Duration
2 days
Overview
Learn what it takes to become a data scientist.
This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.
edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.
What you'll learn
- How the Microsoft Data Science curriculum works
- How to navigate the curriculum and plan your course schedule
- Basic data exploration and visualization techniques in Microsoft Excel
- Foundational statistics that can be used to analyze data
Prerequisites
No prerequisites
Introduction
- Before You Start
- Welcome
- Pre-Course Survey
- Course Introduction
- Welcome to the Course
- What Do You Enjoy About Being a Data Scientist?
- What Does a Data Scientist Do?
- What Kind of Person Succeeds as a Data Scientist?
- What Skills Does a Data Scientist Need?
- What Advice Would You Give an Aspiring Data Scientist?
Module 1: An Introduction to Data
- Exploring Data
- Getting Started with Data
- Sorting and Filtering Data
- Derived Data
- Highlighting Data
- Getting Started with Excel Online
- Lab: Exploring Data
- Lab Instructions
- Lab Check
Module 2: Data Analysis Fundamentals
- Analyzing and Visualizing Data
- Aggregating Data
- Grouping and Summarizing Data
- Visualizing Data
- Analyzing Data in Excel Online
- Lab: Analyzing and Visualizing Data
- Lab Instructions
- Lab Check
Module 3: Getting Started with Statistics
- An Introduction to Statistics
- Measuring Central Tendency
- Measuring Variance
- Skewed Distributions
- Working with Samples
- Correlation
- Hypothesis Testing
- A Handy Handout
- Lab: Basic Statistical Analysis
- Lab Instructions
- Lab Check
Module 4: Machine Learning Basics
- Introduction to Machine Learning
- What is Machine Learning?
- Regression
- Classification
- Clustering
- Some Useful Resources
- Lab: Machine Learning
- Lab Instructions
- Lab Check
- Next Steps
- What Next?
- Before You Go
- Get Microsoft Course Completion Certificate
- Instructions
This is a version-specific reference outline. Confirm the current syllabus and delivery arrangements with EIEIO.