Description for Big Data Specialization
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of California San Diego
Duration: 3 months at 10 hours a week
Schedule: Flexible
Pricing for Big Data Specialization
Use Cases for Big Data Specialization
FAQs for Big Data Specialization
Reviews for Big Data Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Big Data Specialization
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.
Become a machine learning engineer. Enhance your programming abilities with MLOps
This course teaches how to analyze, leverage, and investigate data using machine learning methodologies, providing tools and algorithms to develop and scale models for big data challenges.
Gain comprehensive knowledge of ML pipelines, model persistence, Spark applications, data engineering, and hands-on experience with Spark SQL and SparkML for regression, classification, and clustering.
Gain practical skills in relational and NoSQL databases, Big Data tools, and data pipelines for comprehensive data engineering tasks.
Proficient in the fields of artificial intelligence, machine learning, and data science. Become an IBM-approved Expert in Artificial Intelligence, Machine Learning, and Data Science.
Clouds, distributed systems, and networking. Acquire knowledge and develop distributed and networked systems for large data and clouds.
Explore the multidisciplinary field of digital health, covering technologies like mobile apps, wearables, AI, and big data, emphasizing their role in public health and healthcare systems, and prepare learners to design, implement, and evaluate digital health interventions.
Convert Data into Value. In four industry-relevant courses, identify and analyze key metrics to drive business process change.
Featured Tools
Enhance your master's application, prepare for a software development career, and develop robust programming skills by enrolling in a four-course specialization that includes increasingly intricate applied learning projects.
Apply mathematical concepts to real-world data, derive PCA from a projection perspective, comprehend orthogonal projections, and master Principal Component Analysis.
Gain a comprehensive understanding of AI applications, concepts, technological progression, software architecture, and deployment considerations across various environments.
Data Engineering on Google Cloud. Embark on a vocation in data engineering. Provide business value through the application of machine learning and big data.
Learn to understand and implement Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs) using Keras with TensorFlow 2.0, and evaluate their performance and generalization.
Compare & Review AI Tool Directory Best AI Course Marketplace
Aimed Labs