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730 Courses

Course

Google: Build and Deploy Agents in Production

  • BasicSkill Level
  • 4.7+
  • 15 reviews

Explore multi-agent system architecture and deployment using Googles ADK and Google Cloud infrastructure for production-grade agent applications.

Cloud

30 min

Course

Google Workspace End User: Gmail

  • BasicSkill Level
  • 4.7+
  • 15 reviews

Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.

Cloud

7 hours 15 min

Course

Life Insurance Products Valuation in R

  • BasicSkill Level
  • 4.8+
  • 47 reviews

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Applied Finance

4 hours

Course

Intermediate Julia

  • BasicSkill Level
  • 4.7+
  • 79 reviews

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

Software Development

4 hours

Course

Observability in Google Cloud

  • BasicSkill Level
  • 4.9+
  • 15 reviews

This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

Cloud

4 hours 30 min

Course

Google: Human-Centered AI

  • BasicSkill Level
  • 5
  • 14 reviews

Learn human-centric AI orchestration. Distinguish between augmentation and automation, and balance machine efficiency with human intuition.

Cloud

10 min

Course

Logging and Monitoring in Google Cloud

  • BasicSkill Level
  • 4.9+
  • 16 reviews

This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring.

Cloud

5 hours 15 min

Course

Intermediate Regular Expressions in R

  • IntermediateSkill Level
  • 4.8+
  • 33 reviews

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Software Development

4 hours

Course

Equity Valuation in R

  • IntermediateSkill Level
  • 4.8+
  • 63 reviews

Learn the fundamentals of valuing stocks.

Applied Finance

4 hours

Course

Defensive R Programming

  • IntermediateSkill Level
  • 4.9+
  • 71 reviews

Learn defensive programming in R to make your code more robust.

Software Development

4 hours

Course

Building Response Models in R

  • IntermediateSkill Level
  • 4.8+
  • 29 reviews

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

Probability & Statistics

4 hours

Course

Bayesian Modeling with RJAGS

  • AdvancedSkill Level
  • 4.8+
  • 48 reviews

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Probability & Statistics

4 hours

Course

Model Context Protocol: Advanced Topics

  • IntermediateSkill Level
  • 5
  • 5 reviews

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

Artificial Intelligence

3 hours

Course

Google: Deploy Your First Agent

  • BasicSkill Level
  • 5
  • 7 reviews

Deploy ADK agents to production using Vertex AI Agent Engine and Cloud Run. Add persistent cross-session memory with Memory Bank.

Cloud

1 hour

Course

Optimizing R Code with Rcpp

  • IntermediateSkill Level
  • 4.9+
  • 12 reviews

Use C++ to dramatically boost the performance of your R code.

Software Development

4 hours

Course

Analyzing US Census Data in R

  • IntermediateSkill Level
  • 4.8+
  • 37 reviews

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Exploratory Data Analysis

4 hours

Course

Building Data Pipelines with Airflow

  • AdvancedSkill Level
  • 5
  • 2 reviews

Author Dags with the TaskFlow API, asset-based scheduling, and deferrable sensors, and run an end-to-end SQL ETL pipeline with quality checks.

Data Engineering

4 hours

Course

Data Manipulation in Julia

  • BasicSkill Level
  • 4.7+
  • 39 reviews

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Data Manipulation

4 hours

Course

Parallel Programming in R

  • IntermediateSkill Level
  • 4.7+
  • 72 reviews

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Software Development

4 hours

Course

Interactive Data Visualization with Bokeh

  • IntermediateSkill Level
  • 4.7+
  • 41 reviews

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Data Visualization

4 hours

Course

Forecasting Product Demand in R

  • IntermediateSkill Level
  • 4.6+
  • 29 reviews

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Probability & Statistics

4 hours

Course

Introduction to Anomaly Detection in R

  • IntermediateSkill Level
  • 4.8+
  • 26 reviews

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Probability & Statistics

4 hours

Course

Machine Translation with Keras

  • AdvancedSkill Level
  • 4.8+
  • 46 reviews

Are you curious about the inner workings of the models that are behind products like Google Translate?

Artificial Intelligence

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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Make progress on the go with our mobile courses and daily 5-minute coding challenges.