Course
Introduction to Python
- BasicSkill Level
- 4.8+
- 122.4K
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
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182 Courses
Course
Intermediate Python
- BasicSkill Level
- 4.8+
- 25.2K
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Software Development
Course
Introduction to Python for Developers
- BasicSkill Level
- 4.9+
- 17.1K
Master the fundamentals of programming in Python. No prior knowledge required!
Software Development
Course
Supervised Learning with scikit-learn
- IntermediateSkill Level
- 4.8+
- 16.7K
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Machine Learning
Course
Data Manipulation with pandas
- BasicSkill Level
- 4.8+
- 13.5K
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Data Manipulation
Course
Introduction to Statistics in Python
- IntermediateSkill Level
- 4.8+
- 7.6K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Probability & Statistics
Course
Joining Data with pandas
- IntermediateSkill Level
- 4.8+
- 7.3K
Learn to combine data from multiple tables by joining data together using pandas.
Data Manipulation
Course
Intermediate Python for Developers
- BasicSkill Level
- 4.8+
- 6.6K
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Software Development
Course
Exploratory Data Analysis in Python
- IntermediateSkill Level
- 4.8+
- 6K
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Exploratory Data Analysis
Course
Introduction to Data Visualization with Seaborn
- BasicSkill Level
- 4.9+
- 5.5K
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Data Visualization
Course
Introduction to Data Visualization with Matplotlib
- BasicSkill Level
- 4.8+
- 5.3K
Learn how to create, customize, and share data visualizations using Matplotlib.
Data Visualization
Course
Introduction to Importing Data in Python
- BasicSkill Level
- 4.8+
- 4.7K
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Data Preparation
Course
Working with Hugging Face
- BasicSkill Level
- 4.8+
- 4.6K
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Artificial Intelligence
Course
Unsupervised Learning in Python
- IntermediateSkill Level
- 4.8+
- 4.6K
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Machine Learning
Course
Introduction to Functions in Python
- BasicSkill Level
- 4.8+
- 4.6K
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Software Development
Course
Developing LLM Applications with LangChain
- IntermediateSkill Level
- 4.8+
- 4.3K
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Artificial Intelligence
Course
Python Toolbox
- BasicSkill Level
- 4.8+
- 4.1K
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Software Development
Course
Cleaning Data in Python
- IntermediateSkill Level
- 4.8+
- 4K
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
Data Preparation
Course
Intermediate Importing Data in Python
- BasicSkill Level
- 4.8+
- 3.9K
Improve your Python data importing skills and learn to work with web and API data.
Data Preparation
Course
Introduction to APIs in Python
- IntermediateSkill Level
- 4.8+
- 3.9K
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
Course
Introduction to Data Science in Python
- BasicSkill Level
- 4.9+
- 3.6K
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.
Software Development
Course
Data Structures and Algorithms in Python
- AdvancedSkill Level
- 4.8+
- 3.4K
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Software Development
Course
Introduction to Python for Finance
- BasicSkill Level
- 4.8+
- 3.3K
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
Applied Finance
Course
Introduction to Object-Oriented Programming in Python
- IntermediateSkill Level
- 4.8+
- 3.2K
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
Software Development
Course
Software Engineering Principles in Python
- BasicSkill Level
- 4.7+
- 2.7K
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Software Development
Course
ETL and ELT in Python
- IntermediateSkill Level
- 4.8+
- 2.7K
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Data Engineering
Course
Writing Efficient Python Code
- IntermediateSkill Level
- 4.8+
- 2.7K
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Software Development
Course
Introduction to NumPy
- BasicSkill Level
- 4.8+
- 2.6K
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Data Manipulation
Course
Machine Learning with Tree-Based Models in Python
- IntermediateSkill Level
- 4.9+
- 2.6K
In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Machine Learning
Course
Introduction to LLMs in Python
- IntermediateSkill Level
- 4.8+
- 2.4K
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Artificial Intelligence
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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