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Data Analytics & Visualization Basic (RBDA001)


Description
Get started in the high-growth field of data analytics and visualization. Learn job-ready skills that are in demand, like how to explore, analyze and visualize data to gain insights.

No relevant experience required.
Content
  • Getting to Know You :-)
  • 1. Introduction and Goals
  • Handout: Introduction and Goal
  • Introduction and Goals
  • Short Quiz #1
  • 2. Empirical Inquiry, Critical Thinking, and Reasoning
  • Handout: Empirical Inquiry, Critical Thinking, and Reasoning
  • Empirical Inquiry
  • Critical Thinking
  • Knowledge Check: Critical Thinking
  • Inductive and Deductive Reasoning
  • Knowledge Check: Inductive and Deductive Reasonings
  • Short Quiz #2
  • 3. Analytics Strategy
  • Handout: Analytics Strategy
  • Analytics Strategy
  • Short Quiz #3
  • Assignment #1: Framing Data Analytics Problems
  • 4. Understanding Data
  • Handout: Understanding Data
  • Structured and Unstructured Data
  • Knowledge Check: Structured and Unstructured Data
  • Data Types
  • Knowledge Check: Data Types
  • Data Quality
  • Data Governance
  • Short Quiz #4
  • Import and Explore Data in Microsoft Excel & Power BI
  • Datasets
  • Assignment #2: Importing and Exploring Data
  • 5. Exploratory Data Analysis (EDA)
  • Handout: Exploratory Data Analysis
  • Descriptive Statistics
  • Knowledge Check: Descriptive Statistics
  • Data Visualization
  • Knowledge Check: Data Visualization
  • Short Quiz #5
  • Data Visualization with Microsoft Excel
  • Data Visualization with Microsoft Power BI
  • Assignment #3: Exploratory Data Analysis
  • Self Reflection Week 1
  • Self Reflection 1 sample
  • 6. Data Analytics
  • Handout: Data Analytics
  • Data Analytics
  • Correlation
  • Linear Regression
  • Short Quiz #6: Data Analytics
  • Datasets
  • Guide: How to download a csv file from github?
  • Assignment #4: Linear Regression with Microsoft Excel
  • 7. Analytical Modelling/Machine Learning (ML)
  • Linear Regression with Microsoft Excel
  • Logistic Regression with Microsoft Excel
  • Introduction to Machine Learning
  • Simple Text Analytics: Polarity Scores from Customer Reviews
  • Simple Recommender System: Product Recommendation with Collaborative Filtering
  • Self Reflection 2
Completion rules
  • All units must be completed
  • Leads to a certificate with a duration: Forever
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