np.loadtxt function showing error, could not convert string to float: '“Date”'

Question

This is my stock market csv data:

Date,Open,High,Low,Close,Adj Close,Volume
43283,511,514.950012,503.5,512.599976,512.599976,261839
43284,512.599976,520,509.700012,512,512,332619
43285,512,515.950012,507.950012,514.299988,514.299988,173621
43286,515.549988,517.5,509.399994,510.899994,510.899994,117474
43287,510.049988,516.5,510.049988,514.25,514.25,82106
43290,514.200012,528.5,514.200012,523.650024,523.650024,322861
43291,530,534.900024,522.099976,532.549988,532.549988,404132
43292,533.400024,541.75,531,536.599976,536.599976,267510
43293,539.450012,545,535.25,537.25,537.25,254942
43294,540,540.799988,520.5,523.900024,523.900024,240378
43297,524,529.75,518.549988,523.099976,523.099976,191192
43298,523,540,519.799988,538.049988,538.049988,213308
43299,542.349976,542.799988,515.849976,524.200012,524.200012,557333
43300,528,536.900024,518.849976,527.299988,527.299988,201716
43301,527.599976,536.450012,524.950012,534.450012,534.450012,156703
43304,534.5,544.950012,531.049988,540.799988,540.799988,209083
43305,542.950012,549,538.450012,546,546,216217
43306,547,547.5,529.450012,531.849976,531.849976,145508
43307,537,543.900024,527,541.650024,541.650024,547093
43308,545,555,538,553.650024,553.650024,540695
43311,555,570,551.099976,568.450012,568.450012,564010
43312,582,584.950012,548,550.099976,550.099976,942588
43313,552.450012,555.549988,538.650024,544.900024,544.900024,440881

I am trying to load stock market data csv file in a jupyter note book using

import numpy as np

np.loadtxt(r"C:\Users\Souro\Downloads\Data.csv",delimiter=",")

but it shows the following error after compiling:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-54-6552d575b229> in <module>
----> 1 np.loadtxt(r"C:\Users\Souro\Downloads\Data.csv",delimiter=",")

c:\python3.7.2\lib\site-packages\numpy\lib\npyio.py in loadtxt(fname, dtype, comments, delimiter, converters, skiprows, usecols, unpack, ndmin, encoding, max_rows)
   1139         # converting the data
   1140         X = None
-> 1141         for x in read_data(_loadtxt_chunksize):
   1142             if X is None:
   1143                 X = np.array(x, dtype)

c:\python3.7.2\lib\site-packages\numpy\lib\npyio.py in read_data(chunk_size)
   1066 
   1067             # Convert each value according to its column and store
-> 1068             items = [conv(val) for (conv, val) in zip(converters, vals)]
   1069 
   1070             # Then pack it according to the dtype's nesting

c:\python3.7.2\lib\site-packages\numpy\lib\npyio.py in <listcomp>(.0)
   1066 
   1067             # Convert each value according to its column and store
-> 1068             items = [conv(val) for (conv, val) in zip(converters, vals)]
   1069 
   1070             # Then pack it according to the dtype's nesting

c:\python3.7.2\lib\site-packages\numpy\lib\npyio.py in floatconv(x)
    773         if '0x' in x:
    774             return float.fromhex(x)
--> 775         return float(x)
    776 
    777     typ = dtype.type

ValueError: could not convert string to float: '"Date"'

How can I get rid of this error?