How to learn Data Science?

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Aritra Kumar Sinha

Hi, First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability, distributions and Hypothesis Testing can get you started working on certain Data Science problems....
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Hi, First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability, distributions and Hypothesis Testing can get you started working on certain Data Science problems. For example, if a marketing campaign has taken place during Diwali and some customers are given some offers , what is the best way to measure the impact of the campaign? How can we say that the impact was statistically significant ? Problems of supervised and unsupervised learning however requires deeper understanding. Multiple online available sources can help you get clarity on concepts. The key thing is to know what topics to search for. Here is a starting list of topics you would want to research on with regards to unsupervised learning Principal Component and Factor Analysis Cluster Analysis Conjoint Analysis Multi Dimensional Scaling Topics on Supervised Learning could be and not limited to Regression (OLS and GLM) Non Parametric methods such as Decision Trees Random Forest SVM Boosting Techniques Once you get the gist of the concepts on these topics , it will be much easier for you to grasp the discussions in any training program if you join one. In terms of programming Python is agreat platform .A few years ago, SAS was almost always important but things have changed now. SkLearn offers great set of packages in Python to play with. I'd encourage you to try and apply algorithmic approaches to create your own functions in Python. In conclusion, in my experience Data Science has been a journey and not a cluster of skills. Over time it will become a part of your thought process and will guide you every step of the way. Keep learning and keep practicing. If you need to discuss anything further - reach out to me. Aritra read less
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Computer Science Educator with25 years of teaching experience of onlie and Offline education

To learn Data Science, you should have knowledge of Mathematics and Descriptive statistics, Tools R language and Python. ability to understand and develop algorithm
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Data science is nothing but learning from data. And applying some mathematical algorithm to use and predict that data.
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Long story short, when you understand what data is and how it is processed in statistics. Then you should data analysis Language to implement that. This is what required for becoming data analyst. Regards Anup
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Hi, Good question. You can start with Programming, then learn statistics and algorithms with data.
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1)Learn statistics and probability 2)Learn Linear algebra nd calculus 3)Learn Python 4)Machine learning Algorithms 5)data science library (numpy,pandas,mat plot,Scikit learn) 6)Start working on some basic Data Science project 7)start reading Data science research papers 8) Participate or practice on...
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1)Learnstatistics and probability 2)Learn Linear algebra nd calculus 3)Learn Python 4)Machine learning Algorithms 5)data science library (numpy,pandas,mat plot,Scikit learn) 6)Start working on some basic Data Science project 7)start reading Data science research papers 8) Participate or practice on analyticsvidhya.com 9)and then move on kaggle 10)find some core Data Science internships (prefer Startups) 11)and then you will automatically get full time job for data science. read less
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