Statistical Analysis

Description

This comprehensive course on Statistical Analysis will deepen your understanding on this topic.

After successful completion of this course you can acquire the required skills in this sector. This Statistical Analysis comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.

So enrol in this course today to fast track your career ladder.

At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price.

There is no experience or previous qualifications required for enrolment on this Statistical Analysis. It is available to all students, of all academic backgrounds.

Our Statistical Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.

There is no time limit for completing this course, it can be studied in your own time at your own pace.

Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-

And much more!

14 sections • 16 lectures • 06:28:00 total length

•The Realm Of Statistics: 00:26:00

•Basic Statistical Terms: 00:41:00

•The Center of the Data: 00:07:00

•Data Variability: 00:15:00

•Binomial and Normal Distributions: 00:14:00

•Binomial Probabilities Table: 00:14:00

•Z-Table: 00:04:00

•Introduction to Probability: 00:35:00

•Estimates and Intervals: 00:34:00

•Hypothesis Testing: 00:31:00

•Regression Analysis: 00:11:00

•Algorithms, Analytics and Prediction: 00:47:00

•Learning From Experience: The Bayesian Way: 00:31:00

•Doing Statistics: The Wrong Way: 00:37:00

•How We Can Do Statistics Better: 00:41:00

•Assignment - Statistics Essentials: 00:00:00