Course
Introduction to Excel
- BasicSkill Level
- 4.8+
- 11,651 reviews
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
Data Manipulation
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272 Courses
Course
Introduction to Power Query in Excel
- BasicSkill Level
- 4.8+
- 2,768 reviews
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Data Preparation
Course
Intermediate DAX in Power BI
- IntermediateSkill Level
- 4.8+
- 4,634 reviews
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Data Manipulation
Course
Introduction to Google Sheets
- BasicSkill Level
- 4.8+
- 2,085 reviews
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Data Preparation
Course
Introduction to Alteryx
- BasicSkill Level
- 4.8+
- 2,672 reviews
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Data Preparation
Course
Case Study: HR Analytics in Power BI
- BasicSkill Level
- 4.8+
- 4,392 reviews
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Data Manipulation
Course
Advanced Excel Functions
- IntermediateSkill Level
- 4.8+
- 1,362 reviews
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.
Data Manipulation
Course
Understanding Excel
- BasicSkill Level
- 4.8+
- 1,623 reviews
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
Data Manipulation
Course
Introduction to Databricks SQL
- IntermediateSkill Level
- 4.7+
- 960 reviews
Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.
Data Engineering
Course
Introduction to Sigma
- BasicSkill Level
- 4.8+
- 587 reviews
Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.
Data Manipulation
Course
Introduction to Spark SQL in Python
- AdvancedSkill Level
- 4.7+
- 237 reviews
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Data Manipulation
Course
Intermediate SQL Querying with AI
- BasicSkill Level
- 4.8+
- 303 reviews
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
Data Manipulation
Course
Calculations in Tableau
- AdvancedSkill Level
- 4.7+
- 765 reviews
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!
Data Visualization
Course
Visualizations in Sigma
- BasicSkill Level
- 4.8+
- 298 reviews
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.
Data Visualization
Course
Calculations in Sigma
- BasicSkill Level
- 4.8+
- 231 reviews
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.
Data Manipulation
Course
Case Study: Supply Chain Analytics in Power BI
- BasicSkill Level
- 4.8+
- 209 reviews
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Data Visualization
Course
Customer Segmentation in Python
- IntermediateSkill Level
- 4.8+
- 179 reviews
Learn how to segment customers in Python.
Data Manipulation
Course
Marketing Analytics in Tableau
- IntermediateSkill Level
- 4.8+
- 98 reviews
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
Data Preparation
Course
Web Scraping in R
- IntermediateSkill Level
- 4.7+
- 102 reviews
Learn how to efficiently collect and download data from any website using R.
Data Preparation
Course
Microsoft Copilot in Excel
- BasicSkill Level
- 4.8+
- 836 reviews
Stop fighting Excel and start talking to it! Use Copilot in Excel to clean data, build charts, and get answers faster.
Artificial Intelligence
Course
Introduction to SQL Server
- BasicSkill Level
- 4.8+
- 456 reviews
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Software Development
Course
Introduction to Regression in R
- IntermediateSkill Level
- 4.8+
- 1,607 reviews
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Probability & Statistics
Course
Sampling in Python
- IntermediateSkill Level
- 4.7+
- 4,142 reviews
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Probability & Statistics
Course
AI for Finance
- BasicSkill Level
- 4.8+
- 580 reviews
Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.
Artificial Intelligence
Course
Financial Modeling in Excel
- IntermediateSkill Level
- 4.8+
- 1,190 reviews
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Applied Finance
Course
Natural Language Processing (NLP) in Python
- IntermediateSkill Level
- 4.8+
- 952 reviews
Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.
Artificial Intelligence
Course
Building a Marketing Dashboard with Claude
- IntermediateSkill Level
- 4.7+
- 140 reviews
Want to spend more time on analysis and less time formatting charts? Build an on-brand interactive marketing dashboard from raw data with Claude Cowork.
Artificial Intelligence
Course
Introduction to Statistics in Google Sheets
- BasicSkill Level
- 4.8+
- 690 reviews
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Probability & Statistics
Course
Advanced AI-Assisted Coding for Developers
- AdvancedSkill Level
- 4.8+
- 378 reviews
Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.
Artificial Intelligence
Course
Introduction to R for Finance
- BasicSkill Level
- 4.7+
- 109 reviews
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
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.
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