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.Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analysing and preparing raw data to visualising your findings.
Data Science, Statistics and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R.
Real life examples: Every concept is explained with the help of examples, case studies and source code in R wherever necessary. The examples cover a wide array of topics and range from A/B testing in an Internet company context to the Capital Asset Pricing Model in a quant finance context. What's Covered:Data Analysis with R: Datatypes and Data structures in R, Vectors, Arrays, Matrices, Lists, Data Frames, Reading data from files, Aggregating, Sorting & Merging Data Frames
Linear Regression: Regression, Simple Linear Regression in Excel, Simple Linear Regression in R, Multiple Linear Regression in R, Categorical variables in regression, Robust regression, Parsing regression diagnostic plots
Data Visualization in R: Line plot, Scatter plot, Bar plot, Histogram, Scatterplot matrix, Heat map, Packages for Data Visualisation : Rcolorbrewer, ggplot2
Descriptive Statistics: Mean, Median, Mode, IQR, Standard Deviation, Frequency Distributions, Histograms, Boxplots
Course programme
Introduction
3 lectures 20:42
You, This course and Us
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
R and RStudio installed
Get setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in Rstudio
Introduction
3 lectures 20:42
You, This course and Us
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
R and RStudio installed
Get setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in Rstudio
You, This course and Us
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
You, This course and Us
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
You, This course and Us
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
You, This course and Us
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples.
Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
Top Down vs Bottoms Up : The Google vs McKinsey way of looking at data
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
Q. How do companies make decisions?
A. Using data
We talk about what it takes to go from data to making a decision from data. This sets the agenda for the rest of the course - each of the things on this journey is covered in the upcoming sections
R and RStudio installed
Get setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in Rstudio
R and RStudio installed
Get setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in Rstudio
R and RStudio installed
Get setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in Rstudio
R and RStudio installed
Get setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in RstudioGet setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in RstudioGet setup with R and Rstudio. All the examples that follow in this course will have source code attached. Download and run them in Rstudio
The 10 second answer : Descriptive Statistics
8 lectures 49:28
Descriptive Statistics : Mean, Median, Mode
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Our first foray into R : Frequency Distributions
Computing a frequency distribution using R
Draw your first plot : A Histogram
A histogram is a good visual summary of your data.
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
What is IQR (Inter-quartile Range)?
The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)?
Box and Whisker Plots
Visualize the IQR and outliers using box and whisker plots
The Standard Deviation
The standard deviation measures the spread of a dataset, and it so happens, the standard deviation is actually very profound.
Computing IQR and Standard Deviation in R
Computing IQR and Standard Deviation in R
The 10 second answer : Descriptive Statistics.
8 lectures 49:28
Descriptive Statistics : Mean, Median, Mode
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Our first foray into R : Frequency Distributions
Computing a frequency distribution using R
Draw your first plot : A Histogram
A histogram is a good visual summary of your data.
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
What is IQR (Inter-quartile Range)?
The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)?
Box and Whisker Plots
Visualize the IQR and outliers using box and whisker plots
The Standard Deviation
The standard deviation measures the spread of a dataset, and it so happens, the standard deviation is actually very profound.
Computing IQR and Standard Deviation in R
Computing IQR and Standard Deviation in R
Descriptive Statistics : Mean, Median, Mode
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Descriptive Statistics : Mean, Median, Mode
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Descriptive Statistics : Mean, Median, Mode
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Descriptive Statistics : Mean, Median, Mode
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Bosses are impatient. They often want you to cut to the chase, and give them an answer that's ok, but in a short amount of time. Descriptive statistics are the first place to start - they are often the 10s answer to any question about the data.
Our first foray into R : Frequency Distributions
Computing a frequency distribution using R
Our first foray into R : Frequency Distributions
Computing a frequency distribution using R
Our first foray into R : Frequency Distributions
Computing a frequency distribution using R
Our first foray into R : Frequency Distributions
Computing a frequency distribution using RComputing a frequency distribution using RComputing a frequency distribution using R
Draw your first plot : A Histogram
A histogram is a good visual summary of your data.
Draw your first plot : A Histogram
A histogram is a good visual summary of your data.
Draw your first plot : A Histogram
A histogram is a good visual summary of your data.
Draw your first plot : A Histogram
A histogram is a good visual summary of your data. A histogram is a good visual summary of your data. A histogram is a good visual summary of your data.
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
Computing Mean, Median, Mode in R
What is IQR (Inter-quartile Range)?
The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)?
What is IQR (Inter-quartile Range)?
The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)?
What is IQR (Inter-quartile Range)?
The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)?
What is IQR (Inter-quartile Range)?
The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)? The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)? The mean, median and mode are point estimates to represent your data. IQR is a measure that explains the spread of the data.
What is IQR (Inter-quartile Range)?
Box and Whisker Plots
Visualize the IQR and outliers using box and whisker plots
Box and Whisker Plots
Visualize the IQR and outliers using box and whisker plots
Box and Whisker Plots
Visualize the IQR and outliers using box and whisker plots
Box and Whisker Plots
Visualize the IQR and outliers using box and whisker plots
Visualize the IQR and outliers using box and whisker plots
Visualize the IQR and outliers using box and whisker plots
The Standard Deviation
The standard deviation measures the spread of a dataset, and it so happens, the standard deviation is actually very profound ong
The Normal Distribution is arguably the most well-known and commonly seen probability distribution. It is characterized by its probability density function, mean and standard...
