Business Analytics Specialization

Цена: Бесплатный

День проведения: По запросу

Тип: Электронное обучение

Категория: Бизнес / Менеджмент

Язык: Английский

Местонахождение: Онлайн

Описание тренинга:

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.

Дополнительная информация

COURSE 1

Customer Analytics

Current session: Jun 18

Commitment: 4 weeks of study, 5-6 hours/week

Subtitles: English, Spanish, Chinese (Simplified)

About the Course

 

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics.

 

COURSE 2

Operations Analytics

Upcoming session: Jun 25

Commitment: 4 weeks of study, 2-3 hours/week

Subtitles: English, Chinese (Simplified)

About the Course

 

This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.

 

COURSE 3

People Analytics

Current session: Jun 18

Commitment: 4 weeks of study, 1-2 hours/week

Subtitles: English

About the Course

People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you’ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too.

 

COURSE 4

Accounting Analytics

Upcoming session: Jun 25

Commitment: 4 weeks, 3 -5 hours per week

Subtitles: English, Mongolian

About the Course

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance.  In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data. 

COURSE 5

Business Analytics Capstone

Upcoming session: Aug 6

Commitment: 4 weeks of study, 4-5 hours/week

Subtitles: English

About the Capstone Project

The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end of this Capstone, you'll be able to ask the right questions of the data, and know how to use data effectively to address business challenges of your own. You’ll understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions so that you can apply these strategies to your own company or business. Designed with Yahoo to give you invaluable experience in evaluating and creating data-driven decisions, the Business Analytics Capstone Project provides the chance for you to devise a plan of action for optimizing data itself to provide key insights and analysis, and to describe the interaction between key financial and non-financial indicators. Once you complete your analysis, you'll be better prepared to make better data-driven business decisions of your own.

 

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Выступающие:

Noah Gans

Noah Gans

Anheuser-Busch Professor of Management Science, Professor of Operations, Information and Decisions

Sergei Savin

Sergei Savin

Associate Professor of Operations, Information and Decisions

Senthil Veeraraghavan

Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions

Ron Berman

Ron Berman

Assistant Professor of Marketing

Eric Bradlow

Eric Bradlow

Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative

Martine Haas

Martine Haas

Associate Professor of Management

Wharton Teaching Staff

Wharton Teaching Staff

Educators

Christopher D. Ittner

Christopher D. Ittner

EY Professor of Accounting

Brian J Bushee

Brian J Bushee

The Geoffrey T. Boisi Professor

Cade Massey

Cade Massey

Practice Professor

Raghu Iyengar

Raghu Iyengar

Associate Professor of Marketing

Matthew Bidwell

Matthew Bidwell

Associate Professor of Management

Peter Fader

Peter Fader

Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative

Участие

Крайний срок регистрации 28 Сентябрь 2019

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Тип компании: Другое

Количество сотрудников: 500-1500

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