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775 Courses

Course

Data Visualization in Databricks

  • BasicSkill Level
  • 4.8+
  • 668 reviews

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Data Visualization

3 hours

Course

Writing Efficient R Code

  • IntermediateSkill Level
  • 4.7+
  • 144 reviews

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

Software Development

4 hours

Course

AI for Marketing

  • BasicSkill Level
  • 4.8+
  • 232 reviews

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

Artificial Intelligence

3 hours

Course

Gemini in Google Slides

  • BasicSkill Level
  • 4.8+
  • 398 reviews

Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

Artificial Intelligence

30 min

Course

Introduction to Oracle SQL

  • BasicSkill Level
  • 4.8+
  • 272 reviews

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

Data Manipulation

4 hours

Course

Gemini in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 292 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

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 994 reviews

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

Software Development

4 hours

Course

A/B Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 386 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

Data Transformation with Polars

  • IntermediateSkill Level
  • 4.8+
  • 149 reviews

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

Data Manipulation

4 hours

Course

Introduction to Portfolio Analysis in Python

  • AdvancedSkill Level
  • 4.8+
  • 394 reviews

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Applied Finance

4 hours

Course

Deep Learning for Text with PyTorch

  • AdvancedSkill Level
  • 4.7+
  • 813 reviews

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Artificial Intelligence

4 hours

Course

Google: Agent Fundamentals

  • BasicSkill Level
  • 4.8+
  • 94 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

Intermediate Regression in R

  • IntermediateSkill Level
  • 4.7+
  • 828 reviews

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

Probability & Statistics

4 hours

Course

Gen AI Apps: Transform Your Work

  • BasicSkill Level
  • 4.8+
  • 234 reviews

This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.

Cloud

1 hour 15 min

Course

Data Storytelling Case Study: Green Businesses

  • BasicSkill Level
  • 4.8+
  • 900 reviews

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Data Literacy

1 hour

Course

Data Types and Functions in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 593 reviews

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Data Manipulation

3 hours

Course

Developing Machine Learning Models for Production

  • IntermediateSkill Level
  • 4.8+
  • 522 reviews

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Machine Learning

4 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 848 reviews

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Data Manipulation

4 hours

Course

Introduction to Azure

  • BasicSkill Level
  • 4.8+
  • 707 reviews

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

Cloud

1 hour

Course

Introduction to Generative AI in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 376 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 Spark SQL in Python

  • AdvancedSkill Level
  • 4.7+
  • 203 reviews

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

Data Manipulation

4 hours

Course

Pivot Tables in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 228 reviews

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

Data Manipulation

2 hours

Course

User-Oriented Design in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 493 reviews

Learn how to design Power BI visualizations and reports with users in mind.

Data Visualization

2 hours

Course

Create Engaging Video with Google Vids

  • BasicSkill Level
  • 4.9+
  • 368 reviews

Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.

Cloud

30 min

Course

Case Study: Analyzing Customer Churn in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,045 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

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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