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Intermediate Power Query in Excel
- IntermediateSkill Level
- 4.8+
- 1.4K
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
Data Preparation
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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
Transformer Models with PyTorch
- AdvancedSkill Level
- 4.8+
- 1.4K
What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.
Artificial Intelligence
Course
Financial Analysis in Power BI
- IntermediateSkill Level
- 4.9+
- 1.4K
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Applied Finance
Course
Working with Llama 3
- IntermediateSkill Level
- 4.8+
- 1.4K
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Artificial Intelligence
Course
Understanding Excel
- BasicSkill Level
- 4.8+
- 1.4K
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
Data Manipulation
Course
Intermediate Java
- BasicSkill Level
- 4.8+
- 1.4K
Learn to write cleaner, smarter Java code with methods, control flow, and loops.
Software Development
Course
Introduction to Object-Oriented Programming in Java
- IntermediateSkill Level
- 4.8+
- 1.4K
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Software Development
Course
Streamlined Data Ingestion with pandas
- IntermediateSkill Level
- 4.8+
- 1.4K
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Data Preparation
Course
Vibe Coding with Replit
- BasicSkill Level
- 4.9+
- 1.3K
Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.
Artificial Intelligence
Course
Data Storytelling Case Study: College Majors
- BasicSkill Level
- 4.8+
- 1.3K
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Data Literacy
Course
Software Development with Cursor
- IntermediateSkill Level
- 4.8+
- 1.2K
Build production-ready code with Cursor. Learn AI prompts, refactoring, testing, and advanced workflows.
Artificial Intelligence
Course
Data-Driven Decision Making for Business
- BasicSkill Level
- 4.8+
- 1.2K
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Leadership
Course
Intermediate dbt
- AdvancedSkill Level
- 4.8+
- 1.2K
Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
Data Engineering
Course
DevOps Concepts
- BasicSkill Level
- 4.8+
- 1.2K
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Software Development
Course
Introduction to GPTs
- BasicSkill Level
- 4.8+
- 1.1K
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Artificial Intelligence
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Introduction to Deep Learning with Keras
- IntermediateSkill Level
- 4.8+
- 1.1K
Learn to start developing deep learning models with Keras.
Artificial Intelligence
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Introduction to Natural Language Processing in Python
- IntermediateSkill Level
- 4.7+
- 1.1K
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Machine Learning
Course
Data Science for Business
- BasicSkill Level
- 4.8+
- 1.1K
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Data Literacy
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
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Time Series Analysis in Python
- IntermediateSkill Level
- 4.9+
- 1.1K
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Probability & Statistics
Course
Cluster Analysis in Python
- IntermediateSkill Level
- 4.8+
- 1.1K
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Machine Learning
Course
Intermediate Data Visualization with ggplot2
- IntermediateSkill Level
- 4.8+
- 1.1K
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Data Visualization
Course
Reshaping Data with pandas
- IntermediateSkill Level
- 4.8+
- 1.1K
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Data Manipulation
Course
Intermediate Docker
- IntermediateSkill Level
- 4.7+
- 1K
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!
Software Development
Course
Introduction to BigQuery
- IntermediateSkill Level
- 4.8+
- 985
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
Data Engineering
Course
AWS Security and Cost Management Concepts
- BasicSkill Level
- 4.8+
- 985
Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.
Cloud
Course
Analyzing Marketing Campaigns with pandas
- BasicSkill Level
- 4.8+
- 969
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Exploratory Data Analysis
Course
Creating PostgreSQL Databases
- BasicSkill Level
- 4.8+
- 964
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Data Preparation
Course
Data Storytelling Case Study: Green Businesses
- BasicSkill Level
- 4.8+
- 945
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Data Literacy
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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