Course
Introduction to R for Finance
- BasicSkill Level
- 4.8+
- 814
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Applied Finance
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.279 Courses
Course
Microsoft Copilot in PowerPoint
- BasicSkill Level
- 4.8+
- 813
Build PowerPoint presentations with Microsoft Copilot. Turn documents into slides, generate visuals, and speaker notes.
Artificial Intelligence
Course
Data Validation in Excel
- BasicSkill Level
- 4.8+
- 789
Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.
Data Management
Course
Pivot Tables in Google Sheets
- BasicSkill Level
- 4.8+
- 783
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
Data Manipulation
Course
AI for Marketing
- BasicSkill Level
- 4.7+
- 771
Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.
Artificial Intelligence
Course
Introduction to Azure
- BasicSkill Level
- 4.8+
- 769
Explore Azure services like Compute, Storage, and Automation, with hands-on experience.
Cloud
Course
Data Transformation in Alteryx
- BasicSkill Level
- 4.8+
- 757
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Data Manipulation
Course
Forecasting in R
- BasicSkill Level
- 4.9+
- 723
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Probability & Statistics
Course
Data Manipulation in Alteryx
- BasicSkill Level
- 4.8+
- 711
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Data Manipulation
Course
Introduction to Google Workspace with Gemini
- BasicSkill Level
- 4.8+
- 700
You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
Artificial Intelligence
Course
Understanding GDPR
- BasicSkill Level
- 4.8+
- 677
Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.
Data Literacy
Course
Introduction to Financial Concepts in Python
- BasicSkill Level
- 4.9+
- 675
Using Python and NumPy, learn the most fundamental financial concepts.
Applied Finance
Course
Intermediate Google Sheets
- BasicSkill Level
- 4.8+
- 673
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Data Preparation
Course
Foundations of Probability in R
- BasicSkill Level
- 4.8+
- 668
In this course, youll learn about the concepts of random variables, distributions, and conditioning.
Probability & Statistics
Course
Data Visualization in Google Sheets
- BasicSkill Level
- 4.8+
- 660
Learn the fundamentals of data visualization using Google Sheets.
Data Visualization
Course
Generate a Study Guide
- BasicSkill Level
- 4.8+
- 657
Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.
Artificial Intelligence
Course
Data Visualization in Databricks
- BasicSkill Level
- 4.8+
- 656
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.
Data Visualization
Course
AI for Consulting
- BasicSkill Level
- 4.9+
- 642
Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.
Artificial Intelligence
Course
Intermediate SQL Querying with AI
- BasicSkill Level
- 4.9+
- 621
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
Data Manipulation
Course
Building a Go-To-Market Strategy
- BasicSkill Level
- 4.8+
- 606
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
Artificial Intelligence
Course
Introduction to Oracle SQL
- BasicSkill Level
- 4.8+
- 598
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
Data Manipulation
Course
Introduction to Polars
- BasicSkill Level
- 4.8+
- 589
Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.
Data Manipulation
Course
Machine Learning with Tree-Based Models in R
- BasicSkill Level
- 4.9+
- 573
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
Machine Learning
Course
Demystifying Decision Science
- BasicSkill Level
- 4.8+
- 567
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
Data Literacy
Artificial Intelligence
Course
Introduction to Predictive Analytics in Python
- BasicSkill Level
- 4.8+
- 558
In this course youll learn to use and present logistic regression models for making predictions.
Machine Learning
Course
Data Ingestion and Semantic Models with Microsoft Fabric
- BasicSkill Level
- 4.8+
- 557
Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.
Other
Course
AI for Human Resources
- BasicSkill Level
- 4.9+
- 553
Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.
Artificial Intelligence
Course
Case Study: Analyzing Job Market Data in Power BI
- BasicSkill Level
- 4.8+
- 549
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Data Manipulation
Course
Power BI for End Users
- BasicSkill Level
- 4.8+
- 504
Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
Reporting
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.