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Business & Marketing
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beginner
Updated: Jun 4, 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
30m
Lectures
15
Language
English
Level
beginner
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Course Curriculum
Lessons
4 items
Lesson 1: The Analytics Four: The Maturity Curve
1. Descriptive Analytics: The "Hindsight" Foundation Descriptive analytics is the most common form of analysi…
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Lesson 2: Kitchen Prep: The Art of Data Cleaning
1. Handling Null Values (The "Missing Ingredient" Problem) Null values occur when data was never collected or…
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Lesson 3: Python Basics: The Data Engine
1. The DataFrame Concept: Thinking in Vectors In Excel, you interact with Cells (A1, B2). If you want to calc…
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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"
1. The Science of the "Subconscious Scan." The human brain is wired for survival. Long before we learned to r…
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Lesson 2: Chart Selection: The "Grammar" of Graphics
1. Line Charts: The "Time Machine" Line charts are designed for one purpose: continuity. They connect individ…
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Lesson 3: Dashboard Flow: The "F-Pattern" & Cognitive Load
1. The F-Pattern Layout: Hacking Visual Hierarchy Research in eye-tracking proves that users do not look at a…
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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
1. Regression: Predicting the "Quantity" Regression is the primary tool for forecasting. When a business need…
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Lesson 2: Features and Labels: The Ingredients and the Dish
1. Features: The Independent Variables (The Inputs) Features are the individual measurable properties or char…
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Lesson 3: The 80/20 Split: Training vs. Testing
In Instructional Design, the Train/Test Split isn't just a technical step; it is the fundamental "Validation…
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Quizzes
0 items
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Lessons
4 items
Lesson 1: The "So What?" Factor: Communicating for Impact
In Instructional Design, we refer to this skill as The Last Mile of Analytics. You can have the most sophisti…
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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
In the modern economy, data is no longer just a byproduct of business; it is the core asset. We have entered…
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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.
Duration
30m
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
Aspiring Data Analysts looking to transition from basic reporting to advanced business intelligence.
Managers and Team Leads who want to move from
Business Students seeking a STEM-designated skillset in Python and Tableau.
Entrepreneurs who need to forecast demand and optimize their operational budgets.
Materials Included
4 Comprehensive PDF Module Guides (Foundation to Mastery).
Clean and
Custom Python Script Templates (Jupyter Notebooks).
Tableau Dashboard Design Checklist & Style Guide.
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Requirements / Instructions
Basic familiarity with Microsoft Excel is helpful but not mandatory.
A computer capable of running Tableau Public (Free) and Anaconda/Jupyter Notebooks.
No prior coding experience is required; we start with Python basics from scratch.
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