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397 Courses

Course

Software Development with Windsurf

  • IntermediateSkill Level
  • 4.8+
  • 460 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+
  • 1,207 reviews

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

Reporting

4 hours

Course

Introduction to Bash Scripting

  • IntermediateSkill Level
  • 4.8+
  • 505 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

Intermediate SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 241 reviews

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Software Development

4 hours

Course

Introduction to Apache Kafka

  • IntermediateSkill Level
  • 4.7+
  • 900 reviews

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Data Engineering

2 hours

Course

Model Validation in Python

  • IntermediateSkill Level
  • 4.8+
  • 911 reviews

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

Machine Learning

4 hours

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 289 reviews

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

Applied Finance

4 hours

Course

Intermediate Python for Finance

  • IntermediateSkill Level
  • 4.8+
  • 976 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 Types and Exceptions in Java

  • IntermediateSkill Level
  • 4.8+
  • 597 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

Introduction to BigQuery

  • IntermediateSkill Level
  • 4.8+
  • 444 reviews

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

Data Engineering

4 hours

Course

Intermediate Workflow Automation with n8n

  • IntermediateSkill Level
  • 4.8+
  • 78 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

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 138 reviews

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

Probability & Statistics

4 hours

Course

Sampling in R

  • IntermediateSkill Level
  • 4.7+
  • 878 reviews

Master sampling to get more accurate statistics with less data.

Probability & Statistics

4 hours

Course

Intermediate Regression in R

  • IntermediateSkill Level
  • 4.7+
  • 809 reviews

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

Probability & Statistics

4 hours

Course

End-to-End Machine Learning

  • IntermediateSkill Level
  • 4.7+
  • 354 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

Credit Risk Modeling in Python

  • IntermediateSkill Level
  • 4.7+
  • 294 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

Cleaning Data in R

  • IntermediateSkill Level
  • 4.7+
  • 816 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

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,022 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

Introduction to Portfolio Risk Management in Python

  • IntermediateSkill Level
  • 4.8+
  • 368 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

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 955 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 Generative AI in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 359 reviews

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

Artificial Intelligence

2 hours

Course

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 823 reviews

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

Reporting

4 hours

Course

Input/Output and Streams in Java

  • IntermediateSkill Level
  • 4.8+
  • 421 reviews

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

Software Development

4 hours

Course

Writing Efficient R Code

  • IntermediateSkill Level
  • 4.7+
  • 137 reviews

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Software Development

4 hours

Course

Model Context Protocol: Advanced Topics

  • IntermediateSkill Level
  • 4.9+
  • 49 reviews

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

Artificial Intelligence

3 hours

Course

Data Transformation with Polars

  • IntermediateSkill Level
  • 4.9+
  • 122 reviews

Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Data Manipulation

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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