IBM Data Science Professional Certificate
Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.
Description for IBM Data Science Professional Certificate
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by IBM
Duration: 5 months at 10 hours a week
Schedule: Flexible
Pricing for IBM Data Science Professional Certificate
Use Cases for IBM Data Science Professional Certificate
FAQs for IBM Data Science Professional Certificate
Reviews for IBM Data Science Professional Certificate
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for IBM Data Science Professional Certificate
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.
CensusGPT is an AI tool that simplifies access to census data, offering tabular data and visual representations in response to user queries. It targets economists, researchers, and individuals interested in demographic analysis, leveraging the TextSQL framework for seamless interaction with datasets.
The AI data analysis tool offers real-time insights and collaboration, integrated with security features, although users may face limitations with complex inquiries and integration requirements.
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.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
Coginiti's AI-Assisted SQL Development boosts SQL development efficiency with instant query assistance and optimization, alongside on-demand learning resources, while facing integration restrictions and an initial learning curve.
Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.
Plexo is an open-source project management tool with customizable features, integrated messaging, sophisticated reporting, and productivity optimization capabilities.
Featured Tools
Learn to evaluate, enhance, and customize chatbots and Generative AI for marketing, customer service, and engagement.
Unlock AI's potential to increase output, optimize workflows, and create content with ease by utilizing cutting-edge AI tools.
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
The course "Building a Generative AI Ready Organization" offers the necessary components for the successful adoption of Generative AI within an organization. This course concentrates on business leaders and other decision-makers who are currently or potentially involved in Generative AI initiatives.
This course teaches aspiring data scientists to train and compare classification models using supervised machine learning techniques, focusing on practical applications and best practices.