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Item #:
90848815
Python For Data Analysis: A Complete Beginner Guide to Wrangling & Analyzing Data Using Python (Code tutorials)
86% of respondents would recommend this to a friend
Item #:
90848815
MUR 1174
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Dip your feet into the world of data analysis by leveraging the power of the most preferred programming language for the job, Python!
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What Stands Out
Comprehensive Curriculum
Offers a thorough introduction to data wrangling and analysis, making it suitable for complete beginners who want to efficiently learn Python for data science applications.
Practical Code Tutorials
Includes hands-on coding tutorials that enhance learning through practical application, allowing users to quickly implement concepts and sharpen their programming skills.
User-Friendly Approach
Designed with accessibility in mind, this guide breaks down complex topics into easy-to-understand segments, empowering users to build confidence in their analytical abilities.
Product Details
- Are you having difficulty in your data analysis processes?And are looking for a way to simplify information gathering, processing and analysis of data flow with speed and accuracy- with Python but don’t know how to get started, or much about this programming language?If you’ve answered YES, keep reading….You Are About To Dip Your Feet Into The World Of Data Analysis By Leveraging The Power Of The Most Preferred Programming Language For The Job, Python!We’re living in a digital era where technology is getting more advanced by the day, data volumes are swelling and information handling is becoming increasingly tiresome, time-consuming and expensive.Any tool that has a significant number of data-oriented features and packages, that can speed up and simplify data processing would be more than a life-saver to any data scientist or business enterprise churning large chunks of data that needs cleaning and better visualization.But you know what, Python offers that and more!I would say that it is its stunning ecosystem and simplicity that makes it the best.Or its cross-functionality, object-orientation that is widely known to streamline complex data sets.Perhaps I’d also mention its dynamic semantics, its entire slew of libraries, heavy support or readability that we all enjoy!But even with all that, I still wouldn’t be able to describe exactly how much Python jibes well with data science or analysis.But chances are you have an idea of how awesome Python is in data analysis, but have been wondering:How does Python work? How would it assist me in data analysis?What if I have never programmed before? Do I still stand a chance?What should I get started with?How do I use packages like Numpy, Pandas and Matplotlib to analyze data?If I am right, then this is exactly where you need to be. This book will give you answers to these and more questions as it shows you how easy data analysis work can be with a platform that has built in data analysis tools and features to do all the heavy lifting.More precisely, you’ll learn:What data science is and why python is ideal for its explorationHow to install and set up Python on Mac, Windows and LinuxWhat anaconda virtual environment looks like and why it’s importantThe basics of Python programming to refresh your mindHow to approach and explore data analysis with NumpyHow to approach and explore data analysis with PandasHow to go about data wrangling with PythonHow to conduct data visualization with Matplotlib …And much more!It’s no secret that the success of any business correlates directly with the ability to extract knowledge and insights from data to make effective strategic decisions, make progress and remain competitive. Python has enjoyed international acclamation for efficient data handling so you can rest assured that you have the right tool.All you need to do is spend a few hours with this simple beginners’ book to understand how to get started.Even if you’ve never used python for anything else before other than simple programming, this book will usher you into this new world of possibilities with python.Don’t be left out….Scroll up and click Buy Now With 1-Click or Buy Now to get started!
| Publisher | Independently published |
| Publication date | June 17, 2020 |
| Language | English |
| Print length | 113 pages |
| ISBN-13 | 979-8654757043 |
| Item Weight | 6.2 ounces (175.77 grams) |
| Dimensions | 6 x 0.29 x 9 inches (15.2 x 0.7 x 22.9 cm) |
| Book 4 of 5 | Code tutorials |
Who Should Buy?
-
Aspiring Data Analysts
Beginners looking to start a career in data analysis will find structured learning and practical examples invaluable.
-
Students and Academics
Ideal for college students or researchers seeking to enhance their data handling and analytical skills using Python.
-
Professionals Transitioning Careers
Individuals switching to data-focused roles will benefit from comprehensive tutorials that ease the understanding of data manipulation.
-
Advanced Users
Experienced data practitioners may find the content too basic and not offering enough depth for their expertise.
Product Description
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Customer Questions & Answers
-
Question:
Do I need prior programming experience to use this guide?
Answer: No, this guide is designed specifically for beginners with no prior programming experience. -
Question:
What tools will I learn to use for data analysis?
Answer: You will learn to use essential Python libraries such as Numpy, Pandas, and Matplotlib. -
Question:
Why is Python preferred for data analysis?
Answer: Python offers a stunning ecosystem, simplicity, and a wealth of libraries that streamline complex data sets.
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Pros
- Easy to use
- High quality materials
- Great customer support
- Reliable performance
- Sleek design
Cons
- A bit heavier than expected.
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Features & Benefits
- Simplify your data analysis processes with Python's powerful tools.
- Designed for beginners, no prior programming experience required.
- Learn essential data analysis techniques using libraries like Numpy and Pandas.
- Gain insights into data wrangling and visualization with Matplotlib.
- Understand the significance of data science for business success.
- Start your journey in data analysis with a comprehensive guide.
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