95% off Learn By Example: Statistics and Data Science in R (Coupon)

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Learn By Example: Statistics and Data Science in R - Udemy Coupon

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Coupon & course info

Course Name: Learn By Example: Statistics and Data Science in R

Subtitle: A gentle yet thorough introduction to Data Science, Statistics and R using real life examples

Instructor: Taught by An ex-Google, Stanford and Flipkart team

Category: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $99.99 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of March 15, 2019…

Students: 4734 students enrolled

Ratings: 349 reviews

Rank: ranked #551 in Udemy Business Courses

Brief course description

Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.

Let’s parse that.

(Read more about this course on the official course page.)

Loony Corn bio

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: N/A

Lectures: 82 lectures lessons

Duration: 9 hours of video

What you get: Harness R and R packages to read, process and visualize data

Target audience: Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role

Requirements: No prerequisites : We start from basics and cover everything you need to know. We will be installing R and RStudio as part of the course and using it for most of the examples. Excel is used for one of the examples and basic knowledge of excel is assumed.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons