Course
Introduction to NumPy
- BasicSkill Level
- 4.8+
- 2.8K
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Data Manipulation
Data, AI, and Cloud Courses
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.279 Courses
Course
LLMOps Concepts
- BasicSkill Level
- 4.8+
- 2.7K
Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.
Artificial Intelligence
Course
Introduction to SQL Server
- BasicSkill Level
- 4.8+
- 2.7K
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Software Development
Course
Data Governance Concepts
- BasicSkill Level
- 4.8+
- 2.5K
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Data Management
Course
Introduction to Importing Data in R
- BasicSkill Level
- 4.8+
- 2.5K
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Data Preparation
Course
Cleaning Data with Generative AI
- BasicSkill Level
- 4.8+
- 2.5K
Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.
Artificial Intelligence
Course
Large Language Models for Business
- BasicSkill Level
- 4.8+
- 2.3K
Learn about Large Language Models (LLMs) and how they are reshaping the business world.
Artificial Intelligence
Course
Dashboard Design Concepts
- BasicSkill Level
- 4.8+
- 2.2K
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
Data Visualization
Course
Creating Dashboards in Tableau
- BasicSkill Level
- 4.8+
- 2.2K
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Data Visualization
Course
AWS Cloud Technology and Services Concepts
- BasicSkill Level
- 4.8+
- 2.1K
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
Cloud
Course
Introduction to Data Security
- BasicSkill Level
- 4.8+
- 2K
Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.
Data Management
Course
Machine Learning for Business
- BasicSkill Level
- 4.8+
- 1.8K
Understand the fundamentals of Machine Learning and how its applied in the business world.
Machine Learning
Course
Introduction to Data Quality
- BasicSkill Level
- 4.8+
- 1.8K
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.
Data Management
Course
Introduction to Sigma
- BasicSkill Level
- 4.9+
- 1.7K
Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.
Data Manipulation
Course
Power Pivot in Excel
- BasicSkill Level
- 4.8+
- 1.7K
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Data Manipulation
Course
Joining Data with dplyr
- BasicSkill Level
- 4.8+
- 1.6K
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Data Manipulation
Course
Responsible AI Practices
- BasicSkill Level
- 4.8+
- 1.6K
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
Artificial Intelligence
Course
Databricks Concepts
- BasicSkill Level
- 4.8+
- 1.6K
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Data Engineering
Course
Data Analysis in Google Sheets
- BasicSkill Level
- 4.8+
- 1.6K
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Data Manipulation
Course
Intermediate Java
- BasicSkill Level
- 4.8+
- 1.6K
Learn to write cleaner, smarter Java code with methods, control flow, and loops.
Software Development
Course
Data Preparation in Alteryx
- BasicSkill Level
- 4.9+
- 1.6K
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
Data Preparation
Course
Introduction to SQL Querying with AI
- BasicSkill Level
- 4.8+
- 1.5K
Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Data Manipulation
Course
AI for Finance
- BasicSkill Level
- 4.8+
- 1.5K
Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.
Artificial Intelligence
Course
Introduction to Data Ethics
- BasicSkill Level
- 4.8+
- 1.5K
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Data Literacy
Course
Software Development with Claude Code
- BasicSkill Level
- 4.9+
- 1.5K
Claude Code brings AI assistance to your terminal. Learn the workflows that turn it into a reliable tool for real software development.
Artificial Intelligence
Course
Understanding Microsoft Azure Architecture and Services
- BasicSkill Level
- 4.8+
- 1.5K
This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.
Cloud
Course
Understanding Excel
- BasicSkill Level
- 4.8+
- 1.5K
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
Data Manipulation
Course
Introduction to Microsoft Fabric
- BasicSkill Level
- 4.7+
- 1.4K
To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.
Other
Course
Data Management Concepts
- BasicSkill Level
- 4.8+
- 1.3K
Master the key concepts of data management, from life cycle stages to security and governance.
Data Management
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
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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