University of Illinois Urbana-Champaign
Business Analytics Specialization
University of Illinois Urbana-Champaign

Business Analytics Specialization

Data-driven decision making potential unlocked. Learners will be able to obtain, manage, analyze and visualize data to gain a competitive advantage in the world of strategic business decision making.

Unnati Narang
Joseph T. Yun
Ronald Guymon

Instructors: Unnati Narang

20,188 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(222 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(222 reviews)

Beginner level
No prior experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 6 course series

What you'll learn

  • Examine the interplay between business principles and data analytics.

  • Build a foundation in data analytics by installing and using a data analytics language, an integrated development environment (IDE), and key modules.

  • Manipulate the most commonly used data types using functions.

  • Develop efficient, easy-to-read approaches for assembling and processing data for analysis.

Skills you'll gain

Category: Data Manipulation
Category: Business Analytics
Category: Data Cleansing
Category: Pandas (Python Package)
Category: Data-Driven Decision-Making
Category: Data Processing
Category: Analytics
Category: Data Presentation
Category: Data Transformation
Category: Business Intelligence
Category: Business Process
Category: Technical Communication
Category: Data Literacy
Category: Data Analysis

What you'll learn

  • Build familiarity with the set of tools and techniques used to analyze and visualize digitalized data.

  • Gain an understanding of the motivations that direct the use of various data visualization methods.

  • Understand visual approaches used to effectively communicate insights from data.

  • Gain hands-on, working knowledge of the nuanced distinction between effective and poor data presentation.

Skills you'll gain

Category: Data Presentation
Category: Data Visualization Software
Category: Data Storytelling
Category: Data Analysis
Category: Data Visualization
Category: Data-Driven Decision-Making
Category: R Programming
Category: Business Analytics
Category: Data Collection
Category: Data Quality
Category: Communication

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

Category: Extract, Transform, Load
Category: Exploratory Data Analysis
Category: R Programming
Category: Business Analytics
Category: Power BI
Category: Analytics
Category: Alteryx
Category: Data Transformation
Category: Data Visualization Software
Category: Business Intelligence
Category: Data Analysis
Category: Statistical Methods
Category: Data Quality
Category: Data Storytelling
Category: Descriptive Statistics

What you'll learn

  • Implement a conceptual framework of machine learning algorithms for finding actionable insight to business problems.

  • Apply a conceptual foundation for interpreting machine learning results from regression, classification, and clustering algorithms.

  • Apply machine learning algorithms to business data.

Skills you'll gain

Category: Supervised Learning
Category: Exploratory Data Analysis
Category: Unsupervised Learning
Category: Regression Analysis
Category: Applied Machine Learning
Category: Machine Learning
Category: Predictive Modeling
Category: R Programming
Category: Classification And Regression Tree (CART)
Category: Business Analytics
Category: Predictive Analytics
Category: Analytics
Category: Statistical Machine Learning
Category: Data Analysis

What you'll learn

  • Apply quantitative techniques in marketing analytics to real-world scenarios.

  • Understand causal analysis, experimental and quasi-experimental approaches broadly.

  • Develop an understanding of linear/logistic regression and various computational text summarization methods.

  • Perform different analyses discussed using R programming.

Skills you'll gain

Category: Network Analysis
Category: Natural Language Processing
Category: Statistical Methods
Category: Unstructured Data
Category: Regression Analysis
Category: Text Mining
Category: Data Analysis
Category: Marketing Analytics
Category: Analytics
Category: Statistical Analysis
Category: Social Media
Category: Market Analysis
Category: Customer Insights

What you'll learn

  • Understand analytic issues and topics in accounting.

  • Conduct audit and control testing tasks using Alteryx and R.

  • Analyze text using R.

  • Conduct accounting-related RPA processes.

Skills you'll gain

Category: Robotic Process Automation
Category: Automation
Category: Natural Language Processing
Category: Alteryx
Category: Internal Controls
Category: R Programming
Category: Blockchain
Category: Accounting
Category: Auditing
Category: Data Visualization
Category: Accounting and Finance Software
Category: Business Process Automation
Category: Process Analysis
Category: Text Mining
Category: Financial Auditing
Category: Analytics
Category: Internal Auditing

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Build toward a degree

This Specialization 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

 

Instructors

Unnati Narang
University of Illinois Urbana-Champaign
2 Courses67,230 learners
Joseph T. Yun
University of Illinois Urbana-Champaign
1 Course23,771 learners
Ronald Guymon
University of Illinois Urbana-Champaign
5 Courses83,369 learners

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