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Introduction to Data Analytics

Approx. 11 hours to complete

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Course Summary

Learn the basics of data analytics, including data visualization, statistical analysis, and data mining. Gain hands-on experience with tools like Excel and Tableau.

Key Learning Points

Learn the fundamentals of data analytics
Gain practical experience with popular tools like Excel and Tableau
Explore data visualization, statistical analysis, and data mining techniques

Learning Outcomes

Understand the basics of data analytics
Gain hands-on experience with popular tools like Excel and Tableau
Learn data visualization, statistical analysis, and data mining techniques

Prerequisites or good to have knowledge before taking this course

Basic computer skills
Familiarity with Excel

Course Difficulty Level

Beginner

Course Format

Online
Self-paced

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Data Science Essentials
Applied Data Science

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Description

This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.

This course will help you to differentiate between the roles of a Data Analyst, Data Scientist, and Data Engineer. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. You will be able to summarize the data ecosystem, such as databases and data warehouses. You will then uncover the major vendors within the data ecosystem and explore the various tools on-premise and in the cloud. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you will be able to visualize the daily life of a Data Analyst, understand the different career paths that are available for data analytics, and identify the many resources available for mastering this profession. Throughout this course you will learn the key aspects to data analysis. You will begin to explore the fundamentals of gathering data, and learning how to identify your data sources. You will then learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, explore what it means to be a Data Analyst, and provide a real-world scenario of data analysis. This course does not require any prior data analysis, spreadsheet, or computer science experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox.

Outline

What is Data Analytics
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
Summary and Highlights
Practice Quiz
Graded Quiz
Practice Quiz
Graded Quiz

The Data Ecosystem
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
Graded Quiz
Practice Quiz
Graded Quiz

Gathering and Wrangling Data
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
Graded Quiz
Practice Quiz
Graded Quiz

Mining & Visualizing Data and Communicating Results
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
Graded Quiz
Practice Quiz
Graded Quiz

Career Opportunities and Data Analysis in Action
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
Summary and Highlights
Using Data Analysis for Detecting Credit Card Fraud
Congratulations and Next Steps
Course Credits and Acknowledgements
Practice Quiz
Graded Quiz
Final Quiz

Summary of User Reviews

Introduction to Data Analytics course on Coursera has received positive reviews from users. The course is highly recommended and has been well received by learners. One key aspect that many users thought was good is the course's comprehensive coverage of the basics of data analytics.

Pros from User Reviews

Comprehensive coverage of basics of data analytics
Well-structured course content
Engaging and knowledgeable instructors
Hands-on practice exercises and quizzes
Great introduction to data analytics for beginners

Cons from User Reviews

Some users found the pace of the course to be slow
Limited coverage of advanced topics
Some users found the course to be too basic
Lack of personalized feedback from instructors
Course materials may not be up-to-date

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