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299 Courses

Course

Introduction to Importing Data in Python

  • BasicSkill Level
  • 4.8+
  • 1,390 reviews

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Data Preparation

3 hours

Course

Data Visualization in Excel

  • BasicSkill Level
  • 4.8+
  • 4,152 reviews

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Data Visualization

3 hours

Course

Forming Analytical Questions

  • BasicSkill Level
  • 4.8+
  • 3,747 reviews

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Data Literacy

1 hour

Course

Intermediate ChatGPT

  • BasicSkill Level
  • 4.8+
  • 3,945 reviews

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

Artificial Intelligence

1 hour

Course

AWS Concepts

  • BasicSkill Level
  • 4.7+
  • 3,629 reviews

Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.

Cloud

2 hours

Course

Python Toolbox

  • BasicSkill Level
  • 4.8+
  • 1,240 reviews

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Software Development

4 hours

Course

Introduction to Functions in Python

  • BasicSkill Level
  • 4.8+
  • 1,261 reviews

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Software Development

3 hours

Course

Introduction to Power Query in Excel

  • BasicSkill Level
  • 4.8+
  • 2,281 reviews

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Data Preparation

3 hours

Course

Introduction to Workflow Automation with n8n

  • BasicSkill Level
  • 4.7+
  • 627 reviews

Get started with n8n and learn to build automated workflows using triggers, logic, APIs, and AI—no coding required!

Artificial Intelligence

3 hours

Course

Responsible AI Practices

  • BasicSkill Level
  • 4.7+
  • 3,383 reviews

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Artificial Intelligence

2 hours

Course

Introduction to Alteryx

  • BasicSkill Level
  • 4.8+
  • 2,323 reviews

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Data Preparation

2 hours

Course

Data Communication Concepts

  • BasicSkill Level
  • 4.7+
  • 5,352 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

Implementing AI Solutions in Business

  • BasicSkill Level
  • 4.8+
  • 4,994 reviews

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Artificial Intelligence

2 hours

Course

Introduction to Data Privacy

  • BasicSkill Level
  • 4.8+
  • 2,008 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+
  • 3,484 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

Software Engineering Principles in Python

  • BasicSkill Level
  • 4.7+
  • 695 reviews

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

Software Development

4 hours

Course

DAX Functions in Power BI

  • BasicSkill Level
  • 4.8+
  • 4,486 reviews

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Data Manipulation

3 hours

Course

LLMOps Concepts

  • BasicSkill Level
  • 4.8+
  • 2,713 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

Introduction to Python for Finance

  • BasicSkill Level
  • 4.8+
  • 452 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+
  • 696 reviews

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

Data Manipulation

4 hours

Course

Case Study: Analyzing Customer Churn in Excel

  • BasicSkill Level
  • 4.8+
  • 2,805 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

Understanding Microsoft Azure

  • BasicSkill Level
  • 4.8+
  • 2,403 reviews

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

Cloud

3 hours

Course

Introduction to Data Science in Python

  • BasicSkill Level
  • 4.8+
  • 473 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

Large Language Models for Business

  • BasicSkill Level
  • 4.8+
  • 2,214 reviews

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Artificial Intelligence

1 hour

Course

Exploratory Data Analysis in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,659 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

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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