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Building Scalable Agentic Systems
- BasicSkill Level
- 4.8+
- 4.8K
Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.
Artificial Intelligence
Data, AI, and Cloud Courses
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DAX Functions in Power BI
- BasicSkill Level
- 4.8+
- 4.8K
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Data Manipulation
Course
Introduction to Java
- BasicSkill Level
- 4.9+
- 4.8K
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.
Software Development
Course
Data Storytelling Concepts
- BasicSkill Level
- 4.8+
- 4.6K
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Data Literacy
Course
Introduction to Power Query in Excel
- BasicSkill Level
- 4.8+
- 4.6K
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Data Preparation
Course
Python Toolbox
- BasicSkill Level
- 4.8+
- 4.5K
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Software Development
Course
Introduction to Data Culture
- BasicSkill Level
- 4.8+
- 4.5K
Learn the key components of building a strong data culture within an organization.
Data Literacy
Course
Introduction to Alteryx
- BasicSkill Level
- 4.9+
- 4.3K
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Data Preparation
Course
Practical AI with Google Gemini and NotebookLM
- BasicSkill Level
- 4.9+
- 4.2K
Master Gemini and NotebookLM to automate tasks, boost productivity, and work smarter across Googles AI ecosystem.
Artificial Intelligence
Course
Intermediate Importing Data in Python
- BasicSkill Level
- 4.8+
- 4.2K
Improve your Python data importing skills and learn to work with web and API data.
Data Preparation
Course
AWS Concepts
- BasicSkill Level
- 4.8+
- 4.2K
Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.
Cloud
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Data Manipulation with dplyr
- BasicSkill Level
- 4.9+
- 4.2K
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Data Manipulation
Course
Implementing AI Solutions in Business
- BasicSkill Level
- 4.8+
- 4K
Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.
Artificial Intelligence
Course
Introduction to Data Science in Python
- BasicSkill Level
- 4.9+
- 4K
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.
Software Development
Course
Forming Analytical Questions
- BasicSkill Level
- 4.8+
- 4K
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Data Literacy
Course
Data Communication Concepts
- BasicSkill Level
- 4.8+
- 3.9K
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Data Literacy
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Exploratory Data Analysis in Power BI
- BasicSkill Level
- 4.8+
- 3.8K
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Exploratory Data Analysis
Course
Case Study: HR Analytics in Power BI
- BasicSkill Level
- 4.8+
- 3.8K
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Data Manipulation
Course
Introduction to Python for Finance
- BasicSkill Level
- 4.8+
- 3.5K
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
Applied Finance
Course
Intermediate ChatGPT
- BasicSkill Level
- 4.8+
- 3.5K
Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.
Artificial Intelligence
Course
Introduction to Shell
- BasicSkill Level
- 4.8+
- 3.5K
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Software Development
Course
Data Connections in Power BI
- BasicSkill Level
- 4.8+
- 3.4K
Discover the different ways you can enhance your Power BI data importing skills.
Data Manipulation
Course
Software Engineering Principles in Python
- BasicSkill Level
- 4.7+
- 3.3K
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Software Development
Course
Case Study: Analyzing Customer Churn in Excel
- BasicSkill Level
- 4.8+
- 3.3K
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
Reporting
Course
Introduction to Google Sheets
- BasicSkill Level
- 4.8+
- 3.1K
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Data Preparation
Course
Analyzing Data in Tableau
- BasicSkill Level
- 4.9+
- 3.1K
Take your Tableau skills up a notch with advanced analytics and visualizations.
Data Visualization
Course
Understanding Microsoft Azure
- BasicSkill Level
- 4.8+
- 3K
Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.
Cloud
Course
Data Literacy Case Study: Remote Working Analysis
- BasicSkill Level
- 4.8+
- 3K
Improve data literacy skills by analyzing remote working policies.
Data Literacy
Course
Introduction to Data Privacy
- BasicSkill Level
- 4.8+
- 2.9K
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Data Literacy
Course
Artificial Intelligence (AI) Strategy
- BasicSkill Level
- 4.8+
- 2.9K
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
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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