Course
Introduction to KNIME
- BasicSkill Level
- 4.8+
- 523 reviews
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.
Data Preparation
Data, AI, and Cloud Courses
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711 Courses
Course
Intermediate Object-Oriented Programming in Python
- AdvancedSkill Level
- 4.8+
- 921 reviews
Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
Software Development
Course
Introduction to Agent Skills
- IntermediateSkill Level
- 4.9+
- 72 reviews
Learn how to build, configure, and share Skills in Claude Code — reusable markdown instructions that Claude automatically applies to tasks at the right time.
Artificial Intelligence
Course
Create Engaging Video with Google Vids
- BasicSkill Level
- 4.9+
- 226 reviews
Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.
Cloud
Artificial Intelligence
Course
Gemini in Google Meet
- BasicSkill Level
- 4.8+
- 239 reviews
Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.
Artificial Intelligence
Course
ARIMA Models in R
- BasicSkill Level
- 4.8+
- 299 reviews
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Probability & Statistics
Course
Reporting in SQL
- IntermediateSkill Level
- 4.8+
- 763 reviews
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
Reporting
Course
Machine Learning with PySpark
- AdvancedSkill Level
- 4.8+
- 685 reviews
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Machine Learning
Course
Cleaning Data with PySpark
- AdvancedSkill Level
- 4.7+
- 456 reviews
Learn how to clean data with Apache Spark in Python.
Data Preparation
Course
Introduction to Databricks Lakehouse
- BasicSkill Level
- 4.7+
- 92 reviews
Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.
Data Engineering
Course
Data Visualization in Tableau
- BasicSkill Level
- 4.7+
- 797 reviews
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
Course
Gen AI: Beyond the Chatbot
- BasicSkill Level
- 4.8+
- 104 reviews
This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.
Cloud
Course
AI for Human Resources
- BasicSkill Level
- 4.8+
- 102 reviews
Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.
Artificial Intelligence
Course
Connecting Data in Tableau
- BasicSkill Level
- 4.8+
- 1,083 reviews
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Data Preparation
Course
Time Series Analysis in R
- IntermediateSkill Level
- 4.8+
- 84 reviews
Learn the core techniques necessary to extract meaningful insights from time series data.
Probability & Statistics
Course
Microsoft Copilot in Word
- BasicSkill Level
- 4.8+
- 91 reviews
Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.
Artificial Intelligence
Course
Hyperparameter Tuning in Python
- IntermediateSkill Level
- 4.8+
- 771 reviews
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Machine Learning
Course
AI for Marketing
- BasicSkill Level
- 4.7+
- 141 reviews
Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.
Artificial Intelligence
Course
Introduction to MongoDB in Python
- IntermediateSkill Level
- 4.7+
- 352 reviews
Learn to manipulate and analyze flexibly structured data with MongoDB.
Data Engineering
Course
Credit Risk Modeling in Python
- IntermediateSkill Level
- 4.7+
- 269 reviews
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
Applied Finance
Course
Input/Output and Streams in Java
- IntermediateSkill Level
- 4.8+
- 346 reviews
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Software Development
Course
Introduction to Databases in Python
- IntermediateSkill Level
- 4.7+
- 260 reviews
In this course, youll learn the basics of relational databases and how to interact with them.
Data Manipulation
Course
Manipulating Time Series Data in R
- IntermediateSkill Level
- 4.8+
- 283 reviews
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Data Manipulation
Course
Data Manipulation in Snowflake
- BasicSkill Level
- 4.8+
- 936 reviews
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
Data Manipulation
Course
Data Transformation in Alteryx
- BasicSkill Level
- 4.8+
- 740 reviews
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Data Manipulation
Course
CI/CD for Machine Learning
- AdvancedSkill Level
- 4.7+
- 351 reviews
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Machine Learning
Course
Calculations in Tableau
- AdvancedSkill Level
- 4.7+
- 635 reviews
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!
Data Visualization
Course
AI for Consulting
- BasicSkill Level
- 4.8+
- 98 reviews
Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.
Artificial Intelligence
Course
Data Validation in Excel
- BasicSkill Level
- 4.7+
- 490 reviews
Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.
Data Management
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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