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771 Courses

Course

Google: Introduction to AI Agents

  • BasicSkill Level
  • 4.8+
  • 154 reviews

Gain an overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems.

Cloud

20 min

Course

Gemini in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 248 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

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

Digital Transformation with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 122 reviews

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

Cloud

2 hours

Course

Pivot Tables in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 222 reviews

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Data Manipulation

2 hours

Course

Writing Efficient R Code

  • IntermediateSkill Level
  • 4.7+
  • 136 reviews

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

Software Development

4 hours

Course

Input/Output and Streams in Java

  • IntermediateSkill Level
  • 4.8+
  • 419 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

Introduction to Statistics in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 609 reviews

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Probability & Statistics

4 hours

Course

Data Visualization in Tableau

  • BasicSkill Level
  • 4.7+
  • 851 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

Creating PostgreSQL Databases

  • BasicSkill Level
  • 4.8+
  • 638 reviews

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

Data Preparation

4 hours

Course

Case Study: Analyzing Customer Churn in Tableau

  • BasicSkill Level
  • 4.8+
  • 991 reviews

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

Data Visualization

3 hours

Course

AI for Marketing

  • BasicSkill Level
  • 4.7+
  • 189 reviews

Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.

Artificial Intelligence

3 hours

Course

Cleaning Data with PySpark

  • AdvancedSkill Level
  • 4.7+
  • 495 reviews

Learn how to clean data with Apache Spark in Python.

Data Preparation

4 hours

Course

Introduction to Oracle SQL

  • BasicSkill Level
  • 4.8+
  • 255 reviews

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Data Manipulation

4 hours

Course

Data Transformation with Polars

  • IntermediateSkill Level
  • 4.9+
  • 120 reviews

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

Data Manipulation

4 hours

Course

Gemini in Google Drive

  • BasicSkill Level
  • 4.8+
  • 234 reviews

Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.

Artificial Intelligence

30 min

Course

Model Context Protocol: Advanced Topics

  • IntermediateSkill Level
  • 4.9+
  • 46 reviews

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

Artificial Intelligence

3 hours

Course

Hyperparameter Tuning in Python

  • IntermediateSkill Level
  • 4.8+
  • 835 reviews

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Machine Learning

4 hours

Course

A/B Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 364 reviews

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Probability & Statistics

4 hours

Course

Marketing Analytics for Business

  • BasicSkill Level
  • 4.8+
  • 584 reviews

Discover how Marketing Analysts use data to understand customers and drive business growth.

Leadership

2 hours

Course

Data Transformation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 801 reviews

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Data Manipulation

2 hours

Course

Google: Agent Fundamentals

  • BasicSkill Level
  • 4.8+
  • 72 reviews

Learn AI agent fundamentals — how they differ from LLMs, when to use them, and explore agent architecture, orchestration, and tools.

Cloud

1 hour

Course

Introduction to Azure

  • BasicSkill Level
  • 4.8+
  • 667 reviews

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

Cloud

1 hour

Course

Introduction to KNIME

  • BasicSkill Level
  • 4.8+
  • 539 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

Dimensionality Reduction in Python

  • IntermediateSkill Level
  • 4.8+
  • 886 reviews

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Machine Learning

4 hours

Course

Introduction to Spark SQL in Python

  • AdvancedSkill Level
  • 4.7+
  • 168 reviews

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

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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