Data Analytics For Project Management by Surendra Varma Pericherla

Data Analytics for Project Management: Optimize Decisions, Mitigate Risks, Maximize Results and Master Visualization

What you'll learn

Data-Driven Decision Making

KPI Tracking and Visualization

Risk Assessment and Forecasting

Optimization and Scenario Planning

Requirements

Basic Project Management Understanding

Computer Literacy

Description

In today's fast-paced business environment, success hinges on making informed, data-backed decisions. This is especially true in project management, where every choice impacts timelines, budgets, and overall outcomes. Our course, Data Analytics for Project Management: Insights for Success, empowers you to transform your approach and achieve unprecedented results.Learn to go beyond intuition and harness the power of data. Discover how to identify the most critical project metrics (KPIs), collect meaningful data from various sources, and cleanse it for optimal analysis. Master the art of creating compelling dashboards and visualizations that offer real-time insights into your project's health.The course delves into the world of predictive and prescriptive analytics. Build models that forecast potential risks, anticipate delays, and optimize resource needs. Develop the skills to use data for scenario planning, ensuring you make strategic, evidence-based decisions throughout the project lifecycle.We'll explore how to integrate data analytics seamlessly into popular project management software. Get introduced to specialized tools that take your analysis to the next level. Whether you're a seasoned project manager, a team leader, a business analyst, or an aspiring project professional, this course will equip you with the knowledge and tools to excel in a data-driven world.Keywords: data analytics, project management, data-driven decision-making, KPIs, visualization, predictive analytics, prescriptive analytics, optimization, risk management, project management software

Overview

Section 1: Introduction to Data Analytics in Project Management

Lecture 1 Importance of data-driven project management

Lecture 2 Key performance indicators (KPIs) for project tracking

Lecture 3 Data types (structured, unstructured) and sources in project management

Section 2: Data Collection & Preparation

Lecture 4 Data gathering techniques (surveys, project logs, software integrations)

Lecture 5 Data cleaning and preprocessing for analysis

Lecture 6 Ethical considerations in project data handling

Section 3: Data Visualization and Exploration

Lecture 7 Creating effective charts, graphs, and dashboards

Lecture 8 Tools for data visualization (e.g., Excel, Tableau, Power BI)

Lecture 9 Identifying trends and patterns in project data

Section 4: Predictive Analytics for Project Management

Lecture 10 Introduction to statistical modeling concepts

Lecture 11 Time series analysis and forecasting

Lecture 12 Regression analysis for predicting project outcomes

Lecture 13 Risk modeling and simulation techniques

Section 5: Prescriptive Analytics & Decision-Making

Lecture 14 Optimization techniques for resource allocation

Lecture 15 Scenario analysis and "what-if" modeling

Lecture 16 Communicating data-driven insights to stakeholders

Section 6: Tools & Technologies for Project Data Analytics

Lecture 17 Overview of project management software with analytics capabilities

Lecture 18 Spreadsheets (Excel, Google Sheets) for basic analysis

Lecture 19 Specialized data analytics software (R, Python)

Section 7: Assignments

Project Managers: Professionals seeking to enhance their decision-making, risk mitigation, and overall project success through a data-driven approach. Whether you're new to the field or experienced, this course will elevate your skills.,Team Leads & Coordinators: Individuals responsible for managing resources, timelines, and deliverables within projects will gain valuable tools to track progress, forecast needs, and optimize performance.,Business Analysts & Data-Minded Professionals: If your role involves gathering and analyzing data to support project initiatives, this course will provide you with focused techniques to extract actionable insights for the project management context.,Aspiring Project Managers: Those interested in moving into a project management role will gain a powerful advantage by understanding how to leverage data strategically.