Course
Introduction to Data Visualization with Seaborn
- BasicSkill Level
- 4.8+
- 1,896 reviews
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Data Visualization
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309 Courses
Course
Cleaning Data in Python
- IntermediateSkill Level
- 4.7+
- 5,223 reviews
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
Data Preparation
Course
Data Storytelling Concepts
- BasicSkill Level
- 4.8+
- 4,337 reviews
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Data Literacy
Course
Analyzing Data in Tableau
- BasicSkill Level
- 4.8+
- 1,807 reviews
Take your Tableau skills up a notch with advanced analytics and visualizations.
Data Visualization
Course
Trend Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 3,530 reviews
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Data Manipulation
Course
Working with Dates and Times in Python
- IntermediateSkill Level
- 4.8+
- 2,855 reviews
Learn how to work with dates and times in Python.
Software Development
Course
Introduction to Importing Data in R
- BasicSkill Level
- 4.7+
- 377 reviews
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Data Preparation
Course
Financial Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 547 reviews
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Applied Finance
Course
Data Storytelling Case Study: College Majors
- BasicSkill Level
- 4.8+
- 956 reviews
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Data Literacy
Course
Time Series Analysis in Python
- IntermediateSkill Level
- 4.8+
- 148 reviews
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Probability & Statistics
Course
Data Transformation with Spark SQL in Databricks
- IntermediateSkill Level
- 4.8+
- 183 reviews
Build end-to-end data pipelines - from cleaning and aggregation to streaming and orchestration.
Data Engineering
Course
Cluster Analysis in Python
- IntermediateSkill Level
- 4.8+
- 1,061 reviews
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Machine Learning
Course
Data Validation in Excel
- BasicSkill Level
- 4.7+
- 589 reviews
Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.
Data Management
Course
Data Transformation with Polars
- IntermediateSkill Level
- 4.8+
- 148 reviews
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.
Data Manipulation
Course
Introduction to Portfolio Analysis in Python
- AdvancedSkill Level
- 4.8+
- 393 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
Course
Data Storytelling Case Study: Green Businesses
- BasicSkill Level
- 4.8+
- 900 reviews
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Data Literacy
Course
Reshaping Data with pandas
- IntermediateSkill Level
- 4.7+
- 847 reviews
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Data Manipulation
Course
Linear Algebra for Data Science in R
- IntermediateSkill Level
- 4.7+
- 150 reviews
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
Probability & Statistics
Course
Communicating with Data in the Tidyverse
- BasicSkill Level
- 4.8+
- 207 reviews
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Data Visualization
Course
Data Manipulation in Alteryx
- BasicSkill Level
- 4.8+
- 688 reviews
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Data Manipulation
Course
Reshaping Data with tidyr
- IntermediateSkill Level
- 4.8+
- 482 reviews
Transform almost any dataset into a tidy format to make analysis easier.
Data Manipulation
Course
Data Processing in Shell
- IntermediateSkill Level
- 4.8+
- 532 reviews
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Data Manipulation
Course
Sentiment Analysis in Python
- IntermediateSkill Level
- 4.8+
- 460 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
Course
Introduction to Network Analysis in Python
- IntermediateSkill Level
- 4.7+
- 227 reviews
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Probability & Statistics
Course
Data Modeling in Sigma
- BasicSkill Level
- 4.8+
- 130 reviews
Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.
Reporting
Course
Cleaning Data in Java
- IntermediateSkill Level
- 4.7+
- 116 reviews
Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.
Importing & Cleaning Data
Course
Biomedical Image Analysis in Python
- IntermediateSkill Level
- 4.8+
- 241 reviews
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Data Manipulation
Course
Case Study: Analyzing Job Market Data in Tableau
- BasicSkill Level
- 4.7+
- 585 reviews
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
Data Visualization
Course
Time Series Analysis in Power BI
- IntermediateSkill Level
- 4.7+
- 280 reviews
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Data Visualization
Course
Improving Your Data Visualizations in Python
- IntermediateSkill Level
- 4.7+
- 320 reviews
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Data Visualization
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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