Below are some free MOOCs related to the MIM program. Topic includes data analytics database, programming skills, project management, and statistics.

  • MOOC Name: Analyzing Big Data with Twitter


Analyzing Big Data with Twitter | A special UC Berkeley iSchool course Marti Hearst, the course instructor at UC Berkeley, introduces the main concepts for the course, and Gilad Mishne (@gilad) of Twitter describes his goals for the course and provides an introduction to Twitter.

  • MOOC Name: Data Analysis Learning Path


The first skill you will need in order to analyze data is a way to store, extract, and manipulate it.In the first part of this course, we will study a variety of tools to help you do that. First, we will learn python, an all-purpose programming language that is often used for data manipulation. Then, we will study some algorithms and learn to classify them based on their efficiency. Next we will learn some ways data can be stored and how to extract it. SQL is a querying language that is used to pull out specific rows and columns of data from a large spreadsheet-like database. JSON is an alternative way to store data, using keys and values rather than rows and columns. After data storage, we will learn some command-line tools in Unix, such as filesystem basics, SSH, and SCP. Lastly, we will practice using Git, which organize code over time and helps programmers collaborate on the same project.

  • MOOC Name: Explore Statistics with R


Do you want to learn how to harvest health science data from the Internet? Or learn to understand the world through data analysis? Start by learning R Statistics! In this course you will explore concepts in statistics to make sense out of data. You will learn the practical skills necessary to find, import, analyze and visualize data. We will take a look under the hood of statistics and equip you with broad tools for understanding statistical inference and statistical methods. You will also perform some really complicated calculations and visualizations, following in the footsteps of Karolinska Institute’s researchers. We will dive into this data together. Learn how to use R, a powerful open source statistical programming language, and see why it has become the tool of choice in many industries in this introductory R statistics course.

  • MOOC Name: Getting Started with Google Analytics

MIM related course: INFM 718G Data-Intensive Computing with MapReduce


With the “Google Analytics Training: Getting Started with Google Analytics” You will learn how to start tracking conversion rates and what data you need to analyze in order to improve them.

This Google Analytics training course will help you master the basics and see what it takes to turbocharge your website performance.

Want more details? Here is what you will get:

  • Step by step instructions on how to get started and implement Google Analytics
  • Crystal clear advice on what to do before getting started with Google Analytics
  • Details on how to interpret data from Google Analytics
  • The most important reports in Google Analytics and why they really matter
  • Advice about how to translate raw data into actionable insights
  • With each lesson you get, you will be able to track your progress over time and find your way to become an Analysis Ninja.
  • MOOC Name: Foundations of Business Strategy

MIM related course: INMF 620 Introduction to Strategic Information Management


Strategic analysis is critical for analyzing the competitive context in which an organization operates and for making reasoned and reasonable recommendations for how that organization should position itself and what actions it should take to maximize value creation. In this course, we will explore the underlying theory and frameworks that provide the foundations of a successful business strategy. Managers, entrepreneurs, social entrepreneurs, analysts, and consultants all may find value in mastering these fundamentals.

  • MOOC Name: Mobile Application Development

MIM related course: INFM 743 Development of Internet Applications

INST 630 Introduction to Programming for the Information Professional


Tools and APIs required to build applications for the iPhone platform using the iPhone SDK. User interface designs for mobile devices and unique user interactions using multitouch technologies. Object-oriented design using model-view-controller pattern, memory management, Objective-C programming language. iPhone APIs and tools including Xcode, Interface Builder and Instruments on Mac OS X. Other topics include: core animation, bonjour networking, mobile device power management and performance considerations. Prerequisites: C language and programming experience at the level of 106B or X. Recommended: UNIX, object-oriented programming, graphical toolkits Offered by Stanford’s School of Engineering, the course will last ten weeks and include both the lecture videos and PDF documents. A new lecture will be posted a week after each class meeting. Subscribe to this course, and automatically receive new lectures as they become available.

  • MOOC Name: Basic Statistic at UC Berkeley

MIM related course: INST 714 Information For Decision Making

INST 627 Data Analytics for Information Professionals,d,Statistics,d,Statistics,-XXv-cvA_iDmBzAfitlZXganWpqMiXkG


Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses in statistics. Friendly means exactly that. The course assumes very little background knowledge in statistics and introduces new concepts with several fun and easy to understand examples.

This course is, quite literally, for everyone. If you think you can’t learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Even if you are a relatively advanced researcher or analyst, this course provides a foundation and a context that helps to put one’s work into perspective.

  • MOOC Name: Database, Internet, and Systems Integration Technologies

MIM related course: INFM 747 Web-Enabled Databases


This course is an intensive review of information technology. It covers topics in software development methods, data modeling and databases, application development, Web standards and development, system integration, security, and data communications. Most of the homework sets lead the class through a project in which a database and Web application are designed and constructed, using good software process and addressing security, network and other issues. The project, which is done in two-person teams, provides hands-on experience to complement the lectures and readings. Recitations discuss readings and provide more detailed information on the software tools used. The course goal is to cover the key concepts in the major areas of information technology, to enable students to successfully understand, work with and manage IT efforts as part of supply chain, transportation or civil engineering projects.

  • MOOC Name: Managing Innovation and Entrepreneurship

MIM related course: INST 621 Managing Digital Innovations in Organizations


This course discusses the basics every manager needs to organize successful technology-driven innovation in both entrepreneurial and established firms. We start by examining innovation-based strategies as a source of competitive advantage and then examine how to build organizations that excel at identifying, building and commercializing technological innovations. Major topics include how the innovation process works; creating an organizational environment that rewards innovation and entrepreneurship; designing appropriate innovation processes (e.g. stage-gate, portfolio management); organizing to take advantage of internal and external sources of innovation; and structuring entrepreneurial and established organizations for effective innovation. The course examines how entrepreneurs can shape their firms so that they continuously build and commercialize valuable innovations. Many of the examples also focus on how established firms can become more entrepreneurial in their approach to innovation.

  • MOOC Name: Strategic Organizational Design

MIM related course: INFM 757 Organizational and Business Process Modeling


Strategic Organizational Design focuses on effective organizational design in both traditional and innovative organizations, with special emphasis on innovative organizational forms that can provide strategic advantage. Topics include when to use functional, divisional, or matrix organizations, how IT creates new organizational possibilities, and examples of innovative organizational possibilities, such as democratic decision-making, crowd-based organizations, internal resource markets, and other forms of collective intelligence. Team projects include inventing new possibilities for real organizations.

  • MOOC Name: MySQL Database For Beginners

MIM related course: INST 733 Database Design


  • Lifetime access to 22 lectures
  • 2+ hours of high quality content
  • A community of 58100+ people trying to learn the same thing!
  • 330+ discussions
  • MOOC Name: The Analytics Edge

MIM related course: INFM 718G Data-Intensive Information Processing Applications


In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will being using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.

  • MOOC Name: Project Management

MIM related course: INFM 706 Project Management


Want to learn about career opportunities and how UCLA Extension’s courses can prepare you to enter the field or obtain or maintain certification? This free program, conducted entirely online, provides a comprehensive overview of project management. During the week, participants log on at their own pace to review presentations by Extension’s dedicated group of project management instructors. Discussion boards offer opportunities for questions and answers. Topics include the project manager’s role, careers in project management, UCLA Extension’s project management certificates, review of program courses, and the Project Management Professional (PMP) certification and examination.

  • MOOC Name: Healthcare Information and Management System

MIM related course: INST 728K Consumer Health Informatics


This course offers an overview of healthcare, health information technology, and health information management systems. The focus is on the role and responsibilities of entry-level health IT specialists in each phase of the health information management systems lifecycle. The curriculum is aligned to the new Certified Associate in Healthcare Information and Management Systems (CAHIMS) certification administered by the Healthcare Information and Management Systems Society. This certificate is designed for students who have previous experience in IT or healthcare and it is designed to serve as a pathway into health IT careers.

  • MOOC Name: Statistical Reasoning 

MIM related course:  INST 714 Information For Decision Making

INST 627 Data Analytics for Information Professionals


Statistical Reasoning introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.