What You Need to Know Before
You Start
Starts 7 June 2025 14:06
Ends 7 June 2025
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1 hour 21 minutes
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Paid Course
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Overview
In the dynamic landscape of modern business, the ability to glean insights from data has become not just a competitive advantage but a necessity. Enter the realm of Business Analytics, where data transforms into actionable intelligence, driving strategic decisions and fostering growth.
In this comprehensive guide, we delve into the world of Business Analytics, exploring its myriad benefits, career prospects, and the path to success in this burgeoning field.
Syllabus
- Introduction to Business Analytics
- Data Science Fundamentals
- Introduction to Analytical Tools and Software
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Data-Driven Decision Making
- Business Analytics Strategy and Implementation
- Career Pathways in Business Analytics
- Capstone Project
- Course Review and Next Steps
Definition and Importance
Overview of Business Analytics in the Digital Age
Key Benefits for Organizations
Data Collection and Cleaning
Data Exploration Techniques
Introduction to Statistical Analysis
Overview of Popular Tools (Excel, R, Python)
Basic Functions and Features of Each Tool
Selecting the Right Tool for the Task
Summarizing Business Data
Visualization Techniques and Tools
Reporting and Communication of Findings
Understanding Predictive Modeling
Introduction to Machine Learning Algorithms
Implementing Basic Predictive Models
Basics of Optimization Techniques
Application of Prescriptive Models in Decision Making
Case Studies on Prescriptive Analytics
Framework for Decision Making with Analytics
Biases and Pitfalls in Data Interpretation
Best Practices for Delivering Insights
Building an Analytics-Driven Culture
Roles and Responsibilities in Business Analytics
Case Studies of Successful Analytics Implementations
Overview of Career Opportunities
Essential Skills and Qualifications
Developing a Career Plan in Analytics
Application of Learned Concepts to a Real-World Problem
Presentation of Analytical Findings
Feedback and Evaluation
Summary of Key Concepts
Resources for Continued Learning
Building a Network in the Analytics Community
Taught by
Makeintern Course
Subjects
Data Science