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Monetizing Artificial Intelligence
- BasicSkill Level
- 4.8+
- 1.3K
Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.
Artificial Intelligence
Data, AI, and Cloud Courses
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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
DevOps Concepts
- BasicSkill Level
- 4.8+
- 1.3K
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
Understanding the EU AI Act
- BasicSkill Level
- 4.8+
- 1.3K
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
Artificial Intelligence
Course
Regular Expressions in Python
- BasicSkill Level
- 4.8+
- 1.3K
Learn about string manipulation and become a master at using regular expressions.
Software Development
Course
Microsoft Copilot in Excel
- BasicSkill Level
- 4.8+
- 1.3K
Stop fighting Excel and start talking to it! Use Copilot in Excel to clean data, build charts, and get answers faster.
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
AWS Security and Cost Management Concepts
- BasicSkill Level
- 4.8+
- 1.2K
Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.
Cloud
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Introduction to Data Visualization with Plotly in Python
- BasicSkill Level
- 4.8+
- 1.2K
Create interactive data visualizations in Python using Plotly.
Data Visualization
Course
AI Security and Risk Management
- BasicSkill Level
- 4.8+
- 1.2K
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
Artificial Intelligence
Course
Introduction to GPTs
- BasicSkill Level
- 4.8+
- 1.2K
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Artificial Intelligence
Course
Introduction to Writing Functions in R
- BasicSkill Level
- 4.7+
- 1.1K
Take your R skills up a notch by learning to write efficient, reusable functions.
Software Development
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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
Creating PostgreSQL Databases
- BasicSkill Level
- 4.8+
- 1.1K
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Data Preparation
Course
Analyzing Marketing Campaigns with pandas
- BasicSkill Level
- 4.8+
- 1K
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Exploratory Data Analysis
Course
Introduction to KNIME
- BasicSkill Level
- 4.8+
- 1K
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.
Data Preparation
Course
Introduction to NoSQL
- BasicSkill Level
- 4.8+
- 1K
Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
Data Engineering
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Artificial Intelligence Governance
- BasicSkill Level
- 4.8+
- 944
Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.
Artificial Intelligence
Course
Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.8+
- 944
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Data Visualization
Course
Data Manipulation in Snowflake
- BasicSkill Level
- 4.8+
- 928
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
Data Manipulation
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Data Storytelling Case Study: Green Businesses
- BasicSkill Level
- 4.8+
- 926
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Data Literacy
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Data Visualization in Tableau
- BasicSkill Level
- 4.8+
- 926
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Data Visualization
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Understanding Microsoft Azure Management and Governance
- BasicSkill Level
- 4.8+
- 920
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Cloud
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Introduction to Statistics in Google Sheets
- BasicSkill Level
- 4.8+
- 912
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Probability & Statistics
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ARIMA Models in R
- BasicSkill Level
- 4.9+
- 882
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Probability & Statistics
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Explainable Artificial Intelligence (XAI) Concepts
- BasicSkill Level
- 4.8+
- 881
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Artificial Intelligence
Course
Marketing Analytics for Business
- BasicSkill Level
- 4.8+
- 865
Discover how Marketing Analysts use data to understand customers and drive business growth.
Leadership
Course
Connecting Data in Tableau
- BasicSkill Level
- 4.9+
- 864
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Data Preparation
Course
Data Management in Databricks
- BasicSkill Level
- 4.8+
- 857
Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.
Data Management
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Microsoft Copilot in Word
- BasicSkill Level
- 4.9+
- 823
Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.
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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