We use $Var(X)=E(X^2)-[E(X)]^2$.
First,
$E(X)=\sum xP(X=x)$
$E(X)=0(0.2)+1(0.4)+2(0.3)+3(0.1)$
$E(X)=0+0.4+0.6+0.3=1.3$
Next,
$E(X^2)=\sum x^2P(X=x)$
$E(X^2)=0^2(0.2)+1^2(0.4)+2^2(0.3)+3^2(0.1)$
$E(X^2)=0+0.4+1.2+0.9=2.5$
Therefore,
$Var(X)=2.5-(1.3)^2$
$Var(X)=2.5-1.69=0.81$
So, the variance is $\boxed{0.810}$.
Correct option: C