Course
Gen AI: Unlock Foundational Concepts
- BasicSkill Level
- 4.8+
- 199 reviews
You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.
Cloud
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779 Courses
Course
Optimizing Code in Java
- AdvancedSkill Level
- 4.8+
- 264 reviews
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.
Software Development
Course
Introduction to Modern Data Engineering with Snowflake
- IntermediateSkill Level
- 4.8+
- 33 reviews
Build end-to-end data pipelines in Snowflake: ingest, transform with SQL and Snowpark, deliver, and orchestrate.
Data Engineering
Course
Pivot Tables in Google Sheets
- BasicSkill Level
- 4.8+
- 225 reviews
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Data Manipulation
Course
Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.8+
- 1,026 reviews
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Data Visualization
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Introduction to KNIME
- BasicSkill Level
- 4.8+
- 549 reviews
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.
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AI-Assisted Travel Planning
- BasicSkill Level
- 4.8+
- 522 reviews
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Artificial Intelligence
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Monitoring Machine Learning Concepts
- IntermediateSkill Level
- 4.8+
- 530 reviews
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
Machine Learning
Course
Introduction to R for Finance
- BasicSkill Level
- 4.7+
- 102 reviews
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Applied Finance
Course
Data Types and Functions in Snowflake
- IntermediateSkill Level
- 4.8+
- 555 reviews
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.
Data Manipulation
Course
Improving Query Performance in PostgreSQL
- IntermediateSkill Level
- 4.8+
- 483 reviews
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
Software Development
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Gen AI Apps: Transform Your Work
- BasicSkill Level
- 4.8+
- 192 reviews
This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.
Cloud
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Intermediate SQL Querying with AI
- BasicSkill Level
- 4.9+
- 263 reviews
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
Data Manipulation
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Linear Algebra for Data Science in R
- IntermediateSkill Level
- 4.7+
- 143 reviews
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Probability & Statistics
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Introduction to Portfolio Analysis in Python
- AdvancedSkill Level
- 4.8+
- 382 reviews
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
Applied Finance
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Time Series Analysis in SQL Server
- IntermediateSkill Level
- 4.7+
- 436 reviews
Explore ways to work with date and time data in SQL Server for time series analysis
Data Manipulation
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NoSQL Concepts
- IntermediateSkill Level
- 4.8+
- 556 reviews
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
Data Engineering
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Dimensionality Reduction in Python
- IntermediateSkill Level
- 4.8+
- 909 reviews
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Machine Learning
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Building a Go-To-Market Strategy
- BasicSkill Level
- 4.7+
- 428 reviews
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
Artificial Intelligence
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Introduction to Testing in Java
- AdvancedSkill Level
- 4.8+
- 220 reviews
Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.
Software Development
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Math for Finance Professionals
- BasicSkill Level
- 4.8+
- 318 reviews
Learn essential finance math skills with practical Excel exercises and real-world examples.
Applied Finance
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Introduction to Databases in Python
- IntermediateSkill Level
- 4.7+
- 289 reviews
In this course, youll learn the basics of relational databases and how to interact with them.
Data Manipulation
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Transactions and Error Handling in SQL Server
- IntermediateSkill Level
- 4.8+
- 335 reviews
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
Software Development
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Building Marketing Workflows with n8n
- BasicSkill Level
- 4.9+
- 79 reviews
Build marketing workflows in n8n using AI agents. Automate campaign strategy, conversion optimization, and lead generation from scratch.
Artificial Intelligence
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Understanding Digital Transformation
- BasicSkill Level
- 4.8+
- 597 reviews
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Data Literacy
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Data Manipulation in Alteryx
- BasicSkill Level
- 4.8+
- 676 reviews
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Data Manipulation
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Reshaping Data with pandas
- IntermediateSkill Level
- 4.7+
- 837 reviews
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Data Manipulation
Course
Introduction to Bioconductor in R
- IntermediateSkill Level
- 4.7+
- 124 reviews
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Probability & Statistics
Course
Window Functions in Snowflake
- IntermediateSkill Level
- 4.8+
- 547 reviews
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.
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Course
Practicing Coding Interview Questions in Python
- AdvancedSkill Level
- 4.7+
- 78 reviews
Prepare for your next coding interviews in Python.
Software Development
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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