Data Analytics
Master foundational statistical reasoning, relational modeling, and business intelligence pipelines.
This course establishes fundamental competencies in empirical data extraction, exploratory data analysis, and statistical inference. Students progress from mathematical underpinnings like probability distributions and hypothesis testing to practical enterprise data modeling using SQL, Python, and business intelligence platforms. Upon completion, learners possess both the formal analytical rigor and the pragmatic toolkit necessary to translate raw telemetry into actionable organizational decisions.
Curriculum
Two complete tracks. Study either or both — each has its own exam and certificate.
A mathematically formal introduction to empirical data distributions, relational algebra, and inferential hypothesis testing.
Rigorous study of discrete and continuous probability spaces, measure of central tendency, and dispersion metrics.
- Axiomatic Probability and Conditional Expectation Lab40 min
- Moments of Univariate Distributions Lab45 min
- Bivariate Association and Covariance Structures Lab35 min
Careers this prepares you for
- Junior Data Analyst
- Business Intelligence Associate
- Operations Analyst
- Marketing Data Specialist