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Item #:
65801021
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
Item #:
65801021
INR 4843
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INR 4843
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What Stands Out
Beginner-Friendly
Designed for non-programmers, this course simplifies complex data concepts, making analytics accessible and understandable without prior coding experience.
Comprehensive Curriculum
Covers essential data engineering topics, providing a robust foundation in analytics, equipping learners with the necessary skills for modern data environments.
Practical Applications
Utilizes real-world examples and hands-on exercises, ensuring learners can immediately apply their knowledge in practical scenarios, enhancing retention and confidence.
Product Details
| Publisher | Brian McMillan |
| Publication date | August 2, 2021 |
| Language | English |
| Print length | 449 pages |
| ISBN-10 | 1737536536 |
| ISBN-13 | 978-1737536536 |
| Item Weight | 1.92 pounds (870 grams) |
| Dimensions | 7.5 x 1.06 x 9.25 inches (19.1 x 2.7 x 23.5 cm) |
Who Should Buy?
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Business Professionals
Ideal for those looking to understand data analytics to drive business decisions without technical coding skills.
-
Marketing Specialists
Great for marketers who want to leverage data insights to optimize campaigns without deep technical knowledge.
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Students in Analytics
Perfect for students seeking a foundational understanding of data engineering concepts without prior programming experience.
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Experienced Programmers
Not suitable for seasoned developers who require advanced analytics techniques beyond beginner-level content.
Product Description
Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
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Production & Operations Editorial Review
Building Data Products is an excellent resource for non-programmers who want to learn about data and analytics engineering. The book provides a comprehensive introduction to the field, covering topics such as data collection, data storage, data analysis, and data visualization. The author does a great job explaining technical concepts in a clear and accessible way, making it easy for readers to grasp the material. The book includes practical examples and case studies, allowing readers to apply what they've learned to real-world scenarios. Overall, Building Data Products is a must-read for anyone interested in data and analytics engineering.
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Pros
- Comprehensive introduction to data and analytics engineering
- Clear and accessible explanations of technical concepts
- Includes practical examples and case studies
- Helps readers apply learning to real-world scenarios
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