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294 Courses

Course

Market Basket Analysis in R

  • IntermediateSkill Level
  • 4.8+
  • 83 reviews

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Data Manipulation

4 hours

Course

Understanding Data Science

  • BasicSkill Level
  • 4.8+
  • 6,936 reviews

An introduction to data science with no coding involved.

Data Literacy

2 hours

Course

Introduction to Data Literacy

  • BasicSkill Level
  • 4.7+
  • 15,733 reviews

Data is all around us, which makes data literacy an essential life skill.

Data Literacy

2 hours

Course

Data Manipulation with pandas

  • BasicSkill Level
  • 4.8+
  • 13,985 reviews

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Data Manipulation

AI Native

5 hours

Course

Data Preparation in Excel

  • BasicSkill Level
  • 4.8+
  • 6,416 reviews

Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Data Preparation

3 hours

Course

Joining Data with pandas

  • IntermediateSkill Level
  • 4.8+
  • 8,640 reviews

Learn to combine data from multiple tables by joining data together using pandas.

Data Manipulation

4 hours

Course

Data Modeling in Power BI

  • BasicSkill Level
  • 4.8+
  • 6,859 reviews

Learn the key concepts of data modeling on Power BI.

Data Manipulation

3 hours

Course

Data Visualization in Excel

  • BasicSkill Level
  • 4.8+
  • 4,051 reviews

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Data Visualization

3 hours

Course

Data Storytelling Concepts

  • BasicSkill Level
  • 4.8+
  • 3,892 reviews

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Data Literacy

2 hours

Course

Cleaning Data in Python

  • IntermediateSkill Level
  • 4.7+
  • 4,692 reviews

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Data Preparation

4 hours

Course

Analyzing Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,574 reviews

Take your Tableau skills up a notch with advanced analytics and visualizations.

Data Visualization

8 hours

Course

Trend Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,097 reviews

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Data Manipulation

3 hours

Course

Introduction to Importing Data in R

  • BasicSkill Level
  • 4.7+
  • 348 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

3 hours

Course

Financial Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 488 reviews

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Applied Finance

6 hours

Course

Data Storytelling Case Study: College Majors

  • BasicSkill Level
  • 4.8+
  • 814 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

1 hour

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 133 reviews

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 950 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

4 hours

Course

Reshaping Data with tidyr

  • IntermediateSkill Level
  • 4.8+
  • 449 reviews

Transform almost any dataset into a tidy format to make analysis easier.

Data Manipulation

4 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 772 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

Time Series Analysis in R

  • IntermediateSkill Level
  • 4.8+
  • 86 reviews

Learn the core techniques necessary to extract meaningful insights from time series data.

Probability & Statistics

4 hours

Course

Data Validation in Excel

  • BasicSkill Level
  • 4.7+
  • 491 reviews

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Data Management

2 hours

Course

Sentiment Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 424 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

Data Manipulation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 616 reviews

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

Data Manipulation

3 hours

Course

Biomedical Image Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 230 reviews

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Data Manipulation

4 hours

Course

Linear Algebra for Data Science in R

  • IntermediateSkill Level
  • 4.7+
  • 133 reviews

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

Probability & Statistics

4 hours

Course

Dealing With Missing Data in R

  • BasicSkill Level
  • 4.7+
  • 135 reviews

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Data Preparation

4 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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