Course
Bond Valuation and Analysis in Python
- BasicSkill Level
- 4.8+
- 67 reviews
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Applied Finance
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299 Courses
Course
Select a Google Cloud Database for Your Applications
- BasicSkill Level
- 4.6+
- 14 reviews
In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud.
Cloud
Course
Google Workspace End User: Gmail
- BasicSkill Level
- 4.7+
- 15 reviews
Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.
Cloud
Course
Google: Human-Centered AI
- BasicSkill Level
- 5
- 19 reviews
Learn human-centric AI orchestration. Distinguish between augmentation and automation, and balance machine efficiency with human intuition.
Cloud
Course
DataLab with SQL
- BasicSkill Level
- 4.8+
- 42 reviews
Elevate your analysis with this hands-on course using SQL with DataLab workbooks.
Reporting
Course
Life Insurance Products Valuation in R
- BasicSkill Level
- 4.8+
- 47 reviews
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Applied Finance
Course
Logging and Monitoring in Google Cloud
- BasicSkill Level
- 4.9+
- 16 reviews
This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring.
Cloud
Course
Google Workspace End User: Use Functions, Formulas, and Charts in Google Sheets
- BasicSkill Level
- 4.6+
- 13 reviews
Analyze data with functions, visualize it with charts, and master search, validation, and formatting in Google Sheets.
Cloud
Course
Google: Deploy Your First Agent
- BasicSkill Level
- 5
- 9 reviews
Deploy ADK agents to production using Vertex AI Agent Engine and Cloud Run. Add persistent cross-session memory with Memory Bank.
Cloud
Course
Observability in Google Cloud
- BasicSkill Level
- 4.9+
- 15 reviews
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
Cloud
Course
Intermediate Julia
- BasicSkill Level
- 4.7+
- 79 reviews
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Software Development
Course
Intermediate Predictive Analytics in Python
- BasicSkill Level
- 4.7+
- 72 reviews
Learn how to prepare and organize your data for predictive analytics.
Machine Learning
Course
Google Workspace End User: Google Sheets - Advanced Topics
- BasicSkill Level
- 4.8+
- 11 reviews
Explore advanced Google Sheets features including conditional formatting, complex formulas, data validation, and referencing.
Cloud
Course
Data Manipulation in Julia
- BasicSkill Level
- 4.7+
- 39 reviews
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Data Manipulation
Course
Visualizing Big Data with Trelliscope in R
- BasicSkill Level
- 4.7+
- 40 reviews
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Data Visualization
Course
Google Workspace End User: Google Calendar
- BasicSkill Level
- 4.8+
- 12 reviews
Learn to create and manage events, schedule meetings, share calendars, and use tasks and reminders to stay organized.
Cloud
Course
Google Workspace End User: Google Drive
- BasicSkill Level
- 4.9+
- 10 reviews
Learn to upload, organize, share, and manage files and folders in Google Drive from any device.
Cloud
Course
Google Workspace End User: Google Slides
- BasicSkill Level
- 4.9+
- 11 reviews
With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.
Cloud
Course
Google: Optimize Agent Behavior
- BasicSkill Level
- 4.8+
- 10 reviews
Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.
Cloud
Course
Google Workspace End User: Google Docs
- BasicSkill Level
- 4.8+
- 12 reviews
Learn to create, format, and collaborate on documents in real time using Google Docs, stored securely in the cloud.
Cloud
Course
Google Workspace End User: Google Sheets
- BasicSkill Level
- 4.8+
- 10 reviews
Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.
Cloud
Course
Google Workspace End User: Google Meet
- BasicSkill Level
- 4.7+
- 10 reviews
Learn to schedule, host, and manage video meetings in Google Meet, including screen sharing and collaboration tools.
Cloud
Course
Google Workspace End User: Google Chat
- BasicSkill Level
- 4.6+
- 12 reviews
Learn to message individuals and groups, collaborate in spaces, and integrate Google Chat with other Workspace apps.
Cloud
Course
Google: Add Agent Capabilities With Tools
- BasicSkill Level
- 4.8+
- 8 reviews
Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.
Cloud
Course
Google: Manage Agent Memory and State
- BasicSkill Level
- 5
- 9 reviews
Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.
Cloud
Course
Probability Puzzles in R
- BasicSkill Level
- 4.8+
- 66 reviews
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Probability & Statistics
Course
Boost Productivity with Gemini in BigQuery
- BasicSkill Level
- 4.8+
- 7 reviews
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.
Cloud
Course
Case Studies: Network Analysis in R
- BasicSkill Level
- 4.7+
- 44 reviews
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Probability & Statistics
Course
Case Study: Sales Analytics with Databricks Genie
- BasicSkill Level
- 5
- 1 review
Build a Databricks Genie space end-to-end: descriptions, synonyms, instructions, table relationships, example queries, monitoring, and benchmarks.
Data Engineering
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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