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Students
Tuition Fee
USD 360
Per course
Start Date
2024-10-01
Medium of studying
Fully Online
Duration
1 months
Program Facts
Program Details
Degree
Courses
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 360
Intakes
Program start dateApplication deadline
2023-12-01-
2024-01-01-
2024-02-01-
2024-03-01-
2024-04-01-
2024-05-01-
2024-06-01-
2024-07-01-
2024-08-01-
2024-09-01-
2024-10-01-
2024-12-01-
About Program

Program Overview


Through hands-on modules and real-world applications, the program prepares graduates for careers as Data Analysts, Data Scientists, and other data-driven professionals. With access to industry-leading resources and expert support, learners gain the knowledge and skills to succeed in the rapidly evolving field of data analytics.

Program Outline


Final Project:

Culmination of the course requiring the application of learned skills to a practical project.


Assessment:

  • The course grading criteria and methods are available in the catalog.

Teaching:

  • The program utilizes various learning resources including readings, videos, interactive elements, quizzes, and case studies.
  • Regular assessments reflect real-world business scenarios and assess critical thinking skills.
  • Faculty support includes one-on-one consultations, individual feedback, and optional webinars.

Careers:

  • Graduates can pursue careers as Data Analyst, Data Scientist, Business Analyst, Marketing Analyst, and Research Analyst across diverse industries.

Other:

  • The program offers access to the Nexford online library, including millions of articles, reports, and publications like The Wall Street Journal and The Economist.
  • Learners receive unlimited access to LinkedIn Learning, providing access to over 16,000 expert-led courses and resources.
  • The course emphasizes practical applications, real-world scenarios, and industry-relevant tools. Graduates are well-positioned for successful careers in data-driven fields.
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