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AI for Consulting
- BasicSkill Level
- 4.8+
- 240 reviews
Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.
Artificial Intelligence
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528 Courses
Course
AI for Human Resources
- BasicSkill Level
- 4.8+
- 224 reviews
Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.
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Explainable AI in Python
- IntermediateSkill Level
- 4.8+
- 1,144 reviews
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
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Advanced AI-Assisted Coding for Developers
- AdvancedSkill Level
- 4.8+
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Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.
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Deploying AI into Production with FastAPI
- AdvancedSkill Level
- 4.8+
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Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
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AI for Sales
- BasicSkill Level
- 4.7+
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Google: Introduction to AI Agents
- BasicSkill Level
- 4.8+
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Gain an overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems.
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- BasicSkill Level
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Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.
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- IntermediateSkill Level
- 4.8+
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Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.
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Introduction to NoSQL
- BasicSkill Level
- 4.8+
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Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
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Gen AI Agents: Transform Your Organization
- BasicSkill Level
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This course explores how organizations can use custom gen AI agents to help tackle specific business challenges.
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- BasicSkill Level
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You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.
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Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
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Intermediate SQL Querying with AI
- BasicSkill Level
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Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.
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- IntermediateSkill Level
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In this course, youll learn the basics of relational databases and how to interact with them.
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This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.
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Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.
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You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Building AI Agents with Snowflake
- IntermediateSkill Level
- 4.8+
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Build autonomous Cortex Agents in Snowflake that query structured and unstructured data, then deploy and monitor them.
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Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
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- BasicSkill Level
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Using Python and NumPy, learn the most fundamental financial concepts.
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Interact with a customized GPT and use your prompting skills to plan and open your restaurant.
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Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.
Reporting
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Discover how to use the income statement and balance sheet in Power BI
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Build AI teams that work together, automate workflows, and generate content with CrewAI.
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Author Dags with the TaskFlow API, asset-based scheduling, and deferrable sensors, and run an end-to-end SQL ETL pipeline with quality checks.
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Build conversational AI apps that answer questions from your data with Cortex Search and Cortex Analyst on Snowflake.
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- IntermediateSkill Level
- 4.6+
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Build generative AI apps on Snowflake with Cortex LLM functions, prompt engineering, and fine-tuning.
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Efficient AI Model Training with PyTorch
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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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