What is Data Science?
It is also called data driven science. It is a combination of scientific methods, processes and systems to interpret available data for extraction of knowledge. It is the unification of statistics, data analysis and research methodology. Sub-domains of computer science like machine learning, cluster analysis, databases and visualization etc are also included in the estimation of data analysis.
Who are Data Scientists?
These are professionals who have command over statistics and mathematics. Data science is the evolved version of mathematics and statistics combined with business logic and programming. Students with strong background of these subjects are given high priority in the selection process. Many top companies like Google, Amazon, Uber etc have strict standards for the selection process. There are some important books which are a must-read if one wants to be a good data scientist. These books are free to access online by the registered authorities or given links for the access.
Books that are must-read:
The books mentioned below are selected on the basis of their knowledge providing and reviews made by the readers. This list is very helpful to those students who find it very confusing to get a start. They can select books from the list and go ahead.
Statistics:
1) Introduction to Statistical Learning: This book focus on the connection between statistics concept and machine learning. Various algorithms like ML are emphasized for usage in real life setting.
2) Elements of Statistical Learning: It is an advanced version of previous book. It introduces to you many advanced and higher algorithms such as Bagging and Boosting, Kernal Methods, Neural Networks etc.
3) Think Stats: It is based on the usage of statistical analysis in Python. You should have prior knowledge of Python before using this book. This book uses case studies to understand real life influences of statistics.
4) From Algorithms to Z Scores: This book explains using probabilistic concepts and statistical measures for R users.
5) Introduction to Bayesian Statistics: It is recommended for fresher students in data science. It begins with gathering of data and ends with dedicated chapters on Bayesian Statistics.
6) Discovering Statistics using R: It is an introductory book on statistics.
Mathematics:
1) Introduction to Linear Algebra: It helps in building mathematical foundation in machine learning with chapters like vectors, linear equations etc.
2) Matrix Computation: It covers important topics of matrix computations such as Gaussian elimination, matrix factorization.
3) A Probabilistic Theory of Pattern Recognition: It covers topics like bayes error, linear discrimination and neural networks.
4) Introduction of Math of Neural Networks: This book has simplified difficult concepts of neural networks so it is a good book for beginners.
5) Advanced Engineering Mathematics: It has advanced chapters on calculus, algebra, probability etc.
6) Cookbook on Probability and Statistics: It is a quick guide on mathematical equations.
Getting professional help for Business Statistics assignment writing help online
Data science is similar to data mining. There is mainly interpretation of data from various databases with the help of mathematical and statistical tools. For attempting statistics assignments there are various books available online and in hard copy which are very helpful in solving various questions related to the assignments. BME attempts to deliver you your statistics assignment writing help with high quality and at very reasonable prices. The books mentioned above are highly helpful to the data science students. In addition to these books, there are additional sources available online. These are as follows:
1) Complete course on linear algebra by MIT
2) Complete course on multivariable calculus by MIT
3) Statistical Learning by Stanford University
4) Mathematics at Khan Academy
5) Full Cheatsheet on Probability
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