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Item #:
142556232
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components
87% of respondents would recommend this to a friend
Item #:
142556232
AED 218
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This book promises that by the end of the reading, the readers will understand time series and forecasting techniques, and also learn how to analyze, design, and maintain the solutions.
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What Stands Out
Comprehensive Data Analysis
Offers in-depth insights into enterprise data analysis techniques using Python, catering specifically to businesses seeking enhanced data-driven decision-making capabilities for maximizing operational efficiency.
Cloud Integration
Seamlessly integrates with Azure Time Series Insights and AWS Forecast to leverage cloud technologies, providing users with flexibility and scalability for their data analysis projects efficiently.
Practical Modeling Techniques
Focuses on hands-on modeling strategies using Python, empowering users to effectively forecast trends and patterns, thus addressing common predictive challenges faced by enterprises today.
Product Details
| Publisher | Orange Education Pvt Ltd |
| Publication date | 28 Dec. 2023 |
| Language | English |
| Print length | 442 pages |
| ISBN-10 | 8119416449 |
| ISBN-13 | 978-8119416448 |
| Dimensions | 19.05 x 2.54 x 23.5 cm |
| Book 3 of 3 | Predictive Analytics Specialist u2014 Industry Path |
Who Should Buy?
-
Data Scientists
Ideal for data scientists looking to leverage Python for advanced data analysis and forecasting techniques using cloud platforms.
-
Business Analysts
Perfect for analysts who need to analyze enterprise data trends and create accurate forecasts for informed decision-making.
-
Cloud Engineers
Useful for cloud professionals interested in integrating data analysis tools with Azure and AWS for enhanced insights.
-
Beginner Programmers
Not suited for individuals with limited programming experience, as Python and cloud platform knowledge is essential.
Product Description
Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components ... Analytics Specialist — Industry Path Band 3)
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Pros
- Comprehensive data analysis techniques
- Easy to follow instructions
- In-depth forecasting methods
- Great integration with Azure and AWS
- Real-world examples enhance learning
Cons
- Could benefit from more advanced topics.
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AED 218
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Features & Benefits
- Comprehensive coverage of Time Series Analysis and Forecasting using Python.
- Hands-on examples and real-world case studies for practical understanding.
- Master various Time Series Models including AR, MA, ARIMA, and Deep Learning techniques.
- Ideal for Data Analysts, Data Scientists, and Machine Learning Engineers at all skill levels.
- Connects industry problems with solutions using current tools and technology.
- Leverage cloud platforms for efficient forecasting, gaining insights across sectors.
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