Course
Working with Geospatial Data in Python
- IntermediateSkill Level
- 4.7+
- 294 reviews
This course will show you how to integrate spatial data into your Python Data Science workflow.
Data Manipulation
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778 Courses
Course
Machine Learning for Finance in Python
- IntermediateSkill Level
- 4.8+
- 236 reviews
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Machine Learning
Course
Azure API Management
- IntermediateSkill Level
- 4.7+
- 152 reviews
Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.
Cloud
Course
Visualization Best Practices in R
- BasicSkill Level
- 4.8+
- 357 reviews
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Data Visualization
Course
Apache Iceberg: From Zero to Production Data Lakehouse
- IntermediateSkill Level
- 4.7+
- 32 reviews
Build production-ready Apache Iceberg lakehouses: model, migrate, and maintain tables at scale.
Data Engineering
Course
Hyperparameter Tuning in Python
- IntermediateSkill Level
- 4.8+
- 886 reviews
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Machine Learning
Course
AI Agents with Hugging Face smolagents
- AdvancedSkill Level
- 4.8+
- 280 reviews
Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.
Artificial Intelligence
Course
Data Processing in Shell
- IntermediateSkill Level
- 4.8+
- 561 reviews
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Data Manipulation
Course
Google: Build and Deploy Agents in Production
- IntermediateSkill Level
- 4.7+
- 107 reviews
Explore multi-agent system architecture and deployment using Googles ADK and Google Cloud infrastructure for production-grade agent applications.
Cloud
Course
Case Study: Analyzing Job Market Data in Power BI
- BasicSkill Level
- 4.8+
- 357 reviews
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Data Manipulation
Course
Develop for Azure Storage
- IntermediateSkill Level
- 4.7+
- 170 reviews
Learn how to store, secure, scale, and process data in Azure using Blob Storage, Cosmos DB, queues, and event-driven services.
Cloud
Course
Intermediate Importing Data in R
- IntermediateSkill Level
- 4.8+
- 300 reviews
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Data Preparation
Course
Introduction to Financial Concepts in Python
- BasicSkill Level
- 4.8+
- 467 reviews
Using Python and NumPy, learn the most fundamental financial concepts.
Applied Finance
Course
Multi-Modal Systems with the OpenAI API
- IntermediateSkill Level
- 4.8+
- 511 reviews
Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!
Artificial Intelligence
Course
Introduction to Data Visualization with Plotly in Python
- BasicSkill Level
- 4.8+
- 517 reviews
Create interactive data visualizations in Python using Plotly.
Data Visualization
Course
Corporate Finance Fundamentals
- BasicSkill Level
- 4.8+
- 262 reviews
Learn key financial concepts such as capital investment, WACC, and shareholder value.
Applied Finance
Cloud
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Building Marketing Workflows with n8n
- BasicSkill Level
- 4.8+
- 107 reviews
Build marketing workflows in n8n using AI agents. Automate campaign strategy, conversion optimization, and lead generation from scratch.
Artificial Intelligence
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Software Development with Windsurf
- IntermediateSkill Level
- 4.8+
- 500 reviews
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
Artificial Intelligence
Course
Introduction to Bioconductor in R
- IntermediateSkill Level
- 4.7+
- 129 reviews
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Probability & Statistics
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Introduction to AWS Boto in Python
- IntermediateSkill Level
- 4.8+
- 237 reviews
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
Cloud
Course
Querying a PostgreSQL Database in Java
- AdvancedSkill Level
- 4.7+
- 159 reviews
Connect Java to PostgreSQL with JDBC. Write secure queries, manage transactions, and handle large datasets efficiently.
Software Development
Course
Visualizations in Sigma
- BasicSkill Level
- 4.8+
- 279 reviews
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.
Data Visualization
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Building and Optimizing Triggers in SQL Server
- IntermediateSkill Level
- 4.8+
- 314 reviews
Learn how to design and implement triggers in SQL Server using real-world examples.
Software Development
Course
Supply Chain Analytics in Python
- IntermediateSkill Level
- 4.8+
- 102 reviews
Leverage the power of Python and PuLP to optimize supply chains.
Exploratory Data Analysis
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Foundations of Probability in Python
- IntermediateSkill Level
- 4.8+
- 211 reviews
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Probability & Statistics
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Multi-Modal Models with Hugging Face
- IntermediateSkill Level
- 4.8+
- 194 reviews
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!
Artificial Intelligence
Course
Streaming Concepts
- BasicSkill Level
- 4.7+
- 555 reviews
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Data Engineering
Course
Building Web Applications with Shiny in R
- IntermediateSkill Level
- 4.7+
- 230 reviews
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.
Software Development
Course
Importing Data in Java
- IntermediateSkill Level
- 4.7+
- 131 reviews
Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.
Software Development
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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