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774 Courses

Course

Data Ingestion and Semantic Models with Microsoft Fabric

  • BasicSkill Level
  • 4.8+
  • 365 reviews

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

Other

4 hours

Course

Case Study: Analyzing Customer Churn in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,032 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

3 hours

Course

Pivot Tables in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 226 reviews

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Data Manipulation

2 hours

Course

Introduction to KNIME

  • BasicSkill Level
  • 4.8+
  • 554 reviews

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Data Preparation

3 hours

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 858 reviews

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

4 hours

Course

Monitoring Machine Learning Concepts

  • IntermediateSkill Level
  • 4.8+
  • 541 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

2 hours

Course

Cleaning Data with PySpark

  • AdvancedSkill Level
  • 4.7+
  • 515 reviews

Learn how to clean data with Apache Spark in Python.

Data Preparation

4 hours

Course

Gen AI Apps: Transform Your Work

  • BasicSkill Level
  • 4.8+
  • 211 reviews

This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.

Cloud

1 hour 15 min

Course

Data Types and Functions in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 573 reviews

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Data Manipulation

3 hours

Course

AI-Assisted Travel Planning

  • BasicSkill Level
  • 4.8+
  • 529 reviews

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

Artificial Intelligence

1 hour

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

4 hours

Course

Introduction to Databases in Python

  • IntermediateSkill Level
  • 4.8+
  • 302 reviews

In this course, youll learn the basics of relational databases and how to interact with them.

Data Manipulation

4 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 842 reviews

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Data Manipulation

4 hours

Course

Introduction to Testing in Java

  • AdvancedSkill Level
  • 4.8+
  • 235 reviews

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

Software Development

3 hours

Course

Time Series Analysis in SQL Server

  • IntermediateSkill Level
  • 4.7+
  • 445 reviews

Explore ways to work with date and time data in SQL Server for time series analysis

Data Manipulation

5 hours

Course

Understanding Digital Transformation

  • BasicSkill Level
  • 4.8+
  • 603 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

1 hour

Course

Building AI Agents with Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 35 reviews

Build autonomous Cortex Agents in Snowflake that query structured and unstructured data, then deploy and monitor them.

Artificial Intelligence

4 hours

Course

Math for Finance Professionals

  • BasicSkill Level
  • 4.8+
  • 321 reviews

Learn essential finance math skills with practical Excel exercises and real-world examples.

Applied Finance

3 hours

Course

Communicating with Data in the Tidyverse

  • BasicSkill Level
  • 4.8+
  • 206 reviews

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Data Visualization

4 hours

Course

Linear Algebra for Data Science in R

  • IntermediateSkill Level
  • 4.7+
  • 144 reviews

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Probability & Statistics

4 hours

Course

Dimensionality Reduction in Python

  • IntermediateSkill Level
  • 4.8+
  • 925 reviews

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Machine Learning

4 hours

Course

Transactions and Error Handling in SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 340 reviews

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Software Development

4 hours

Course

Intermediate SQL Querying with AI

  • BasicSkill Level
  • 4.9+
  • 265 reviews

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Data Manipulation

3 hours

Course

Google: Build and Deploy Agents in Production

  • IntermediateSkill Level
  • 4.7+
  • 76 reviews

Explore multi-agent system architecture and deployment using Googles ADK and Google Cloud infrastructure for production-grade agent applications.

Cloud

30 min

Course

Building a Go-To-Market Strategy

  • BasicSkill Level
  • 4.7+
  • 436 reviews

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

Artificial Intelligence

1 hour

Course

Data Manipulation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 684 reviews

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Data Manipulation

3 hours

Course

Window Functions in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 559 reviews

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Data Manipulation

3 hours

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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