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711 Courses

Course

Intermediate ChatGPT

  • BasicSkill Level
  • 4.8+
  • 3,668 reviews

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

Artificial Intelligence

1 hour

Course

Introduction to Docker

  • IntermediateSkill Level
  • 4.7+
  • 2,533 reviews

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Software Development

4 hours

Course

Data Communication Concepts

  • BasicSkill Level
  • 4.7+
  • 5,154 reviews

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

Data Literacy

3 hours

Course

Introduction to Regression in R

  • IntermediateSkill Level
  • 4.8+
  • 1,401 reviews

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Probability & Statistics

4 hours

Course

Introduction to Data Science in Python

  • BasicSkill Level
  • 4.8+
  • 462 reviews

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Software Development

4 hours

Course

Introduction to Snowflake SQL

  • IntermediateSkill Level
  • 4.8+
  • 5,093 reviews

This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.

Data Engineering

2 hours

Course

Data Warehousing Concepts

  • IntermediateSkill Level
  • 4.8+
  • 4,559 reviews

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Data Engineering

4 hours

Course

Introduction to Python for Finance

  • BasicSkill Level
  • 4.8+
  • 437 reviews

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

Applied Finance

4 hours

Course

Data Manipulation with dplyr

  • BasicSkill Level
  • 4.8+
  • 681 reviews

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Data Manipulation

4 hours

Course

Introduction to dbt

  • IntermediateSkill Level
  • 4.7+
  • 2,293 reviews

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Data Engineering

4 hours

Course

Introduction to Data Privacy

  • BasicSkill Level
  • 4.8+
  • 1,899 reviews

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Data Literacy

2 hours

Course

Introduction to Shell

  • BasicSkill Level
  • 4.8+
  • 3,337 reviews

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Software Development

4 hours

Course

Case Study: Analyzing Customer Churn in Excel

  • BasicSkill Level
  • 4.8+
  • 2,693 reviews

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

Reporting

1 hour

Course

Intermediate DAX in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,773 reviews

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Data Manipulation

3 hours

Course

Software Engineering Principles in Python

  • BasicSkill Level
  • 4.7+
  • 650 reviews

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Software Development

4 hours

Course

Software Development with Claude Code

  • IntermediateSkill Level
  • 4.8+
  • 149 reviews

Claude Code brings AI assistance to your terminal. Learn the workflows that turn it into a reliable tool for real software development.

Software Development

4 hours

Course

Exploratory Data Analysis in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,524 reviews

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Exploratory Data Analysis

3 hours

Course

Case Study: HR Analytics in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,596 reviews

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Data Manipulation

3 hours

Course

Introduction to Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,822 reviews

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Data Preparation

2 hours

Course

Understanding Microsoft Azure

  • BasicSkill Level
  • 4.8+
  • 2,303 reviews

Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.

Cloud

3 hours

Course

ETL and ELT in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,416 reviews

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Data Engineering

4 hours

Course

MLOps Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,499 reviews

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Machine Learning

2 hours

Course

Writing Efficient Python Code

  • IntermediateSkill Level
  • 4.8+
  • 2,307 reviews

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Software Development

4 hours

Course

LLMOps Concepts

  • BasicSkill Level
  • 4.8+
  • 2,527 reviews

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Artificial Intelligence

1 hour

Course

Reports in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 2,774 reviews

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Data Visualization

3 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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