Course
Time Series Analysis in R
- IntermediateSkill Level
- 4.7+
- 858
Learn the core techniques necessary to extract meaningful insights from time series data.
Probability & Statistics
Data, AI, and Cloud Courses
Master skills that matterFollow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
- Learn at your own pace
- Get hands-on experience
- Complete bite-sized chapters
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Browse Courses
670 Courses
Course
Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.5+
- 848
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Data Visualization
Course
Developing Python Packages
- IntermediateSkill Level
- 4.4+
- 848
Learn to create your own Python packages to make your code easier to use and share with others.
Software Development
Course
Deploying AI into Production with FastAPI
- AdvancedSkill Level
- 4.7+
- 845
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
Artificial Intelligence
Course
Dimensionality Reduction in Python
- IntermediateSkill Level
- 4.7+
- 837
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Machine Learning
Course
Cleaning Data with PySpark
- AdvancedSkill Level
- 4.6+
- 836
Learn how to clean data with Apache Spark in Python.
Data Preparation
Course
Pivot Tables in Google Sheets
- BasicSkill Level
- 4.5+
- 834
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Data Manipulation
Course
Intermediate Google Sheets
- BasicSkill Level
- 4.5+
- 822
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Data Preparation
Course
Introduction to Databases in Python
- IntermediateSkill Level
- 4.6+
- 821
In this course, youll learn the basics of relational databases and how to interact with them.
Data Manipulation
Course
Data Validation in Excel
- BasicSkill Level
- 4.5+
- 808
Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.
Data Management
Course
Introduction to Azure
- BasicSkill Level
- 4.7+
- 806
Explore Azure services like Compute, Storage, and Automation, with hands-on experience.
Cloud
Course
Hyperparameter Tuning in Python
- IntermediateSkill Level
- 4.6+
- 770
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Machine Learning
Course
Software Development with Windsurf
- IntermediateSkill Level
- 4.7+
- 759
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
Artificial Intelligence
Course
Communicating with Data in the Tidyverse
- BasicSkill Level
- 4.4+
- 759
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Data Visualization
Course
Calculations in Tableau
- AdvancedSkill Level
- 4.5+
- 753
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 Marketing
- BasicSkill Level
- 4.6+
- 751
Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.
Artificial Intelligence
Course
Machine Learning for Finance in Python
- IntermediateSkill Level
- 4.7+
- 748
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Machine Learning
Course
Reporting with R Markdown
- IntermediateSkill Level
- 4.3+
- 746
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
Reporting
Course
Manipulating Time Series Data in R
- IntermediateSkill Level
- 4.6+
- 743
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Data Manipulation
Course
Introduction to MongoDB in Python
- IntermediateSkill Level
- 4.5+
- 741
Learn to manipulate and analyze flexibly structured data with MongoDB.
Data Engineering
Course
Data Transformation in Alteryx
- BasicSkill Level
- 4.6+
- 732
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Data Manipulation
Course
Credit Risk Modeling in Python
- IntermediateSkill Level
- 4.7+
- 723
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
Applied Finance
Course
CI/CD for Machine Learning
- AdvancedSkill Level
- 4.5+
- 711
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
Machine Learning
Course
Data Types and Functions in Snowflake
- IntermediateSkill Level
- 4.7+
- 708
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.
Data Manipulation
Course
Generate a Study Guide
- BasicSkill Level
- 4.4+
- 708
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.
Artificial Intelligence
Course
Window Functions in Snowflake
- IntermediateSkill Level
- 4.7+
- 705
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.
Data Manipulation
Course
User-Oriented Design in Power BI
- IntermediateSkill Level
- 4.3+
- 705
Learn how to design Power BI visualizations and reports with users in mind.
Data Visualization
Course
Introduction to Optimization in Python
- IntermediateSkill Level
- 4.6+
- 704
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Software Development
Course
Data Visualization in Google Sheets
- BasicSkill Level
- 4.4+
- 698
Learn the fundamentals of data visualization using Google Sheets.
Data Visualization
Course
Introduction to Portfolio Risk Management in Python
- IntermediateSkill Level
- 4.6+
- 695
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Applied Finance
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.