Se original
0 ratings
Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories
genuine image
Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories
This book will help you learn more about data analytics and what you can use it for.
Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories
vare #: 145420247

Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories

vare #: 145420247

NOK 322

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from US

På lager
US Importert fra USA-butikk
Bestill nå og få den rundt Tirsdag, Juli 21
Sikker transaksjonSikker transaksjon

Ubuy arbeider hardt for å beskytte din sikkerhet og personvern. Vårt avanserte betalingssikkerhetssystem sikrer konfidensialitet ved å kryptere informasjonen din under overføring ved hjelp av AES (Advanced Encryption Standards) og SSL (Secure Socket Layer)-protokoller. Betalingsopplysningene dine er 100 % sikre da vi ikke deler betalingsopplysningene dine med tredjepartsselgere.

Våre beste leveringspartnere
  • fedex
  • dhl
This book will help you learn more about data analytics and what you can use it for.
U-Care-garanti:
Ingen
Velg en plan
fast shipping

Fast
Shipping

free return

Gratis
retur*

Sikret innpakking

Sikret innpakking

100 % originale produkter

100 % originale produkter

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Kjøp nå.

Hva skiller seg ut

Comprehensive Coverage
This guide offers an extensive overview of data analytics using Python, equipping readers with essential theories and practical applications to enhance their analytical skills effectively.
Practical Tips
Packed with actionable tips and tricks, the book provides real-world examples that help users apply Python data analytics techniques to solve complex data challenges efficiently.
User-friendly Approach
Designed for all skill levels, the guide fosters an accessible learning environment, making it easy for beginners to grasp Python data analytics without overwhelming technical jargon.

Produkt detaljer

Shop Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories online at a best price in Norway. 1677200952
Vekt av varen1.5 lbs (680 gram)

Who Should Buy?

Suitable For
  • Beginners in Analytics

    Ideal for users starting with data analytics who need structured guidance and actionable tips using Python.

  • Professionals Upskilling

    Beneficial for data professionals seeking to enhance their Python skills and apply data analytics theories effectively.

  • Students in Data Science

    Perfect for students pursuing data science courses wanting practical examples and insights to complement their studies.

Not Suitable For
  • Advanced Data Analysts

    Not suitable for experts who are familiar with advanced analytics concepts and looking for in-depth technical content.

  • General Programmers

    General programmers without data analytics interest may find the content irrelevant and lacking in broader programming insights.

  • Casual Learners

    Casual readers seeking a light overview may find the comprehensive nature of the guide too dense and rigorous.

PRODUKTBESKRIVELSE

Python Data Analytics: Comprehensive Guide of Tips and Tricks using Python Data Analytics Theories

Har du noen spørsmål? Chat med oss

Spørsmål og svar for kunde

  • spørsmål: What are the main topics covered in 'Python Data Analytics'?

    svar: The guide delves into essential topics such as data manipulation using Pandas, data visualization techniques with Matplotlib and Seaborn, statistical analysis, and machine learning application. These topics provide readers with a robust understanding of how to leverage Python for insightful data analysis, ensuring a well-rounded competence. Practical scenarios include real-world data projects like customer segmentation or sales forecasting.
  • spørsmål: Is this guide suitable for beginners in data analytics?

    svar: Yes, 'Python Data Analytics' is tailored for both beginners and those with some prior experience. The guide starts with fundamental concepts and gradually transitions to advanced techniques, making it accessible for all skill levels. For instance, a beginner can first learn data structures and functions, and as they advance, they can tackle complex data scenarios like predictive modeling.
  • spørsmål: Can I learn data visualization techniques from this book?

    svar: Absolutely! The guide covers various data visualization methods using libraries like Matplotlib and Seaborn. You will learn how to create insightful charts and graphs to represent data effectively. For example, if you're working on a sales dataset, you'll be guided on how to visualize trends and compare performance metrics through compelling visualizations.
  • spørsmål: What practical applications of Python data analytics does the book include?

    svar: The guide presents practical applications such as analyzing customer behavior, optimizing marketing strategies, and forecasting trends using historical data. By applying the concepts learned, readers can engage in real-world projects like analyzing user engagement metrics for an e-commerce site, enabling data-driven decision-making to improve outcomes.
  • spørsmål: Will the guide cover machine learning in data analytics?

    svar: Yes, it includes an introduction to machine learning concepts and how they can be integrated into data analytics. You will learn about popular algorithms, model evaluation, and techniques to apply them effectively. For instance, this could help you predict future sales based on historical data patterns, providing actionable insights for your business.
  • spørsmål: What programming knowledge do I need before reading this guide?

    svar: A basic understanding of Python programming is recommended before diving into the guide. Familiarity with data types, control structures, and functions will greatly enhance your learning experience. If you already know how to write simple scripts, you’ll find it easier to grasp the data manipulation and analysis techniques showcased in real-world examples.
  • spørsmål: How does this book help improve data analysis skills?

    svar: The guide is structured to build a solid foundation and progressively introduce advanced analytics techniques. It emphasizes hands-on exercises that encourage practical application of learned skills. For effective learning, you might work on datasets relevant to your field, whether it’s finance, health, or marketing, enhancing your ability to interpret and analyze real data.
  • spørsmål: What tools do I need to apply the concepts from the guide?

    svar: You'll need a Python environment set up on your machine, such as Anaconda or Jupyter Notebook, along with libraries like Pandas, Matplotlib, and Scikit-learn. These tools are essential for running code examples and exercises from the guide. For instance, you could load a dataset in Jupyter, perform data cleaning using Pandas, and visualize the results, making the learning interactive.
  • spørsmål: Where can I buy 'Python Data Analytics' in Norway?

    svar: You can purchase 'Python Data Analytics: Comprehensive Guide of Tips and Tricks' on Ubuy, a reliable e-commerce platform that offers a range of books and resources for learning. Ubuy often features competitive options, allowing you to conveniently add this insightful guide to your library.
  • spørsmål: How are the tips and tricks presented in the guide?

    svar: The tips and tricks in the guide are presented in a clear, structured format, often accompanied by easy-to-follow examples and code snippets. This approach helps readers not only understand theoretical concepts but also see them in action. For instance, one might learn specific data cleaning techniques that they can immediately try on their own datasets.

AI & Machine Learning Editorial Review

Fant ingen redaksjonelle anmeldelser

Kundeanmeldelser og vurderinger

5.0
1 kunders vurderinger
  • 5 stjerne
    100%
  • 4 stjerne
    0%
  • 3 stjerne
    0%
  • 2 stjerne
    0%
  • 1 stjerne
    0%

Vurder dette produktet

Del tankene dine med andre kunder

Fordeler

  • In-depth coverage of analytics
  • User-friendly explanations
  • Practical tips and tricks
  • Great for beginners and experts
  • Engaging examples and exercises

Ulemper

  • Some advanced topics may lack detail.

Platform Trust & Buyer Confidence

trustpilot logo
4.3/5 9,000 + reviews
Read reviews
MT
Mohd
Verified buyer

“The product received very good packaging & safe…Thank You”

16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer

“Accurate delivery timing given”

16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer

“Not madly expensive like I thought, and much quicker than promised.”

15 June 2026 · via Trustpilot
LM
Leila
Verified buyer

“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”

6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer

“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”

12 June 2026 · via Trustpilot
Sikker utsjekk Global Delivery Enkel retur Genuine Products

Produktets prishistorikk

Viktig informasjon

  • Begrensninger: For produkter som fraktes internasjonalt, vennligst merk at eventuell produsentgaranti kanskje ikke er gjeldende; produsentens tjenestealternativer er kanskje ikke tilgjengelige; produktveiledninger, instrukser og sikkerhetsadvarsler er kanskje ikke tilgjengelig på destinasjonslandets språk; produktene (og medfølgende materiell) er kanskje ikke laget i samsvar med destinasjonslandets standarder, spesifikasjoner og krav om merking; og det kan være at produktene ikke har samme spenningsgrad og elektriske standard som destinasjonslandet eller ikke følger (det må brukes adapter eller strømomformer der dette gjelder). Mottakeren er ansvarlig for å forsikre seg om at produktet lovlig kan importeres til destinasjonslandet. Ved bestilling fra Ubuy eller deres partnere er mottakeren den registrerte importøren, og må etterleve alle lover og reguleringer i destinasjonslandet.
  • Ikke alle produktene som er opplistet hos Ubuy er til salgs, siden Ubuy er en global søkemotor. Produkter er underlagt reguleringer for eksport og handel.

NOK 322

Bestill nå og få den rundt Tirsdag, Juli 21

QTY:

Sikker transaksjonSikker transaksjon

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Våre beste leveringspartnere
  • fedex
  • dhl
Rask levering over grenser

Funksjoner og fordeler

  • Comprehensive guide on Python data analytics.
  • Learn essential data science concepts and applications.
  • Understand distinctions between big data, data science, and data analytics.
  • Introduction to Python programming tailored for data analysis.
  • Gain insights into predictive analytics and data mining techniques.
  • Step-by-step guidance on developing regression and classification algorithms.

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.