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179 Courses

Course

Introduction to Object-Oriented Programming in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,881 reviews

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Software Development

3 hours

Course

Introduction to Polars

  • BasicSkill Level
  • 4.8+
  • 578 reviews

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Data Manipulation

3 hours

Course

Designing Agentic Systems with LangChain

  • IntermediateSkill Level
  • 4.8+
  • 2,398 reviews

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

Artificial Intelligence

3 hours

Course

Introduction to LLMs in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,964 reviews

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

Artificial Intelligence

3 hours

Course

ETL and ELT in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,852 reviews

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

Data Engineering

4 hours

Course

Introduction to Data Engineering

  • IntermediateSkill Level
  • 4.7+
  • 922 reviews

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

Hypothesis Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,844 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

Sampling in Python

  • IntermediateSkill Level
  • 4.7+
  • 4,084 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

Introduction to Regression with statsmodels in Python

  • IntermediateSkill Level
  • 4.8+
  • 3,174 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

Building AI Applications with Pinecone

  • IntermediateSkill Level
  • 4.8+
  • 2,317 reviews

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

Artificial Intelligence

3 hours

Course

Multi-Agent Systems with LangGraph

  • AdvancedSkill Level
  • 4.8+
  • 829 reviews

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

Artificial Intelligence

2 hours 45 min

Course

Natural Language Processing (NLP) in Python

  • IntermediateSkill Level
  • 4.8+
  • 933 reviews

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

Artificial Intelligence

4 hours

Course

Intermediate Python for Finance

  • IntermediateSkill Level
  • 4.7+
  • 1,058 reviews

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

Introduction to Testing in Python

  • AdvancedSkill Level
  • 4.7+
  • 1,479 reviews

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Software Development

4 hours

Course

Streamlined Data Ingestion with pandas

  • IntermediateSkill Level
  • 4.8+
  • 2,092 reviews

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Data Preparation

4 hours

Course

Object-Oriented Programming in Python

  • AdvancedSkill Level
  • 4.7+
  • 820 reviews

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

Software Development

4 hours

Course

Experimental Design in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,998 reviews

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Probability & Statistics

4 hours

Course

Linear Classifiers in Python

  • IntermediateSkill Level
  • 4.8+
  • 355 reviews

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Machine Learning

4 hours

Course

Web Scraping in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,110 reviews

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

Data Preparation

4 hours

Course

Explainable AI in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,217 reviews

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Artificial Intelligence

4 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 885 reviews

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Data Manipulation

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 150 reviews

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

Introduction to Deep Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 233 reviews

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Artificial Intelligence

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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