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711 Courses

Course

Biomedical Image Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 228 reviews

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Data Manipulation

4 hours

Course

Data Manipulation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 605 reviews

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Data Manipulation

3 hours

Course

Marketing Analytics for Business

  • BasicSkill Level
  • 4.8+
  • 547 reviews

Discover how Marketing Analysts use data to understand customers and drive business growth.

Leadership

2 hours

Course

Data Validation in Excel

  • BasicSkill Level
  • 4.7+
  • 482 reviews

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Data Management

2 hours

Course

AI for Consulting

  • BasicSkill Level
  • 4.8+
  • 91 reviews

Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.

Artificial Intelligence

3 hours

Course

Introduction to Azure

  • BasicSkill Level
  • 4.8+
  • 609 reviews

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

Cloud

1 hour

Course

Forecasting in R

  • BasicSkill Level
  • 4.8+
  • 49 reviews

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Probability & Statistics

5 hours

Course

CI/CD for Machine Learning

  • AdvancedSkill Level
  • 4.7+
  • 344 reviews

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Machine Learning

5 hours

Course

Dimensionality Reduction in Python

  • IntermediateSkill Level
  • 4.8+
  • 821 reviews

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Machine Learning

4 hours

Course

Introduction to Portfolio Risk Management in Python

  • IntermediateSkill Level
  • 4.8+
  • 302 reviews

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Applied Finance

4 hours

Course

A/B Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 347 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

Generate a Study Guide

  • BasicSkill Level
  • 4.7+
  • 515 reviews

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Artificial Intelligence

1 hour

Course

Understanding GDPR

  • BasicSkill Level
  • 4.8+
  • 470 reviews

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

Data Literacy

1 hour

Course

Natural Language Processing with spaCy

  • IntermediateSkill Level
  • 4.7+
  • 561 reviews

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Machine Learning

4 hours

Course

Introduction to R for Finance

  • BasicSkill Level
  • 4.7+
  • 92 reviews

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Applied Finance

4 hours

Course

Modeling with Data in the Tidyverse

  • IntermediateSkill Level
  • 4.8+
  • 222 reviews

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Probability & Statistics

4 hours

Course

Intermediate Google Sheets

  • BasicSkill Level
  • 4.8+
  • 793 reviews

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Data Preparation

4 hours

Course

Feature Engineering for NLP in Python

  • AdvancedSkill Level
  • 4.8+
  • 139 reviews

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Machine Learning

4 hours

Course

Data Visualization in Databricks

  • BasicSkill Level
  • 4.7+
  • 552 reviews

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

Data Visualization

3 hours

Course

Working with Geospatial Data in Python

  • IntermediateSkill Level
  • 4.8+
  • 267 reviews

This course will show you how to integrate spatial data into your Python Data Science workflow.

Data Manipulation

4 hours

Course

Gemini in Google Docs

  • BasicSkill Level
  • 4.8+
  • 139 reviews

Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.

Artificial Intelligence

30 min

Course

Developing Machine Learning Models for Production

  • IntermediateSkill Level
  • 4.8+
  • 425 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

Machine Learning for Finance in Python

  • IntermediateSkill Level
  • 4.8+
  • 204 reviews

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Machine Learning

4 hours

Course

Building Web Applications with Shiny in R

  • IntermediateSkill Level
  • 4.7+
  • 213 reviews

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Software Development

4 hours

Course

Linear Algebra for Data Science in R

  • IntermediateSkill Level
  • 4.7+
  • 131 reviews

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Probability & Statistics

4 hours

Course

Intermediate SQL Querying with AI

  • BasicSkill Level
  • 4.9+
  • 212 reviews

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Data Manipulation

3 hours

Course

Reporting with R Markdown

  • IntermediateSkill Level
  • 4.7+
  • 309 reviews

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Reporting

4 hours

Course

Introduction to Bioconductor in R

  • IntermediateSkill Level
  • 4.7+
  • 104 reviews

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

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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