Corporate Learning & Data Analytics Series — Building Industry- Ready Skills with Measurable Professional Competencies
The Corporate Learning & Data Analytics Series enables schools, colleges, and training programs to equip learners with real-world, job-ready skills in data analysis, business intelligence, and process improvement. Institutions using this program report higher placement rates, improved employability skills, and trackable competency growth in key industry domains, ensuring graduates are workforce-ready with practical data literacy.
Key Focus Areas:
Fundamentals of Data Science: Data collection, cleaning, and transformation techniques for applied analysis
Statistical & Biostatistical Analysis: Hands-on training in descriptive, inferential, and biostatistical methods
Business Intelligence (BI): Live dashboard creation, reporting skills, and analytics using Excel, Google Data Studio, and open-source tools
Big Data Foundations: Introductory concepts in data mining, warehousing, and NoSQL systems
Six Sigma Process Improvement: Applied understanding of DMAIC methodology through case-based exercises
Applied Learning Integration: Live industry case studies, dashboard practice, and field-tested assessment frameworks
This series enables institutions to deliver practical, industry-aligned training with measurable learning outcomes, preparing students for higher employability, smoother industry transitions, and real-world workplace success.
ISBN: 978-81-938823-2-0 (Maiz)
Edition: Part of a 1-Book Series
Author: Sivakumar Narayanasamy
Series Title: Process Improvement Series for Corporate Training
Introduction to Data Analysis is a complete training resource designed for professionals across industries who want to master data-driven decision-making. The book introduces key concepts from everyday data handling to advanced techniques used in Data Warehousing, Business Intelligence, Big Data Analytics, and Six Sigma Process Improvement. It covers practical skills using Excel, Google Data Studio, and free data analysis tools, making it highly applicable for process improvement, operational efficiency, and corporate performance measurement. This book is a foundational resource for employees, managers, and leaders aiming to drive process excellence and informed decision-making within their organizations.
Key Features:
Data Fundamentals: Types, Collection, Processing, and Validation
Transforming Qualitative to Quantitative Data
Data Visualization and Dashboard Reporting
Statistics and Business Intelligence Basics
Big Data Concepts: Structured, Semi-Structured, and Unstructured Data
Data Cleaning, ETL, and Basic Data Mining
Six Sigma DMAIC Process and Statistical Quality Tools
Practical Application using Excel, Google Data Studio, Minitab
Skills: Data-driven decision-making, data visualization, dashboard creation, statistical thinking, process optimization, business analysis, problem-solving using data, and cross-functional reporting techniques.