Survey of Data Science
Survey of Data Science8 H 42 M
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Episodes
- What is Data Science
- Overview
- Data Science Activities
- Data Hygiene
- Exploratory Data Science
- The Foundations of Data Exploration
- Statistics of Data
- Visualization of Data
- Selection of Data Factors
- Unstructured Data
- Structure is Important
- Storage of Unstructured Data
- Find Results in Unstructured Data
- Compare Unstructured Data
- Associative Rules
- Measuring Association
- Quality of Rules
- Decision Trees
- Classifying Data
- Basic Decision Trees
- Decision Tree Variations
- Linear Regression
- Simple Linear Regression
- Quality of Linear Models
- Logistic Regression
- A First Logistic Regression
- Evaluating Logistic Regression Models
- Neural Networks
- Neural Network Foundations
- Natural Language Processing
- Text Representation
- The Skip-Gram Algorithm
- The Lambda Architecture
- The Lambda Architecture
- Kafka Basics
- The Batch Layer
- The Speed Layer
- The Serving Layer
- Data Science Roles
- The Data Science Team
- Data Wrangler
- Data Engineer
- Quantitative Analyst
- Machine Learning Engineer
- Framework Administrator
- Business Analyst
Overview
8 M



- Episode Description
What kind of activities do data scientists do? What roles are there are what skills do they require? This overview gives you a high level introduction to the topics we shall cover in the episodes that comprise this course.