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Data Ingestion and Semantic Models with Microsoft Fabric
- BasicSkill Level
- 4.7+
- 389 reviews
Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.
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302 Courses
Course
Data Manipulation in Snowflake
- BasicSkill Level
- 4.8+
- 1,145 reviews
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
Data Manipulation
Course
Intermediate SQL Querying with AI
- BasicSkill Level
- 4.8+
- 289 reviews
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
Data Manipulation
Course
Intermediate Google Sheets
- BasicSkill Level
- 4.8+
- 880 reviews
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Data Preparation
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Google: Enterprise Agents and Use Cases
- BasicSkill Level
- 4.8+
- 182 reviews
Map agent types to your KPIs and explore use cases that solve problems, learn how Gemini Enterprise empowers you to build and orchestrate the right agents.
Cloud
Course
Data Fluency
- BasicSkill Level
- 4.8+
- 361 reviews
Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.
Data Literacy
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Foundations of Probability in R
- BasicSkill Level
- 4.8+
- 495 reviews
In this course, youll learn about the concepts of random variables, distributions, and conditioning.
Probability & Statistics
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Data Storytelling Case Study: Green Businesses
- BasicSkill Level
- 4.8+
- 928 reviews
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Data Literacy
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Case Study: Analyzing Customer Churn in Tableau
- BasicSkill Level
- 4.8+
- 1,074 reviews
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Data Visualization
Course
Math for Finance Professionals
- BasicSkill Level
- 4.8+
- 330 reviews
Learn essential finance math skills with practical Excel exercises and real-world examples.
Applied Finance
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AI-Assisted Travel Planning
- BasicSkill Level
- 4.8+
- 551 reviews
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Artificial Intelligence
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Data Manipulation in Alteryx
- BasicSkill Level
- 4.8+
- 710 reviews
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Data Manipulation
Course
Data Pipeline Automation in Snowflake
- BasicSkill Level
- 4.8+
- 200 reviews
Load, automate, and optimize data pipelines in Snowflake using COPY INTO, Snowpipe, streams, tasks, dynamic tables, and query performance tools.
Data Engineering
Course
Create Engaging Video with Google Vids
- BasicSkill Level
- 4.8+
- 389 reviews
Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.
Cloud
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Gemini in Google Drive
- BasicSkill Level
- 4.8+
- 306 reviews
Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.
Artificial Intelligence
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Intermediate R for Finance
- BasicSkill Level
- 4.8+
- 44 reviews
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Applied Finance
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Understanding Digital Transformation
- BasicSkill Level
- 4.8+
- 634 reviews
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Data Literacy
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Gemini in Google Meet
- BasicSkill Level
- 4.8+
- 426 reviews
Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.
Artificial Intelligence
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Snowflake Management, Governance & Collaboration
- BasicSkill Level
- 4.8+
- 199 reviews
Learn to secure, govern, and manage Snowflake at scale. Cover RBAC, data masking, cost monitoring, Time Travel, and secure data sharing.
Data Management
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Transform and Analyze Data with Microsoft Fabric
- BasicSkill Level
- 4.7+
- 264 reviews
Learn how to transform and analyze data within your Microsoft Fabric account
Other
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Building a Go-To-Market Strategy
- BasicSkill Level
- 4.7+
- 453 reviews
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
Artificial Intelligence
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Gen AI: Navigate the Landscape
- BasicSkill Level
- 4.8+
- 202 reviews
You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
Cloud
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Data Strategy
- BasicSkill Level
- 4.7+
- 1,820 reviews
Master strategic data management for business excellence.
Data Management
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Power BI for End Users
- BasicSkill Level
- 4.7+
- 375 reviews
Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
Reporting
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Demystifying Decision Science
- BasicSkill Level
- 4.8+
- 311 reviews
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
Data Literacy
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Visualization Best Practices in R
- BasicSkill Level
- 4.8+
- 354 reviews
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Data Visualization
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Introduction to Financial Concepts in Python
- BasicSkill Level
- 4.8+
- 467 reviews
Using Python and NumPy, learn the most fundamental financial concepts.
Applied Finance
Course
Case Study: Analyzing Job Market Data in Power BI
- BasicSkill Level
- 4.8+
- 357 reviews
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
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Introduction to Data Visualization with Plotly in Python
- BasicSkill Level
- 4.8+
- 516 reviews
Create interactive data visualizations in Python using Plotly.
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Corporate Finance Fundamentals
- BasicSkill Level
- 4.8+
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Learn key financial concepts such as capital investment, WACC, and shareholder value.
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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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