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774 Courses

Course

Introduction to Data Security

  • BasicSkill Level
  • 4.8+
  • 1,939 reviews

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

Data Management

2 hours

Course

Introduction to Object-Oriented Programming in Java

  • IntermediateSkill Level
  • 4.8+
  • 1,252 reviews

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Software Development

4 hours

Course

Natural Language Processing (NLP) in Python

  • IntermediateSkill Level
  • 4.8+
  • 851 reviews

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Artificial Intelligence

4 hours

Course

AI for Data Analysts

  • IntermediateSkill Level
  • 4.7+
  • 98 reviews

Use AI across every stage of your data analysis. Write sharper prompts, audit data quality, find insights worth chasing, and ship work you can trust.

Artificial Intelligence

4 hours

Course

Understanding Modern Data Architecture

  • IntermediateSkill Level
  • 4.7+
  • 1,234 reviews

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Data Engineering

2 hours

Course

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 656 reviews

Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Data Manipulation

3 hours

Course

Working with Llama 3

  • IntermediateSkill Level
  • 4.8+
  • 2,394 reviews

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Artificial Intelligence

2 hours

Course

Introduction to GPTs

  • BasicSkill Level
  • 4.7+
  • 907 reviews

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

Artificial Intelligence

1 hour

Course

Advanced Git

  • AdvancedSkill Level
  • 4.7+
  • 1,190 reviews

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

Software Development

3 hours

Course

Analyzing Business Data in SQL

  • IntermediateSkill Level
  • 4.8+
  • 261 reviews

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Reporting

4 hours

Course

Understanding the EU AI Act

  • BasicSkill Level
  • 4.7+
  • 1,336 reviews

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Artificial Intelligence

1 hour

Course

Gen AI: Beyond the Chatbot

  • BasicSkill Level
  • 4.8+
  • 341 reviews

This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.

Cloud

1 hour 30 min

Course

Introduction to Testing in Python

  • AdvancedSkill Level
  • 4.7+
  • 1,424 reviews

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Software Development

4 hours

Course

Responsible AI Data Management

  • IntermediateSkill Level
  • 4.7+
  • 1,190 reviews

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Artificial Intelligence

1 hour

Course

Monetizing Artificial Intelligence

  • BasicSkill Level
  • 4.7+
  • 1,037 reviews

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Artificial Intelligence

1 hour

Course

Introduction to Regression in R

  • IntermediateSkill Level
  • 4.8+
  • 1,527 reviews

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

Probability & Statistics

4 hours

Course

Data Analysis in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,262 reviews

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Data Manipulation

3 hours

Course

Power Pivot in Excel

  • BasicSkill Level
  • 4.8+
  • 1,565 reviews

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Data Manipulation

3 hours

Course

Introduction to Importing Data in R

  • BasicSkill Level
  • 4.7+
  • 376 reviews

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Data Preparation

3 hours

Course

Intermediate Power Query in Excel

  • IntermediateSkill Level
  • 4.7+
  • 1,181 reviews

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Data Preparation

4 hours

Course

Object-Oriented Programming in Python

  • AdvancedSkill Level
  • 4.7+
  • 798 reviews

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Software Development

4 hours

Course

Financial Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 546 reviews

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Applied Finance

6 hours

Course

Introduction to Databricks Lakehouse

  • BasicSkill Level
  • 4.7+
  • 266 reviews

Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.

Data Engineering

3 hours

Course

Creating Dashboards in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,527 reviews

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Data Visualization

3 hours

Course

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 587 reviews

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Artificial Intelligence

1 hour

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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