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Program Advisors

  • Aly El Gamal

    Aly El Gamal

    Assistant Professor, Purdue University

    Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.

  • Professor Amey Karkare

    Professor Amey Karkare

    Department of Computer Science and Engineering, IIT Kanpur

    Professor Amey Karkare is the Poonam and Prabhu Goel Chair Professor, Department of Computer Science and Engineering at IIT Kanpur. His areas of focus are applications of Program Analysis, Compiler Optimizations, Software Engineering, and Machine Learning to build software systems.

  • Rick Hefner

    Rick Hefner

    Caltech CTME, Program Director

    Dr. Rick Hefner serves as the Program Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

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FAQs

  • What is data management?

    Data Management refers to the process of organizing, collecting, securing, storing, ingesting, and managing data. Every organization practices data management to secure and store its data and prevent data loss.

    The process of data management is carried out by a data manager who is responsible for making data-driven decisions. These data decisions have some major impacts on business decisions and day-to-day operations. By using efficient data visualization tools, a data manager constructs a framework of data that is accessible, secure, and productive.

  • What are data management systems?

    Data management systems are the foundational platforms where the professionals perform a set of data management duties. These systems comprise various processes and components that are used in extracting, structuring, analyzing, organizing, and storing data. The various processes involved in data management include data warehousing, data mining, data analysis, data integration, etc.

  • What does a data management process look like?

    Data management involves an array of tasks that are performed by a skilled professional. A data management process involves processing, validating, collecting, and storing data. This process involves dealing with unstructured and structured data, organizing, analyzing, and storing them. For an organization, data is a precious asset and to manage it requires skills.

  • What do data management courses include?

    Data management courses offer in-depth knowledge of the field and help develop professional skills. In these courses, students learn data management and many other vital concepts such as, data analysis, data warehousing, data management processes, data mining, data integration, big data technologies, database administration, data engineering, analyzing large datasets, business intelligence, business analytics, and many other topics. All of these areas are vital for data professionals.

    Such a course provides an overview of how real-world data is handled and used in making important business decisions. The course also makes students aware of data applications and data management systems. In other words, they are introduced to in-depth knowledge and skills necessary to master data management and become skilled data management professionals.

  • Why is data management important?

    Data management is important for every organization because it helps in minimizing potential errors and helps keep track of the overall data. From making data-driven decisions to organizing and keeping the data up-to-date, data management makes everything easier. Loss of valuable data can bring a lot of trouble to organizations, but data management makes it easy to track, secure, collect, mine, process, and organize data. Other reasons why data management is important are:

    • Enhanced Business Decisions.
    • Secured System.
    • Data Recovery Becomes Easy.
    • Becomes Easy To Find Errors And Bugs.
    • Enhanced Productivity And Efficiency.

  • Is data management a good career field?

    Data management is considered a lucrative and rewarding career with many scopes. By acquiring the right set of skills and degrees, for instance, by attending data management programs, anyone can easily build a successful career in this field. After course completion. It is possible to land jobs in the desired positions:

    • Data Analyst.
    • Data Manager.
    • Data Architect.
    • Security Analyst.
    • Support Specialist.
    • Software Developer.
    • Programmer Or Administrator.

  • What are the top career-boosting certifications?

  • What type of skills do you learn in a data management course?

    To establish a career in the data management field, one must acquire many professional skills, and with the help of a data management course, they can take a step toward building a strong career. The list of skills that must be acquired include:

    • Exceptional Analytical Skills With An Eye For Detail.

    • Familiar With Data Integrity.

    • Data Management Skills

    • Data Integration

    • Data Modeling Working With Data Models

    • Data Analysis

    • Data Governance

    • Knowledge Of Database Management Systems

    • Knowledge Of Data Management Systems And Data Management Processes.

    • Familiar To Programming Languages

    • Data Architecture And Data Warehousing Skills

    • Business Analytics Skills

    • Information Management And Knowledge Of Big Data

    • Understanding Of Statistics And Machine Learning.

    • Knowledge Of Data Visualization Tools.

    • Problem-Solving Skills.

    • Critical Thinking And Decision-Making Skills.

    • Understanding Of Mathematical Concepts And Algorithms. 

  • What are the career opportunities after completing a course on data management?

    After obtaining the data management certification, students can land some of the highest-paying job positions, such as:

    • Data Manager.
    • Senior Analyst.
    • Data Analyst.
    • Business Analyst.
    • Data Architect.
    • Chief Data Officer.

  • What prior knowledge and skills do you need to attend a data management course?

    Even if not much is asked before attending a data management course, if students have prior knowledge of programming languages such as Python or R and are a bit familiar with the concepts of SQL, machine learning, and artificial intelligence, the course may seem much easier to follow. Without prior programming skills, they cannot understand important concepts. It is best to have a prior degree in computer science, mathematics, statistics, and machine learning.

  • What does a data manager do?

    A data manager manages all the data of an organization. This professional is responsible for analyzing data, taking care of data security systems, storing, organizing, and collecting useful data, providing important data-based business decisions to implement in the business, and much more.

  • Are data managers in demand?

    The field of data management is growing rapidly, and there is a massive demand for data managers worldwide to deal with data-based problems of every organization and provide the most intelligent solutions. Data management is the core of the field of data science, which is the most highly-demanded career field at present date. So, those planning to build a future as a data manager, have plenty of career scope indeed.

  • What are the different types of data management?

    Data management may sound simple, but it has many branches. The different types of data management include:

    • Data Integration.

    • Data Warehouse.

    • Analytics Tools.

    • Data Architecture.

    • Data Management.

    • Data Modeling.

    • Rational Databases.

    • Big Data Management.

    • Data Governance.

    • Data Security. 

    • Data Quality Management.

    • Data Visualization And Integration.

  • What are the degrees you must acquire to become a data manager?

    Students can hold degrees in the field of:

    • Computer science.
    • Computer Engineering.
    • Data Engineering.
    • Business Administration.
    • Statistics and Machine Learning.
    • Artificial Intelligence.

    All of these degrees can lead them closer to the dream of becoming a data manager.

  • What is the expected salary of a data manager?

    In India, the average salary of a data manager is approximately USD 68,954. The packages vary, but the position is considered among the highest-paid ones.

  • Which programming languages must you know to become a data manager?

    To establish a career in data management or any field of data science, knowledge of programming languages is mandatory. One can choose either of these programming languages to proceed with their career choice:

    • Python programming.
    • R or Java.
    • C or C++.
    • SQL or JavaScript.
    • Scala or MATLAB.

  • What does a data management process look like?

    Data management involves an array of tasks that are performed by a skilled professional. A data management process involves processing, validating, collecting, and storing data. This process involves dealing with unstructured and structured data, organizing, analyzing, and storing them. For an organization, data is a precious asset and to manage it requires skills.

  • What are data management systems?

    Data management systems are the foundational platforms where the professionals perform a set of data management duties. These systems comprise various processes and components that are used in extracting, structuring, analyzing, organizing, and storing data. The various processes involved in data management include data warehousing, data mining, data analysis, data integration, etc.

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.