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772 Courses

Course

Data Strategy

  • BasicSkill Level
  • 4.7+
  • 1,857 reviews

Master strategic data management for business excellence.

Data Management

1 hour

Course

Intermediate R for Finance

  • BasicSkill Level
  • 4.8+
  • 46 reviews

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Applied Finance

5 hours

Course

Supervised Learning in R: Regression

  • IntermediateSkill Level
  • 4.6+
  • 110 reviews

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Machine Learning

4 hours

Course

NoSQL Concepts

  • IntermediateSkill Level
  • 4.8+
  • 612 reviews

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Data Engineering

2 hours

Course

Building Agents with Microsoft Copilot Studio

  • BasicSkill Level
  • 4.8+
  • 17 reviews

Build no-code Copilot Studio agents and flows that answer routine questions, take action, and cite approved sources.

Artificial Intelligence

3 hours

Course

Google: Enterprise Agents and Use Cases

  • BasicSkill Level
  • 4.8+
  • 219 reviews

Map agent types to your KPIs and explore use cases that solve problems, learn how Gemini Enterprise empowers you to build and orchestrate the right agents.

Cloud

45 min

Course

Gemini in Google Docs

  • BasicSkill Level
  • 4.8+
  • 368 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

Gemini in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 370 reviews

Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.

Artificial Intelligence

30 min

Course

Quantitative Risk Management in Python

  • AdvancedSkill Level
  • 4.8+
  • 278 reviews

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Applied Finance

4 hours

Course

CI/CD for Machine Learning

  • AdvancedSkill Level
  • 4.7+
  • 468 reviews

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

Machine Learning

5 hours

Course

Case Study: Analyzing Customer Churn in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,102 reviews

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

Data Visualization

3 hours

Course

Data Manipulation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 1,172 reviews

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Data Manipulation

2 hours

Course

Snowflake Management, Governance & Collaboration

  • BasicSkill Level
  • 4.8+
  • 238 reviews

Learn to secure, govern, and manage Snowflake at scale. Cover RBAC, data masking, cost monitoring, Time Travel, and secure data sharing.

Data Management

3 hours

Course

Dimensionality Reduction in Python

  • IntermediateSkill Level
  • 4.8+
  • 995 reviews

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

Machine Learning

4 hours

Course

Data Storytelling Case Study: Green Businesses

  • BasicSkill Level
  • 4.8+
  • 959 reviews

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Data Literacy

1 hour

Course

Optimizing Code in Java

  • AdvancedSkill Level
  • 4.8+
  • 323 reviews

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Software Development

3 hours

Course

Gemini in Google Slides

  • BasicSkill Level
  • 4.8+
  • 461 reviews

Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

Artificial Intelligence

30 min

Course

Data Fluency

  • BasicSkill Level
  • 4.8+
  • 379 reviews

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Data Literacy

2 hours

Course

Improving Query Performance in SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 507 reviews

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Software Development

4 hours

Course

Auditing Expenses with Claude

  • IntermediateSkill Level
  • 4.8+
  • 47 reviews

Bored of pouring over expenses to figure out which ones violate policy? No longer! Use Claude Cowork to produce fast and clear expense violation reports.

Artificial Intelligence

15 min

Course

Gen AI: Unlock Foundational Concepts

  • BasicSkill Level
  • 4.8+
  • 268 reviews

You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.

Cloud

1 hour 30 min

Course

Math for Finance Professionals

  • BasicSkill Level
  • 4.8+
  • 342 reviews

Learn essential finance math skills with practical Excel exercises and real-world examples.

Applied Finance

3 hours

Course

Data Pipeline Automation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 238 reviews

Load, automate, and optimize data pipelines in Snowflake using COPY INTO, Snowpipe, streams, tasks, dynamic tables, and query performance tools.

Data Engineering

3 hours

Course

Dealing With Missing Data in R

  • BasicSkill Level
  • 4.8+
  • 185 reviews

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Data Preparation

4 hours

Course

Introduction to Databases in Python

  • IntermediateSkill Level
  • 4.8+
  • 329 reviews

In this course, youll learn the basics of relational databases and how to interact with them.

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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