INTRO
Here I want to summarize some important resources that are useful for data analytics or data science.
Data Science/Analytics is usually a mixed area of data engineer, programming, stats .etc.
Image from townrdsdatascience
Companies require candidates to having increasingly capabilities to handle the complex business situations. Sometimes it’s hard for us to find the right resources.
So I want to help people to get a quick view of what kind of knowledge do you need and below is a short summary list. You should at least know what I listed below. In real business world, you are required to know far more than these.
STATISTIC
- In introduction to statistical learning with application in R
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Practical Statistics for Data Scientists
- The Elements of Statistical Learning
MACHINE LEARNING
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DataScience for Business
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Hands on Machine Learning with ScikitLearn
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The Path to Predictive Analytics and Machine Learning
PYTHON
-
Python Data Science Handbook
-
Starting Out with Python
R PROGRAMMING
- R for Data Science
BIG DATA
-
Programming Hive
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The-Data-Engineers-Guide-to-Apache-Spark
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Hadoop the definite guide
DATABASE & SQL
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Database Design Application Development and Administration
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MYSQL Cookbook
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SQL Queries for mere mortals
PRODUCT
-
Lean Analycis
-
Cracking the PM Interview
CASE INTERVIEW
- Case in Point
For all the books mentioned above, I have the PDF version. Feel free to email me and I’ll give it to you.
Happy Reading!
