SigmaWay's RapidMiner and Data Analytics Course

The "No Code Knowledge Required" Data Science Course for Budding Data Science Enthusiasts and Industry Professionals

4.00 (61 reviews)
Udemy
platform
English
language
Strategy
category
instructor
SigmaWay's RapidMiner and Data Analytics Course
286
students
3 hours
content
Feb 2021
last update
$59.99
regular price

What you will learn

RapidMiner- User Interface, Storing and using Data, Various Data Analysis Operators

Data Mining Techniques- Text Mining, Web Mining

Data Analysis Techniques- Regression, Factor Analysis, Principal component Analysis

Applied Data Sciences Processes- Twitter Sentiment Analysis, Product Propensity Analysis, Fraud Detection, Factor Analysis

Why take this course?

Welcome to Sigmaway’s Rapid Miner Course series where we aim to help budding industry professionals and data scientists understand various data analytics processes and show them how these processes are performed in a statistical software like RapidMiner.

The course takes you through a guided journey across various process and situations a Data Analyst might face, and teaches you the theoretical concepts behind such process and shows you how to perform them in RapidMiner, a " No Code " analytics software.

Understanding data and how to use it should not be limited requirements like knowledge of coding.

We at Sigmaway firmly believe that you have the power to understand and use the plethora of data available to you, and we want to help enable you in doing so.

Our course takes you through concepts like

  • Web mining

  • Text Mining

  • Linear Regression

  • Fraud Analysis

  • Principal Component Analysis

  • Sentiment Analysis

and more.

So join us, so that we may help you open up your horizons to the beautiful world of Data Analysis


Music: bensound


Note: Please use Head-Phones for optimum viewing experience.

Content

Introduction to Analytics and RapidMiner

Introduction to Analytics and RapidMiner
Introduction to Analytics and RapidMiner- Quiz
Introduction to Analytics and RapidMiner- UI Explanataion

Text Mining In Rapidminer

Text Mining- Introduction
Text Mining In Rapidminer- Quiz
Text Mining In Rapidminer- Case Example
Text Mining In Rapidminer- Practical

Web Mining In Rapidminer

Web Mining In Rapidminer- Introduction
Web Mining In Rapidminer- Quiz
Web Mining In Rapidminer- Case Example
Web Mining In Rapidminer- Practical

Predeictive Analytics in RapidMiner- 1

Predictive Analytics with RapidMiner- Introduction
Predictive Analytics with RapidMiner- Quiz
Predictive Analytics with RapidMiner- Case Example
Predictive Analytics with RapidMiner- Practical

Predictive Analytics in RapidMiner- 2

Predictive Analytics in RapidMiner- 2- Introduction
Predictive Analytics in RapidMiner- 2- Quiz
Predictive Analytics in RapidMiner- 2- Case Example
Predictive Analytics in RapidMiner- 2- Practical

Fraud Analytics and Decision Tree Analysis in RapidMiner

Fraud Analytics and Decision Tree Analysis in RapidMiner- Introduction
Fraud Analytics and Decision Tree Analysis in RapidMiner- Quiz
Fraud Analytics and Decision Tree Analysis in RapidMiner- Case Example
Fraud Analytics and Decision Tree Analysis in RapidMiner- Practical

Factor Analysis using PCA in RapidMiner

Factor Analysis using PCA in RapidMiner- Introduction
Factor Analysis using PCA in RapidMiner- Quiz
Factor Analysis using PCA in RapidMiner- Case Example
Factor Analysis using PCA in RapidMiner- Practical

Twitter Sentiment Analysis in RapidMiner

Twitter Sentiment Analysis in RapidMiner- Introduction and Case Example
Twitter Sentiment Analysis in RapidMiner- Practical

Screenshots

SigmaWay's RapidMiner and Data Analytics Course - Screenshot_01SigmaWay's RapidMiner and Data Analytics Course - Screenshot_02SigmaWay's RapidMiner and Data Analytics Course - Screenshot_03SigmaWay's RapidMiner and Data Analytics Course - Screenshot_04

Reviews

Deepshikha
November 23, 2022
good. The best part is that whatever he teaches, he has summarised it in ppt format for later references. so, that's amazing.
Veena
August 26, 2021
The course seems easy to understand and manageable, the speed is a bit high, but using the speed controls provided in the Udemy UI helps solve that problem
Jaswanth
June 16, 2021
If they can upload more videos about practical can be better to understand more. Going Fast while explaining theory part.
Lata
May 24, 2021
Amazing course, it was very clear in its instructions and I was able to replicate all the excercsies. Data Science was made easy to understand
Karan
May 24, 2021
The course took me through Rapidminer and Data Science concepts, and I managed to complete it very easily. Would advise everyone to try this.
Yash
March 8, 2021
I had fun!, i do have have any coding experience, so this was a good way I can start my career path into Data Analytics. It will help me in my father's business too
Kratika
March 4, 2021
Had fun learning through the course, As a fresher it helped me gain some insight and prep into the Data Analysis and be ready for interviews. Would recommend
Tarun
February 8, 2021
An amazing experience, the teacher was slow and clear, faced an issue with a module but it was resolved when I saw the announcements.
Namit
November 16, 2020
The course was easy to understand, and the short time frame allowed me to breeze through it. I wish the developers add more topics, because the teacher was easy to understand, and i look forward to any additions made in the course
Martha
November 6, 2020
I had an amazing time going through the content you have curated, fun experience and enjoyed the teachers. Strongly recommend this course!!!
Jhon
November 6, 2020
Excellant Learning Experience!! excited to try more of RapidMiner, would reccommend this course, Mr Nitin is easy to talk to and responded to my quieries very fast
Pritesh
October 9, 2020
Excellent course with the targeted materials. It helped me a lot to get an idea of Data Analytics and RapidMiner as a whole.
Piu
September 7, 2020
The topics are explained vividly and in a simple way. Being a novice, understood the topics thoroughly . Liked the simple GUI too.. Overall a very well structured course... Thanks Sigmaway!

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3182500
udemy ID
5/29/2020
course created date
8/17/2020
course indexed date
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