All of us will encounter statistical problems in our lives since it is the science of collecting, analyzing, and making deductions from the data available. Learning the basics of statistics will enhance our analytical skills to help us decide objectively. See More: https://bit.ly/2J837UP

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Applied Statistics Diploma
( 8 REVIEWS ) 544 STUDENTS
All of us will encounter statistical problems in our lives since it is the science of collecting, analyzing,
and making …
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LEVEL 3 - DIPLOMA
COURSE BADGE
COURSE CERTIFICATE
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All of us will encounter statistical problems in our lives since it is the science of collecting, analyzing,
and making deductions from the data available. Learning the basics of statistics will enhance our
analytical skills to help us decide objectively.
This Applied Statistics Diploma will focus on the theoretical foundations of statistical methods
which are useful for real-life applications. This will make you appreciate the role of statistics in our
lives.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to
complete the course, the answers will be in the form of written work in pdf or word. Students can
write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers
are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the
assignment of the course as part of the assessment. Upon successful completion of a course, you can
choose to make your achievement formal by obtaining your Certi cate at a cost of £49.
Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can:
Add the certi cate to your CV or resume and brighten up your career
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Course Credit: MIT
COURSE CURRICULUM

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Module: 01
Introduction to Statistics 01:18:00
Introduction to Statistics (cont.) 01:17:00
Parametric Inference 01:23:00
Parametric Inference (cont.) and Maximum Likelihood Estimation 01:18:00
Maximum Likelihood Estimation (cont.) 01:17:00
Module: 02
Maximum Likelihood Estimation (cont.) and the Method of Moments 01:19:00
Parametric Hypothesis Testing 01:19:00
Parametric Hypothesis Testing (cont.) 01:19:00
Parametric Hypothesis Testing (cont.) ii 01:22:00
Module: 03
Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit 01:23:00
Testing Goodness of Fit (cont.) 01:21:00
Regression 01:16:00
Regression (cont.) 01:14:00
Regression (cont.) II 01:16:00
Module: 04

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Bayesian Statistics 01:20:00
Bayesian Statistics (cont.) 01:03:00
Principal Component Analysis 01:17:00
Principal Component Analysis (cont.) 01:17:00
Module: 05
Generalized Linear Models 01:15:00
Generalized Linear Models (cont.) 01:18:00
Generalized Linear Models (cont.) ii 01:19:00
Generalized Linear Models (cont.) iii 00:55:00
Assessment
Submit Your Assignment 00:00:00
Certi cation 00:00:00
COURSE REVIEWS
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