Description for A Crash Course in Data Science
Features of the Course:
Fundamentals of Data Science and Big Data: The course encompasses fundamental terminology and concepts in data science and big data, elucidating their significance in thriving businesses.
Targeted for Non-Technical Managers: This course is tailored for individuals who will oversee data scientists, prioritizing practical knowledge rather than technical specifics.
Focused, Time-Efficient Learning: This course is designed for accelerated learning, providing a thorough overview in under one week while maintaining vital content.
Convenience-Oriented Design: The course is designed for convenience and efficiency, emphasizing essential ideas to keep learners motivated and informed.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Johns Hopkins University
Duration: 6 hours (approximately)
Schedule: Flexible
Pricing for A Crash Course in Data Science
Use Cases for A Crash Course in Data Science
FAQs for A Crash Course in Data Science
Reviews for A Crash Course in Data Science
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for A Crash Course in Data Science
The AI tool specializes in sentiment analysis, competitive analysis, custom analytics, Amazon marketplace analysis, review export, comprehensive help resources, and social media presence to meet diverse user needs effectively.
The AI tool enables organizations to create personalized multi-channel experiences for their clientele, featuring audience segmentation and a user-friendly platform with a complimentary 14-day trial and enterprise pricing options.
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 provides comprehensive support for task management in Scrum and Kanban, offering efficient planning tools and multi-language support, although it may have a learning curve and limited integrations.
Utilizing AI technology, this tool streamlines statistical analysis tasks, automates calculations, supports various data formats, and provides visualization tools for efficient and precise scientific research.
Genei is an AI-driven research and summarization tool designed to enhance writing and research processes for professionals, featuring keyword extraction, project folders, AI-powered summarization, and a 14-day free trial with high user satisfaction.
The AI generator, drawing from various sources, facilitates user interaction to produce content, making it beneficial for startups and individuals seeking to explore and enhance their knowledge across different subjects.
The tool employs AI to assist users in understanding intricate documents, offering features such as content analysis, summarization, and language analysis, with plans for further enhancements.
The AI tool utilizes advanced technology to streamline product research and feedback analysis, offering quick insights, collaborative opportunities, integration options, a user-friendly interface, a free tier option, and team collaboration features.
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.
Featured Tools
Gain expertise in Bayesian statistics, Bayesian inference, and R programming through comprehensive courses, active learning, and a culminating real-world data analysis project.
Begin Your Professional Journey in Self-Driving Vehicles. Be at the vanguard of the autonomous driving industry.
The course highlights the curriculum focused on statistics and machine learning, covering descriptive statistics, data clustering, predictive model development, and analysis capability development.
In order to help students become more proficient programmers in a variety of languages, this course presents fundamental programming concepts with a focus on functional programming and design principles.
Gain expertise in leveraging machine learning for marketing transformation, applying unsupervised models like PCA and K-Means, understanding the theory behind k-means clustering and PCA, and determining the optimal number of clusters using the elbow method.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI Tools
Aimed Labs