Practical Data Science with MATLAB Specialization
The goal of this course is to provide professionals with the necessary data science abilities in MATLAB so that they can carry out practical activities in businesses that rely heavily on data without having to learn extensive programming.
Description for Practical Data Science with MATLAB Specialization
-
Industry-Relevant Skills: Directs on sought-after skills in data visualization, analysis, and modeling, essential to sectors such as healthcare, automotive, and technology.
-
MATLAB for Data Science: MATLAB, a favored tool in engineering and research, with complimentary access granted throughout the specialization.
-
Prerequisites: Requires subject expertise and a fundamental comprehension of statistics, encompassing topics such as histograms, means, and curve fitting.
-
Efficient Learning Path: Provides an expedited approach to acquiring proficiency in practical data science activities without requiring much programming or statistical expertise.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by MathWorks
Duration: 2 months at 4 hours a week (approximately)
Schedule: Project-based
Pricing for Practical Data Science with MATLAB Specialization
Use Cases for Practical Data Science with MATLAB Specialization
FAQs for Practical Data Science with MATLAB Specialization
Reviews for Practical Data Science with MATLAB Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Practical Data Science with MATLAB Specialization
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.
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.
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.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
The AI Task Manager simplifies project management through features like project cost calculation, automated scheduling, data analysis, and user-friendly interface, enabling efficient planning and timely project completion.
Featured Tools
Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.
Enhance your management of information technology to resolve business challenges.
The course concentrates on the development of an HTML framework for a Plotly Dash dashboard that includes interactive scatter plots, bar charts, radio buttons, and dropdowns. It emphasizes the evaluation of model performance and the visualization of dimensionality reduction outcomes.
The course encompasses the following topics: the development of a text processing pipeline, the comprehension of Naive Bayes classifier theory, and the assessment of the efficacy of classification models following training.
Become proficient in the utilization of Spring AI to facilitate the integration of sophisticated AI models into Java-based applications, with an emphasis on generative capabilities and prompt engineering.