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771 Courses

Course

User-Oriented Design in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 462 reviews

Learn how to design Power BI visualizations and reports with users in mind.

Data Visualization

2 hours

Course

Developing Machine Learning Models for Production

  • IntermediateSkill Level
  • 4.8+
  • 473 reviews

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Machine Learning

4 hours

Course

Data Types and Functions in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 539 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

Improving Query Performance in SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 416 reviews

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Software Development

4 hours

Course

Intermediate SQL Querying with AI

  • BasicSkill Level
  • 4.9+
  • 256 reviews

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

Data Manipulation

3 hours

Course

Linear Algebra for Data Science in R

  • IntermediateSkill Level
  • 4.7+
  • 138 reviews

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

Probability & Statistics

4 hours

Course

Introduction to Bioconductor in R

  • IntermediateSkill Level
  • 4.7+
  • 121 reviews

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Probability & Statistics

4 hours

Course

Introduction to Databases in Python

  • IntermediateSkill Level
  • 4.8+
  • 286 reviews

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

Data Manipulation

4 hours

Course

AI-Assisted Travel Planning

  • BasicSkill Level
  • 4.8+
  • 495 reviews

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

Artificial Intelligence

1 hour

Course

Natural Language Processing with spaCy

  • IntermediateSkill Level
  • 4.7+
  • 615 reviews

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Machine Learning

4 hours

Course

NoSQL Concepts

  • IntermediateSkill Level
  • 4.8+
  • 539 reviews

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Data Engineering

2 hours

Course

Monitoring Machine Learning Concepts

  • IntermediateSkill Level
  • 4.8+
  • 511 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

Feature Engineering for NLP in Python

  • IntermediateSkill Level
  • 4.8+
  • 146 reviews

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Machine Learning

4 hours

Course

Data Manipulation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 657 reviews

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

Data Manipulation

3 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 819 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 R for Finance

  • BasicSkill Level
  • 4.7+
  • 100 reviews

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Applied Finance

4 hours

Course

Math for Finance Professionals

  • BasicSkill Level
  • 4.8+
  • 306 reviews

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

Applied Finance

3 hours

Course

Sentiment Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 445 reviews

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Machine Learning

4 hours

Course

Building a Go-To-Market Strategy

  • BasicSkill Level
  • 4.7+
  • 406 reviews

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

Artificial Intelligence

1 hour

Course

Building Marketing Workflows with n8n

  • BasicSkill Level
  • 4.9+
  • 69 reviews

Build marketing workflows in n8n using AI agents. Automate campaign strategy, conversion optimization, and lead generation from scratch.

Artificial Intelligence

3 hours

Course

Calculations in Tableau

  • AdvancedSkill Level
  • 4.7+
  • 686 reviews

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Data Visualization

6 hours

Course

Window Functions in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 529 reviews

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

Data Manipulation

3 hours

Course

Optimizing Code in Java

  • AdvancedSkill Level
  • 4.8+
  • 213 reviews

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Software Development

3 hours

Course

Intermediate Google Sheets

  • BasicSkill Level
  • 4.8+
  • 826 reviews

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Data Preparation

4 hours

Course

AI Agents with Hugging Face smolagents

  • AdvancedSkill Level
  • 4.8+
  • 257 reviews

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

Artificial Intelligence

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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