Course
Retrieval Augmented Generation (RAG) with LangChain
- IntermediateSkill Level
- 4.8+
- 2.3K
Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.
Artificial Intelligence
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182 Courses
Course
Introduction to Regression with statsmodels in Python
- IntermediateSkill Level
- 4.8+
- 2.1K
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Probability & Statistics
Course
Writing Functions in Python
- IntermediateSkill Level
- 4.8+
- 2.1K
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Software Development
Course
Hypothesis Testing in Python
- IntermediateSkill Level
- 4.8+
- 2K
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Probability & Statistics
Course
Preprocessing for Machine Learning in Python
- IntermediateSkill Level
- 4.8+
- 1.9K
Learn how to clean and prepare your data for machine learning!
Machine Learning
Course
Natural Language Processing (NLP) in Python
- IntermediateSkill Level
- 4.9+
- 1.9K
Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.
Artificial Intelligence
Course
Sampling in Python
- IntermediateSkill Level
- 4.8+
- 1.9K
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
Course
Data Types in Python
- IntermediateSkill Level
- 4.8+
- 1.8K
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Software Development
Course
Introduction to Model Context Protocol (MCP)
- IntermediateSkill Level
- 4.9+
- 1.8K
Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).
Artificial Intelligence
Course
Object-Oriented Programming in Python
- AdvancedSkill Level
- 4.8+
- 1.8K
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
Software Development
Course
Designing Agentic Systems with LangChain
- IntermediateSkill Level
- 4.8+
- 1.8K
Get to grips with the foundational components of LangChain agents and build custom chat agents.
Artificial Intelligence
Course
Working with Dates and Times in Python
- IntermediateSkill Level
- 4.8+
- 1.7K
Learn how to work with dates and times in Python.
Software Development
Course
Web Scraping in Python
- IntermediateSkill Level
- 4.8+
- 1.7K
Learn to retrieve and parse information from the internet using the Python library scrapy.
Data Preparation
Course
Vector Databases for Embeddings with Pinecone
- IntermediateSkill Level
- 4.8+
- 1.5K
Discover how the Pinecone vector database is revolutionizing AI application development!
Artificial Intelligence
Course
Introduction to Deep Learning in Python
- IntermediateSkill Level
- 4.8+
- 1.5K
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Artificial Intelligence
Course
Manipulating Time Series Data in Python
- IntermediateSkill Level
- 4.8+
- 1.5K
In this course youll learn the basics of working with time series data.
Data Manipulation
Course
Image Processing in Python
- IntermediateSkill Level
- 4.8+
- 1.4K
Learn to process, transform, and manipulate images at your will.
Machine Learning
Course
Multi-Agent Systems with LangGraph
- AdvancedSkill Level
- 4.9+
- 1.4K
Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.
Artificial Intelligence
Course
Linear Classifiers in Python
- IntermediateSkill Level
- 4.8+
- 1.4K
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Machine Learning
Course
Introduction to Data Engineering
- IntermediateSkill Level
- 4.8+
- 1.4K
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Data Engineering
Course
Working with Categorical Data in Python
- IntermediateSkill Level
- 4.8+
- 1.4K
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Data Manipulation
Course
Intermediate Python for Finance
- IntermediateSkill Level
- 4.8+
- 1.4K
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Applied Finance
Course
Streamlined Data Ingestion with pandas
- IntermediateSkill Level
- 4.8+
- 1.3K
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Data Preparation
Course
Building AI Agents with Google ADK
- IntermediateSkill Level
- 4.8+
- 1.3K
Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).
Artificial Intelligence
Course
Introduction to Testing in Python
- AdvancedSkill Level
- 4.8+
- 1.2K
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.
Software Development
Course
Extreme Gradient Boosting with XGBoost
- IntermediateSkill Level
- 4.9+
- 1.1K
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
Course
Reinforcement Learning with Gymnasium in Python
- AdvancedSkill Level
- 4.8+
- 1.1K
Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
Artificial Intelligence
Course
Regular Expressions in Python
- BasicSkill Level
- 4.8+
- 1.1K
Learn about string manipulation and become a master at using regular expressions.
Software Development
Course
Introduction to Data Visualization with Plotly in Python
- BasicSkill Level
- 4.8+
- 1.1K
Create interactive data visualizations in Python using Plotly.
Data Visualization
Course
Introduction to Deep Learning with Keras
- IntermediateSkill Level
- 4.8+
- 1.1K
Learn to start developing deep learning models with Keras.
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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