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200 Courses

Course

Introduction to Python

  • BasicSkill Level
  • 4.8+
  • 8,507 reviews

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Software Development

4 hours

Course

Intermediate Python

  • BasicSkill Level
  • 4.8+
  • 4,620 reviews

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Software Development

4 hours

Course

Introduction to Statistics in Python

  • IntermediateSkill Level
  • 4.7+
  • 7,718 reviews

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Probability & Statistics

4 hours

Course

Intermediate Python for Developers

  • BasicSkill Level
  • 4.8+
  • 7,332 reviews

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Software Development

2 hours

Course

Exploratory Data Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 6,748 reviews

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Exploratory Data Analysis

4 hours

Course

Introduction to Importing Data in Python

  • BasicSkill Level
  • 4.8+
  • 1,346 reviews

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Data Preparation

3 hours

Course

Unsupervised Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,063 reviews

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Machine Learning

4 hours

Course

Introduction to Functions in Python

  • BasicSkill Level
  • 4.8+
  • 1,217 reviews

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Software Development

3 hours

Course

Python Toolbox

  • BasicSkill Level
  • 4.8+
  • 1,192 reviews

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Software Development

4 hours

Course

Cleaning Data in Python

  • IntermediateSkill Level
  • 4.7+
  • 4,604 reviews

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Data Preparation

4 hours

Course

Introduction to APIs in Python

  • IntermediateSkill Level
  • 4.8+
  • 3,633 reviews

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Software Development

2 hours

Course

Introduction to Data Science in Python

  • BasicSkill Level
  • 4.8+
  • 456 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

Data Structures and Algorithms in Python

  • AdvancedSkill Level
  • 4.7+
  • 1,046 reviews

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Software Development

4 hours

Course

Introduction to Python for Finance

  • BasicSkill Level
  • 4.7+
  • 427 reviews

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

Applied Finance

4 hours

Course

Software Engineering Principles in Python

  • BasicSkill Level
  • 4.7+
  • 637 reviews

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Software Development

4 hours

Course

ETL and ELT in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,400 reviews

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

Data Engineering

4 hours

Course

Writing Efficient Python Code

  • IntermediateSkill Level
  • 4.8+
  • 2,283 reviews

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Software Development

4 hours

Course

Introduction to LLMs in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,612 reviews

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

Artificial Intelligence

3 hours

Course

Introduction to Regression with statsmodels in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,728 reviews

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Probability & Statistics

4 hours

Course

Writing Functions in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,569 reviews

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

Software Development

4 hours

Course

Hypothesis Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,309 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

Natural Language Processing (NLP) in Python

  • IntermediateSkill Level
  • 4.8+
  • 684 reviews

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

Artificial Intelligence

4 hours

Course

Sampling in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,503 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

Data Types in Python

  • IntermediateSkill Level
  • 4.8+
  • 480 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

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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