Course
Math for Finance Professionals
- BasicSkill Level
- 4.8+
- 498
Learn essential finance math skills with practical Excel exercises and real-world examples.
Applied Finance
Data, AI, and Cloud Courses
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Course
Visualizations in Sigma
- BasicSkill Level
- 4.9+
- 488
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.
Data Visualization
Course
Financial Analytics in Google Sheets
- BasicSkill Level
- 4.7+
- 480
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Applied Finance
Course
Dealing With Missing Data in R
- BasicSkill Level
- 4.8+
- 478
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.
Data Preparation
Course
Introduction to GCP
- BasicSkill Level
- 4.8+
- 476
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Cloud
Course
Case Study: Supply Chain Analytics in Power BI
- BasicSkill Level
- 4.8+
- 471
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
Data Manipulation with data.table in R
- BasicSkill Level
- 4.7+
- 470
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Data Manipulation
Course
Streaming Concepts
- BasicSkill Level
- 4.8+
- 463
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Data Engineering
Course
Introduction to Julia
- BasicSkill Level
- 4.9+
- 456
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Software Development
Course
Visualization Best Practices in R
- BasicSkill Level
- 4.9+
- 453
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Data Visualization
Course
Conquering Data Bias
- BasicSkill Level
- 4.8+
- 444
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Data Management
Course
Gen AI: Beyond the Chatbot
- BasicSkill Level
- 4.8+
- 438
This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.
Cloud
Course
Corporate Finance Fundamentals
- BasicSkill Level
- 4.8+
- 435
Learn key financial concepts such as capital investment, WACC, and shareholder value.
Applied Finance
Course
Communicating with Data in the Tidyverse
- BasicSkill Level
- 4.8+
- 429
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.
Data Visualization
Course
Gemini in Google Docs
- BasicSkill Level
- 4.9+
- 426
Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.
Artificial Intelligence
Course
AI-Assisted Travel Planning
- BasicSkill Level
- 4.8+
- 424
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Artificial Intelligence
Course
Recommending Skincare Products
- BasicSkill Level
- 4.8+
- 423
Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.
Artificial Intelligence
Course
Understanding Digital Transformation
- BasicSkill Level
- 4.8+
- 418
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Data Literacy
Course
Case Study: Analyzing Job Market Data in Tableau
- BasicSkill Level
- 4.8+
- 412
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
Data Visualization
Course
Gemini in Google Sheets
- BasicSkill Level
- 4.9+
- 411
Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.
Artificial Intelligence
Course
Introduction to AI Apps in Sigma
- BasicSkill Level
- 4.9+
- 401
Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.
Reporting
Course
Transform and Analyze Data with Microsoft Fabric
- BasicSkill Level
- 4.8+
- 401
Learn how to transform and analyze data within your Microsoft Fabric account
Other
Course
Data Modeling in Sigma
- BasicSkill Level
- 4.9+
- 396
Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.
Reporting
Course
AI for Sales
- BasicSkill Level
- 4.7+
- 384
Tackle your sales work in an AI-first way! Learn to automate prospecting, draft personalized emails, and streamline CRM tasks using AI.
Artificial Intelligence
Course
Gemini in Google Slides
- BasicSkill Level
- 4.8+
- 375
Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.
Artificial Intelligence
Course
Case Study: Analyzing Sales Data in Alteryx
- BasicSkill Level
- 4.8+
- 374
Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.
Data Preparation
Course
Intermediate R for Finance
- BasicSkill Level
- 4.8+
- 369
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Applied Finance
Course
Gemini in Google Drive
- BasicSkill Level
- 4.9+
- 368
Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.
Artificial Intelligence
Course
Calculations in Sigma
- BasicSkill Level
- 4.9+
- 362
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.
Data Manipulation
Course
Create Engaging Video with Google Vids
- BasicSkill Level
- 4.9+
- 356
Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.
Cloud
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
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