IBM Data Analytics with Excel and R Professional Certificate | Coursera

Prepare for a career in data analytics. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months. No prior experience required.

• 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

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

Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months, with no prior experience or degree needed.

Data analytics is a strategy-based science where data is analyzed to find trends, answer questions, shape business processes, and aid decision-making. This Professional Certificate focuses on data analysis using Microsoft Excel and R programming language. If you’re interested in using Python, please explore the IBM Data Analyst PC.

This program will teach you the foundational data skills employers are seeking for entry level data analytics roles and will provide a portfolio of projects and a Professional Certificate from IBM to showcase your expertise to potential employers.

You’ll learn the latest skills and tools used by professional data analysts and upon successful completion of this program, you will be able to work with Excel spreadsheets, Jupyter Notebooks, and R Studio to analyze data and create visualizations. You will also use the R programming language to complete the entire data analysis process, including data preparation, statistical analysis, data visualization, predictive modeling and creating interactive dashboards. Lastly, you’ll learn how to communicate your data findings and prepare a summary report.

This program is ACE® recommended—when you complete, you can earn up to 15 college credits.

1. Introduction to Data Analytics
2. Excel Basics for Data Analysis
3. Data Visualization and Dashboards with Excel and Cognos
4. Assessment for Data Analysis and Visualization Foundations
5. Introduction to R Programming for Data Science
6. SQL for Data Science with R
7. Data Analysis with R
8. Data Visualization with R
9. Data Science with R – Capstone Project

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