Course
Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.5+
- 897
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Data Visualization
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.292 Courses
Course
Data Visualization in Databricks
- BasicSkill Level
- 4.6+
- 668
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.
Data Visualization
Course
Importing and Managing Financial Data in Python
- IntermediateSkill Level
- 4.7+
- 513
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Applied Finance
Course
Intermediate Data Visualization with Seaborn
- IntermediateSkill Level
- 4.6+
- 456
Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.
Data Visualization
Course
Streaming Data with AWS Kinesis and Lambda
- AdvancedSkill Level
- 4.4+
- 398
Learn how to work with streaming data using serverless technologies on AWS.
Cloud
Course
Functions for Manipulating Data in SQL Server
- IntermediateSkill Level
- 4.8+
- 381
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
Data Manipulation
Course
Case Study: Analyzing City Time Series Data in R
- IntermediateSkill Level
- 4.7+
- 313
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Probability & Statistics
Course
Analyzing Survey Data in R
- IntermediateSkill Level
- 4.5+
- 255
Learn survey design using common design structures followed by visualizing and analyzing survey results.
Probability & Statistics
Course
Data Manipulation in KNIME
- BasicSkill Level
- 4.7+
- 231
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
Data Manipulation
Course
Analyzing Social Media Data in Python
- IntermediateSkill Level
- 4.8+
- 213
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Data Manipulation
Course
Analyzing Survey Data in Python
- IntermediateSkill Level
- 4.6+
- 106
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Probability & Statistics
Course
Case Study: Analyzing Fitness Data in Alteryx
- IntermediateSkill Level
- 4.6+
- 72
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Data Preparation
Course
Scalable Data Processing in R
- AdvancedSkill Level
- 4.6+
- 40
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Software Development
Course
Predictive Analytics using Networked Data in R
- IntermediateSkill Level
- 4.7+
- 31
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Probability & Statistics
Course
Introduction to Tableau
- BasicSkill Level
- 4.7+
- 10.9K
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.
Data Visualization
Course
Introduction to Snowflake
- BasicSkill Level
- 4.7+
- 6.9K
Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.
Data Warehouse
Course
Introduction to Databricks
- BasicSkill Level
- 4.6+
- 5.8K
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Data Engineering
Course
Creating Dashboards in Tableau
- BasicSkill Level
- 4.6+
- 2.2K
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Data Visualization
Course
Introduction to SQL Querying with AI
- BasicSkill Level
- 4.6+
- 1.6K
Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Data Manipulation
Course
Introduction to NoSQL
- BasicSkill Level
- 4.7+
- 1K
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
Course
Pivot Tables in Google Sheets
- BasicSkill Level
- 4.5+
- 823
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Data Manipulation
Course
Introduction to MongoDB in Python
- IntermediateSkill Level
- 4.5+
- 786
Learn to manipulate and analyze flexibly structured data with MongoDB.
Data Engineering
Course
Introduction to Redshift
- IntermediateSkill Level
- 4.6+
- 292
Master Amazon Redshifts SQL, data management, optimization, and security.
Data Engineering
Course
Conditional Formatting in Google Sheets
- BasicSkill Level
- 3.9+
- 193
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Data Manipulation
Course
Programming with dplyr
- IntermediateSkill Level
- 4.7+
- 68
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Data Manipulation
Course
Introduction to Statistics
- BasicSkill Level
- 4.6+
- 9.7K
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Probability & Statistics
Course
PostgreSQL Summary Stats and Window Functions
- IntermediateSkill Level
- 4.6+
- 5.8K
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
Software Development
Course
Introduction to Functions in Python
- BasicSkill Level
- 4.5+
- 5.7K
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Software Development
Course
Software Engineering Principles in Python
- BasicSkill Level
- 4.6+
- 3.3K
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Software Development
Course
Writing Efficient Python Code
- IntermediateSkill Level
- 4.6+
- 3.1K
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
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.