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Completed by Edmund Revilla

May 3, 2023

Approximately 3 months at 10 hours a week to complete

Edmund Revilla's account is verified. Coursera certifies their successful completion of IBM IBM Data Analytics with Excel and R Specialization.

Course Certificates Completed

Data Science with R - Capstone Project

Assessment for Data Analysis and Visualization Foundations

SQL for Data Science with R

Data Visualization with R

Introduction to Data Analytics

Data Analysis with R

Introduction to R Programming for Data Science

Data Visualization and Dashboards with Excel and Cognos

Excel Basics for Data Analysis

IBM Data Analytics with Excel and R

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48K Students Enrolled

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What you will learn

Master the most up-to-date practical skills and knowledge data analysts use in their daily roles
Learn how to perform data analysis, including data preparation, statistical analysis, and predictive modeling using R, R Studio, and Jupyter
Utilize Excel spreadsheets to perform a variety of data analysis tasks like data wrangling, using pivot tables, data mining, & creating charts
Communicate your data findings using various data visualization techniques including, charts, plots & interactive dashboards with Cognos and R Shiny

Skills you will gain

Data Visualization (DataViz)
Data Science
Spreadsheet
Data Analysis
Microsoft Excel
IBM Cognos Analytics
Relational Databases (RDBMS)
Dashboard
Data Visualization
R Programming
Pivot Table

View certificate for Edmund Revilla, IBM Data Analytics with Excel and R, offered through Coursera. In this Professional Certificate, learners discovered the many responsibilities of data analysts and data scientists. They used Excel to prepare data for analysis and visualized it using pivot tables, charts, and dashboards. They worked with Cognos Analytics to create interactive dashboards. Learners also developed foundational knowledge of R programming language & data science packages, considered essential skills for data scientists and data analysts. The Certificate program covered the full data analysis process, including data preparation and access, statistical analysis, and predictive modeling, and data visualization. Learners completed a Capstone Project at the end to apply their new data analytics knowledge and skills to a real-world dataset and prepared a report for stakeholders.

Course Certificates

Earned after completing each course in the Specialization

Data Science with R - Capstone Project

IBM

Taught by: Jeff Grossman & Yan Luo

Completed by: Edmund Revilla by May 3, 2023

View this certificate

Assessment for Data Analysis and Visualization Foundations

IBM

Taught by: IBM Skills Network Team

Completed by: Edmund Revilla by November 2, 2022

2-3 hours

View this certificate

SQL for Data Science with R

IBM

Taught by: Rav Ahuja

Completed by: Edmund Revilla by December 10, 2022

5 weeks of study, 2-4 hours/week.

View this certificate

Data Visualization with R

IBM

Taught by: Yiwen Li, Tiffany Zhu, Saishruthi Swaminathan & Gabriela de Queiroz

Completed by: Edmund Revilla by February 17, 2023

View this certificate

Introduction to Data Analytics

IBM

Taught by: Rav Ahuja

Completed by: Edmund Revilla by October 14, 2022

View this certificate

Data Analysis with R

IBM

Taught by: Tiffany Zhu, Yiwen Li & Gabriela de Queiroz

Completed by: Edmund Revilla by January 22, 2023

View this certificate

Introduction to R Programming for Data Science

IBM

Taught by: Yan Luo

Completed by: Edmund Revilla by November 18, 2022

5 weeks of study, 2-4 hours/week

View this certificate

Data Visualization and Dashboards with Excel and Cognos

IBM

Taught by: Sandip Saha Joy, Kevin McFaul & Steve Ryan

Completed by: Edmund Revilla by November 1, 2022

View this certificate

Excel Basics for Data Analysis

IBM

Taught by: Sandip Saha Joy & Steve Ryan

Completed by: Edmund Revilla by October 24, 2022

View this certificate