Business Analytics with R

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Lecture 1: R Programming Language

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This is Part 1 of 6 week Business Analytics with R course. The 2hr Interactive LIVE class covers Introduction to R, Data Import in R using R Commander, import data from spreadsheets and text files into R and from other statistical formats like sas7bdat and spss, install packages which are going to be used for database import, connect to RDBMS from R using ODBC and basic SQL queries in R, do basic web scraping, read data directly from internet and various API, Import data from web analytics software like Google Analytics, Import data from various NoSQL databases.
More details below:
Here is Business Analytics with R for you:
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How it Works?

1. This is a 6 Week Instructor led Online Course.
2. We have a 2-hour Live and Interactive Sessions every Sunday and Sunday.

3. We have 3 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace.

4. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

5. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course

This is a 6-week course for professionals who aspire to learn 'R' language for Analytics. Practical approach of learning has been followed in order to provide a real time experience and make you think like an analyst. Our course will cover not only the basic concepts but also the advanced concepts like Data Visualization, Data Mining, Model Building in R, Web Analytics and so on.

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Course Objectives

After the completion of 'Business Analytics with R' at Edureka, you should be able to:
• Understand the fundamentals of 'R'.
• Learn how to transit from existing software in analytics into an 'R-based' system at zero cost.
• Get a broad insight into analytics and acquire skills in methodologies and techniques.
• Get familiar with data science as a career option with practical knowledge.

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Who should go for this course?

This course is meant for all those students and professionals who are interested in working in industry analytics and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Scientists' in near future!

The pre-requisites for learning 'Business Analytics with R' include basic mathematics and good analytical skills. The good news is that - as this is an applied course, the focus will be on real-world case studies rather than just the theory.

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Why Learn Business Analytics with R?

Business Analytics with R at Edureka will prepare you to:

● Learn R programming language and use it in analytical projects including multiple industrial domains and scenarios.
● Become an R user and learn to think like a data scientist/business analyst.
● Get exposure into the latest analytics techniques including forecasting, social network analytics, and text mining.
● Add-on to your existing analytics knowledge and methodology.
● Acquire advanced knowledge of analytics in web analytics, social media analytics and Industry norms.

Please write back to us at or call us at +91-8880862004 for more information.

Course Description :

R Programming - Business Analytics with R - What is Data Mining ? - Data manipulation in R - Data visualization in R - What is R ? - Importing SPSS Data in R | SPSS Tutorial | Business Analytics with R - Introduction to SAS7BDAT | SAS7BDAT File Tutorial | SAS7BDAT Packages - Introduction to XML | Business Analytics with R | XML Tutorial | XML Tutorial for Beginners - Introduction To Exploratory Data Analysis | Business Analytics with R - Statistical Modeling in Business Analytics with R - Modeling Techniques in Business Analytics with R - Predictive Analytics Process | Business Analytics with R - Cluster Analysis Steps In Business Analytics with R - Who Uses R ? - What is Business Analytics? - Analysis Of Variance in R - Association Rule Mining in R - Understanding Linear Regression in R - Understanding Logistic Regression in R - Introduction to Business Analytics with R - R Programming Language - Installation of R Package - Understanding R Console - Statistical Modeling in Business Analytics with R - Machine Learning with R - Understanding Decision tree in Business Analytics with R - Understanding the Concept of Statistics Essentials for Analytics - Introduction to Data Import - Business Analytics with R | Stages of Analytics | Data Mining | What is R

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