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670 Courses

Course

Financial Modeling in Excel

  • IntermediateSkill Level
  • 4.7+
  • 2.1K

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

Applied Finance

3 hours

Course

Sampling in Python

  • IntermediateSkill Level
  • 4.6+
  • 2.1K

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

Preprocessing for Machine Learning in Python

  • IntermediateSkill Level
  • 4.6+
  • 2.1K

Learn how to clean and prepare your data for machine learning!

Machine Learning

4 hours

Course

Exploratory Data Analysis in R

  • IntermediateSkill Level
  • 4.5+
  • 2.1K

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

Exploratory Data Analysis

4 hours

Course

Object-Oriented Programming in Python

  • AdvancedSkill Level
  • 4.5+
  • 2K

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

Software Development

4 hours

Course

Intermediate GitHub Concepts

  • IntermediateSkill Level
  • 4.5+
  • 2K

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

Software Development

3 hours

Course

Introduction to Data Modeling in Snowflake

  • IntermediateSkill Level
  • 4.7+
  • 2K

Step right into the dynamic world of data modeling with Snowflake!

Data Engineering

4 hours

Course

Big Data Fundamentals with PySpark

  • AdvancedSkill Level
  • 4.7+
  • 1.9K

Learn the fundamentals of working with big data with PySpark.

Data Engineering

4 hours

Course

Introduction to Data Quality

  • BasicSkill Level
  • 4.5+
  • 1.9K

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

Software Development with GitHub Copilot

  • IntermediateSkill Level
  • 4.7+
  • 1.9K

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

Artificial Intelligence

2 hours

Course

Joining Data with dplyr

  • BasicSkill Level
  • 4.4+
  • 1.9K

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Data Manipulation

4 hours

Course

Introduction to Databricks SQL

  • IntermediateSkill Level
  • 4.3+
  • 1.9K

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

Data Engineering

3 hours

Course

Introduction to Data Engineering

  • IntermediateSkill Level
  • 4.5+
  • 1.8K

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

AI-Assisted Coding for Developers

  • IntermediateSkill Level
  • 4.7+
  • 1.8K

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Artificial Intelligence

2 hours

Course

Data Analysis in Google Sheets

  • BasicSkill Level
  • 4.5+
  • 1.8K

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

Intermediate Python for Finance

  • IntermediateSkill Level
  • 4.5+
  • 1.8K

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Applied Finance

4 hours

Course

Manipulating Time Series Data in Python

  • IntermediateSkill Level
  • 4.6+
  • 1.8K

In this course youll learn the basics of working with time series data.

Data Manipulation

4 hours

Course

Image Processing in Python

  • IntermediateSkill Level
  • 4.6+
  • 1.7K

Learn to process, transform, and manipulate images at your will.

Machine Learning

4 hours

Course

Designing Agentic Systems with LangChain

  • IntermediateSkill Level
  • 4.6+
  • 1.7K

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

Artificial Intelligence

3 hours

Course

Web Scraping in Python

  • IntermediateSkill Level
  • 4.6+
  • 1.7K

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

Data Preparation

4 hours

Course

Understanding Modern Data Architecture

  • IntermediateSkill Level
  • 4.6+
  • 1.7K

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

Data Engineering

2 hours

Course

Software Development with Cursor

  • IntermediateSkill Level
  • 4.6+
  • 1.7K

Build production-ready code with Cursor. Learn AI prompts, refactoring, testing, and advanced workflows.

Artificial Intelligence

2 hours

Course

Hypothesis Testing in R

  • IntermediateSkill Level
  • 4.4+
  • 1.7K

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

Probability & Statistics

4 hours

Course

Machine Learning for Business

  • BasicSkill Level
  • 4.6+
  • 1.7K

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

Machine Learning

2 hours

Course

Intermediate Java

  • BasicSkill Level
  • 4.7+
  • 1.7K

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

Software Development

4 hours

Course

Power Pivot in Excel

  • BasicSkill Level
  • 4.7+
  • 1.7K

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

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.6+
  • 1.7K

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 Data Security

  • BasicSkill Level
  • 4.6+
  • 1.7K

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

Data Management

2 hours

Course

Advanced Git

  • AdvancedSkill Level
  • 4.6+
  • 1.7K

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

Software Development

3 hours

Course

Understanding Excel

  • BasicSkill Level
  • 4.6+
  • 1.6K

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

Data Manipulation

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.