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Data Analytics Online Tutor

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Data Analytics Online Tutor

George Town, Malaysia

Falid B

Bachelor of Science, Data Science, The National University of Malaysia

Profession

Data analytics online tutor and assignment helper

Skills

After 15 years of working as a data analytics professor in a renowned university in Malaysia, I joined Matlab Assignment Experts where I now offer assistance to students who need personalized help on data analysis. My job involves administering online tutoring sessions on various data analytics topics and guiding students on how to produce impressive assignment solutions. For the past 6 years, I have helped students with plenty of projects including research papers in statistics, data analysis, marketing research and analytics, and more. I provide professional support, clear explanations, and actionable insights at a reasonable fee.

Data Analysis

function  BSA = BodySurA(w,h)

% calculate BSA in m^2 
% where h is in cm and W is in KG 


h = h .* 0.3937 ; % converts cm to inches
w =  w .* 2.2046 ; % converts KG to lb

BSA = sqrt( h .*w/3131 )

end


% reads data from given spreadsheet
 data = xlsread('PersonalInfo (1).xls');

 ID = data(:,1);
 Gender = data(:,2);
 Height = data(:,3);
 Weight = data(:,4);

BSA = BodySurA(Weight,Height);

% calculate the average BSA for Male group

idxMale = find(Gender==0);

BSAMale = BSA(idxMale);

AverageBSAMale = sum(BSAMale)/length(BSAMale)

fprintf('The average BSA for male group is %1.4f',  AverageBSAMale)

% calculate the average BSA for Female group

idxFemale = find(Gender==1);

BSAFemale = BSA(idxFemale);

AverageBSAFemale = sum(BSAFemale)/length(BSAFemale)

fprintf('The average BSA for female group is %1.4f',  AverageBSAFemale)

Solving Equations Using Matlab

clc, clear all, close all

%% Question 1
syms x y z

%% Question 2
fprintf("\n\nQuestion 2:\n");
% let's solve using symbolic solver
xsol = double(solve(x^4 + 2*x^3 - 8*x^2 - 9*x+18==0))

%% Question 3
fprintf("\n\nQuestion 3:\n");
xsol = double(solve(x^3 - 5*x^2 == -x-15))

%% Question 4
fprintf("\n\nQuestion 4:\n");
% The intersection points are the solutions of the equation
sol = solve([4*x^2+5*(y-1.5)^2 == 40;y-3*x+1==0], [x,y]);
xsol = double(sol.x)
ysol = double(sol.y)

%% Question 5
fprintf("\n\nQuestion 5:\n");
% Define the system of equations
equations = [2.1*x+6.2*y-3.1*z==205;
             -3.7*x+10.8*y+1.1*z == -107;
             x+2*y-3*z==23];
sol = solve(equations, [x,y,z]);
xsol = double(sol.x)
ysol = double(sol.y)
zsol = double(sol.z)

%% Question 6
fprintf("\n\nQuestion 6:\n");
% We will use x = F1 and y = F2
equations = [(1 + cosd(30))*x + 10.3*cosd(25)*y == 0;
             5*sind(30)*x - 5.6*sind(25)*y == 30];
         
sol = solve(equations, [x,y]);
F1 = double(sol.x)
F2 = double(sol.y)

%% Question 7
fprintf("\n\nQuestion 7:\n");
y(x) = tan(4-3*x)-sqrt(3);
% Now solve
xsol = double(solve(y(x)+2*x==7, x))

%% Question 8
fprintf("\n\nQuestion 8:\n");
clear y
syms y
z1(x,y) = 4*x^2+5*(y-1.5)^2 -40;
z2(x,y) = y-3*x+1;

% The intersection points are where z1== z2
sol = solve(z1==z2, [x,y]);
xsol = double(sol.x)
ysol = double(sol.y)

%% Question 9
fprintf("\n\nQuestion 9:\n");
% We will use x and y as our variables

% Define first equation
eq1 = x+y == 11; % the sum of both numbers is 11
eq2 = 10*y+x + 27 == 10*x+y; 
sol = solve([eq1;eq2], [x,y]);
number = double(10*sol.x + sol.y)

%% Question 10
fprintf("\n\nQuestion 10:\n");
d = 250; %from A to B
va = 60;
vb = 0;
ab = -20;
aa = 0;

% Equation for position of a:

eq1 = va*x + aa*x^2 /2;
eq2 = d + vb*x + ab*x^2 /2;

sol = solve(eq1 == eq2)
t = double(sol);
t = t(t > 0); % take only the positive value
Xa = double(va*t + aa*t^2 /2)
Xb = double(vb*t + ab*t^2 /2)

fprintf("The trains met when they are at at distance of %.3f of station A\n", Xa)