Data Science for Beginners - A Curriculum | Microsoft

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1. Introduction

Introduction

1.1 Defining Data Science

1.1 Defining Data Science - Assignment

1.1 Defining Data Science - Solution

1.2 Ethics

1.2 Ethics - Assignment

1.3 Defining Data

1.3 Defining Data - Assignment

1.4 A Brief Introduction to Statistics and Probability

1.4 Statistics and Probability - Assignment

2. Working with Data

2.1 Relational Databases

2.1 Relational Databases - Assignment

2.2 Non-Relational Data

2.2 Non-Relational Data - Assignment

2.3 Python and the Pandas Library

2.3 Python and the Pandas Library - Assignment

2.4 Data Preparation

2.4 Data Preparation - Assignment

3. Data Visualization

3.1 Visualization quantities

3.1 Visualization quantities - Assignment

3.2 Visualization distributions

3.2 Visualization distributions - Assignment

3.3 Visualization proportions

3.3 Visualization proportions - Assignment

3.4 Visualization relationships

3.4 Visualization relationships - Assignment

3.5 Meaningful visualizations

3.5 Meaningful visualizations - Assignment

4. Data Science Lifecycle

4.1 Introduction

4.1 Introduction - Assignment

4.2 Analyzing

4.2 Analyzing - Assignment

4.3 Communication

4.3 Communication - Assignment

5. Data Science in Cloud

5.1 Introduction

5.1 Introduction - Assignment

5.2 Low code

5.2 Low code - Assignment

5.3 Azure

5.3 Azure - Assignment

6. Data Science in Wild

6.1 Real world examples

6.1 Real world examples - Assignment

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