Introduction to Data Analytics by Coursera
Course Highlights
- Explain what Data Analytics is and the key steps in the Data Analytics process.
- Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst.
- Describe the different types of data structures, file formats, and sources of data.
- Describe the data analysis process involving collecting, wrangling, mining, and visualizing data.
Skills you will learn!
Curriculum
18 Topics
Course Introduction
Modern Data Ecosystem
Key Players in the Data Ecosystem
Defining Data Analysis
Viewpoints: What is Data Analytics?
Responsibilities of a Data Analyst
Viewpoints: Qualities and Skills to be a Data Analyst
A Day in the Life of a Data Analyst
Viewpoints: Applications of Data Analytics
Data Analytics vs. Data Analysis
Summary and Highlights
Generative AI: An essential Skill for today's Data Analysts
Summary and Highlights
Practice Quiz
Practice Quiz
Graded Quiz
Graded Quiz
Introduce yourself
17 Topics
Overview of the Data Analyst Ecosystem
Types of Data
Understanding Different Types of File Formats
Sources of Data
Languages for Data Professionals
Overview of Data Repositories
RDBMS
NoSQL
Data Marts Data Lakes ETL and Data Pipelines
Foundations of Big Data
Big Data Processing Tools
Summary and Highlights
Summary and Highlights
Practice Quiz
Practice Quiz
Graded Quiz
Graded Quiz
13 Topics
Identifying Data for Analysis
Data Sources
How to Gather and Import Data
What is Data Wrangling?
Tools for Data Wrangling
Data Cleaning
Viewpoints: Data Preparation and Reliability
Summary and Highlights
Summary and Highlights
Practice Quiz
Practice Quiz
Graded Quiz
Graded Quiz
14 Topics
Overview of Statistical Analysis
What is Data Mining?
Tools for Data Mining
Overview of Communicating and Sharing Data Analysis Findings
Viewpoints: Storytelling in Data Analysis
Introduction to Data Visualization
Introduction to Visualization and Dashboarding Software
Viewpoints: Visualization Tools
Summary and Highlights
Summary and Highlights
Practice Quiz
Practice Quiz
Graded Quiz
Graded Quiz
15 Topics
Career Opportunities in Data Analysis
Viewpoints: Get into Data Profession
Viewpoints: What do Employers look for in a Data Analyst?
The Many Paths to Data Analysis
Viewpoints: Career Options for Data Professionals
Viewpoints: Advice for aspiring Data Analysts
Viewpoints: Women in Data Professions
Generative AI for Data Analytics
Summary and Highlights
Using Data Analysis for Detecting Credit Card Fraud
Congratulations and Next Steps
Course Credits and Acknowledgements
Practice Quiz
Graded Quiz
Peer-Graded Final Assignment
Introduction to Data Analytics
Related Data Analysis Courses
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