Data Analysis with Spreadsheets and SQL

Go to Course: https://www.coursera.org/learn/data-analysis-with-spreadsheets-and-sql

Introduction

### Course Review: Data Analysis with Spreadsheets and SQL on Coursera In the modern data-driven world, the ability to analyze and interpret data is essential for nearly any professional role. Coursera's **Data Analysis with Spreadsheets and SQL** course offers an extensive introduction to the fundamental skills necessary for data analysis, focusing primarily on the practical application of spreadsheets and SQL queries. If you're looking to enhance your data analysis capabilities or kickstart a career in data, this course is a worthwhile investment. #### Course Overview This comprehensive course is designed for learners of varying experience levels. It begins by immersing you in the world of spreadsheets, introducing you to the OSEMN (Obtain, Scrub, Explore, Model, and Interpret) data analysis framework. You will learn how to clean data, calculate summary statistics, evaluate correlations, and apply various visualization techniques. By the end of the course, you'll be able to create detailed dashboards in Tableau that effectively communicate your data findings. #### Syllabus Breakdown 1. **Working with Data in Spreadsheets** - **Focus**: Understand the basics of spreadsheets and the OSEMN framework. - **What You’ll Learn**: Gain foundational insights into how spreadsheets can facilitate data analysis and how to apply the OSEMN framework to any data project. 2. **Data Analysis with Spreadsheets** - **Focus**: Data cleaning and summary statistics. - **What You’ll Learn**: Master crucial spreadsheet functions that help clean datasets, calculate summary statistics, and identify relationships between different variables. This week is vital for understanding how to prepare your data for analysis. 3. **Extracting Data with SQL** - **Focus**: SQL fundamentals and basic queries. - **What You’ll Learn**: Explore how SQL can be integrated with spreadsheets. Learn to write basic queries to manipulate and extract data, providing you with a valuable skill that is extensively used in the industry. 4. **Data Visualization** - **Focus**: Chart types and data presentation. - **What You’ll Learn**: Discover various data visualization techniques, including how to choose the right chart type for your data. You'll also create these visualizations using Google Sheets and Tableau, enhancing your ability to present data aesthetically and informatively. 5. **Creating Dashboards** - **Focus**: Dashboard creation and reporting. - **What You’ll Learn**: Understand the purpose of dashboards in a business context. You'll learn to construct dynamic dashboards in Tableau, allowing you to tell a compelling story with your data insights. This practical application ties all your learning together, giving you a professional asset that can be showcased on your resume or portfolio. #### Recommendations **Who should take this course?** This course is ideal for anyone interested in developing their data analysis skills, from beginners to those with some background looking to enhance their existing knowledge. Whether you're a business professional, a student, or someone transitioning into data-related fields, the skills learned here will be immensely beneficial. **Pros**: - Well-structured syllabus focusing on foundational to advanced skills. - Hands-on experience with tools that are widely used in the industry (spreadsheets, SQL, Tableau). - Flexibility of learning at your own pace through Coursera's platform. **Cons**: - Some might find the pace a bit brisk if they are entirely new to the concepts. It requires a bit of dedication to keep up with the material. **Conclusion** The **Data Analysis with Spreadsheets and SQL** course on Coursera stands out for its structured approach and practical insight into working with data. By the end of the course, you'll not only be proficient in using spreadsheets and SQL for data analysis but also in visualizing your data and presenting it effectively. If you aim to empower your career with in-demand skills in data analysis, I highly recommend enrolling in this course. Embrace the data journey and polish your analytical skills – it's an investment that will significantly enhance both your professional capabilities and your marketability in the job sector.

Syllabus

Working with Data in Spreadsheets

This week you learn the basics of spreadsheets and their usefulness in data analysis. You will also identify how to apply the OSEMN framework when working with data in spreadsheets.

This week you will learn how to clean data in spreadsheets using foundational spreadsheet functions. You will also learn how to calculate summary statistics in spreadsheets as well as how to identify data trends and relationships between variables.

This week you will be introduced to SQL and how it is used in spreadsheets. You will utilize basic queries and functions for handling data with SQL.

This week you will learn about common chart types and how to determine the best type of chart for the dataset you want to present. You will also learn how to create these charts using both Google Sheets and Tableau.

In the final week you will be introduced to dashboards and how to use them to report on progress within a business setting. You will also learn how to create dashboards in Tableau and use these to tell a story when presenting your data findings.