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56 Courses

Course

Introduction to Excel

  • BasicSkill Level
  • 4.8+
  • 9,384 reviews

Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

Data Manipulation

4 hours

Course

Data Analysis in Excel

  • BasicSkill Level
  • 4.8+
  • 4,823 reviews

Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.

Reporting

3 hours

Course

Data Preparation in Excel

  • BasicSkill Level
  • 4.8+
  • 6,530 reviews

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

Data Preparation

3 hours

Course

Data Visualization in Excel

  • BasicSkill Level
  • 4.8+
  • 4,120 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

Introduction to Power Query in Excel

  • BasicSkill Level
  • 4.8+
  • 2,267 reviews

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Data Preparation

3 hours

Course

Case Study: Analyzing Customer Churn in Excel

  • BasicSkill Level
  • 4.8+
  • 2,778 reviews

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

Reporting

1 hour

Course

Advanced Excel Functions

  • IntermediateSkill Level
  • 4.8+
  • 1,143 reviews

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Data Manipulation

2 hours

Course

Financial Modeling in Excel

  • IntermediateSkill Level
  • 4.8+
  • 977 reviews

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Applied Finance

3 hours

Course

Microsoft Copilot in Excel

  • BasicSkill Level
  • 4.7+
  • 231 reviews

Stop fighting Excel and start talking to it! Use Copilot in Excel to clean data, build charts, and get answers faster.

Artificial Intelligence

3 hours

Course

Power Pivot in Excel

  • BasicSkill Level
  • 4.8+
  • 1,401 reviews

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Data Manipulation

3 hours

Course

Understanding Excel

  • BasicSkill Level
  • 4.8+
  • 1,216 reviews

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Data Manipulation

1 hour

Course

Intermediate Power Query in Excel

  • IntermediateSkill Level
  • 4.7+
  • 1,053 reviews

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Data Preparation

4 hours

Course

Data Validation in Excel

  • BasicSkill Level
  • 4.7+
  • 511 reviews

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

Data Management

2 hours

Course

Working with Microsoft Copilot

  • BasicSkill Level
  • 4.7+
  • 866 reviews

Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.

Artificial Intelligence

2 hours

Course

Introduction to Importing Data in Python

  • BasicSkill Level
  • 4.8+
  • 1,384 reviews

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Data Preparation

3 hours

Course

Connecting Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,104 reviews

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Data Preparation

3 hours

Course

Digital Transformation with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 86 reviews

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

Cloud

2 hours

Course

Math for Finance Professionals

  • BasicSkill Level
  • 4.8+
  • 291 reviews

Learn essential finance math skills with practical Excel exercises and real-world examples.

Applied Finance

3 hours

Course

Fully Automated MLOps

  • IntermediateSkill Level
  • 4.8+
  • 322 reviews

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Machine Learning

4 hours

Course

Communicating Data Insights

  • BasicSkill Level
  • 4.8+
  • 8,594 reviews

Data-driven organizations consistently rely on insights to inspire action and drive change.

Data Literacy

2 hours

Course

Data Storytelling Concepts

  • BasicSkill Level
  • 4.8+
  • 3,950 reviews

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

Data Literacy

2 hours

Course

Data Manipulation with dplyr

  • BasicSkill Level
  • 4.8+
  • 694 reviews

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Data Manipulation

4 hours

Course

Reporting in SQL

  • IntermediateSkill Level
  • 4.8+
  • 781 reviews

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Reporting

4 hours

Course

Introduction to Bioconductor in R

  • IntermediateSkill Level
  • 4.7+
  • 112 reviews

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Probability & Statistics

4 hours

Course

Financial Analytics in Google Sheets

  • BasicSkill Level
  • 4.7+
  • 123 reviews

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Applied Finance

4 hours

Course

Visualizing Time Series Data in R

  • IntermediateSkill Level
  • 4.8+
  • 175 reviews

Learn how to visualize time series in R, then practice with a stock-picking case study.

Data Visualization

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.

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.