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781 Courses

Course

Intermediate Julia

  • BasicSkill Level
  • 4.7+
  • 91 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
  • 4.8+
  • 34 reviews

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

Cloud

4 hours 30 min

Course

Scalable Data Processing in R

  • AdvancedSkill Level
  • 4.7+
  • 29 reviews

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Software Development

4 hours

Course

Gemini for end-to-end SDLC

  • IntermediateSkill Level
  • 4.8+
  • 16 reviews

With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data.

Cloud

1 hour 30 min

Course

Logging and Monitoring in Google Cloud

  • BasicSkill Level
  • 4.8+
  • 36 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+
  • 38 reviews

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

Software Development

4 hours

Course

Sentiment Analysis in R

  • IntermediateSkill Level
  • 4.7+
  • 99 reviews

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Machine Learning

4 hours

Course

Build Batch Data Pipelines on Google Cloud

  • IntermediateSkill Level
  • 4.9+
  • 14 reviews

Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

Cloud

2 hours 6 min

Course

Intermediate Portfolio Analysis in R

  • IntermediateSkill Level
  • 4.8+
  • 74 reviews

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Applied Finance

5 hours

Course

Boost Productivity with Gemini in BigQuery

  • BasicSkill Level
  • 4.8+
  • 19 reviews

Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

Cloud

1 hour 23 min

Course

Google Workspace End User: Google Chat

  • BasicSkill Level
  • 4.8+
  • 29 reviews

Learn to message individuals and groups, collaborate in spaces, and integrate Google Chat with other Workspace apps.

Cloud

2 hours 30 min

Course

Analyzing US Census Data in R

  • IntermediateSkill Level
  • 4.8+
  • 39 reviews

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

Exploratory Data Analysis

4 hours

Course

Architecting with Google Kubernetes Engine: Production

  • IntermediateSkill Level
  • 4.8+
  • 18 reviews

Secure and monitor GKE production environments. Learn access control, logging, monitoring, CI/CD pipelines, and managed storage integration on Google Cloud.

Cloud

3 hours 30 min

Course

Parallel Programming in R

  • IntermediateSkill Level
  • 4.7+
  • 81 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

Bayesian Modeling with RJAGS

  • AdvancedSkill Level
  • 4.8+
  • 55 reviews

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

Probability & Statistics

4 hours

Course

Introduction to Anomaly Detection in R

  • IntermediateSkill Level
  • 4.8+
  • 30 reviews

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

Probability & Statistics

4 hours

Course

Optimizing R Code with Rcpp

  • IntermediateSkill Level
  • 4.8+
  • 14 reviews

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

Software Development

4 hours

Course

Practicing Statistics Interview Questions in R

  • AdvancedSkill Level
  • 4.7+
  • 23 reviews

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Probability & Statistics

4 hours

Course

Dimensionality Reduction in R

  • BasicSkill Level
  • 4.8+
  • 100 reviews

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Machine Learning

4 hours

Course

Introduction to Data Visualization with Julia

  • IntermediateSkill Level
  • 4.7+
  • 34 reviews

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

Data Visualization

4 hours

Course

Building Dashboards with flexdashboard

  • IntermediateSkill Level
  • 4.7+
  • 52 reviews

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Reporting

4 hours

Course

Case Study: Ecommerce Analysis in Tableau

  • IntermediateSkill Level
  • 4.7+
  • 65 reviews

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Data Visualization

3 hours

Course

Forecasting Product Demand in R

  • IntermediateSkill Level
  • 4.7+
  • 31 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

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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