Data-science

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.

a simple data science life cycle

tools to be used in data science :-

data science works on prediction over collected stats and probability so the important topics from mathematics are :-

Statistics

1. Difference between population and sample

2. Types of variables

3. Measures of central tendency

4. Measures of variability

5. Coefficient of variance

6. Skewness and Kurtosis

Inferential statistics

1. Normal distribution

2. Test hypotheses

3. Central limit theorem

4. Confidence interval

5. T-test

6. Type I and II errors

7. Student’s T distribution

You would find various detailed roadmaps, instructions & do's - don't for pursuing a career in data science here are a few roadmap yoy can follow 👍👇👇