Big Data Specialization

(0 reviews)

Harness the Potential of Vast Datasets. Discover the fundamentals of big data with the help of six simple courses.

Key AI Functions:Big Data,Neo4j,Mongodb,Apache Spark

Description

Reviews

Alternative Tools

Description for Big Data Specialization

Gain practical knowledge of big data tools and systems like Hadoop, MapReduce, Spark, Pig, and Hive, without needing prior programming experience.

Learn predictive modeling and graph analytics to address complex issues by following provided code.

Develop skills to communicate with data scientists, ask relevant data-related questions, and perform basic exploration of large datasets.

Apply acquired skills in a final Capstone Project, developed with Splunk, to conduct fundamental big data analyses.

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

Reviews for Big Data Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Interpretable ML Applications: Part 4

Certificate in AI Business Leadership

AI and Deep learning techniques

Sequences, Time Series and Prediction

Alternative Tools for Big Data Specialization

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.

#Data Science #Big Data

MLOps Specialization

Become a machine learning engineer. Enhance your programming abilities with MLOps

#Microsoft Azure #Big Data

ML With Big Data

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.

#Machine Learning Concepts #Knime

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.

#Machine Learning #Machine Learning Pipelines

IBM Data Engineering Professional Certificate

Gain practical skills in relational and NoSQL databases, Big Data tools, and data pipelines for comprehensive data engineering tasks.

#Data Science #Data Analysis

Advanced Data Science with IBM Specialization

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.

#Data Science #Internet Of Things (IOT)

Cloud Computing Specialization

Clouds, distributed systems, and networking. Acquire knowledge and develop distributed and networked systems for large data and clouds.

#Software-Defined Networking #Distributed Computing

Digital Health Specialization

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.

#Digital Health #machine learning