Data Science-Unsupervised Machine Learning Using R

Data Science-Unsupervised Machine Learning Using R Udemy Course

Data Science-Unsupervised Machine Learning Using R Course Created by ExcelR Solutions.

Data Science-Unsupervised Machine Learning Using R has 3.4 rating out of 5 based on 54 students. Currently this course has 947 students. Course langwage is English.

Data Science-Unsupervised Machine Learning Using R Course Description

Data Science with R Unsupervised Machine Learning is designed to cover most of the capabilities of R from an analytics and data science perspective.

As part of this course, we introduce a series of topics under this umbrella and provide real-world use cases for the same topics.

Authenticate:

Six Sigma Master Black Belt Certification

Project Management Professional (PMP)

Agile Certified Practitioner(PMI - ACP)

Risk Management Specialist (PMI-RMP)

Certified Scrum Master

Agile Project Management – ​​Foundations and Practitioners at APMG

Bharani Kumar is a graduate of top institutions such as IIT and ISB with over 15 years of professional experience and is a data scientist, project manager, service delivery manager, process consultant, delivery lead at various multinational companies such as HSBC, ITC, Infosys and Deloitte. etc

He has trained over 1,500 professionals worldwide in Business Analytics, Agile, PMP, Lean Six Sigma, Business Analytics and more.

He has 8 years of extensive experience in corporate, open house and online education.

He is a thorough implementer with skills in business analytics and agile projects.

He worked in a shipping management department focused on maximizing the expression of business value.

He has extensive experience leading teams and multiple projects.

Quality Management: A thorough implementer with quality management capabilities focused on maximizing customer satisfaction, process compliance, and expression of business value. Comprehensive experience leading teams and multiple projects. A results-oriented leader with expertise in devising strategies aimed at improving overall organizational growth, ongoing operational profitability, and business performance.

Project Management: Project management professionals involved in the initiation, planning, execution, monitoring, and control and closure phases of project activities. Devise and implement project plans within pre-set budgets and deadlines, and manage projects for successful delivery of project deliverables and achievement of project goals

Training: He has nearly 8 years of teaching experience and has conducted several trainings worldwide in PMP, Agile, Six Sigma, Business Analytics and Process Excellence. He understands the individual differences of his attendees, has excellent teaching skills and is considered one of the best trainers in his area of ​​expertise.

Data Science-Unsupervised Machine Learning Using R Course for

• All the IT professionals, whose experience ranges from '0' onwards are eligible to take this session. Especially professionals from data analysis, data warehouse, data mining, business intelligence, reporting, data science, etc, will naturally fit in well to take this course.
• This course is a part of series of courses on Data Science and care has been taken to ensure that each module is complete in itself; participants seeking to make a career in data analytics

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