Description for Data Science: Statistics & ML Specialization
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Johns Hopkins University
Duration: 3 months at 10 hours a week
Schedule: Flexible
Pricing for Data Science: Statistics & ML Specialization
Use Cases for Data Science: Statistics & ML Specialization
FAQs for Data Science: Statistics & ML Specialization
Reviews for Data Science: Statistics & ML Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Data Science: Statistics & ML Specialization
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
The AI tool is an open-source platform that simplifies AI agent development with features like Forge Template and Benchmarking Tool, enhancing accessibility for users of all technical levels.
The AI tool enables users to create interactive voice applications effortlessly through a visual interface, but may have limitations in complexity and customization compared to coding-based approaches.
The AI platform offers exceptional integration with OpenAI, personalized user dashboard, versatile SDKs, and a thriving marketplace for AI components, while also providing cloud-based accessibility and community support, with potential drawbacks including a learning curve and dependence on OpenAI API.
Plexo is an open-source project management tool with customizable features, integrated messaging, sophisticated reporting, and productivity optimization capabilities.
GPTBots offers AI-driven chatbot tools with robust NLP, seamless integration, customization options, and extensive analytics, enhancing user engagement and providing scalability, albeit with requirements for technical expertise and potential integration complexity.
AI-Signals, driven by AI algorithms, offers precise trading insights including institutional concepts, automated analysis, and access to a VIP Discord community, while potential intermittent errors and subscription requirements may be considerations.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Superflows integrates an AI copilot into software products, offering in-app support via conversational messaging to streamline user interactions, enhance productivity, and improve overall user experience, albeit requiring thorough API documentation and initial setup investment.
OSS Insight leverages AI-generated SQL to extract insights from GitHub event data, catering to various user roles while offering real-time updates and interactive visualization, yet requiring proficiency adjustment for novice users and being constrained to public GitHub data.
Featured Tools
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.
Clouds, distributed systems, and networking. Acquire knowledge and develop distributed and networked systems for large data and clouds.
Develop and evaluate a neural network that can identify handwritten numerals, implement One Hot Encoding for classification, and evaluate the efficacy of the model through practical exercises.
Understand how AI improves decision-making accuracy, automates processes for increased efficiency, and impacts your industry to maximize benefits and avoid pitfalls.
