Statistical Data Analysis
- Duration: 3 days
- Fee: Request
- Start Date: Request

Communicate Statistical Results Effectively
This course will equip participants with the knowledge to develop data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, data wrangle and data visualization.
Learning outcome:
- Comprehend the principles, techniques, and practices relevant to Statistics
- Conduct Hypothesis Testing
Who should attend:
3 days of in depth learning
Face to face with experienced Data Scientist.
Course Methodology
This course will utilize a combination of Presentations and Workshops.
CADS Certification
Earn certification upon completion.
Python Programming II or R Programming II
Undergraduate Degree
Training Track
Enterprise Data Analyst (EDA)
Statistical Data Analysis is one of the modules under our Enterprise Data Analyst (EDA) program. EDA is a 28-day training program that provides analysts with the tools to be immediate contributors to a data science team. They will assist to frame business requirements as analytics models.

Details of Subject
- Introduction to Probability and statistics –
- Expectation, variance, quantiles
- Sampling
- Simulation
- Distribution
- Probability distribution function
- Main distributions (incl. what are they used for) –
- Discrete/continuous distributions
- Binomial, geometric and Poisson distribution
- Exponential and normal distribution
- Central limit theorem
- Hypothesis/statistical testing –
- Test of hypothesis on one and two population parameters
- Chi-square test of independence
- Type I and type II error
Lead Instructor

CADS Certification
EDA CADS Certified Enterprise Data Analyst
Certification information for this module & track will be made available soon.

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Statistical Data Analysis