ENGLISH

Data science from scratch: the #1 data science guide for everything a data scientist needs to know: Python, linear algebra, statistics, coding, applications, neural networks, and decision trees

By Steven Cooper

Book information

Publisher
Steven Cooper
Year
2018
ISBN
1723141208, 9781723141201
Language
english
Format
PDF
Filesize
2 MB (1611823 bytes)
Edition
1
Pages
157\157
Time added
2022-02-25 15:52:19

Description

★☆If you are looking to start a new career that is in high demand, then you need to continue reading!★☆​​​​​​​ Data scientists are changing the way big data is used in different institutions. Big data is everywhere, but without the right person to interpret it, it means nothing. So where do business find these people to help change their business? You could be that person! It has become a universal truth that businesses are full of data. With the use of big data, the US healthcare could reduce their health-care spending by $300 billion to $450 billion. It can easily be seen that the value of big data lies in the analysis and processing of that data, and that's where data science comes in. Preface Introduction Data Science and its Importance What is it Exactly? Why It Matters What You Need The Advantages to Data Science Data Science and Big Data Key Difference Between Data Science and Big Data Data Scientists The Process of Data Science Responsibilities of a Data Scientist Qualifications of Data Scientists Would You Be a Good Data Scientist? The Importance of Hacking The Importance of Coding Writing Production-Level Code Python SQL R SAS Java Scala Julia How to Work with Data Data Cleaning and Munging Data Manipulation Data Rescaling Python Installing Python Python Libraries and Data Structures Conditional and Iteration Constructs Python Libraries Exploratory Analysis with Pandas Creating a Predictive Model Machine Learning and Analytics Linear Algebra Vectors Matrices Statistics Discrete Vs. Continuous Statistical Distributions PDFs and CDFs Testing Data Science Models and Accuracy Analysis Some Algorithms and Theorems Decision Trees Neural Networks Scalable Data Processing Batch Processing Systems Apache Hadoop Stream Processing Systems Apache Storm Apache Samza Hybrid Processing Systems Apache Spark Apache Flink Data Science Applications Conclusion About the author References Sign up for Steven Cooper's Mailing List Also By Steven Cooper

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