Anyone taking nus data science courses?

[Jaylim123]

once upon a time, life science is also the trend...

Sent from LGE LG-H990 using GAGT

But life science dont have good prospects leh

 

[icansing]

once upon a time, life science is also the trend...

Sent from LGE LG-H990 using GAGT

OK la...Now at least u learn u get a job..In future got new things u learn again .Constant learning..It's good to have fundamental knowledge of data science ..No need to be a data scientist

 

[Roundtreex]

r is an interpreter language so it is a challenge

its taught by top universities such as harvard and mit

python is easy. It is a very old language at 1980s.
Much easier than java and c++

 

[toolbox03]

r is an interpreter language so it is a challenge

its taught by top universities such as harvard and mit

Just one line of R can show so much info riao, python still need so many lines

And R is the language used by statistician

 

[Optionstrader]

some information on data science on my forum

https://www.jsypconsulting.com/forums/data-science/

 

[icansing]

r is an interpreter language so it is a challenge

its taught by top universities such as harvard and mit

Taught by top universities doesn't mean the best..More n more r switching to Python according to the stats best is know both language no lugi

 

[Kaypohji]

R u in data science field also??
Ur colleagues r data scientist and analyst?
Then good leh. U can learn from them

I recommend start with Python before start with r.

I started with r it was difficult..Then I switched to Python then I went back r. Much easier

 

[icansing]

R u in data science field also??
Ur colleagues r data scientist and analyst?
Then good leh. U can learn from them

I m in a field that needs to do lots of analysing but I no need to do so much..But I wan to learn so I bug them to teach

 

[Kaypohji]

U in data science field also?

Wle do U know what a fad is?

This is coming from a person running a data analytics division.

 

[Optionstrader]

help me with this lol

this is a killer



# creating a function that computes the sum of integers 1 through n
compute_s_n <- function{
x <- 1:n
sum(x)
}

# a very simple for-loop
for(i in 1:5){
print(i)

# a for-loop for our summation
m <- 25
s_n <- vector(length = m) # create an empty vector
for(n in 1:m){
s_n[n] <- compute_s_n
}

# creating a plot for our summation function
n <- 1:m
plot(n, s_n)

# a table of values comparing our function to the summation formula
head(data.frame(s_n = s_n, formula = n*(n+1)/2))

# overlaying our function with the summation formula
plot(n, s_n)
lines(n, n*(n+1)/2)

https://www.jsypconsulting.com/forums/data-science/install-dslabs-package-in-r/

 

[Roundtreex]

some information on data science on my forum

https://www.jsypconsulting.com/forums/data-science/

rofl toolbox03 u call that programming bare minimum?

 

[Kaypohji]

What kind of analysis? U r research analyst in banking?

I m in a field that needs to do lots of analysing but I no need to do so much..But I wan to learn so I bug them to teach

 

[Optionstrader]

R u in data science field also??
Ur colleagues r data scientist and analyst?
Then good leh. U can learn from them

yup python has its benefits and applications

 

[Kaypohji]

This is interesting !

help me with this lol

this is a killer



# creating a function that computes the sum of integers 1 through n
compute_s_n <- function{
x <- 1:n
sum(x)
}

# a very simple for-loop
for(i in 1:5){
print(i)

# a for-loop for our summation
m <- 25
s_n <- vector(length = m) # create an empty vector
for(n in 1:m){
s_n[n] <- compute_s_n
}

# creating a plot for our summation function
n <- 1:m
plot(n, s_n)

# a table of values comparing our function to the summation formula
head(data.frame(s_n = s_n, formula = n*(n+1)/2))

# overlaying our function with the summation formula
plot(n, s_n)
lines(n, n*(n+1)/2)

https://www.jsypconsulting.com/forums/data-science/install-dslabs-package-in-r/

 

[Roundtreex]

help me with this lol

this is a killer



# creating a function that computes the sum of integers 1 through n
compute_s_n <- function{
x <- 1:n
sum(x)
}

# a very simple for-loop
for(i in 1:5){
print(i)

# a for-loop for our summation
m <- 25
s_n <- vector(length = m) # create an empty vector
for(n in 1:m){
s_n[n] <- compute_s_n
}

# creating a plot for our summation function
n <- 1:m
plot(n, s_n)

# a table of values comparing our function to the summation formula
head(data.frame(s_n = s_n, formula = n*(n+1)/2))

# overlaying our function with the summation formula
plot(n, s_n)
lines(n, n*(n+1)/2)

https://www.jsypconsulting.com/forums/data-science/install-dslabs-package-in-r/

It is algorithm translate to code. Like that u dont know u GG

 

[Kaypohji]

What field and industry r u in? U need to use data science in ur job?

yup python has its benefits and applications

 

[Optionstrader]

This is interesting !

nothing much just commands in r......

the issue is the questions the harvardx ask man....it is highly abstract and computational and u will really need to think...

 

[icansing]

It is algorithm translate to code. Like that u dont know u GG

Wa sounds like expert

 

[golden touch]

Once you complete this course, you can apply to be a data scientist

 

[Kaypohji]

That forum is yours? U started that website ?

some information on data science on my forum

https://www.jsypconsulting.com/forums/data-science/