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341 Courses

Course

Google DeepMind: Fine-Tune Your Model

  • IntermediateSkill Level
  • 4.7+
  • 12 reviews

Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task.

Cloud

8 hours

Course

Financial Trading in R

  • IntermediateSkill Level
  • 4.8+
  • 72 reviews

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Applied Finance

5 hours

Course

Case Study: Analyzing Fitness Data in Alteryx

  • IntermediateSkill Level
  • 4.8+
  • 54 reviews

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

Data Preparation

3 hours

Course

Analyzing Survey Data in Python

  • IntermediateSkill Level
  • 4.6+
  • 50 reviews

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Probability & Statistics

4 hours

Course

Equity Valuation in R

  • IntermediateSkill Level
  • 4.8+
  • 62 reviews

Learn the fundamentals of valuing stocks.

Applied Finance

4 hours

Course

Programming with dplyr

  • IntermediateSkill Level
  • 4.7+
  • 47 reviews

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Data Manipulation

4 hours

Course

Interactive Data Visualization with Bokeh

  • IntermediateSkill Level
  • 4.7+
  • 40 reviews

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

Data Visualization

4 hours

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

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

Parallel Programming in R

  • IntermediateSkill Level
  • 4.7+
  • 71 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

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

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

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

Introduction to Data Visualization with Julia

  • IntermediateSkill Level
  • 4.7+
  • 29 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

Introduction to Anomaly Detection in R

  • IntermediateSkill Level
  • 4.8+
  • 25 reviews

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

Probability & Statistics

4 hours

Course

Mixture Models in R

  • IntermediateSkill Level
  • 4.8+
  • 20 reviews

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Probability & Statistics

4 hours

Course

Claude Code in Action

  • IntermediateSkill Level
  • 5
  • 3 reviews

Get hands-on with Claude Code, Anthropics terminal AI agent: master context, plan mode, custom commands, MCP, and hooks to ship real work you can trust.

Artificial Intelligence

3 hours

Course

Predicting CTR with Machine Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 18 reviews

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

Machine Learning

4 hours

Course

Build Batch Data Pipelines on Google Cloud

  • IntermediateSkill Level
  • 4.8+
  • 6 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

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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