This course equips you with a practical understanding and a framework to guide the execution of basic analytics tasks such as pulling, cleaning, manipulating and analyzing data by introducing you to the OSEMN cycle for analytics projects. You’ll learn to perform data analytics tasks using spreadsheet and SQL queries. You will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. You will learn foundational programming concepts and how they apply to marketing. You will also learn how to use Tableau to create data visualizations and dashboards.
提供方


课程信息
No experience is needed to start this course.
Prerequisite: Marketing Analytics Foundation, the first course in this specialization.
您将学到的内容有
How to apply the data analysis process OSEMN to marketing data
How to use spreadsheets, SQL and basic Python to sort, query, and structure data
How to use spreadsheets and Tableau to visualize data patterns and trends
您将获得的技能
- Marketing
- Python Programming
- Data Analysis
- Tableau Software
- Data Visualization (DataViz)
No experience is needed to start this course.
Prerequisite: Marketing Analytics Foundation, the first course in this specialization.
提供方
授课大纲 - 您将从这门课程中学到什么
Working with Data
Python for Data Analysis
Data Cleaning and Processing
Introduction to Data Visualization
审阅
- 5 stars43.35%
- 4 stars16.76%
- 3 stars9.24%
- 2 stars7.51%
- 1 star23.12%
来自INTRODUCTION TO DATA ANALYTICS的热门评论
This course has really been helpfull in the area of decision making making with data
This is a difficult, but really great, course. I learned the basics of SQL and Python Pandas. Expect some difficult programming assignments, but trust me they're worth the effort!
The projects help me to learn python commands indepth..
it was good, although you need to learn python on your own to pass the assignment
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