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Diploma in Data Science & Machine Learning with R - Level 7 (QLS Endorsed)

Level 7 QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support


Kingston Open College

Summary

Price
Save 20%
£12 inc VAT (was £15)
Offer ends 31 December 2024
Study method
Online
Duration
22 hours · Self-paced
Access to content
12 months
Qualification
No formal qualification
CPD
20 CPD hours / points
Achievement
Certificates
  • Advanced Diploma in Data Science & Machine Learning with R at QLS Level 7 - £75
Additional info
  • Exam(s) / assessment(s) not included in price, and must be purchased separately
  • Tutor is available to students
  • TOTUM card available but not included in price What's this?

1 student purchased this course

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Overview

Explore the fundamental ideas of Data Science & Machine Learning using R in a detailed course. This covers important areas like handling data, creating visuals, making reports, developing web apps, and getting introduced to machine learning. Acquire the essential skills to kickstart a thriving career in the world of Data Science and Machine Learning.

Key Takeaways:

  • Grasp the basics of Data Science and Machine Learning using R.
  • Analyse and manipulate data using various data types and structures in R.
  • Make attractive visualizations to understand complex datasets better.
  • Become skilled at crafting reports using R Markdown for effective data communication.
  • Gain proficiency in creating reports using R Markdown for efficient data communication.
  • Explore the basics of Machine Learning and its applications in solving real-world problems.
  • Develop the knowledge and confidence needed to pursue a fulfilling career in Data Science.

Our Service for the Data Science & Machine Learning with R Includes:

  • Intensive Study Notes
  • Tutor Support
  • Customer Support
  • Assignment Help
  • QLS Endorsed Certificate
  • 24/7 Learning Portal Access
  • Widely Compatible Study Materials

Achievement

CPD

20 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

Course Curriculum of Data Science & Machine Learning with R

  • Data Science and Machine Learning Course Intro
  • Getting Started with R
  • Data Types and Structures in R
  • Intermediate R
  • Data Manipulation in R
  • Data Visualization in R
  • Creating Reports with R Markdown
  • Building Webapps with R Shiny
  • Introduction to Machine Learning
  • Starting A Career in Data Science

Assessment & Certification

Students need to finish and turn in a thorough assignment covering all topics in our curriculum. Our expert tutor will review the assignment to make sure it meets Quality Learning Systems (QLS) standards. Once the assessment is successful and passes a quality check, students will be awarded a certificate for completing the Data Science & Machine Learning with R.

Endorsed Certificate of Achievement from the Quality Licence Scheme

After the course, participants will receive an endorsed certificate as proof of successful completion. The learner may request a certificate if they complete all course assessments.

Endorsement:

This certified course is approved by QLS as a well-qualified, non-regulated training program. A trainer will be available to address your inquiries, including guidance on your pathways to higher education.

Who is this course for?

  • Individuals interested in entering the field of Data Science and Machine Learning.
  • Professionals looking to enhance their data manipulation and analysis skills using R.
  • Graduates seeking to gain a competitive edge in the job market with specialized knowledge in Data Science.
  • Those who want to explore the applications of Machine Learning and its impact on various industries.

Requirements

There are no specific requirements for enrolling in the Data Science & Machine Learning with Rcourse. Therefore, learners do not need previous qualifications to sign up for this course.

Career path

  • Data Analyst: £25,000 - £45,000 per annum
  • Machine Learning Engineer: £35,000 - £65,000 per annum
  • Data Scientist: £40,000 - £70,000 per annum
  • Business Intelligence Analyst: £30,000 - £55,000 per annum
  • Data Engineer: £35,000 - £60,000 per annum
  • AI Research Scientist: £50,000 - £90,000 per annum

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Certificates

Advanced Diploma in Data Science & Machine Learning with R at QLS Level 7

Hard copy certificate - £75

Reviews

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.