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39636560
Python for Data Analytics: A Beginners Guide for Learning Python Data Analytics from A-Z
85% of respondents would recommend this to a friend
Lambar abu:
39636560
XOF 20131
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Yi Oda yanzu, a samu nan da Talata, Oktoba 13
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Learn data analysis using Python with this easy to follow beginners guide.
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What Stands Out
Comprehensive Coverage
This guide covers Python for data analytics from A-Z, ensuring beginners gain a complete understanding of concepts, tools, and techniques used in data analysis.
User-Friendly Structure
Organized in an easily digestible format, this book is designed for newcomers, providing clear explanations and practical examples that simplify the learning process.
Hands-On Projects
Includes hands-on projects that allow readers to apply their knowledge directly, enhancing learning retention and providing real-world experience in data analytics.
Bayanin samfur
- Learn data analysis using Python with this easy to follow beginners guide. It covers all aspects of processing, manipulation, crunching, and cleaning data using Python programming language. It has been designed to prepare you for: analyzing datacreating relevant data visualizationscarrying out statistical analyses for large dataestimating the upcoming future trends by using current dataand lots more!This book will help you learn the various parts of Python programming language, its libraries, and scientific computation using Python. Learn to practically solve extensive sets of problems related to data analysis.Python is on par with other programming languages like MATLAB, Stata, R, SAS, and others when it comes to data analysis and data visualization. Python’s rich set of libraries (mainly Pandas) has grown rapidly in recent years and is considered one of the best among its competitors for tasks related to data manipulation. When combined with Python’s own internal solidity, as a general purpose programming language, we can say that it is an excellent choice to build data centric web applications.You will learn how to use the essential Python libraries required for data analysis like NumPy, Pandas, matplotlib, IPython, and SciPy. Each one of them performs a particular functionality for data analysis and you will be surprised at how easy it is.So what are you waiting for? Now is your chance to learn hands on Python with ease. Click the BUY NOW button to get started on your Python journey.
| Publisher | Independently published |
| Publication date | September 6, 2019 |
| Language | English |
| Print length | 184 pages |
| ISBN-10 | 1691418838 |
| ISBN-13 | 978-1691418831 |
| Item Weight | 9 ounces (255.15 grams) |
| Dimensions | 6 x 0.42 x 9 inches (15.2 x 1.1 x 22.9 cm) |
Who Should Buy?
-
Beginner Programmers
Ideal for individuals new to programming seeking to learn Python for data analytics in an accessible manner.
-
Data Enthusiasts
Great for those passionate about data analysis who want to gain practical skills using Python effectively.
-
Career Changers
Suitable for professionals looking to switch careers into data analytics and needing foundational Python knowledge.
-
Advanced Users
Not suitable for individuals with extensive programming experience looking for advanced data analytics techniques and tools.
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XOF 20131
Yi Oda yanzu, a samu nan da Talata, Oktoba 13
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Fasaloli & Fa'idoji
- Comprehensive guide for beginners to learn data analysis with Python.
- Covers data processing, manipulation, visualization, and statistical analysis.
- Utilizes popular libraries like Pandas, NumPy, and matplotlib.
- Prepares you for analyzing data and predicting future trends.
- User-friendly approach to solving real-world data analysis problems.
- Ideal choice for anyone looking to build data-centric applications.
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