SQL for Data Analytics: Perform Fast and Efficient Data Analysis with SQL for Beginners
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SQL FOR DATA ANALYTICS
Perform Fast and Efficient Data Analysis with SQL for Beginners
Data analytics is used in business to support organizations make great business decisions. Even if it is market research, product research, positioning, customer reviews, sentiment analysis, or any additional problem for which data exists, analyzing data can give insights that organizations need so as to make the right choices.
Data analytics is vital for businesses today, since data driven choices are the best way to be truly confident in business decisions. A number of successful businesses can be created on a hunch, but nearly all successful business choices are data driven.
This book will guide on:
What data analysis can do for your organization?
What are the techniques of data analysis?
Eight SQL techniques to carry out data analysis for analytics and data science
Structured query language (SQL) for data science
Slicing data
Practical SQL for data analysis
Aggregating in the database
Some examples of data analysis?
Get Your Copy Now
Perform Fast and Efficient Data Analysis with SQL for Beginners
Data analytics is used in business to support organizations make great business decisions. Even if it is market research, product research, positioning, customer reviews, sentiment analysis, or any additional problem for which data exists, analyzing data can give insights that organizations need so as to make the right choices.
Data analytics is vital for businesses today, since data driven choices are the best way to be truly confident in business decisions. A number of successful businesses can be created on a hunch, but nearly all successful business choices are data driven.
This book will guide on:
What data analysis can do for your organization?
What are the techniques of data analysis?
Eight SQL techniques to carry out data analysis for analytics and data science
Structured query language (SQL) for data science
Slicing data
Practical SQL for data analysis
Aggregating in the database
Some examples of data analysis?
Get Your Copy Now
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