
  • 596 reviews

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Artificial Intelligence

1 hour

Course

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 814 reviews

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

Reporting

4 hours

Course

AI for Sales

  • BasicSkill Level
  • 4.7+
  • 132 reviews

Tackle your sales work in an AI-first way! Learn to automate prospecting, draft personalized emails, and streamline CRM tasks using AI.

Artificial Intelligence

1 hour 40 min

Course

Gemini in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 238 reviews

Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.

Artificial Intelligence

30 min

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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