Analytics Project Ideation

Overview

Data analytics is transforming the way businesses operate. But organizations often struggle with identifying opportunities for data-driven decision making and defining a clear analytics project plan to tackle them.

This beginner-level specialization aims to help business leaders, managers, analysts, and data scientists become better at successfully ideating, refining, planning, and executing data analytics projects as a team. This specialization will help learners develop these skills through four courses that demonstrate the design sprint process for different types of analytics projects.

Each course will have 3 key components:

fundamental concepts, use cases, problem identification, and solutioning to develop analytics project ideas.

Syllabus

• **Course 1: Introduction to Data Analytics Ideation**
• Overview of Data Analytics in Business
Role of Data Analytics in Modern Businesses
Case Studies: Successful Analytics Implementation
• Fundamental Concepts of Data Analytics Projects
Basics of Data-Driven Decision Making
Key Phases of an Analytics Project
• Use Case Exploration
Identifying Business Problems
Brainstorming Analytics Solutions
• **Course 2: Problem Identification in Analytics Projects**
• Essential Skills for Problem Identification
Techniques for Problem Exploration
Stakeholder Analysis
• Use Cases
Real-world Problem Identification Examples
Evaluating Business Impact and Feasibility
• Structuring a Problem Statement
Constructing Clear Objectives
Establishing Success Metrics
• **Course 3: Developing Analytics Solutions**
• Solution Ideation Techniques
Creativity in Solution Development
Collaborative Team Approaches
• Case Studies in Solution Development
Examples of Innovative Analytics Solutions
Iterating on Ideas and Prototyping
• Prioritizing Solutions
Cost-Benefit Analysis
Assessing Risks and Dependencies
• **Course 4: Planning and Executing Analytics Projects**
• Creating a Project Roadmap
Planning Tools and Techniques
Setting Milestones and Deadlines
• Execution Strategies
Building a Cross-functional Team
Agile and Design Sprint Methodologies
• Continuous Improvement and Scaling
Feedback Loops and Performance Metrics
Expansion and Scalability of Analytics Solutions

Taught by

Soumya Sen

Subjects

Data Science