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Professional Diploma in Statistical Analysis for Data Science

The statistical analysis for data science diploma typically covers the fundamental statistical concepts and methods that are essential for analyzing and interpreting data. The course covers topics such as probability theory, statistical inference, hypothesis testing, regression analysis, analysis of variance, and time series analysis. It also covers the application of statistical methods in data science, including data pre-processing, exploratory data analysis, data visualization, and data mining.

5 ( 1 ratings ) 200 students enrolled
Reviewed on 2023-02-17 13:37:35 Last updated on 2024-12-22 01:24:11 English
What I will learn?

    Professional Diploma in Statistical Analysis for Data Science is a skill development programme offered by Pedagog, approved and awarded by European International University-Paris

     

    The course is geared towards students with a basic understanding of statistics and programming and will prepare students for more advanced courses in data science, machine learning, and artificial intelligence.

     

    This course is an ideal investment if you want to nurture a career as a data analyst, data scientist, database administrator, business intelligence analyst, and software developer in a wide range of industries, including finance, healthcare, technology, and government nationally & internationally.

     

    The students are required to submit the assignment in the form of a Performance-Based Task. This is a high-level application-oriented end-of-the-course assessment that requires students to create something out of what they have learned throughout the course.

     

    On successful completion of the course, the student will be awarded an Internationally accredited Diploma Certificate from EIU-PARIS, evidencing your competitive advantage locally and Internationally.

     

    THE DUAL CERTIFICATE is awarded by EIU-Paris (University) and Pedagog

    Please Note: A Hard Copy of the certificate from the university can be requested at an additional minimal fee, via e-mail to hello@pedagog.ac


Lessons for this course
1 Units
  •     Learning Material 20
  •     Assignment Outline 2
  •     Assignment Submission 20
Requirements
  • No Requirements
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Course Objective

Upon completion of the course, graduates can pursue careers as data analysts, data scientists, database administrators, business intelligence analysts, and software developers in a wide range of industries, including finance, healthcare, technology, and government.

About the institution
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Advanced Solutions Technical Institute
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About institution

Authorised Partners

Dr. Ancil Peters (Executive Director)

Advanced Solutions Technical Institute

T: (868) 610-7500 | M: (868) 485-1835

E: ancil@astitnt.com, education@astitnt.com

www.astitnt.com

#46 Boundary Road, San Juan, Trinidad and Tobago.


EMMANUEL CARIBBEAN UNIVERSITY

mainoffice.ecu@gmail.com

(876) 630-7633 (876) 801-9312 (WhatsApp)

Unit 36, Blue Diamond Shopping Mall

Irinshore. Mintego Bay, St. James, Jamaica


JAMAICA THEOLOGICAL SEMINARY

14 - 16 West Avenue 

Constant Spring

Kingston 8 

Phone: (876)-969-8211

Email: admissions@jts.edu.jm 



Dr. Wayne Charles-Soverall

Address: Apt.5, # 53 Husbands Heights,

St. James,

Barbados

Telephone Number: 1 246 830 6509

Student feedback
Average rating
5

KM

Kumar Mangalam


09:00:00 PM 2024-01-01

Well organized learning workflow. I can see they put a lot of effort into this course, So far the course is going well. I pursued this course as I am aiming to work as a Data Scientist in various MNCs across the world and I can feel that this course would be able to make me achieve my dream.



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