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775 Courses

Course

Modeling with tidymodels in R

  • IntermediateSkill Level
  • 4.8+
  • 191 reviews

Learn to streamline your machine learning workflows with tidymodels.

Machine Learning

4 hours

Course

Inference for Categorical Data in R

  • AdvancedSkill Level
  • 4.8+
  • 123 reviews

In this course youll learn how to leverage statistical techniques for working with categorical data.

Probability & Statistics

4 hours

Course

Bond Valuation and Analysis in Python

  • BasicSkill Level
  • 4.8+
  • 81 reviews

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Applied Finance

4 hours

Course

Time Series Analysis in Tableau

  • IntermediateSkill Level
  • 4.7+
  • 168 reviews

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Data Visualization

2 hours

Course

Python for MATLAB Users

  • BasicSkill Level
  • 4.8+
  • 33 reviews

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Software Development

4 hours

Course

End-to-End RAG with Weaviate

  • IntermediateSkill Level
  • 4.6+
  • 22 reviews

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

Artificial Intelligence

2 hours

Course

Quantitative Risk Management in R

  • BasicSkill Level
  • 4.8+
  • 88 reviews

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Applied Finance

5 hours

Course

Google: Optimize Agent Behavior

  • IntermediateSkill Level
  • 4.8+
  • 52 reviews

Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.

Cloud

2 hours

Course

Machine Learning in the Tidyverse

  • IntermediateSkill Level
  • 4.8+
  • 122 reviews

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Machine Learning

5 hours

Course

Efficient AI Model Training with PyTorch

  • AdvancedSkill Level
  • 4.8+
  • 109 reviews

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

Artificial Intelligence

4 hours

Course

Error and Uncertainty in Google Sheets

  • IntermediateSkill Level
  • 4.7+
  • 157 reviews

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Probability & Statistics

4 hours

Course

Defensive R Programming

  • IntermediateSkill Level
  • 4.8+
  • 94 reviews

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

Software Development

4 hours

Course

Conditional Formatting in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 102 reviews

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Data Manipulation

2 hours

Course

Survival Analysis in Python

  • AdvancedSkill Level
  • 4.7+
  • 75 reviews

Use survival analysis to work with time-to-event data and predict survival time.

Probability & Statistics

4 hours

Course

Overturning Insurance Denials with Claude Cowork

  • IntermediateSkill Level
  • 4.7+
  • 20 reviews

A patients healthcare claim has been wrongly denied, and its your job to quickly synthesize the evidence and build an appeal—all using Claude Cowork!

Artificial Intelligence

15 min

Course

Analyzing IoT Data in Python

  • IntermediateSkill Level
  • 4.8+
  • 117 reviews

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Data Manipulation

4 hours

Course

Support Vector Machines in R

  • IntermediateSkill Level
  • 4.8+
  • 106 reviews

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Machine Learning

4 hours

Course

Snowflake CoCo Essentials

  • BasicSkill Level
  • 5
  • 11 reviews

Explore data, explain code, and ship pipelines and Streamlit apps faster with Snowflake CoCo, the AI coding agent built into Snowsight.

Artificial Intelligence

2 hours

Course

Data Visualization in KNIME

  • BasicSkill Level
  • 4.8+
  • 217 reviews

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Data Visualization

2 hours

Course

R For SAS Users

  • BasicSkill Level
  • 4.6+
  • 32 reviews

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Software Development

4 hours

Course

AI Infrastructure: Networking Techniques

  • IntermediateSkill Level
  • 4.9+
  • 30 reviews

Design and deploy high-performance AI/ML solutions using Google Clouds AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.

Cloud

1 hour

Course

Using AWS Security for Developers

  • IntermediateSkill Level
  • 4.7+
  • 15 reviews

Secure the AWS workloads you ship: least-privilege IAM, short-lived credentials, API authorization, secrets handling, encryption, and CloudTrail evidence.

Cloud

3 hours

Course

Essential Google Cloud Infrastructure: Core Services

  • IntermediateSkill Level
  • 4.9+
  • 48 reviews

This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.

Cloud

8 hours 15 min

Course

Gemini for Application Developers

  • IntermediateSkill Level
  • 4.8+
  • 20 reviews

You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

Cloud

1 hour 30 min

Course

Analyzing Police Activity with pandas

  • IntermediateSkill Level
  • 4.8+
  • 32 reviews

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

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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