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
Featured Tools
Learn to load data, create features, and build and evaluate both supervised and unsupervised models in BigQuery for fraud and anomaly detection.
Outlines methods to determine main products, develop streaming pipelines, explore alternatives, and define essential steps for machine learning workflows on Google Cloud.
Develop essential product development artifacts, create a personal portfolio demonstrating product management skills, and assess readiness for the AIPMM Certified Product Manager (CPM) certification exam.
Besides Python programming and data science fundamentals, the course covers supervised machine learning regression, which includes training models for continuous outcomes, error metrics, Elastic Net, LASSO, Ridge regularization, and data science fundamentals for aspiring data scientists.
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsMultimodal AI ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: info@groupify.ai
Aimed Labs