Data, AI, and Cloud Courses

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670 Courses

Course

Feature Engineering for Machine Learning in Python

IntermediateSkill Level
4.6+
1.1K

Create new features to improve the performance of your Machine Learning models.

Machine Learning

Course

Introduction to GPTs

BasicSkill Level
4.6+
1.1K

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

Artificial Intelligence

Course

Introduction to Apache Kafka

IntermediateSkill Level
4.7+
1.1K

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Data Engineering

Course

Introduction to Generative AI in Snowflake

IntermediateSkill Level
4.6+
1.1K

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

Artificial Intelligence

Course

Intermediate SQL Server

IntermediateSkill Level
4.7+
1.1K

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Software Development

Course

Analyzing Marketing Campaigns with pandas

BasicSkill Level
4.5+
1.1K

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Exploratory Data Analysis

Course

AI Security and Risk Management

BasicSkill Level
4.5+
1.1K

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Artificial Intelligence

Course

Sampling in R

IntermediateSkill Level
4.4+
1.1K

Master sampling to get more accurate statistics with less data.

Probability & Statistics

Course

Introduction to NoSQL

BasicSkill Level
4.7+
1K

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Data Engineering

Course

Introduction to Deep Learning with Keras

IntermediateSkill Level
4.6+
1K

Learn to start developing deep learning models with Keras.

Artificial Intelligence

Course

Connecting Data in Tableau

BasicSkill Level
4.7+
992

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Data Preparation

Course

Vibe Coding with Replit

BasicSkill Level
4.7+
990

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

Artificial Intelligence

Course

Introduction to Statistics in Google Sheets

BasicSkill Level
4.4+
982

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Probability & Statistics

Course

Model Validation in Python

IntermediateSkill Level
4.6+
965

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Machine Learning

Course

Reporting in SQL

IntermediateSkill Level
4.7+
955

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Reporting

Course

Deep Learning for Text with PyTorch

AdvancedSkill Level
4.4+
934

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Artificial Intelligence

Course

Microsoft Copilot in Excel

BasicSkill Level
4.4+
929

Stop fighting Excel and start talking to it! Use Copilot in Excel to clean data, build charts, and get answers faster.

Artificial Intelligence

Course

Artificial Intelligence Governance

BasicSkill Level
4.6+
924

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

Artificial Intelligence

Course

Data Storytelling Case Study: Green Businesses

BasicSkill Level
4.6+
920

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

Data Literacy

Course

Understanding Microsoft Azure Management and Governance

BasicSkill Level
4.6+
913

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

Cloud

Course

Explainable Artificial Intelligence (XAI) Concepts

BasicSkill Level
4.5+
911

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

Artificial Intelligence

Course

A/B Testing in Python

IntermediateSkill Level
4.4+
909

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

Course

Marketing Analytics for Business

BasicSkill Level
4.7+
903

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

Leadership

Course

Machine Learning for Time Series Data in Python

AdvancedSkill Level
4.6+
900

This course focuses on feature engineering and machine learning for time series data.

Machine Learning

Course

MLOps Deployment and Life Cycling

AdvancedSkill Level
4.6+
884

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Machine Learning

Course

Data Management in Databricks

BasicSkill Level
4.5+
882

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Data Management

Course

Machine Learning with PySpark

AdvancedSkill Level
4.7+
875

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Machine Learning

Course

Understanding the EU AI Act

BasicSkill Level
4.5+
872

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

Artificial Intelligence

Course

Intermediate Object-Oriented Programming in Python

AdvancedSkill Level
4.7+
862

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

Software Development

Course

End-to-End Machine Learning

IntermediateSkill Level
4.6+
860

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Machine Learning

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.