Your Learner Verification
This is to verify that Akimu Augustine Ajayi has completed the course Diploma in Statistics on Alison.
Akimu Augustine Ajayi
Alison ID: 1338400
Course Completed: Diploma in Statistics
Date of Completion: 14th July 2013
Email: [email protected]
Total Study Time: 2h 17m
Final Assessment Score:
Alison courses requires at least
70% to pass the final assessment
97%
CPD Hours Completed:
CPD approved learning hours
completed through this course
1-3h
Course Information
Learn about statistics, and gain valuable skills for use in business, science, finance, engineering, economics and more.
For business and science in the 21st century, data is hugely important. With strong statistics skills, you can predict market changes, design traffic systems, build strong business strategies, and so much more. These skills are valuable. This course will start by discussing basic statistical methods such as sampling and collecting data. It will then introduce you to concepts of probability and methods of probability modelling, which are vital skills in high-paying industries of finance and investment banking.
You will then be introduced to distributions, and finally will get a full run through of regression analysis, which will give you important tools for working in the fields of engineering and economics. By the end of this course, you will have gained the knowledge and understanding to confidently read statistics and apply statistical methods within a range of working environments.
With the importance of statistics increasing every year, particularly in very high-paying industries such as finance and engineering, these are skills that will benefit you for life. With this free course, which takes less than 10 hours, these skills are now available to you. So get the boost you’re looking for today!
Modules Completed
Module 1: Collecting and analysing data
Module 2: Types of Graphs
Module 3: Frequency and Graphs
Module 4: Normal Distribution
Module 5: Probability
Module 6: Probability and Relative Frequency
Module 7: Regression
Module 8: Coefficient of Determination
Module 9: Non-linear Data
Module 10: Binomial Distribution
Module 11: Hypergeometric Distribution
Module 12: Univariate Data Part 1
Module 13: Univariate Data Part 2
Module 14: Bivariate Data
Module 15: Calculating a Seasonal Index
Module 16: Residual Analysis
Module 17: Trend Analysis
Module 18: Probability and Odds
Module 19: Summary Statistics
Module 20: Range
Module 21: Discrete Random Variables
Module 22: Statistics Assessment 1
Module 23: End of course Assessment
Module 24: Statistics Assessment 3
Module 25: Statistics Assessment 2
