Overview:

The Data Analytics for Business Results is a 8-hour live, virtual, and practical training. This training will equip participants with key data analytics concepts and skills across Data analytics domains.

Though the discipline of data and analytics has existed for many decades, the analytical models, data management, and software applications underpinning these analytics have evolved significantly. The way data is collected and used in business mean that enterprises are looking for professionals who can understand, analyze, and use the data for improved business performance. In this backdrop, this training is designed for experienced Business Professionals and builds on one’s technical and managerial competencies. Participants will learn real life examples on how data analytics can be applied to various areas of business. This training has a strong focus on the application of data and insights for business performance.

This training uses field-tested business analytics tools and techniques. The training material is constantly updated to match the latest trends and industry best practices. This training uses a variety of approaches including live lessons, classroom discussions, videos, group activities, pre-class readings, case studies, individual exercises, and guest speaker(s). Post training, the instructor is available for any short discussion with the students via email, LinkedIn, phone, or video conferencing tools.

What You Will Learn:

At the completion of the program, students will be able to:

• Identify business opportunities and use-cases for data and analytics
• Improve the adoption of data and analytics solutions in the organization by collaborating with Business, IT, and Data teams based on proven best practices
• Map the process flow and identify activities that add value
• Improve technical competency and decision-making using data based on trade-offs
  
  

Livestream Schedule

Dec. 4, 2023, 10:00 AM-12:00 PM ET
Dec. 7, 2023, 10:00 AM-12:00 PM ET
Dec. 11, 2023, 10:00 AM-12:00 PM ET
Dec. 17, 2023, 10:00 AM-12:00 PM ET

Course Outline

Module 1: 

• Introduction to Data Analytics
• Types of Analytics and Data Science Techniques Taxonomy
• Phases of the Data Analytics Lifecycle
• MAD Framework and Types of Business Insights
• Types of Business Data and Data Types
• 3 types of IT Systems
• Data Quality and its 12 key dimensions
  
  

Module 2: Descriptive Analytics

• Measuring Business Performance with Exploratory Data Analytics
• Measures of Central Tendency and Variation
• Introduction to Associative Data Analytics
• Apriori Techniques
• Hypothesis Testing
  
  

Module 3: Predictive Analytics

• Fundamentals of Predictive Analytics
• Regression Models – Simple Linear Regression and Multiple Linear Regression
• Evaluating Analytics Models
• Fundamentals of ML (Machine Learning) and key characteristics of ML Models
• Supervised & Unsupervised ML Algorithms
  
  

Module 4: Data Story Telling and Decision Science

• Data Storytelling including Data Visualization
• Introduction to Decision Making
• Decision Making Models
• Biases in Decision Making
• Managing your careers in Data Analytics
• Summary and Wrap-up