Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 1 of a 4-part series on Business Statistics, and would be beneficial for the learners who wish to enroll in business programs. The first two courses cover topics in the field of Descriptive Statistics, whereas the next two courses focus on the Inferential Statistics.
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 Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Indian Institute of Management Bangalore
Course Curriculum
Module: 01 | |||
Navigating through edX | 00:03:00 | ||
2 Data Cleanup | 00:06:00 | ||
Crunchbase: Descriptive Analysis | 00:07:00 | ||
Histograms | 00:05:00 | ||
Data visualisation | 00:03:00 | ||
Module: 02 | |||
Rankings | 00:08:00 | ||
R Installation | 00:06:00 | ||
RStudio Basics | 00:03:00 | ||
Yellowstone | 00:04:00 | ||
RStudio Panes | 00:04:00 | ||
Module: 03 | |||
Variables | 00:02:00 | ||
Scripts | 00:06:00 | ||
Vectors | 00:03:00 | ||
Data Input | 00:03:00 | ||
Dataframes | 00:03:00 | ||
Output | 00:03:00 | ||
Module: 04 | |||
Packages | 00:02:00 | ||
Reading Data | 00:05:00 | ||
Basic Plots | 00:04:00 | ||
Regression Fit | 00:06:00 | ||
Boxplots | 00:02:00 | ||
Multivariate Data | 00:02:00 | ||
Module: 05 | |||
Sampling Dataset | 00:03:00 | ||
Cloud Spreadsheets | 00:04:00 | ||
Cloud Spreadsheets | 00:04:00 | ||
Summary | 00:02:00 | ||
Salary Distribution | 00:06:00 | ||
Module: 06 | |||
Analysis | 00:06:00 | ||
Aggregating data | 00:06:00 | ||
Grouped Measures | 00:05:00 | ||
Driving Questions | 00:06:00 | ||
pmf and cdf | 00:07:00 | ||
Module: 07 | |||
Expectation | 00:02:00 | ||
Expectation of a Sum | 00:05:00 | ||
Law of Expectations | 00:09:00 | ||
Laws of Variance | 00:06:00 | ||
Probability and Correlation | 00:07:00 | ||
Module: 08 | |||
Uniform Distribution: Discrete | 00:04:00 | ||
Uniform Distribution: Continuous | 00:03:00 | ||
Uniform Distribution: Application | 00:04:00 | ||
Uniform Distribution: Quality Assurance | 00:04:00 | ||
Uniform Distribution: Continuous | 00:03:00 | ||
Uniform Distribution: Application | 00:04:00 | ||
Uniform Distribution: Quality Assurance | 00:02:00 | ||
Module: 09 | |||
Bernoulli Distribution | 00:04:00 | ||
Binomial Distribution | 00:08:00 | ||
Random Sample: Goal Seek | 00:04:00 | ||
Benford’s Law: Introduction | 00:07:00 | ||
Logarithms | 00:06:00 | ||
Poisson Distribution | 00:04:00 | ||
Poisson Distribution: Excel Functions | 00:04:00 | ||
Module: 10 | |||
Poisson Distribution: Application | 00:04:00 | ||
Exponential Distribution | 00:05:00 | ||
Exponential Distribution | 00:06:00 | ||
Simulation | 00:06:00 | ||
Predicted vs Observed | 00:05:00 | ||
Module: 11 | |||
Poisson and Exponential | 00:05:00 | ||
Simulation: Discrete | 00:06:00 | ||
Simulation: Generic Variables | 00:04:00 | ||
Monte Carlo | 00:06:00 | ||
Normal Distribution | 00:05:00 | ||
Simulation: Emergence of Normality | 00:03:00 | ||
Stock Returns | 00:03:00 | ||
Model vs Actual | 00:05:00 | ||
Module: 12 | |||
Independence | 00:05:00 | ||
Standardisation | 00:04:00 | ||
Chi-Square Test | 00:03:00 | ||
Aggregate Returns | 00:07:00 | ||
Summary Measures | 00:04:00 | ||
PR: Calculations | 00:07:00 | ||
Interview with Mrinal Wadhwa | 00:18:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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