Graduate Certificate in Foundations of Data Science

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Program description

With little or no prior computational or statistical experience, study online or in-person and enhance your career in a range of backgrounds in the Graduate Certificate in Foundations of Data Science (GCFDS). You'll gain a solid foundation in data science theories, methods and applications using complex data from a variety of fields, including business, science, health, engineering, agriculture, social science, natural resources, entertainment, communications, sports and more. Use data management tools, data visualization, machine learning model construction, as well as results interpretation and communication, in both academic and industry contexts.

Learn to store, prepare, visualize, analyze, model and communicate data.

Gain the basic terminology and concepts of data science.

Understand the components of a data science workflow and be able to apply this workflow to answer targeted questions using data.

Acquire advanced knowledge in data processing and machine learning, such as: data cleaning, data wrangling; regression and classification tasks; supervised and unsupervised machine learning. approaches; regression trees and deep neural networks; data visualization and communication of complex results.

Apply machine learning algorithms and associated tools in a cloud computing environment

Understand the limitations and ethical concerns around solving real-world problems using data collection and machine learning.

Develop competency with programming languages like Python.

The program consists of the following courses (12.0 credit hours):

Data Science 5010/Business Analytics 5010 - Introduction to Data Science and Analytics in Python I

Data Science 5020/Business Analytics 5020 - Data Visualization (1.5 credit hours)

Data Science 5050/Business Analytics 5050 - Data Wrangling (1.5 credit hours)

Data Science 5110/Business Analytics 5110 - Introduction to Data Science and Analytics in Python II

Data Science 5140/Business Analytics 5140 - Data Management (1.5 credit hours)

Data Science 5180 - Final Project (1.5 credit hours)

In case of discrepancies between this page and the Graduate Studies Calendar and Course Catalogue, the Graduate Studies Calendar and Course Catalogue shall prevail.

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Faculty of Arts and Science

خيارات الدراسة

دوام كامل (4 أشهُر )

رسوم التسجيــل
CAD$5,689.92 (US$ 4,180) سنوياً
Tuition fees: CAN $5,689.92 per 12.0 Credit Hour

* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة

تاريخ البدء

6 مايو 2024

مكان عقــد الدورة

University of Lethbridge

4401 University Drive,

LETHBRIDGE,

Alberta (AB),

T1K 3M4, Canada

عبر الانترنت/عن بعد (4 أشهُر )

رسوم التسجيــل
CAD$5,689.92 (US$ 4,180) سنوياً
Tuition fees: CAN $5,689.92 per 12.0 Credit Hour

* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة

تاريخ البدء

6 مايو 2024

شروط القبول

للطلاب الدوليين

Applicants must hold a baccalaureate degree (i.e. an undergraduate degree) in a related discipline from a recognized degree-granting institution; Have a minimum grade point average of 3.00 (based on 4.00 scale) on the last 20 graded university-level term courses OR calculated on the most recently completed master’s degree if the applicant is applying for another master’s degree.

English Language Requirements:

Test of English as a Foreign Language (TOEFL) taken within the last two years, with a minimum overall score of 86.

Academic International English Language Testing System (IELTS) test, taken within the last two years, with a minimum overall score of 6.5, and a minimum score of 6.0 in each band.

Academic Pearson Test of English (PTE), taken within the last two years, with a minimum overall score of 63.

Canadian Academic English Language (CAEL) Assessment, taken within the last two years, with a minimum overall score of 70.

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حول University of Lethbridge

جامعة ليثبريدج هي جامعة بحثية كندية عامة رائدة، يعمل طلابها مباشرة مع الخبراء لحل القضايا العالمية العالقة.

  • ثاني أفضل جامعة في برامج البكالوريوس في كندا
  • مجموعة متنوعة من البرامج التي تناسب جميع الطلاب.
  • الاستفادة من الأنشطة الخارجية والمناظر الطبيعية.
  • تقع فروعها في أفضل المدن الكندية المناسبة للعيش.

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