Introduction To Connected Strategy course will teach you how technology has allowed businesses to drastically alter how they interact with their customers. This course was created by Wharton School professors Christian Terwiesch and Nicolaj Siggelkow to help you study the impact of connected strategies and the business prospects associated with such strategies. This is one of the best online course to learn business intelligence.

You'll learn how Connected Customer Experience and Connected Delivery Modelscan be used in a variety of industries and business models by studying and analyzing both the innovation framework and value proposition. You'll also look at several sorts of connected customers/producers and connected strategy examples, as well as examine available technology that can help you develop connected partnerships.

You'll be able to identify different sorts of connected strategies and opportunities in a number of business models at the end of this course, allowing you to use best practices and achieve success in your firm.

At a glance

• Institution: Wharton
• Subject: Business & Management
• Level: Intermediate
• Prerequisites: Familiarity with basic business concepts. This is a graduate level course.
• Language: English
• Video Transcript: English
• Associated programs: Professional Certificate in Strategic Management

What you'll learn

• Identify and describe related tactics, as well as their potential and value propositions.
• Examine customer experiences to have a better understanding of the customer journey.
• Create effective customization tactics by leveraging positive feedback loops with customers.
• To boost your linked approach, identify connected relationships within your company.
• Create a connection architecture and deploy customer engagement tactics that are connected.

Instructors: Nicolaj Siggelkow, Christian Terwiesch

Price: $199

Website: https://www.edx.org/course/connected-strategy-2

Recommender Systems: Behind The Screen course will teach you the best methodologies and practices for recommender systems, which are an important part of the online ecosystem. This course was created as part of a workshop held in Montreal by IVADO and HEC Montréal. Seven worldwide professionals from academia and industry will accompany you along and provide actual examples. This is one of the best online courses to learn business intelligence.

Recommender systems are algorithms that look for patterns in user behavior in order to improve personalized experiences and gain a better understanding of their surroundings. They are often used to recommend products to consumers, such as books, movies, but also potential friends, food recipes, or even useful documentation in major software projects, or scientific publications of interest.

The goal of this MOOC is to provide an overview of the topic of recommender systems. Machine learning for recommender systems is covered first, followed by an overview of assessment methods, advanced modeling, contextual bandits, ranking algorithms, and fairness and discrimination in recommender systems.

The course is designed for industry professionals and academics who have a basic understanding of mathematics and programming (first-year undergraduate) (ideally Python). This content may be useful and appealing for graduate students in science and engineering (especially those who are unfamiliar with machine learning and recommender systems). This course's content will be useful to anyone who utilizes or is interested in AI in any other way.

At a glance

• Institution: UMontrealX
• Subject: Computer Science
• Level: Introductory
• Prerequisites: Minimal knowledge of programming and basic knowledge in mathematics.
• Language: English
• Video Transcript: English

What you'll learn

• Learn the fundamentals of recommender systems, including terminology;
• Determine the sorts of problems and the strategies used by recommender systems to tackle them;
• In recommender systems, apply the approach for completing a project.
• Through practical and tutorial sessions, learn how to use the algorithms of recommender systems.

Instructors: Laurent CHARLIN, Michael EKSTRAND, Fernando DIAZ
Price: $150

Website: https://www.edx.org/course/recommender-systems-behind-the-screen

The cornerstone to successful business management is high-quality information. Managers struggle to gather information that helps them make decisions, despite the vast amount of data generated by firms. While operational processing systems help organizations acquire, store, and manage data to support day-to-day operations, reconciliation systems — also known as data warehouses or business intelligence (BI) systems — enable firms analyze data and make better decisions.

Organizations have turned to corporate data management frameworks to manage and get insights from the large amounts of data generated since the introduction of big data platforms. While storage costs are generally low, the major difficulty has been determining the best way to handle the data, as many technologies (e.g., relational databases, data warehouses) have limits on the amount of data that can be kept.

Enterprise Data Management course focuses on maximizing the business value and potential of operational, reconciled, and big data systems, as well as data assets, in order to enable enterprise data management and analytics.

At a glance

• Institution: IUx
• Subject: Business & Management
  
• Level: Advanced
• Prerequisites: None.
• Language: English
• Video Transcript: English
• Associated programs: MicroMasters® Program in Information Systems

What you'll learn

• How to create relational databases for managing operational systems
• How to use Structured Query Language to query relational databases (SQL)
• Data warehouses and business intelligence systems: how to construct them
• Understand data profiling, data integration, and master data management principles.
• Learn the fundamentals of Hadoop, Hive, and Pig.

Instructors: Ramesh Venkataraman, Vijay Khatri, Jingjing

Price: $499

Website: https://www.edx.org/course/enterprise-data-management

The Hong Kong Polytechnic University's Knowledge Management and Innovation Research Center (KMIRC) is offering the course. The majority of the research is focused on businesses and industries. The KMIRC's capabilities and skills are bolstered by international alliances it has created with top practitioners, many of whom are members of the "Hall of Fame" in knowledge management and are well-known around the world. Participants with a background in humanities, management, social science, physical science, or engineering are welcome to attend. It is not necessary to have any prior technical knowledge. This is one of the best online courses to learn business intelligence.

At a glance

• Institution: HKPolyUx
• Subject: Business & Management
• Level: Introductory
• Prerequisites: None
• Language: English
• Video Transcript: English
• Associated programs: Professional Certificate in Business Excellence in a knowledge-driven Industry 4.0 world.

What you'll learn

• Recognize how Knowledge Management (KM) practitioners contribute to the creation of company value.
• Learn how to capture, process, classify, and organize information using various approaches and technologies.
• How to use analytics to examine vast amounts of data and information
• How to use Cloud Services to create new business models and values
• Recognize the importance of social media and technology in the development of innovative commercial offerings.
• Apply what you've learned in class to company-based business projects.

Instructors: Eric Tsui, W.B.Lee, Klaus Tochtermann

Price: $169

Website: Knowledge Management and Big Data in Business | edX

This is one of five courses in a five-part basic business information systems series that will expose you to the fascinating world of information technology.

The series of courses is designed to give a professional in a field other than information technology (financial, administrative, or managerial) the basic knowledge in information technology to be able to interact more profitably with the computer and telecommunications specialists at your company or other corporations with which you are affiliated, specifying requirements, evaluating workloads, and monitoring results in a much more effective way.

The series' syllabus is based on the CLEP test in Information Systems and Computer Applications. IT Fundamentals For Business Professionals: Enterprise Systems course will teach you the fundamentals of information systems and how to apply them. You will be prepared to interact effectively with specialists in the Information Technology field (and pass the CLEP ISCA exam if you wish) after finishing the series of five courses.

At a glance

• Institution: UPValenciaX
• Subject: Computer Science
• Level: Introductory
• Prerequisites: Basic understanding of internet and computers.
• Language: English
• Video Transcript: English
• Associated programs: Professional Certificate in IT Fundamentals for Business Professional.

What you'll learn

• The fundamentals of office software (word processor, spreadsheet, presentations and database manager)
• The fundamentals of e-mail and conference system technology.
• Fundamentals of the Operating System
• Web browsers and Internet technologies are used to browse the internet.
• The following is a brief overview of various business apps (Business Intelligence, ERP, CRM, GIS, SCM, DMS, EDI ....)

Instructors: Jaime Busquets, Vicent Botti Navarro, Ignacio Despujol
Price: $75

Website: https://www.edx.org/course/it-fundamentals-for-business-professionals-enterpr

Statistical Learning is an introductory supervised learning course that focuses on regression and classification approaches. This is one of the best online courses to learn business intelligence. The course covers linear and polynomial regression, logistic regression, and linear discriminant analysis; cross-validation and the bootstrap; model selection and regularization methods (ridge and lasso); nonlinear models, splines, and generalized additive models; tree-based methods, random forests, and boosting; support vector machines; neural networks and deep learning; survival models; and multiple testing. Principal components and clustering are two unsupervised learning approaches addressed (k-means and hierarchical).

At a glance

• Institution: StanfordOnline
• Subject: Data Analysis & Statistics
• Level: Introductory
• Prerequisites: First courses in statistics, linear algebra, and computing.
• Language: English
• Video Transcript: English

What you'll learn

• Statistical Learning Overview
• Classification using linear regression
• Methods of resampling
• Selection and regularization of linear models
• Beyond the limits of linearity
• Methods based on trees
• Vector machines should be supported.
• Learning at a deeper level
• Modeling for survival
• Learning without supervision
• Several tests were conducted.

Instructors: Trevor Hastie, Robert Tibshirani

Price: $149

Website: https://www.edx.org/course/statistical-learning

Businesses already have access to an ever-increasing amount of precise customer data, and this influx of "big data" will only grow. There is a newfound potential for generating meaningful insights when combined with a complete history of marketing efforts, but you must have the means to do so. Digital Marketing Analytics: Tools And Techniques course will help you learn the tools and tactics used to create data-driven decisions using real-world applications from diverse industries, which you can apply in your own organization or business. This is one of the best online courses to learn business intelligence.

Customers' in-store and online transactions, customer surveys, web analytics, as well as prices and advertising, are all examples of useful data. You'll also learn how to assess significant managerial issues, formulate appropriate hypotheses, analyze data, and, most crucially, draw inferences to construct convincing narratives that lead to practical outcomes. Artificial intelligence and machine learning will be investigated as tools for improving analytical skills and decision-making.

This in-depth look at digital marketing analytics tools and approaches is essential reading for marketing influencers, digital marketing analysts, and product and brand decision makers in small and medium firms, as well as bigger organizations with global reach.

At a glance

• Institutions: UMDUSMx
• Subject: Business & Management
• Level: Introductory
• Prerequisites: None
• Language: English
• Video Transcript: English
• Associated programs: Professional Certificate in Digital Marketing

What you'll learn

• SEO and SEM - KPIs and keyword strategies
• Web Analytics - A/B Testing
• Recommendation Systems
• Machine Learning/AI applications/Big Data
• Text and Image Analysis
• Attribution/MMM

Instructors: Michael Trusov, Liye Ma

Price: $399

Website: https://www.edx.org/course/digital-marketing-analytics-tools-and-techniques

How do you use these technologies to create an effective digital strategy? How can you create a data transformation roadmap that will provide your company a competitive edge? How will you digitally alter your company to provide the greatest possible customer service? In Effecting Digital Transformation With Data Analytics Projects course, students will look at three case studies to learn about the tools and approaches that may be utilized to create a digital organization. The first course taught you how to restructure an organization using dynamic capabilities, fitness landscapes, and a strategic foresight framework.

A fresh startup is the first organizational type. You'll learn how to use the lean startup process to create a digital organization from the ground up.

An established organization is the second organizational kind. This type of business has established processes and a strong culture. The challenge is to assist the company in digital transformation while keeping its best qualities.

The third organizational kind is one that seeks to save itself through digital transformation. This could be the most difficult digital transformation project because you have a short time to rebuild customer confidence while your competitors are vying for your business.

At a glance

• Institutions: UMDUSMx
• Subject: Data Analysis & Statistics
• Level: Introductory
• Prerequisites: None
• Language: English
• Video Transcript: English
• Associated programs: Professional Certificate in Transforming Your Company’s Data Analytics

What you'll learn

• Managing data analytics projects with the Disciplined Agile Delivery methodology
• Case Study: The New Start-Up: From the Ground Up, Creating a Digital Organization
• The Established Organization as a Case Study: Converting Existing Business Processes to Digital Processes
• The Threatened Organization: Using data analytics initiatives to save an organization through digital transformation is the subject of this case study.
• Managing a Data Analytics Project Portfolio

Instructor: Bill Brantley

Price: $199

Website: https://www.edx.org/course/effecting-digital-transformation-with-data-analytics-projects