Course
Introduction to Excel
- BasicSkill Level
- 4.8+
- 22.6K
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
Data Manipulation
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.54 Courses
Course
Data Analysis in Excel
- BasicSkill Level
- 4.8+
- 13K
Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.
Reporting
Course
Data Preparation in Excel
- BasicSkill Level
- 4.8+
- 8K
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.
Data Preparation
Course
Data Visualization in Excel
- BasicSkill Level
- 4.8+
- 5.6K
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
Course
Introduction to Power Query in Excel
- BasicSkill Level
- 4.8+
- 4.7K
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Data Preparation
Course
Case Study: Analyzing Customer Churn in Excel
- BasicSkill Level
- 4.8+
- 3.3K
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
Reporting
Course
Advanced Excel Functions
- IntermediateSkill Level
- 4.9+
- 2.7K
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.
Data Manipulation
Course
Financial Modeling in Excel
- IntermediateSkill Level
- 4.9+
- 2.1K
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Applied Finance
Course
Power Pivot in Excel
- BasicSkill Level
- 4.8+
- 1.7K
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Data Manipulation
Course
Understanding Excel
- BasicSkill Level
- 4.8+
- 1.5K
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
Data Manipulation
Course
Intermediate Power Query in Excel
- IntermediateSkill Level
- 4.8+
- 1.5K
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
Data Preparation
Course
Microsoft Copilot in Excel
- BasicSkill Level
- 4.8+
- 1.2K
Stop fighting Excel and start talking to it! Use Copilot in Excel to clean data, build charts, and get answers faster.
Artificial Intelligence
Course
Data Validation in Excel
- BasicSkill Level
- 4.8+
- 817
Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.
Data Management
Course
Case Study: Net Revenue Management in Excel
- IntermediateSkill Level
- 4.8+
- 513
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.
Applied Finance
Course
Introduction to Importing Data in Python
- BasicSkill Level
- 4.8+
- 5.2K
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Data Preparation
Course
Working with Microsoft Copilot
- BasicSkill Level
- 4.7+
- 4.7K
Learn to work with Microsoft Copilot. Master prompting, navigate Microsoft 365 apps, and build custom agents.
Artificial Intelligence
Course
Intermediate Importing Data in Python
- BasicSkill Level
- 4.8+
- 4.3K
Improve your Python data importing skills and learn to work with web and API data.
Data Preparation
Course
Connecting Data in Tableau
- BasicSkill Level
- 4.9+
- 856
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Data Preparation
Course
Importing and Managing Financial Data in Python
- IntermediateSkill Level
- 4.8+
- 519
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Applied Finance
Course
Math for Finance Professionals
- BasicSkill Level
- 4.8+
- 494
Learn essential finance math skills with practical Excel exercises and real-world examples.
Applied Finance
Course
Fully Automated MLOps
- IntermediateSkill Level
- 4.8+
- 382
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
Machine Learning
Course
Digital Transformation with Google Cloud
- BasicSkill Level
- 4.9+
- 348
This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.
Cloud
Course
Data Storytelling Concepts
- BasicSkill Level
- 4.8+
- 4.6K
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Data Literacy
Course
Intermediate Data Visualization with ggplot2
- IntermediateSkill Level
- 4.8+
- 1.2K
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Data Visualization
Course
Reporting in SQL
- IntermediateSkill Level
- 4.9+
- 943
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
Reporting
Course
Introduction to Bioconductor in R
- IntermediateSkill Level
- 4.8+
- 552
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Probability & Statistics
Course
Financial Analytics in Google Sheets
- BasicSkill Level
- 4.8+
- 480
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Applied Finance
Course
Introduction to Julia
- BasicSkill Level
- 4.9+
- 458
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Software Development
Course
Financial Modeling in Google Sheets
- IntermediateSkill Level
- 4.8+
- 442
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Applied Finance
Course
Visualizing Time Series Data in R
- IntermediateSkill Level
- 4.8+
- 423
Learn how to visualize time series in R, then practice with a stock-picking case study.
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.
Grow your data skills with DataCamp for Mobile
Make progress on the go with our mobile courses and daily 5-minute coding challenges.