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Data Science Fundamentals
Curriculum
4 Sections
16 Lessons
8 Hours
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The Data Science Landscape
4
1.1
What Data Scientists Actually Do
35 Minutes
1.2
The Data Science Workflow
33 Minutes
1.3
Types of Data and Where It Lives
33 Minutes
1.4
Tools of the Trade Overview
22 Minutes
Working with Data
4
2.1
Collecting and Importing Data
24 Minutes
2.2
Cleaning Messy Data
28 Minutes
2.3
Exploratory Data Analysis
24 Minutes
2.4
Feature Thinking: What Matters in Data
21 Minutes
Analysis and Modelling
4
3.1
Descriptive Statistics in Practice
32 Minutes
3.2
Correlation and Simple Prediction
36 Minutes
3.3
Introduction to Machine Learning Ideas
35 Minutes
3.4
Evaluating Results Honestly
31 Minutes
Communicating Insights
4
4.1
Charts That Tell the Truth
23 Minutes
4.2
Presenting Findings to Non-Technical Audiences
37 Minutes
4.3
Ethics and Bias in Data
30 Minutes
4.4
Course Project: End-to-End Mini Analysis
33 Minutes
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