Data Analytics Online Tutor
1957 Order Completed 93 % Response Time 86 Reviews Since 2014

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.

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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)