YoVDO

Data Analysis for Decision-Making

Offered By: Rochester Institute of Technology via edX

Tags

Business Intelligence Courses Big Data Courses Data Analysis Courses Data Visualization Courses Tableau Courses Data Collection Courses Data Literacy Courses

Course Description

Overview

Demand for data analysis skills are projected to grow in the U.S. 21% over the next 10 years, over four times the rate of the overall labor market. Fields like Data Science, Data Analytics, and Statistics are expected to grow up to 34%. According to the World Economic Forum, emerging global demand for data analytics skills across occupations is contributing to a “race for talent,” with more jobs available than qualified candidates. According to Burning Glass Technologies research, hybrid, more complex roles which combine field-centric skills with data analysis competencies are up to 40% higher paying than their single-focus counterparts, are high-growth, and immune to the threat of automation.

This Professional Certificate program prepares students, working professionals, and decision makers to become data literate in both their professional and personal lives. In today’s data-driven world, data literacy will transform you into a “data citizen,” allowing you to communicate and make decisions based upon facts with confidence. You will emerge as a champion for a data literate culture.

You will gain an understanding of how using data visualization, big data, data collection, and analytical tools to better understand business challenges and inform the decision-making process.

This program is valuable for students and professionals who want to go beyond data analysis software proficiency to develop the ability to read, write, and communicate using data in context, including an understanding of data sources and constructs.


Syllabus

Courses under this program:
Course 1: Data Literacy Foundations

Take the first step to becoming a leader in data-driven decision-making.



Course 2: Data Processing and Analysis with Excel

Learn to use Excel to organize and clean data so it can be manipulated and analyzed.



Course 3: Data Representation and Visualization in Tableau

Use Tableau to explore data and discover insights to innovate data-driven decision-making.




Courses

  • 0 reviews

    4 weeks, 6-8 hours a week, 6-8 hours a week

    View details

    In this course, you will learn how to organize your data within the Microsoft Office Excel software tool. Once organized, we will discuss data cleaning. You will learn how to identify outliers and anomalies in the data, and how to identify and change data-types. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings.

    In this robust Excel course, you will gain a solid foundation in using advanced Excel functions such as pivot tables and vlookup to organize and analyze data sets. You will be able to create an Excel chart in a variety of chart types including scatter plot, pie charts, and more. We’ll discuss various techniques such as descriptive statistics, and review the variety of Excel add-ins available to use this powerful tool to organize, analyze, and transform your data into actionable insights. All course activities are designed and demonstrated using Windows OS and Microsoft Excel 2016.

  • 0 reviews

    4 weeks, 6-8 hours a week, 6-8 hours a week

    View details

    Use Tableau to explore data and discover insights to innovate data-driven decision-making.

    Employer demand for Tableau skills will grow 35% over the next 10 years. Whether you are in a data-centric role or just need to add data skills to take your job or career to the next level, this course will provide the foundation and skills to get started using one of today’s most impactful data visualization tools.

    You will learn the basics of data representation and data visualization, and then explore the various elements of graphical representation. You will practice creating Tableau representations using your data sources to visually communicate insights.

    Together we will discuss examples and cases of visual representations, assessing accuracy and identifying any misrepresentations, and ultimately evaluate decisions and solutions based on data visualizations.

    You will gain foundational skills for using tableau desktop’s drag and drop functions. You will learn how to create commonly used data representations to help visualize data.


Taught by

Beth Prince-Bradbury

Tags

Related Courses

Intro to Statistics
Stanford University via Udacity Introduction to Data Science
University of Washington via Coursera Passion Driven Statistics
Wesleyan University via Coursera Information Visualization
Indiana University via Independent DCO042 - Python For Informatics
University of Michigan via Independent