This course introduces several tools for processing business data to obtain actionable insight. The most important tool is the mind of the data analyst. Accordingly, in this course, you will explore what it means to have an analytic mindset. You will also practice identifying business problems that can be answered using data analytics. You will then be introduced to various software platforms to extract, transform, and load (ETL) data into tools for conducting exploratory data analytics (EDA). Specifically, you will practice using Python to conduct the ETL and EDA processes.
Tools for Exploratory Data Analysis in Business
Tools for Exploratory Data Analysis in Business
This course is part of Business Analytics Specialization
Instructors: Ronald Guymon
Access provided by Borough of Manhattan Community College
14,310 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(51 reviews)
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Development of an analytic mindset for approaching business problems.
The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.
Competence in operating business analytic software applications for exploratory data analysis.
Skills you'll gain
Details to know
Shareable certificate
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Assessments
5 assignments
Taught in English
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This course is part of the Business Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Your mind is the most important tool. Prepare your mind by learning about various mindsets and terms for approaching business analytic problems.
What's included
14 videos7 readings2 assignments1 discussion prompt1 plugin
Python is a powerful tool for working with data. In this module, we will use Python to extract, transform, and load data, generate summary statistics and visualizations for exploration, and understand the value of performing data analysis directly within Python.
What's included
11 videos3 readings1 assignment
In this module, we will explore how data quality impacts business analytics, examine the relationship between data transformation and managerial decision-making, and develop foundational skills in data manipulation using dplyr, tidyr, and stringr to prepare data for visualization.
What's included
11 videos3 readings1 assignment1 peer review
In this module, we will learn to execute effective data visualizations using Dona Wong’s framework, craft emotionally resonant and visually clear charts, and apply advanced techniques to enhance the clarity, sophistication, and storytelling power of our data visuals.
What's included
13 videos5 readings1 assignment1 discussion prompt1 plugin
Earn a career certificate
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Build toward a degree
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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4.5 (13 ratings)Offered by
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4.8
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5
Reviewed on Mar 2, 2023
Great course, I appreciate both instructors for this informative course!
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