Is it possible to become a data scientist if you are not good at math or statistics?

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yes it is possible
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The general impression is that there is a heavy maths and statistics in data science. That is not true. The secret is that on application side the maths and statistics are minimal. Don't believe me.Look at the following code for digit classification. There is zero maths. from keras import modelsfrom...
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The general impression is that there is a heavy maths and statistics in data science. That is not true. The secret is that on application side the maths and statistics are minimal. Don't believe me.Look at the following code for digit classification. There is zero maths. from keras import modelsfrom keras import layers network = models.Sequential()network.add(layers.Dense(16, activation=’relu’, input_shape=(28 * 28,)))network.add(layers.Dense(16, activation=’relu’)) network.add(layers.Dense(10, activation=’softmax’)) network.compile(optimizer=’rmsprop’,loss=’categorical_crossentropy’,metrics=[‘accuracy’]) This is an example of deep learning code in Keras. All the maths is being taken care by Keras API. The point is that one needs maths to get a intuition of what is happening inside the algorithm but one would not need to code the mathematical parts. To draw parallels one uses indexes in database but one does not code the index logic. read less
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python,machine learning and artificial intelligence...these are the things u should know...do course in all these.if you have the ability to think creative.. then yes u r on the right track...
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