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Item #:
164383914
Python For Data Analysis: A Complete Beginner Guide to Wrangling & Analyzing Data Using Python (Code tutorials)
84% of respondents would recommend this to a friend
Item #:
164383914
€ 34
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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!
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What Stands Out
Comprehensive Guide
Offers a thorough introduction to data analysis, catering specifically to beginners with step-by-step tutorials to facilitate understanding of Python and its applications in data wrangling.
Hands-On Tutorials
Includes practical coding examples that empower readers to implement data analysis techniques immediately, enhancing learning through real-world applications and fostering confidence in using Python effectively.
Problem-Solving Focus
Addresses common challenges beginners face in data analysis, providing clear solutions and strategies that make complex concepts accessible, ultimately equipping readers with essential skills for future data projects.
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 | 25 Oct. 2022 |
| Language | English |
| Print length | 113 pages |
| ISBN-13 | 979-8353921356 |
| Item weight | 227 g |
| Dimensions | 15.24 x 1.14 x 22.86 cm |
| Book 4 of 5 | Code tutorials |
Who Should Buy?
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Beginners in Data Science
Ideal for individuals new to data science who need foundational skills and understanding of Python programming.
-
Students Learning Python
Suitable for students enrolled in courses that require practical data manipulation and analysis using Python.
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Analysts Transitioning Fields
Great for professionals moving to data analytics from other fields, seeking practical coding skills in Python.
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Experienced Data Scientists
Not suitable for seasoned professionals who may find the content too basic and lacking advanced techniques.
Product Description
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Languages Editorial Review
Python For Data Analysis A Complete Beginner Guide To Wrangling & Analyzing Data Using Python Code Tutorials is a comprehensive resource for beginners aiming to understand data analysis using Python. With 113 pages of detailed content, this guide published independently covers essential code tutorials that help users grasp the intricacies of Python coding. The publication date is relatively recent, reflecting the latest trends and techniques in data science. Users appreciate the clarity of explanations, making difficult concepts more accessible, which is crucial for those just starting their journey in data analysis.
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Pros
- Great for beginners in data analysis
- Clear explanations and tutorials
- Covers essential Python code
- Recent publication with updated content
- Compact size for easy handling
Cons
- Some may find it too brief for advanced topics
Product Price History
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€ 34
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Features & Benefits
- Learn data analysis effortlessly with Python's powerful tools.
- Ideal for beginners with no programming background.
- Step-by-step guidance from installation to advanced techniques.
- Utilize popular libraries like Numpy, Pandas, and Matplotlib.
- Streamline complex data sets for better visualization.
- Unlock insights for strategic business decisions.
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