The Data Science and Machine Learning with R - Level 3

Beginner to Intermediate 0 (0 Ratings)
ACCREDITED BY IAP
The Data Science and Machine Learning with R - Level 3
£49.00
Course Includes:
  • Accredited By: IAP
  • Course Level: Beginner to Intermediate
  • Course Duration: 365 Days
  • Number of Modules: 15
  • Guided Learning Hours: 27
  • Course Certificate: At completion
  • Course Material:
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Key Features

Asynchronous Learning

Easy Navigation

Support by Phone, Live Chat and Email

FREE Student ID Card

FREE Printed Certificates

42 Hrs Instructor-led Training
28 Hrs Self-paced Videos
56 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance
What Will I Learn?
  • Understand data cleaning, processing and manipulation
  • Learn Data and File Management in R
  • Learn how to write complex R programmes for practical industry scenarios
  • Give a head start for individuals who want to start a career in the field
Description

Data science is a field of study that combines programming skills with the knowledge of mathematics and statistics to extract insights from data. It’s an interdisciplinary field that uses scientific methods, processes, algorithms and systems to convert insights from unstructured data to structured knowledge, that can help them make decisions and take action across a broad range of application domains. 

Data science can be defined as a blend of mathematics; business acumen, tools, algorithms and machine learning techniques. All of these help us give meaning to raw data which can be of major use in the formation of big business decisions.

This course will facilitate your growth of data skills and enhance your career. In this non-technical course, you’ll be introduced to everything you need to know about this fast-growing and exciting field. Learn real-world applications and gain understanding through quick non-coding exercises.

Why You Should Learn at Next Learn Academy?

The Data Science and Machine Learning with R - Level 3 Course is brought to you by Next Learn Academy. We are a leading online education provider for several accredited organisations, and provide learners the opportunity to take this IAP course. At Next Learn Academy, we give our fullest attention to the learners’ needs and ensure they have the necessary information required to proceed with the training.  

Our priority is on the advancement of knowledge and skills, we are bound to facilitate everything required to confirm a top-notch education service. We vouch for our learners an exclusive learning experience by paying close attention to each of their unique requirements and coming up with solutions every time. We provide them with state-of-the-art facilities using the latest technology.

 

About the Tutor

Juan Galvan is a visionary marketer, and digital entrepreneur. He has been effective in enabling digital businesses to reach the next level of success. He believes in continued education and wants to share his extensive knowledge and experience as a coach, consultant, and strategist with others. He aims to enable learners to expand their skillset in digital marketing, web development, programming, and e-commerce. Juan Galvan will guide you to make critical business decisions, develop unique ways to deliver products in the marketplace, and have clarity and confidence in your business.

  • There are no pre-requisites to follow this course
  • Learners should be over the age of 16
  • Individuals who want to make a career in data science
  • Individuals who want to learn about data science

This is a knowledge-based course, and thus, will contain no method of assessment. 

Upon the successful completion of the course, learners will be awarded an accredited ‘Certificate of Completion’ for ‘Data Science and Machine Learning with R - Level 3’ by IAP.

On successful completion of this course, learners will have the knowledge and skills to enter the relevant job market, with the confidence to explore a wide range of industry-related professions. You can study related courses that will open the door to new and exciting opportunities and enhance your expertise in this subject, and add this as a skillset on your resume. Your skills will be recognised by top employers and organisations that will enable you to land a generous-paying job, gain plenty of benefits, and a wide array of opportunities. Given below are job titles you can compete for.

  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Consultant
     
  • There are no pre-requisites to follow this course
  • Learners should be over the age of 16
  • Individuals who want to make a career in data science
  • Individuals who want to learn about data science

This is a knowledge-based course, and thus, will contain no method of assessment. 

Upon the successful completion of the course, learners will be awarded an accredited ‘Certificate of Completion’ for ‘Data Science and Machine Learning with R - Level 3’ by IAP.

On successful completion of this course, learners will have the knowledge and skills to enter the relevant job market, with the confidence to explore a wide range of industry-related professions. You can study related courses that will open the door to new and exciting opportunities and enhance your expertise in this subject, and add this as a skillset on your resume. Your skills will be recognised by top employers and organisations that will enable you to land a generous-paying job, gain plenty of benefits, and a wide array of opportunities. Given below are job titles you can compete for.

  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Consultant
     
The Data Science and Machine Learning with R - Level 3
£49.00
Course Includes:
  • Accredited By: IAP
  • Course Level: Beginner to Intermediate
  • Course Duration: 365 Days
  • Number of Modules: 15
  • Guided Learning Hours: 27
  • Course Certificate: At completion
  • Course Material:
Training 5 or more people?

Get your team access to 600+ top NLA courses anytime, anywhere.

Try NLA for Business
Program Fee
Starting @

?22,000/month

Total Program Fee ?3,25,000

Get a chance to win a scholarship up to Rs.1.10 Lakhs

Curriculum
16 Sections
82 Lectures
27h 06m Total
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