× Successfully! Added to wish list

Learn By Example: Statistics and Data Science in R

By: Loonycorn A 4-Ppl Team;ex-Google.

  • 4
  • (49)
  • 08:56:25
  • 96
  • 236
  • Language: English
599 2495
Apply
Promocode successfully applied Promocode not valid

Course Summary

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 R Programming tutorial is a gentle yet thorough introduct

Read More

Target Audience

  • Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
  • Yep! Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
  • Yep! Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modelers or data scientists
  • Yep! Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis

Pre-Requisites

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.

Curriculum

  • Download for sec 1
  • You, This course and Us
  • Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data
    13:11
  • R and RStudio installed
    05:10
  • Download for sec 2
  • Descriptive Statistics : Mean, Median, Mode
    10:07
  • Our first foray into R : Frequency Distributions
    06:06
  • Draw your first plot : A Histogram
    03:11
  • Computing Mean, Median, Mode in R
    02:21
  • What is IQR (Inter-quartile Range)?
    08:08
  • Box and Whisker Plots
    03:11
  • The Standard Deviation
    10:24
  • Computing IQR and Standard Deviation in R
    06:06
  • Downloads for Sec 3
  • Drawing inferences from data
    03:25
  • Random Variables are ubiquitous
    16:54
  • The Normal Probability Distribution
    09:31
  • Sampling is like fishing
    06:14
  • Sample Statistics and Sampling Distributions
    09:25
  • Downloads for Sec 4
  • Case Study 1 : Football Players (Estimating Population Mean from a Sample)
    06:45
  • Case Study 2 : Election Polling (Estimating Population Proportion from a Sample)
    07:50
  • Case Study 3 : A Medical Study (Hypothesis Test for the Population Mean)
    13:53
  • Case Study 4 : Employee Behavior (Hypothesis Test for the Population Proportion)
    09:49
  • Case Study 5: A/B Testing (Comparing the means of two populations)
    17:18
  • Case Study 6: Customer Analysis (Comparing the proportions of 2 populations)
    11:50
  • Downloads for Sec 5
  • Harnessing the power of R
    07:26
  • Assigning Variables
    08:47
  • Printing an output
    13:03
  • Numbers are of type numeric
    05:24
  • Characters and Dates
    07:30
  • Logicals
    03:24
  • Downloads for Sec 6
  • Data Structures are the building blocks of R
    08:24
  • Creating a Vector
    02:22
  • The Mode of a Vector
    04:18
  • Vectors are Atomic
    02:24
  • Doing something with each element of a Vector
    03:09
  • Aggregating Vectors
    01:28
  • Operations between vectors of the same length
    05:39
  • Operations between vectors of different length
    05:30
  • Generating Sequences
    06:25
  • Using conditions with Vectors
    02:04
  • Find the lengths of multiple strings using Vectors
    02:22
  • Generate a complex sequence (using recycling)
    02:49
  • Vector Indexing (using numbers)
    06:56
  • Vector Indexing (using conditions)
    06:18
  • Vector Indexing (using names)
    02:27
  • Downloads for Sec 7
  • Creating an Array
    11:36
  • Indexing an Array
    07:38
  • Operations between 2 Arrays
    02:45
  • Operations between an Array and a Vector
    02:09
  • Outer Products
    06:23
  • Downloads for Sec 8
  • A Matrix is a 2-Dimensional Array
    07:58
  • Creating a Matrix
    02:00
  • Matrix Multiplication
    02:48
  • Merging Matrices
    02:06
  • Solving a set of linear equations
    02:06
  • Downloads for Sec 9
    00:00
  • What is a factor?
    06:48
  • Find the distinct values in a dataset (using factors)
    01:28
  • Replace the levels of a factor
    02:18
  • Aggregate factors with table()
    01:39
  • Aggregate factors with tapply()
    05:07
  • Downloads for Sec 10
    00:00
  • Introducing Lists
    05:11
  • Introducing Data Frames
    04:28
  • Reading Data from files
    04:52
  • Indexing a Data Frame
    05:38
  • Aggregating and Sorting a Data Frame
    06:28
  • Merging Data Frames
    03:29
  • Downloads for Sec 11
    00:00
  • Introducing Regression
    12:21
  • What is Linear Regression?
    16:06
  • A Regression Case Study : The Capital Asset Pricing Model (CAPM)
    06:34
  • Downloads for Sec 12
    00:00
  • Linear Regression in Excel : Preparing the data
    09:53
  • Linear Regression in Excel : Using LINEST()
    16:48
  • Downloads for Sec 13
    00:00
  • Linear Regression in R : Preparing the data
    13:05
  • Linear Regression in R : lm() and summary()
    16:04
  • Multiple Linear Regression
    12:15
  • Adding Categorical Variables to a linear model
    07:44
  • Robust Regression in R : rlm()
    03:14
  • Parsing Regression Diagnostic Plots
    12:10
  • Downloads for Sec 14
    00:00
  • Data Visualization
    06:23
  • The plot() function in R
    03:42
  • Control color palettes with RColorbrewer
    04:15
  • Drawing barplots
    05:25
  • Drawing a heatmap
    02:52
  • Drawing a Scatterplot Matrix
    03:41
  • Plot a line chart with ggplot2
    00:00

About the Author

Loonycorn A 4-Ppl Team;ex-Google.,

Loonycorn is us, Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh. Between the four of us, we have studied at Stanford, IIM Ahmedabad, the IITs and have spent years (decades, actually) working in tech, in the Bay Area, New York, Singapore and Bangalore. Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum Navdeep: longtime Flipkart employee too, and IIT Guwahati alum We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Unanth! We hope you will try our offerings, and think you'll like them :-)

More From Author

Reviews

Samim Anvar
5

I enjoyed this course, learned statistics along with R. I liked the teaching style of explaining statistical concept and then showing how to calculate it using R. This also have awesome course material. I like "loony Corn" courses and purchased their other courses.

Jeetender Kumar
1

I like the course but there is very irritating and disturbing background music in every video .

Anuradha Banerjee
5

I have enjoyed this course. For me, it was a great refreshing of statistics and R. They explain a statistical concept and then show you how to calculate it using R. I feel that the course material is great and the teaching style is very enjoyable.

Anjali Mehta
5

It's good course for learning data science using R. Each concept explained in nice way.

Sriramachandra Gangireddy
5

Very good course for Beginners. each topic explained very detailed.

Venkatesh Ks
4

stats videos are good, still to finish R

Learn By Example: Statistics and Data Science in R

  • 08:56:25
  • 96
  • 236
  • Language: English
2495 599
  • 15 days Money back Gurantee
  • Unlimited Access
  • Android, iPhone and iPad Access
  • Certificate of Completion

Course Summary

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 R Programming tutorial is a gentle yet thorough introduct

Read More

Target Audience

  • Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
  • Yep! Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
  • Yep! Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modelers or data scientists
  • Yep! Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis

Pre-Requisites

  • Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
  • Yep! Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
  • Yep! Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modelers or data scientists
  • Yep! Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis

About the Author

Loonycorn A 4-Ppl Team;ex-Google.,

Loonycorn is us, Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh. Between the four of us, we have studied at Stanford, IIM Ahmedabad, the IITs and have spent years (decades, actually) working in tech, in the Bay Area, New York, Singapore and Bangalore. Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum Navdeep: longtime Flipkart employee too, and IIT Guwahati alum We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Unanth! We hope you will try our offerings, and think you'll like them :-)

More From Author

Review & Rating

Samim Anvar 5

I enjoyed this course, learned statistics along with R. I liked the teaching style of explaining statistical concept and then showing how to calculate it using R. This also have awesome course material. I like "loony Corn" courses and purchased their other courses.

Jeetender Kumar 1

I like the course but there is very irritating and disturbing background music in every video .

Anuradha Banerjee 5

I have enjoyed this course. For me, it was a great refreshing of statistics and R. They explain a statistical concept and then show you how to calculate it using R. I feel that the course material is great and the teaching style is very enjoyable.

Anjali Mehta 5

It's good course for learning data science using R. Each concept explained in nice way.

Sriramachandra Gangireddy 5

Very good course for Beginners. each topic explained very detailed.

Venkatesh Ks 4

stats videos are good, still to finish R