Introduction to Data Science
Learn what it takes to become a data scientist.
This is the first stop in the Data Science curriculum. 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.
Learning Outcomes
- 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 analyse data
What You will learn
- 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 analyse data
Learning Requirements
In order to earn a Certificate/Letter of Completion, participants must complete all 8 topics and submitted their assignments by stated deadlines.
Syllabus
TOPIC 1: INTRODUCTION TO DATA SCIENCE
TOPIC 2: ANALYZING AND VISUALIZING DATA WITH EXCEL
TOPIC 3: ANALYTICS STORYTELLING FOR IMPACT
TOPIC 4: ETHICS AND LAW IN DATA AND ANALYTICS
TOPIC 5: QUERYING DATA WITH TRANSACT SQL
TOPIC 6: INTRODUCTION TO PYTHON FOR DATA SCIENCE
Class Information
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Class Size
09 studentss -
Coures Duration
56 hours
