SigmaWay's RapidMiner and Data Analytics Course

SigmaWay's RapidMiner and Data Analytics Course, available at $59.99, has an average rating of 4.15, with 22 lectures, 7 quizzes, based on 62 reviews, and has 290 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner students interested in Machine Learning and RapidMiner or Entry Level Professionals interested in Data Analytics It is particularly useful for Beginner students interested in Machine Learning and RapidMiner or Entry Level Professionals interested in Data Analytics.

Enroll now: SigmaWay's RapidMiner and Data Analytics Course

Summary

Title: SigmaWay's RapidMiner and Data Analytics Course

Price: $59.99

Average Rating: 4.15

Number of Lectures: 22

Number of Quizzes: 7

Number of Published Lectures: 22

Number of Published Quizzes: 7

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $22.99

Quality Status: approved

Status: Live

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

Who Should Attend

Beginner students interested in Machine Learning and RapidMiner
Entry Level Professionals interested in Data Analytics

Target Audiences

Beginner students interested in Machine Learning and RapidMiner
Entry Level Professionals interested in Data Analytics

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.

Course Curriculum

Chapter 1: Introduction to Analytics and RapidMiner

Lecture 1: Introduction to Analytics and RapidMiner

Lecture 2: Introduction to Analytics and RapidMiner- UI Explanataion

Chapter 2: Fraud Analytics and Decision Tree Analysis in RapidMiner

Lecture 1: Fraud Analytics and Decision Tree Analysis in RapidMiner- Introduction

Lecture 2: Fraud Analytics and Decision Tree Analysis in RapidMiner- Case Example

Lecture 3: Fraud Analytics and Decision Tree Analysis in RapidMiner- Practical

Chapter 3: Twitter Sentiment Analysis in RapidMiner

Lecture 1: Twitter Sentiment Analysis in RapidMiner- Introduction and Case Example

Lecture 2: Twitter Sentiment Analysis in RapidMiner- Practical

Chapter 4: Text Mining In Rapidminer

Lecture 1: Text Mining- Introduction

Lecture 2: Text Mining In Rapidminer- Case Example

Lecture 3: Text Mining In Rapidminer- Practical

Chapter 5: Web Mining In Rapidminer

Lecture 1: Web Mining In Rapidminer- Introduction

Lecture 2: Web Mining In Rapidminer- Case Example

Lecture 3: Web Mining In Rapidminer- Practical

Chapter 6: Predictive Analytics in RapidMiner- 1

Lecture 1: Predictive Analytics with RapidMiner- Introduction

Lecture 2: Predictive Analytics with RapidMiner- Case Example

Lecture 3: Predictive Analytics with RapidMiner- Practical

Chapter 7: Predictive Analytics in RapidMiner- 2

Lecture 1: Predictive Analytics in RapidMiner- 2- Introduction

Lecture 2: Predictive Analytics in RapidMiner- 2- Case Example

Lecture 3: Predictive Analytics in RapidMiner- 2- Practical

Chapter 8: Factor Analysis using PCA in RapidMiner

Lecture 1: Factor Analysis using PCA in RapidMiner- Introduction

Lecture 2: Factor Analysis using PCA in RapidMiner- Case Example

Lecture 3: Factor Analysis using PCA in RapidMiner- Practical

Instructors

Nitin Sinha
Director at SigmaWay LLC
Jatin Nagpal
Data Analyst at Sigmaway LLC

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 10 votes
4 stars: 14 votes
5 stars: 35 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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