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IBM Data Analytics with Excel and R

Rav Ahuja, Steve Ryan, Sandip Saha Joy, Kevin McFaul, Yan Luo, Saishruthi Swaminathan, Tiffany Zhu, Yiwen Li, Gabriela de Queiroz, and Jeff Grossman

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What's inside

Eight courses

Data Analysis with R

(16 hours)

The R programming language is purpose-built for data analysis. This course starts with a question and then walks you through the process of answering it through data. You will learn important techniques for preparing your data for analysis and gain a better understanding of your data through exploratory data analysis. Once your data is ready to analyze, you will learn how to develop your model and evaluate and tune its performance.

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Data Science with R - Capstone Project

In this capstone, you will apply data science skills and techniques to real-world datasets. You will collect, analyze, and model data, create visualizations, and build an interactive dashboard. The project culminates with a presentation of your data analysis report.

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Introduction to Data Analytics

Ready to start a career in Data Analysis? This course presents a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career.

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Excel Basics for Data Analysis

Spreadsheet tools like Excel are essential for working with data. This course provides a basic working knowledge of Excel and how to use it for analyzing data. It is suitable for those interested in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required.

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SQL for Data Science with R

Much of the world's data is stored in databases. SQL (Structured Query Language) is a powerful language for communicating with and extracting data from databases. A working knowledge of databases and SQL is essential for data scientists.

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Introduction to R Programming for Data Science

When working in the data science field, you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks.

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Data Visualization with R

In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques.

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Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without writing any code.

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Time

960 hours

Via

Coursera

Institution

IBM

Instructors

Rav Ahuja

Steve Ryan

Sandip Saha Joy

Kevin McFaul

Yan Luo

Saishruthi Swaminathan

Tiffany Zhu

Yiwen Li

Gabriela de Queiroz

Jeff Grossman

IBM Data Analytics with Excel and R

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What's inside

Eight courses

Data Analysis with R

Data Science with R - Capstone Project

Introduction to Data Analytics

Excel Basics for Data Analysis

SQL for Data Science with R

Introduction to R Programming for Data Science

Data Visualization with R

Data Visualization and Dashboards with Excel and Cognos

Save this collection