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200 Courses

Course

Financial Forecasting in Python

  • IntermediateSkill Level
  • 4.8+
  • 87 reviews

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Applied Finance

4 hours

Course

Discrete Event Simulation in Python

  • AdvancedSkill Level
  • 4.7+
  • 64 reviews

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Probability & Statistics

4 hours

Course

Analyzing US Census Data in Python

  • IntermediateSkill Level
  • 4.8+
  • 60 reviews

Learn to use the Census API to work with demographic and socioeconomic data.

Exploratory Data Analysis

5 hours

Course

Python for MATLAB Users

  • BasicSkill Level
  • 4.8+
  • 27 reviews

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Software Development

4 hours

Course

Parallel Programming with Dask in Python

  • IntermediateSkill Level
  • 4.8+
  • 61 reviews

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Software Development

4 hours

Course

Working with DeepSeek in Python

  • BasicSkill Level
  • 4.7+
  • 96 reviews

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

Artificial Intelligence

3 hours

Course

Analyzing Survey Data in Python

  • IntermediateSkill Level
  • 4.6+
  • 49 reviews

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Probability & Statistics

4 hours

Course

Bond Valuation and Analysis in Python

  • BasicSkill Level
  • 4.8+
  • 66 reviews

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Applied Finance

4 hours

Course

Intermediate Network Analysis in Python

  • AdvancedSkill Level
  • 4.8+
  • 76 reviews

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Probability & Statistics

4 hours

Course

Predicting CTR with Machine Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 17 reviews

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

Machine Learning

4 hours

Course

Supervised Learning with scikit-learn

  • IntermediateSkill Level
  • 4.8+
  • 8,050 reviews

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

4 hours

Course

Data Manipulation with pandas

  • BasicSkill Level
  • 4.8+
  • 13,715 reviews

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Data Manipulation

AI Native

5 hours

Course

Joining Data with pandas

  • IntermediateSkill Level
  • 4.8+
  • 8,470 reviews

Learn to combine data from multiple tables by joining data together using pandas.

Data Manipulation

4 hours

Course

Working with Hugging Face

  • BasicSkill Level
  • 4.8+
  • 4,996 reviews

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

Artificial Intelligence

2 hours

Course

Developing LLM Applications with LangChain

  • IntermediateSkill Level
  • 4.8+
  • 3,898 reviews

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Artificial Intelligence

3 hours

Course

Introduction to NumPy

  • BasicSkill Level
  • 4.8+
  • 1,364 reviews

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Data Manipulation

4 hours

Course

Introduction to Model Context Protocol (MCP)

  • IntermediateSkill Level
  • 4.8+
  • 86 reviews

Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).

Artificial Intelligence

3 hours

Course

Designing Agentic Systems with LangChain

  • IntermediateSkill Level
  • 4.8+
  • 1,759 reviews

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

Artificial Intelligence

3 hours

Course

Multi-Agent Systems with LangGraph

  • AdvancedSkill Level
  • 4.8+
  • 436 reviews

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

Artificial Intelligence

2 hours 45 min

Course

Introduction to Data Engineering

  • IntermediateSkill Level
  • 4.7+
  • 767 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

Streamlined Data Ingestion with pandas

  • IntermediateSkill Level
  • 4.8+
  • 1,680 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

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 426 reviews

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

Artificial Intelligence

1 hour

Course

Extreme Gradient Boosting with XGBoost

  • IntermediateSkill Level
  • 4.8+
  • 244 reviews

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Machine Learning

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.

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.