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beginner
Updated: April 2026
Business Analytics & Data Visualization
Master the "gold standard" of business STEM. This course transforms you from a "gut-feeling" manager into a data-driven leader by teaching you to turn raw numbers into high-stakes strategy. You will gain hands-on mastery of…
Duration
Lectures
15
Language
English
Level
beginner
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Course Curriculum
Lessons
4 items
Lesson 1: The Analytics Four: The Maturity Curve
The journey of a data-driven leader starts with understanding that not all data insights are created equal. T…
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Lesson 2: Kitchen Prep: The Art of Data Cleaning
In the world of business analytics, we have a saying: GIGO (Garbage In, Garbage Out). If your data is messy,…
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Lesson 3: Python Basics: The Data Engine
While many beginners start with Excel, professional-grade analytics requires a more robust engine: Python. Py…
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Practical Assignment
Practical Assignment: "The Clean-Up" Brief: You are the new operations lead at a coffee startup. The previous…
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Quizzes
0 items
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Lessons
4 items
Lesson 1: Visual Cues: The Science of "Pre-attentive Attributes"
Before a user even reads a single word on your dashboard, their brain has already processed color, size, and…
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Lesson 2: Chart Selection: The "Grammar" of Graphics
Choosing the wrong chart is the fastest way to lose an audience. Every data relationship has a "natural" visu…
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Lesson 3: Dashboard Flow: The "F-Pattern" & Cognitive Load
A dashboard should not be a "junk drawer" of every chart you made. It needs a logical flow that mirrors how p…
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Practical Assignment
Practical Assignment: The "Executive Insight" Dashboard The Brief: You are the Senior Analytics Lead for Glob…
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Quizzes
0 items
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Lessons
3 items
Lesson 1: Regression vs. Classification: The Two Paths of Prediction
In the world of Machine Learning (ML), your first task is always to identify what kind of "answer" you are lo…
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Lesson 2: Features and Labels: The Ingredients and the Dish
To build a model, you have to understand the relationship between your data points. We categorize data into F…
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Lesson 3: The 80/20 Split: Training vs. Testing
The biggest trap in predictive modeling is Overfitting—building a model that is so "smart" it memorizes your…
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Quizzes
0 items
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Lessons
4 items
Lesson 1: The "So What?" Factor: Communicating for Impact
Junior analysts often make the mistake of presenting their process (the math and the coding) rather than thei…
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Lesson 2: Algorithmic Bias: The Ethics of the Machine
The phrase "Algorithms are objective" is one of the most dangerous myths in modern business. Because algorith…
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Lesson 3: Data Privacy: Navigating GDPR and CCPA
We are living in the era of Data Sovereignty. Governments have realized that personal data is the most valuab…
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Practical Assignment
Practical Assignment: The Strategy Memo The Brief: You are presenting your sales forecast from Module 3 to th…
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Quizzes
0 items
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More Details
Course Overview
Full Course Description and Learning Context
Master the “gold standard” of business STEM. This course transforms you from a “gut-feeling” manager into a data-driven leader by teaching you to turn raw numbers into high-stakes strategy. You will gain hands-on mastery of Python, Tableau, and Predictive Modeling to forecast trends and drive market-leading decisions.
What You’ll Learn
Master the four types of analytics (Descriptive, Diagnostic, Predictive, Prescriptive) to drive business growth.
Clean and prepare complex datasets using Python and the Pandas library.
Build high-impact, executive-level dashboards in Tableau using visual psychology.
Create Linear Regression models to forecast future sales and market trends.
Navigate the ethics of AI, including Algorithmic Bias and data privacy laws like GDPR/CCPA.
Target Audience
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Materials Included
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Requirements / Instructions
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