0 ratings
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
This book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders.
SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Barang #: 210326851

SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications

Barang #: 210326851

IDR 1006475

Price Details

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

*All items will import from AS

0 ratings Tulis ulasan
Persediaan
AS Diimpor dari toko USA

QTY:

Pesan sekarang dan dapatkan kira-kira pada Sunday, September 13
Our Top Logistics Partners
  • fedex
  • dhl
This book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders.
Garansi U-Care:
Tidak ada
Pilih rencana
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified


paypal payment
visa payment
mastercard payment
american express payment
docu wallet payment
dana payment
bni va payment
bri va payment
danamon va payment
atm permata payment
Note: Step Down Voltage Transformer required for using electronics products of AS store (110-120). Recommended power converters Beli Sekarang.

What Stands Out

Comprehensive Coverage
This edition offers extensive coverage of SQL techniques tailored for data analytics, ensuring users can handle real-world datasets efficiently and effectively.
Hands-On Approach
Engage with practical exercises and real-world scenarios that enhance learning and application of advanced SQL skills for data-driven decision-making.
Expert Insights
Gain perspectives from industry experts that provide invaluable tips and strategies, making complex SQL concepts accessible and applicable to various analytical challenges.

Rincian Produk

Shop SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications online at a best price in Indonesia. 1836646259
Publisher Packt Publishing
Publication date November 21, 2025
Edition 4th ed.
Language English
Print length 336 pages
ISBN-10 1836646259
ISBN-13 978-1836646259
Item Weight 1.27 pounds (580 grams)
Dimensions 7.5 x 0.76 x 9.25 inches (19.1 x 1.9 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    Ideal for analysts seeking to improve their SQL skills for deeper data insights and reporting.

  • Business Intelligence Experts

    Perfect for BI professionals aiming to leverage SQL for effective data analysis in decision-making.

  • Technical Students

    Beneficial for students pursuing data science or analytics courses needing advanced SQL knowledge.

Not Suitable For
  • Beginners

    Not suitable for those with no prior SQL knowledge; the content may be too advanced.

DESKRIPSI PRODUK

SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications

Punya Pertanyaan? Berbincanglah dengan kami

Pertanyaan & Jawaban Pelanggan

  • pertanyaan: Who is this book intended for?

    menjawab: This book is for aspiring data analysts, data engineers, backend developers, business analysts, and students with basic SQL familiarity.
  • pertanyaan: What will I learn from this book?

    menjawab: You will learn advanced SQL techniques, data manipulation, statistical analysis, and how to create actionable insights from raw data.
  • pertanyaan: Do I need prior SQL experience?

    menjawab: Yes, basic SQL familiarity is recommended to get the most out of this book.

Data Mining Editorial Review

**** SQL for Data Analytics (Fourth Edition) is a highly-regarded resource for those looking to deepen their understanding of SQL and its role in data analysis. This book is lauded for its structured and coherent approach, leading readers from foundational concepts to advanced applications in a logical progression that mirrors professional usage. Beginning with basic SQL techniques such as data manipulation, filtering, and joins, the authors gradually introduce more complex topics, including performance tuning and data types like JSON, ensuring that readers not only learn the syntax but also how to apply it in real-world scenarios. One of the standout features of this edition is its practicality. It places Considerable emphasis on how SQL contributes to decision-making processes—helping analysts recognize patterns, diagnose issues, and extract valuable insights from complex datasets. The case studies presented at the end of the book effectively encapsulate these principles, demonstrating SQL's practical applications in real business environments. While the book is particularly strong for beginners, equipping them with a robust foundation, it also serves as an excellent resource for seasoned professionals. Its focus on practical exercises that follow each concept aids in reinforcing learning and supports self-study. Importantly, the inclusion of integration with Python tools like SQLAlchemy and pandas broadens the book's applicability in modern data workflows where SQL is often just one part of the larger analytical toolkit. However, the book does have its limitations. It leans heavily on PostgreSQL syntax, which can pose challenges for readers working in other database environments like Snowflake or SQL Server. Suggestions for comparison or translations between different SQL dialects could enhance the book’s relevance in diverse setups. Additionally, modern tools and concepts such as dbt or advanced data modeling could be integrated to prepare readers for future developments in the field. Overall, SQL for Data Analytics is a valuable addition to the library of both budding data analysts and experienced practitioners seeking to refine their skills. Its accessible style, combined with practical applications and a focus on the conceptual underpinnings of SQL, makes it a must-read for anyone serious about working with data. **

Customer Reviews & Ratings

1 peringkat pelanggan
  • 5 bintang
    100%
  • 4 bintang
    0%
  • 3 bintang
    0%
  • 2 bintang
    0%
  • 1 bintang
    0%

Ulas produk ini

Bagikan pikiran Anda kepada pelanggan lain

Pro

  • Clear explanations of SQL fundamentals and advanced concepts.
  • Emphasizes SQL's role in decision-making and data insights.
  • Practical exercises following each concept reinforce understanding.
  • Strong coverage of performance tuning and data processing techniques.
  • Integrates concepts with Python for modern data workflows.

Kontra

  • Heavily focused on PostgreSQL; less useful for users of other SQL dialects.

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9300 + ulasan
Read reviews
JG
Jazz
Verified buyer

“Easy to use and always helpful and sorts any issues I've had past and present”

1 September 2026 · via Trustpilot
EK
Emmanuel
Verified buyer

“I always receive support when I engage customer service. Overall my experience with UBUY has been top notch. Keep up the good work.”

31 August 2026 · via Trustpilot
F
fnd
Verified buyer

“The delivery was fast and the product came undamaged and authentic.”

29 August 2026 · via Trustpilot
LC
Leana
Verified buyer

“Ubuy is extremely efficient and to order online is an easy process. The verity of products to buy is really unlimited! My order was urgent and I got it on time. The products are great! Thank you Ubuy!”

25 August 2026 · via Trustpilot
HL
Hengo
Verified buyer

“Fast, convenient and cheap. Great store!”

27 August 2026 · via Trustpilot
Pembayaran Aman Global Delivery Easy Returns Genuine Products

Product Price History

Informasi penting

  • Batasan : Untuk produk yang dikirim secara internasional, harap diperhatikan bahwa garansi pabrik mungkin tidak berlaku; pilihan layanan pabrikan mungkin tidak tersedia; manual produk, instruksi, dan peringatan keselamatan mungkin tidak tersedia dalam bahasa negara tujuan; produk (dan material penyerta) mungkin tidak dirancang sesuai standar, spesifikasi, dan persyaratan pelabelan negara tujuan; dan produk mungkin tidak sesuai dengan voltase negara tujuan dan standar kelistrikan lainnya (memerlukan penggunaan adaptor atau konverter jika tersedia). Penerima bertanggung jawab untuk memastikan bahwa produk tersebut dapat diimpor secara sah ke negara tujuan. Saat memesan dari Ubuy atau afiliasinya, penerima tercatat sebagai importir dan harus mematuhi semua hukum dan peraturan negara tujuan.
  • Tidak semua produk yang terdaftar di Ubuy sedang dijual, karena Ubuy adalah mesin pencari global. Produk tunduk pada peraturan ekspor/perdagangan.