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Data science with python

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Contents:

Chapter 1 Introduction to Data Science for Python
Chapter 2 Python Data Science Environment Setup.
Chapter 3 Python Matplotlib
Chapter 4 Python Data Cleansing and Data Operations
Chapter 5 Processing CSV, JSON and XLS Data
Chapter 6 Relational Database with Python
Chapter 7 NoSQL Database in Python
Chapter 8 Python Stemming and Lemmatization.
Chapter 9 Aggregation and Data Wrangling with Python.
Chapter 10 Create Python Scatter Plot & Python BoxPlot.
Chapter 11 Bubble, 3D Charts with Properties of Chart
Chapter 12 Python Geographic Maps & Graph Data.
Chapter 13 Python Time Series Analysis
Chapter 14 Measuring Central Tendency & Variability
Chapter 15 Normal, Binomial, Poisson, Bernoulli Distributions
Chapter 16 Python p-Value, Correlation, T-test, KS Test
Chapter 17 Chi-Square Test In Python
Chapter 18 Heat maps with Python
Chapter 19 Histogram and Bar Plot with Python

BOOK REVIEW:

What is Data Science?"Data Science is about extraction, preparation, analysis, visualization, and maintenance of information. It is a cross-disciplinary field which uses scientific methods and processes to draw insights from data. "Tools for Data ScienceData Scientists use traditional statistical methodologies that form the core backbone of Machine Learning algorithms. They also use Deep Learning algorithms to generate robust predictions. Data Scientists use the following tools and programming languages

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Availability

200097

005.133 RAN d

My Library

Available

Detail Information

Series Title

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Call Number

005.133 RAN d

Publisher

Independently Published : USA., 2020

Collation

213 hlm.; 23 cm

Language

English

ISBN/ISSN

9798615637353

Classification

005.133

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

PRODI TEKNIK INFORMATIKA
DATA STRUCTURES (COMPUTER SCIENCE)
PYTHON (COMPUTER PROGAM LANGUANGE)

Specific Detail Info

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Statement of Responsibility

Randy Moore

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