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DESCRIPTION:Taught by a Stanford-educated\, ex-Googler and an IIT\, IIM -
educated ex-Flipkart lead analyst. This team has decades of practical exp
erience in quant trading\, analytics and e-commerce. \;\n\n\nThis cou
rse is a gentle yet thorough introduction to Data Science\, Statistics an
d R using real life examples. \;\n\n\nLetâ€™s parse that.\n\n\nGentle\,
yet thorough: This course does not require a prior quantitative or mathe
matics background. It starts by introducing basic concepts such as the me
an\, median etc and eventually covers all aspects of an analytics (or) da
ta science career from analysing and preparing raw data to visualising yo
ur findings. \;\n\n\nData Science\, Statistics and R: This course is
an introduction to Data Science and Statistics using the R programming la
nguage. It covers both the theoretical aspects of Statistical concepts an
d the practical implementation using R. \;\n\n\nReal life examples: E
very concept is explained with the help of examples\, case studies and so
urce code in R wherever necessary. The examples cover a wide array of top
ics and range from A/B testing in an Internet company context to the Capi
tal Asset Pricing Model in a quant finance context. \;\n\n\nWhat's Co
vered:\n\n\nData Analysis with R: Datatypes and Data structures in R\, Ve
ctors\, Arrays\, Matrices\, Lists\, Data Frames\, Reading data from files
\, Aggregating\, Sorting &\; Merging Data Frames\n\n\nLinear Regressio
n: Regression\, Simple Linear Regression in Excel\, Simple Linear Regress
ion in R\, Multiple Linear Regression in R\, Categorical variables in reg
ression\, Robust regression\, Parsing regression diagnostic plots\n\n\nDa
ta Visualization in R: Line plot\, Scatter plot\, Bar plot\, Histogram\,
Scatterplot matrix\, Heat map\, Packages for Data Visualisation : Rcolorb
rewer\, ggplot2\n\n\nDescriptive Statistics: Mean\, Median\, Mode\, IQR\,
Standard Deviation\, Frequency Distributions\, Histograms\, Boxplots\n\n
\nInferential Statistics: Random Variables\, Probability Distributions\,
Uniform Distribution\, Normal Distribution\, Sampling\, Sampling Distribu
tion\, Hypothesis testing\, Test statistic\, Test of significance\n\n\nUs
ing discussion forums\n\n\nPlease use the discussion forums on this cours
e to engage with other students and to help each other out. Unfortunately
\, much as we would like to\, it is not possible for us at Loonycorn to r
espond to individual questions from students:-(\n\n\nWe're super small an
d self-funded with only 2 people developing technical video content. Our
mission is to make high-quality courses available at super low prices.\n\
n\nThe only way to keep our prices this low is to *NOT offer additional t
echnical support over email or in-person*. The truth is\, direct support
is hugely expensive and just does not scale.\n\n\nWe understand that this
is not ideal and that a lot of students might benefit from this addition
al support. Hiring resources for additional support would make our offeri
ng much more expensive\, thus defeating our original purpose.\n\n\nIt is
a hard trade-off.\n\n\nThank you for your patience and understanding!\n\n
\nWho is the target audience?\n\n\nYep! MBA graduates or business profess
ionals who are looking to move to a heavily quantitative role\n\n\nYep! E
ngineers who want to understand basic statistics and lay a foundation for
a career in Data Science\n\n\nYep! Analytics professionals who have most
ly worked in Descriptive analytics and want to make the shift to being mo
delers or data scientists\n\n\nYep! Folks who've worked mostly with tools
like Excel and want to learn how to use R for statistical analysis\n\n\n
Basic knowledge\n\n\nNo prerequisites : We start from basics and cover ev
erything 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.\n\n\nWhat you wi
ll learn\n\n\nHarness R and R packages to read\, process and visualize da
ta\n\n\nUnderstand linear regression and use it confidently to build mode
ls\n\n\nUnderstand the intricacies of all the different data structures i
n R\n\n\nUse Linear regression in R to overcome the difficulties of LINES
T() in Excel\n\n\nDraw inferences from data and support them using tests
of significance\n\n\nUse descriptive statistics to perform a quick study
of some data and present results\n\n\n \;\n\n\nGmail: support@simpliv
.com\nPhone no: 5108496155\n \; \; \;\nClick to Continue Rea
ding: \nRegistration Link:\nSimpliv Youtube Course &\; Tutorial : \nFa
cebook Page: \nLinkedin: \nTwitter: \n\n
DTEND;VALUE=DATE:20240229
DTSTAMP:20221006T112037Z
DTSTART;VALUE=DATE:20180502
LOCATION:Online Courses
SEQUENCE:0
SUMMARY:Taught by a Stanford-educated\, ex-Googler and an IIT\, IIM - educ
ated ex-Flipkart lead analyst. This team has decades of practical experie
nce in qua...
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