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Business : Data Analysis | An Introduction To Machine Learning With Cluster Analysis Using
Simpliv LLC

Data analysis, Data Analytics Course, Online Data Analytics course, Data Analytics Bootcamp

Summary

Price
£50 inc VAT
Or £16.67/mo. for 3 months...
Study method
Online
Duration
Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

Overview

What will you learn
Part I- Python Basics:

Installation and Environments
Variable, Identifier, keywords, and Operators
Control Statements- conditionals, loops
Functions
Modules
Data Structure-List, Tuple, Set, Dictionary
Data Manipulation using Pandas library
Arrays, Linear Algebra, Summary statistics using Numpy library
Data visualization using Matplotlib and Seaborn
Part II – Clustering:

Understanding Machine Learning, supervised and unsupervised learning
Clustering definition and concept
K-means clustering
Hierarchical clustering
Part III – Practice Problem sets

Certificates

Certificate of completion

Digital certificate - Included

Description

Description
The first part of this course deals with the basics of python programming language. The second part begins with an introduction of machine learning followed by a comparison of supervised and unsupervised machine leaning concepts. Cluster analysis is discussed as a category of unsupervised machine learning. Subsequently, it offers an in-depth theoretical knowledge and practical implementation in python code of two most popular clustering algorithms – k-means and Hierarchical clustering. This second part tries to maintain a fine balance between necessary theoretical knowledge needed by a data scientist and practical implementation details using python programming language. The third part of the course consists of practice problem sets where students can put into practice their understanding of python and clustering.

Basic knowledge
No prior knowledge of python is required for this course as the first part of the course deals with the basics of python in enough details

Course Curriculum

Installation and Environments

Variable,Identifier,Keywords, and Operators

Control Statements-Conditionals

Control Statements- Loops

Functions

Modules

Data Structure-List

Tuple

Set

Dictionary

Data Manipulation using pandas library

Data Manipulation-2 using pandas library

Data Manipulation-3 using pandas library

Data Manipulation-4 using pandas

Arrays,Linear Algebra, Statistics using numpy library

Data visualization

Machine Learning

Clustering Concept and K-Means

K-Means Practical

Hierarchical Clustering

Practice Problem Sets

Who is this course for?

Who this course is for:
Students and professionals interested in machine learning and data science
People who want an introduction to unsupervised machine learning and cluster analysis
People who want to know how to write their own clustering code
Professionals interested in data mining big data sets to look for patterns automatically

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

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.
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