Online Course – Google Certified Professional Internship in Business Analytics, University of Illinois Urbana-Champaign

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

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding data strategy in organizations
  • Ability to collect, analyze, and present data in reliable ways
  • Deep understanding of data modeling and high-level predictive analytics
  • Business analysis skills working with data systems and tools such as Power BI, Alteryx, and RStudio
  • Making informed business decisions through analyses in key functional areas of the business
  • Applying domain expertise to define data problems and develop performance metrics

What you will learn in the course

Courses for which the course is suitable

  • Young business executives
  • Senior managers
  • Business managers
  • Business analysts
  • Data managers
  • Data project managers
  • Data analysis experts
  • Business consultants
  • Strategy Managers
  • Digital marketing professionals
  • Information Systems Administrators
  • Market researchers
  • Business Performance Analysts

Internship – Series of 6 courses

Our world has become increasingly digital, and business leaders need to understand the vast amount of data available today. To make important strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to extract insights from that data.

The Business Analytics specialization is intended for young managers, senior managers, and business executives who are interested in acquiring broad knowledge in business analytics that combines data science, analytics, and business decisions.

Topics to be covered in the courses:

  • Data strategy in organizations
  • Reliable ways to collect, analyze, and present data
  • Understanding data modeling and high-level predictive analytics
  • Basic business analysis methods working with data systems and tools such as Power BI, Alteryx, and RStudio
  • Making informed business decisions through analyses in key functional areas of the business

Applied Learning Project

A central tenet of these courses is that the application of expertise in a particular domain is critical to defining the right data problem, collecting and analyzing data, and developing and implementing performance metrics. Each domain will be accompanied by an in-depth project focused on implementation and analysis.

Details of the courses that make up the specialization

Introduction to Business Analysis with R

Course 1
16 hours
4.6 (232 ratings)

What you’ll learn

You will learn how to process data using R and RStudio. You will also explore the interaction between business principles and data analysis.

Skills you will acquire

  • Robotic process automation
  • Data Analytics
  • Analytics
  • Accounting analytics
  • Natural language processing

Introduction to Business Analytics: Communicating with Data

Course 2
15 hours
4.6 (594 ratings)

What you’ll learn

This course introduces the science of business analytics with an emphasis on the artistic use of numbers in the digital space. The goal is to provide businesses and managers with the fundamentals needed to apply data analytics to real-world challenges.

Skills you will acquire

  • Data Analytics
  • Analytics
  • Regression
  • marketing
  • Marketing Analytics

Tools for exploratory data analysis in business

Course 3
18 hours
4.8 (45 ratings)

What you’ll learn

Developing analytical thinking to approach business problems and the ability to evaluate the value of data sets for solving business problems.

Skills you will acquire

  • Data Analytics
  • Analytics
  • Business Analytics
  • health

Machine Learning Algorithms with R in Business Analytics

Course 4
14 hours
4.7 (32 ratings)

What you’ll learn

  • Conceptual framework of machine learning algorithms
  • Conceptual foundations for interpreting machine learning results
  • Practice applying machine learning algorithms to business data

Skills you will acquire

  • Business Analytics
  • Programming in R
  • Rstudio

Applying data analytics in marketing

Course 5
14 hours
4.5 (151 ratings)

What you’ll learn

This course introduces students to marketing analysis using a wide variety of analytical tools and methods.

Skills you will acquire

  • Analytical thinking
  • Data cleaning and exploration
  • Alteryx
  • R and RStudio
  • PowerBI

Applying data analysis in accounting

Course 6
14 hours
4.8 (44 ratings)

What you’ll learn

This course offers students the knowledge and tools required to apply data analysis in the field of accounting.