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298 Courses

Course

Exploratory Data Analysis in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,885 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

Introduction to SQL Server

  • BasicSkill Level
  • 4.8+
  • 409 reviews

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Software Development

4 hours

Course

Case Study: HR Analytics in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,976 reviews

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

Data Manipulation

3 hours

Course

Data Governance Concepts

  • BasicSkill Level
  • 4.8+
  • 2,009 reviews

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Data Management

2 hours

Course

Cleaning Data with Generative AI

  • BasicSkill Level
  • 4.7+
  • 1,550 reviews

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Artificial Intelligence

1 hour

Course

Microsoft Copilot in Excel

  • BasicSkill Level
  • 4.7+
  • 452 reviews

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

Artificial Intelligence

3 hours

Course

Artificial Intelligence (AI) Strategy

  • BasicSkill Level
  • 4.8+
  • 2,116 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

Introduction to Data Security

  • BasicSkill Level
  • 4.8+
  • 1,865 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 Polars

  • BasicSkill Level
  • 4.8+
  • 512 reviews

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Data Manipulation

3 hours

Course

Data Manipulation with dplyr

  • BasicSkill Level
  • 4.8+
  • 722 reviews

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

Data Manipulation

4 hours

Course

Introduction to NumPy

  • BasicSkill Level
  • 4.8+
  • 1,498 reviews

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Data Manipulation

4 hours

Course

AI Security and Risk Management

  • BasicSkill Level
  • 4.8+
  • 1,334 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

Data Connections in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,621 reviews

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

Data Manipulation

2 hours

Course

Artificial Intelligence Governance

  • BasicSkill Level
  • 4.8+
  • 878 reviews

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

Artificial Intelligence

2 hours

Course

Dashboard Design Concepts

  • BasicSkill Level
  • 4.8+
  • 1,121 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 Data Quality

  • BasicSkill Level
  • 4.7+
  • 3,396 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

Analyzing Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,722 reviews

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

Data Visualization

8 hours

Course

Intermediate Java

  • BasicSkill Level
  • 4.8+
  • 1,193 reviews

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

Software Development

4 hours

Course

Understanding Excel

  • BasicSkill Level
  • 4.8+
  • 1,367 reviews

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Data Manipulation

1 hour

Course

Introduction to Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,928 reviews

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

Data Preparation

2 hours

Course

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 623 reviews

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

Data Manipulation

3 hours

Course

Introduction to Microsoft Fabric

  • BasicSkill Level
  • 4.7+
  • 1,037 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+
  • 273 reviews

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

Artificial Intelligence

2 hours

Course

Introduction to Power Automate

  • BasicSkill Level
  • 4.7+
  • 69 reviews

Learn Power Automate hands-on: build cloud flows with Microsoft 365 connectors, dynamic content, expressions, approvals, and Copilot AI assistance.

Artificial Intelligence

3 hours

Course

Data Analysis in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,223 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

Introduction to GPTs

  • BasicSkill Level
  • 4.7+
  • 824 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

Monetizing Artificial Intelligence

  • BasicSkill Level
  • 4.7+
  • 992 reviews

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

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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