Course
Fraud Detection in Python
- IntermediateSkill Level
- 4.7+
- 193 reviews
Learn how to detect fraud using Python.
Machine Learning
Data, AI, and Cloud Courses
Master skills that matterFollow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
- Learn at your own pace
- Get hands-on experience
- Complete bite-sized chapters
Create Your Free Account
Continue with GoogleShow more optionsor
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
181 Courses
Course
Quantitative Risk Management in Python
- AdvancedSkill Level
- 4.8+
- 218 reviews
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Applied Finance
Course
Monitoring Machine Learning in Python
- AdvancedSkill Level
- 4.8+
- 362 reviews
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Machine Learning
Course
Introduction to Financial Concepts in Python
- BasicSkill Level
- 4.8+
- 434 reviews
Using Python and NumPy, learn the most fundamental financial concepts.
Applied Finance
Course
Graph RAG with LangChain and Neo4j
- AdvancedSkill Level
- 4.7+
- 106 reviews
Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.
Artificial Intelligence
Course
Foundations of Probability in Python
- IntermediateSkill Level
- 4.8+
- 202 reviews
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Probability & Statistics
Course
Working with Geospatial Data in Python
- IntermediateSkill Level
- 4.8+
- 277 reviews
This course will show you how to integrate spatial data into your Python Data Science workflow.
Data Manipulation
Course
Intermediate Regression with statsmodels in Python
- IntermediateSkill Level
- 4.8+
- 571 reviews
Learn to perform linear and logistic regression with multiple explanatory variables.
Probability & Statistics
Course
Introduction to TensorFlow in Python
- IntermediateSkill Level
- 4.8+
- 53 reviews
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
Machine Learning
Course
Introduction to Data Quality with Great Expectations
- IntermediateSkill Level
- 4.7+
- 385 reviews
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Data Engineering
Course
Spoken Language Processing in Python
- AdvancedSkill Level
- 4.8+
- 270 reviews
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Data Manipulation
Course
Data Transformation with Polars
- IntermediateSkill Level
- 4.9+
- 65 reviews
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.
Data Manipulation
Course
Image Modeling with Keras
- AdvancedSkill Level
- 4.8+
- 89 reviews
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Artificial Intelligence
Course
Introduction to Optimization in Python
- IntermediateSkill Level
- 4.7+
- 189 reviews
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Software Development
Course
Introduction to MongoDB in Python
- IntermediateSkill Level
- 4.7+
- 371 reviews
Learn to manipulate and analyze flexibly structured data with MongoDB.
Data Engineering
Course
Introduction to Predictive Analytics in Python
- BasicSkill Level
- 4.8+
- 235 reviews
In this course youll learn to use and present logistic regression models for making predictions.
Machine Learning
Course
Machine Learning for Finance in Python
- IntermediateSkill Level
- 4.8+
- 208 reviews
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Machine Learning
Course
Improving Your Data Visualizations in Python
- IntermediateSkill Level
- 4.7+
- 304 reviews
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Data Visualization
Course
Introduction to Network Analysis in Python
- IntermediateSkill Level
- 4.7+
- 217 reviews
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Probability & Statistics
Course
ARIMA Models in Python
- AdvancedSkill Level
- 4.8+
- 404 reviews
Learn about ARIMA models in Python and become an expert in time series analysis.
Machine Learning
Course
Introduction to Portfolio Analysis in Python
- AdvancedSkill Level
- 4.8+
- 341 reviews
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
Applied Finance
Course
Supply Chain Analytics in Python
- IntermediateSkill Level
- 4.8+
- 92 reviews
Leverage the power of Python and PuLP to optimize supply chains.
Exploratory Data Analysis
Course
Winning a Kaggle Competition in Python
- AdvancedSkill Level
- 4.8+
- 447 reviews
Learn how to approach and win competitions on Kaggle.
Machine Learning
Course
Bayesian Data Analysis in Python
- IntermediateSkill Level
- 4.7+
- 257 reviews
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Probability & Statistics
Course
Market Basket Analysis in Python
- IntermediateSkill Level
- 4.8+
- 264 reviews
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Machine Learning
Course
Ensemble Methods in Python
- AdvancedSkill Level
- 4.8+
- 407 reviews
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Machine Learning
Course
Visualizing Geospatial Data in Python
- IntermediateSkill Level
- 4.7+
- 341 reviews
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Data Visualization
Course
Case Study: Building Software in Python
- AdvancedSkill Level
- 4.7+
- 294 reviews
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
Software Development
Course
Monte Carlo Simulations in Python
- IntermediateSkill Level
- 4.7+
- 162 reviews
Learn to design and run your own Monte Carlo simulations using Python!
Probability & Statistics
Course
Anomaly Detection in Python
- IntermediateSkill Level
- 4.8+
- 177 reviews
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
Probability & Statistics
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.