• 21April

    Master Of Science In Data Science By Birchwood University

    $10530.00

    Careerera (WS104490) 18 Months Live Online

Agenda of the Training:

Program Agenda

  • To equip students with industry-graded skills and expertise to make intelligent use of big data
  • To provide robust grounding in the core practices of data science
  • Blending theoretical and practical for optimal knowledge gain of the students to become competent leaders in Data Science
  • Enable students to develop models for extracting, managing and manipulating data to automate business and generate solutions for real-world problems.
  • Allowing students from diverse backgrounds and perspectives to build a solid grounding in Data Science and excel in their career
  • To capacitate prospective professionals with the skills to work in a multicultural set-up and leverage their analytical potential to the fullest
  • To develop the ability of developing, analyzing, and communicating empirical scholarly work.
  • Develop practical skills that are in demand in the Industry and propel the professional growth

Outcome of the Training:

Students completing the master of Data Science at Birchwood will cultivate future-proof skills and demonstrate competencies across numerous areas. The following are the program outcomes:

  • Excellent analytical, programming, and visualization skills and adept at communicating crucial findings in the most comprehensible manner to a diverse set of people.
  • Developed competence in the data science lifecycle, management of data, and infrastructure
  • Competent at building data-based models, efficient use of statistical software for accurate execution of statistical analyses
  • Developed efficiency and competency in data infrastructure and leveraging data power for advanced decision making 

Capable of adapting to ethical and professional regulation and efficiently developing responses to ethically challenging situations

Orientation Date: 21-April-2024 (America/New_York Time Zone)

Class Time: 08:00 AM-10:00 AM(America/New_York)

Note: Date and class time can change in the wake of unavoidable circumstances

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