Data Scientist certifications | Saramsh Khadka Data Scientist certification

All the certifications are valid and world-wide recognized. 

Business Intelligence (BI) and Google analytics:





















GIT HUB





SQL





PYTHON Programming





R Programming



















STATISTICS









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Intermediate R programming | Datacamp- Intermediate R programming | R programming for data scientist | programming language for Data Scientist

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  Intermediate R programming from Datacamp In this chapter, we will learn about conditional statements, loops, and functions to power the R scripts. Conditional and control flow # Equality: # Comparison of logicals TRUE  ==  FALSE # Comparison of numerics -6  *  14  !=  17  -  101 # Comparison of character strings "useR"  ==  "user" # Compare a logical with a numeric TRUE  ==  1 [1] TRUE # Greater and less than: # Comparison of numerics -6  *  5  +  2  >=  -10  +  1 # Comparison of character strings "raining"  <=  "raining dogs" # Comparison of logicals TRUE  >  FALSE [1] TRUE # Compare vectors: # The linkedin and facebook vectors have already been created for you linkedin  <-  c ( 16 ,  9 ,  13 ,  5 ,  2 ,  17 ,  14 ) facebook  <-  c ( 17 ,  7 ,  5 ,  16 ,  8 ,  13 ,  14 ) # Popular days linkedin  >  15 # Quiet days linkedin  <=  5 # LinkedIn more popular than Facebook linkedin  >  facebook [1] FALSE TRUE TRUE FALSE FAL
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Introduction to R programming | Datacamp - Introduction to R programming | R programming for data scientist | Programming language for Data Scientist

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An introduction to R from Datacamp In this chapter, we will learn about the basics and widely used data structures in R like vectors, factors, lists, and data frames.  Arithmetic operations: # An addition 5  +  5   [1] 10 # A subtraction 5  -  5   [1] 0 # A multiplication 3  *  5 [1] 15 # A division ( 5  +  5 ) /  2   [1] 5 # Exponentiation 2  ^  5 [1] 32 # Modulo 28  %%  6 [1] 4 Variable Assignment: # Assign a value to the variable my_apples my_apples  <-  5   # Fix the assignment of my_oranges my_oranges  <-  6   # Create the variable my_fruit and print it out my_fruit  <-  my_apples  +  my_oranges   my_fruit [1] 11 Basic data types in R: # Declare variables of different types my_numeric  <-  42 my_character  <-  "universe" my_logical  <-  FALSE   # Check class of my_numeric class ( my_numeric ) [1] "numeric" # Check class of my_character class ( my_character ) [1] "character" # Check class of my_logical class ( my_logical ) [1] "l
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