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771 Courses

Course

Supervised Learning in R: Classification

  • IntermediateSkill Level
  • 4.7+
  • 141 reviews

In this course you will learn the basics of machine learning for classification.

Machine Learning

4 hours

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 809 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

Model Validation in Python

  • IntermediateSkill Level
  • 4.8+
  • 872 reviews

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

Machine Learning

4 hours

Course

Sampling in R

  • IntermediateSkill Level
  • 4.7+
  • 843 reviews

Master sampling to get more accurate statistics with less data.

Probability & Statistics

4 hours

Course

Understanding GDPR

  • BasicSkill Level
  • 4.8+
  • 521 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

Analyzing Marketing Campaigns with pandas

  • BasicSkill Level
  • 4.7+
  • 417 reviews

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

Exploratory Data Analysis

4 hours

Course

Input/Output and Streams in Java

  • IntermediateSkill Level
  • 4.8+
  • 390 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

Data Pipeline Automation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 124 reviews

Load, automate, and optimize data pipelines in Snowflake using COPY INTO, Snowpipe, streams, tasks, dynamic tables, and query performance tools.

Data Engineering

3 hours

Course

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 193 reviews

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

Software Development

4 hours

Course

Connecting Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,143 reviews

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

Data Preparation

3 hours

Course

Claude Code in Action

  • IntermediateSkill Level
  • 4.9+
  • 53 reviews

Get hands-on with Claude Code, Anthropics terminal AI agent: master context, plan mode, custom commands, MCP, and hooks to ship real work you can trust.

Artificial Intelligence

3 hours

Course

CI/CD for Machine Learning

  • AdvancedSkill Level
  • 4.7+
  • 391 reviews

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

Machine Learning

5 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 973 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

AI for Data Analysts

  • IntermediateSkill Level
  • 4.7+
  • 35 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

Data Visualization in Tableau

  • BasicSkill Level
  • 4.7+
  • 830 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

Credit Risk Modeling in Python

  • IntermediateSkill Level
  • 4.7+
  • 281 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

Snowflake Management, Governance & Collaboration

  • BasicSkill Level
  • 4.8+
  • 125 reviews

Learn to secure, govern, and manage Snowflake at scale. Cover RBAC, data masking, cost monitoring, Time Travel, and secure data sharing.

Data Management

3 hours

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 286 reviews

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

Applied Finance

4 hours

Course

Creating PostgreSQL Databases

  • BasicSkill Level
  • 4.8+
  • 619 reviews

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Data Preparation

4 hours

Course

Writing Efficient R Code

  • IntermediateSkill Level
  • 4.7+
  • 135 reviews

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

Software Development

4 hours

Course

Intermediate Workflow Automation with n8n

  • IntermediateSkill Level
  • 4.8+
  • 57 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

Introduction to Generative AI in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 351 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

Introduction to Polars

  • BasicSkill Level
  • 4.8+
  • 395 reviews

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Data Manipulation

3 hours

Course

Introduction to KNIME

  • BasicSkill Level
  • 4.8+
  • 536 reviews

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Data Preparation

3 hours

Course

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 797 reviews

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

Reporting

4 hours

Course

ARIMA Models in R

  • BasicSkill Level
  • 4.8+
  • 310 reviews

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Probability & Statistics

4 hours

Course

Data Validation in Excel

  • BasicSkill Level
  • 4.7+
  • 531 reviews

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

Data Management

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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