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
Related Topics for further study
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
BeginnerCourse Format
- Online
- Self-paced
Similar Courses
- Data Science Essentials
- Applied Data Science
Related Education Paths
Related Books
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.
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
Rav Ahuja
4.8 Raiting
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