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779 Courses

Course

Introduction to Data Science in Python

  • BasicSkill Level
  • 4.8+
  • 511 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

AI for Finance

  • BasicSkill Level
  • 4.8+
  • 451 reviews

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.

Artificial Intelligence

3 hours

Course

Case Study: Analyzing Customer Churn in Excel

  • BasicSkill Level
  • 4.8+
  • 3,087 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

Vibe Coding with Replit

  • BasicSkill Level
  • 4.8+
  • 889 reviews

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

Artificial Intelligence

2 hours

Course

Exploratory Data Analysis in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,973 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 Data Privacy

  • BasicSkill Level
  • 4.8+
  • 2,203 reviews

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Data Literacy

2 hours

Course

Writing Functions in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,901 reviews

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Software Development

4 hours

Course

ETL and ELT in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,721 reviews

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Data Engineering

4 hours

Course

Data Manipulation with dplyr

  • BasicSkill Level
  • 4.8+
  • 737 reviews

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

Data Manipulation

4 hours

Course

Artificial Intelligence Governance

  • BasicSkill Level
  • 4.8+
  • 1,058 reviews

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

Artificial Intelligence

2 hours

Course

Reports in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 3,186 reviews

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Data Visualization

3 hours

Course

Microsoft Copilot in Excel

  • BasicSkill Level
  • 4.7+
  • 529 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

Cleaning Data with Generative AI

  • BasicSkill Level
  • 4.7+
  • 1,606 reviews

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

Artificial Intelligence

1 hour

Course

Advanced Excel Functions

  • IntermediateSkill Level
  • 4.8+
  • 1,255 reviews

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Data Manipulation

2 hours

Course

Case Study: HR Analytics in Power BI

  • BasicSkill Level
  • 4.8+
  • 4,063 reviews

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

Data Manipulation

3 hours

Course

Introduction to FastAPI

  • IntermediateSkill Level
  • 4.7+
  • 1,658 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

Data Governance Concepts

  • BasicSkill Level
  • 4.8+
  • 2,070 reviews

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

Data Management

2 hours

Course

Designing Agentic Systems with LangChain

  • IntermediateSkill Level
  • 4.8+
  • 2,176 reviews

Get to grips with the foundational components of LangChain agents and build custom chat agents.

Artificial Intelligence

3 hours

Course

Introduction to Polars

  • BasicSkill Level
  • 4.8+
  • 534 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 Types in Python

  • IntermediateSkill Level
  • 4.8+
  • 540 reviews

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Software Development

4 hours

Course

Introduction to Databricks SQL

  • IntermediateSkill Level
  • 4.7+
  • 819 reviews

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

Data Engineering

3 hours

Course

Large Language Models for Business

  • BasicSkill Level
  • 4.8+
  • 2,451 reviews

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

Artificial Intelligence

1 hour

Course

Building AI Applications with Pinecone

  • IntermediateSkill Level
  • 4.8+
  • 2,147 reviews

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

Artificial Intelligence

3 hours

Course

Introduction to NumPy

  • BasicSkill Level
  • 4.8+
  • 1,533 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

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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