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775 Courses

Course

Introduction to Data Engineering

  • IntermediateSkill Level
  • 4.7+
  • 885 reviews

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Data Engineering

4 hours

Course

Building AI Applications with Pinecone

  • IntermediateSkill Level
  • 4.8+
  • 2,225 reviews

Discover how the Pinecone vector database is revolutionizing AI application development!

Artificial Intelligence

3 hours

Course

Analyzing Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,808 reviews

Take your Tableau skills up a notch with advanced analytics and visualizations.

Data Visualization

8 hours

Course

Introduction to Databricks SQL

  • IntermediateSkill Level
  • 4.7+
  • 855 reviews

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Data Engineering

3 hours

Course

Intermediate Deep Learning with PyTorch

  • IntermediateSkill Level
  • 4.8+
  • 2,293 reviews

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Artificial Intelligence

4 hours

Course

Introduction to FastAPI

  • IntermediateSkill Level
  • 4.7+
  • 1,693 reviews

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Software Development

4 hours

Course

Financial Modeling in Excel

  • IntermediateSkill Level
  • 4.8+
  • 1,108 reviews

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Applied Finance

3 hours

Course

Artificial Intelligence (AI) Strategy

  • BasicSkill Level
  • 4.8+
  • 2,213 reviews

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Artificial Intelligence

3 hours

Course

Data Connections in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,783 reviews

Discover the different ways you can enhance your Power BI data importing skills.

Data Manipulation

2 hours

Course

Introduction to Data Quality

  • BasicSkill Level
  • 4.7+
  • 3,500 reviews

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Data Management

2 hours

Course

Introduction to Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,980 reviews

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

Data Preparation

2 hours

Course

Hypothesis Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,737 reviews

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Probability & Statistics

4 hours

Course

Sampling in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,952 reviews

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Probability & Statistics

4 hours

Course

Trend Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,534 reviews

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Data Manipulation

3 hours

Course

Working with the OpenAI Responses API

  • IntermediateSkill Level
  • 4.8+
  • 440 reviews

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

Artificial Intelligence

3 hours

Course

Multi-Agent Systems with LangGraph

  • AdvancedSkill Level
  • 4.8+
  • 739 reviews

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

Artificial Intelligence

2 hours 45 min

Course

Intermediate Java

  • BasicSkill Level
  • 4.8+
  • 1,324 reviews

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

Software Development

4 hours

Course

Large Language Models for Business

  • BasicSkill Level
  • 4.8+
  • 2,486 reviews

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

Artificial Intelligence

1 hour

Course

Containerization and Virtualization Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,797 reviews

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Software Development

2 hours

Course

AI Security and Risk Management

  • BasicSkill Level
  • 4.8+
  • 1,448 reviews

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

Artificial Intelligence

2 hours

Course

Report Design in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 3,158 reviews

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Data Visualization

3 hours

Course

Introduction to Microsoft Fabric

  • BasicSkill Level
  • 4.7+
  • 1,133 reviews

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Other

4 hours

Course

Microsoft Copilot in PowerPoint

  • BasicSkill Level
  • 4.7+
  • 375 reviews

Build PowerPoint presentations with Microsoft Copilot. Turn documents into slides, generate visuals, and speaker notes.

Artificial Intelligence

2 hours

Course

Deploying and Maintaining Assets in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,413 reviews

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Data Manipulation

2 hours

Course

Dashboard Design Concepts

  • BasicSkill Level
  • 4.8+
  • 1,170 reviews

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Data Visualization

2 hours

Course

Introduction to Subagents

  • IntermediateSkill Level
  • 4.8+
  • 436 reviews

Learn how to use and create sub-agents in Claude Code to manage context, delegate tasks, and build workflows that keep your conversation clean and focused.

Artificial Intelligence

2 hours

Course

Introduction to Data Security

  • BasicSkill Level
  • 4.8+
  • 1,962 reviews

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

Data Management

2 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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