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Fundamentals of Data Science: Take the first Step to Become a Data Scientist
PUBLISHER | Independently Published (09/17/2019) |
PRODUCT TYPE | Paperback (Paperback) |
Description
Gain an understanding of the foundations of data science and its applications. This short book does not require technical abilities or cover how to code. The author focuses on nontechnical skills, such as the management of data science implementation efforts. This book is recommended for beginners and anybody who want to understand Data Science in an easy way. You don't need a big textbook to master Data Science today. Get your copy now Book ObjectivesThis book is an introduction to data science with the following objectives:
- To help you understand the correct meaning of data science.
- To help you understand the various fields that make data science.
- To familiarize you with various algorithms used in data science.
- To introduce you to the most popular data science software tools.
- To help you understand the best languages for data science tasks.
- To help you know where and how you can apply data science in your business.
- Anybody who needs to familiarize themselves with the fundamentals of data science..
- Anybody who needs a thorough introduction to data science before venturing into its practicalities..
- Anybody who needs to know where and how they can apply data science in their business.
- Professionals in data science, computer programming, computer scientist.
- Professors, lecturers or tutors who are looking to find better ways to explain python for data analysis to their students in the simplest and easiest way.
- Students and academicians, especially those focusing on python programming, computer science, neural networks, machine learning, and deep learning.
- Anybody who needs to understand the various approaches, tools, and theories underlying data science.
- Python 3.X
- Numpy
- Pandas
- Matplotlib
- BASICS OF DATA SCIENCE
- DECISION THEORY
- ESTIMATION THEORY
- COORDINATE SYSTEMS
- LINEAR TRANSFORMATION
- GRAPH THEORY
- ALGORITHMS
- MACHINE LEARNING
- DATA COLLECTION, MODELLING, AND COMPILATION
- DATA ANALYSIS
- DATA PRESENTATION AND VISUALIZATION
- DATASCIENCE SOFTWARE TOOLS
- PROGRAMMING LANGUAGES FOR DATA SCIENCE
- APPLICATIONS OF DATA SCIENCE.
Show More
Product Format
Product Details
ISBN-13:
9781693798924
ISBN-10:
1693798921
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
134
Carton Quantity:
58
Product Dimensions:
5.98 x 0.29 x 9.02 inches
Weight:
0.42 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Mathematical & Statistical Software
Descriptions, Reviews, Etc.
publisher marketing
Gain an understanding of the foundations of data science and its applications. This short book does not require technical abilities or cover how to code. The author focuses on nontechnical skills, such as the management of data science implementation efforts. This book is recommended for beginners and anybody who want to understand Data Science in an easy way. You don't need a big textbook to master Data Science today. Get your copy now Book ObjectivesThis book is an introduction to data science with the following objectives:
- To help you understand the correct meaning of data science.
- To help you understand the various fields that make data science.
- To familiarize you with various algorithms used in data science.
- To introduce you to the most popular data science software tools.
- To help you understand the best languages for data science tasks.
- To help you know where and how you can apply data science in your business.
- Anybody who needs to familiarize themselves with the fundamentals of data science..
- Anybody who needs a thorough introduction to data science before venturing into its practicalities..
- Anybody who needs to know where and how they can apply data science in their business.
- Professionals in data science, computer programming, computer scientist.
- Professors, lecturers or tutors who are looking to find better ways to explain python for data analysis to their students in the simplest and easiest way.
- Students and academicians, especially those focusing on python programming, computer science, neural networks, machine learning, and deep learning.
- Anybody who needs to understand the various approaches, tools, and theories underlying data science.
- Python 3.X
- Numpy
- Pandas
- Matplotlib
- BASICS OF DATA SCIENCE
- DECISION THEORY
- ESTIMATION THEORY
- COORDINATE SYSTEMS
- LINEAR TRANSFORMATION
- GRAPH THEORY
- ALGORITHMS
- MACHINE LEARNING
- DATA COLLECTION, MODELLING, AND COMPILATION
- DATA ANALYSIS
- DATA PRESENTATION AND VISUALIZATION
- DATASCIENCE SOFTWARE TOOLS
- PROGRAMMING LANGUAGES FOR DATA SCIENCE
- APPLICATIONS OF DATA SCIENCE.
Show More