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711 Courses

Course

Financial Modeling in Excel

  • IntermediateSkill Level
  • 4.8+
  • 962 reviews

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

Applied Finance

3 hours

Course

Dashboard Design Concepts

  • BasicSkill Level
  • 4.7+
  • 1,002 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 Databricks SQL

  • IntermediateSkill Level
  • 4.7+
  • 616 reviews

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

Data Engineering

3 hours

Course

Creating Dashboards in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,373 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

Intermediate GitHub Concepts

  • IntermediateSkill Level
  • 4.7+
  • 1,916 reviews

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Software Development

3 hours

Course

Designing Agentic Systems with LangChain

  • IntermediateSkill Level
  • 4.8+
  • 1,815 reviews

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

Artificial Intelligence

3 hours

Course

Sampling in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,551 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

Natural Language Processing (NLP) in Python

  • IntermediateSkill Level
  • 4.8+
  • 697 reviews

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

Artificial Intelligence

4 hours

Course

Data Types in Python

  • IntermediateSkill Level
  • 4.8+
  • 489 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 Importing Data in R

  • BasicSkill Level
  • 4.7+
  • 348 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

Introduction to Kubernetes

  • IntermediateSkill Level
  • 4.8+
  • 1,439 reviews

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Software Development

3 hours

Course

Hypothesis Testing in R

  • IntermediateSkill Level
  • 4.7+
  • 925 reviews

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Probability & Statistics

4 hours

Course

Web Scraping in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,009 reviews

Learn to retrieve and parse information from the internet using the Python library scrapy.

Data Preparation

4 hours

Course

AI for Finance

  • BasicSkill Level
  • 4.8+
  • 235 reviews

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

Artificial Intelligence

3 hours

Course

Machine Learning for Business

  • BasicSkill Level
  • 4.8+
  • 1,624 reviews

Understand the fundamentals of Machine Learning and how its applied in the business world.

Machine Learning

2 hours

Course

Introduction to Data Quality

  • BasicSkill Level
  • 4.7+
  • 3,227 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

Vibe Coding with Replit

  • BasicSkill Level
  • 4.8+
  • 708 reviews

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

Artificial Intelligence

2 hours

Course

Object-Oriented Programming in Python

  • AdvancedSkill Level
  • 4.7+
  • 741 reviews

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

Software Development

4 hours

Course

Understanding Modern Data Architecture

  • IntermediateSkill Level
  • 4.7+
  • 1,083 reviews

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

Data Engineering

2 hours

Course

Microsoft Copilot in Excel

  • BasicSkill Level
  • 4.7+
  • 161 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

Power Pivot in Excel

  • BasicSkill Level
  • 4.8+
  • 1,386 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

Working with Llama 3

  • IntermediateSkill Level
  • 4.8+
  • 2,044 reviews

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

Artificial Intelligence

2 hours

Course

Introduction to Sigma

  • BasicSkill Level
  • 4.8+
  • 400 reviews

Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

Data Manipulation

2 hours

Course

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 492 reviews

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

Artificial Intelligence

1 hour

Course

Exploratory Data Analysis in R

  • IntermediateSkill Level
  • 4.7+
  • 1,185 reviews

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Exploratory Data Analysis

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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