Predictive Analytics Specialist — Industry Path
Predictive Analytics Specialist — Industry Path
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Practical Data Analytics for BFSI
Mastering AI for Healthcare
Ultimate Enterprise Data Analysis and Forecasting using Python
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Description
BUNDLE OBJECTIVE
This bundle is tailored for Data Analysts, Data Scientists, Business Analysts, Predictive Analytics Specialists, Python Developers, and Machine Learning Engineers looking to gain industry-focused predictive analytics expertise. Through hands-on applications and real-world use cases, learners will master Python-driven predictive modeling, AI integration, and time series forecasting for BFSI, healthcare, and enterprise domains. By the end, readers will be capable of delivering actionable insights and building robust, data-driven solutions across industries.
KEY FEATURES
Hands-on predictive analytics for BFSI, Healthcare, and Enterprise
Build industry-ready time-series and forecasting models in Python
Integrate AI techniques for data-driven decision-making
Practical examples and case studies for immediate application
Transition confidently from intermediate to expert Python user
DESCRIPTION
The Predictive Analytics Specialist — Industry Path bundle is a 3-book collection offering a comprehensive learning path for Python-driven predictive analytics across BFSI, healthcare, and enterprise domains.
Practical Data Analytics for BFSI — A guide for intermediate practitioners and aspiring BFSI analytics professionals. Address the sector’s unique challenges using AI and ML models. Hands-on examples with Python, SQL, IBM SPSS, and Power BI make this book indispensable.
Mastering AI for Healthcare — Explore how AI is transforming healthcare, improving clinical outcomes and operational efficiency. Structured, real-world examples help readers understand and apply AI in healthcare analytics.
Ultimate Enterprise Data Analysis and Forecasting using Python — Master time series analysis and forecasting in Python. From classical AR, MA, ARMA, and ARIMA models to advanced exponential smoothing and ETS methods, this book offers a complete, practical approach with real-world enterprise use cases.
Together, these titles empower learners to analyze, forecast, and model data effectively across multiple industries, translating data insights into actionable business decisions.
WHAT WILL YOU LEARN
Apply predictive analytics for BFSI, Healthcare, and enterprise datasets
Build robust time-series and forecasting models using Python
Integrate AI for data-driven insights and decision-making
Utilize Python, SQL, IBM SPSS, and Power BI for analytics
Develop industry-ready workflows for data analysis and reporting
WHO THIS BUNDLE IS FOR
Ideal for data analysts, scientists, engineers, Python developers, business analysts, and machine learning engineers seeking practical, industry-focused predictive analytics skills. Basic knowledge of Python is recommended.
Table of Contents
TABLE OF CONTENTS
Practical Data Analytics for BFSI
Introduction to BFSI Analytics
Python and SQL for BFSI Data Analysis
IBM SPSS and Power BI Applications
AI and ML Modeling for BFSI
Real-World BFSI Use Cases
Mastering AI for Healthcare
Introduction to Healthcare Data and AI
Clinical Outcome Prediction Models
Operational Analytics in Healthcare
AI Applications and Case Studies
Ultimate Enterprise Data Analysis and Forecasting using Python
Python Packages for Data Analysis and Forecasting
Classical Models: AR, MA, ARMA, ARIMA
Advanced Techniques: Exponential Smoothing & ETS
Time-Series Forecasting Workflows
Real-World Enterprise Applications