The field and what it’s for
Define data science as data, math, statistics and machine learning, and see where it creates value in healthcare, retail, finance and energy.






























A three-hour survey of data science in six modules. It defines the field and its applications in healthcare, retail, finance and energy, then builds the mathematics: calculus, optimization algorithms and linear algebra.
Statistics, from probability and hypothesis tests to the Central Limit Theorem, comes next, then the core machine learning methods and their metrics, A/B testing, and an introduction to NLP and language models.
Define data science as data, math, statistics and machine learning, and see where it creates value in healthcare, retail, finance and energy.
Refresh algebra and calculus, study gradients and optimizers such as SGD and RMSprop, and work through the linear algebra that ML uses.
Move from probability and Bayes’ rule to distributions, hypothesis tests, p-values and the Central Limit Theorem.
Survey supervised and ensemble methods, design and analyze A/B tests in Python, and meet NLP from TF-IDF to BERT and GPT.
Define data science as data, math, statistics and machine learning, see how it creates value, and look at applications and case studies across industries.
Look at what to expect from the work, the common entry roles and career trajectories, and how data science leads on to AI and machine learning.
Refresh algebra, trigonometry and geometry, then cover derivatives, gradients, optimization algorithms and linear algebra from vectors to QR decomposition.
Cover probability and Bayes’ rule, descriptive statistics and key distributions, then regression, hypothesis tests, p-values and the Central Limit Theorem.
Compare supervised and unsupervised learning, then work through regression, KNN, LDA, trees and ensembles, resampling, and the metrics that score them.
Design and analyze A/B tests, with power analysis and sample sizes, then meet NLP: tokenization, TF-IDF, word embeddings and an overview of LLMs.

Instructor · LUNARTECH
Tatev brings industry experience, advanced AI/ML degrees and a reputation as a thought leader in data science to LUNARTECH. She holds Bachelor’s and Master’s degrees in STEM, and her publications in top journals and presentations at international conferences showcase her expertise.
Start with what the field is, then the math and statistics every later model rests on.
Compare supervised and unsupervised learning, then ensembles, resampling and metrics.
Run A/B tests that avoid p-hacking, then take a first step into NLP.
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Every role uses all six modules. Here’s where each one leans hardest, and where its work ends up.
Brings math, statistics and models to one question. Picks a metric that fits what is being predicted.
Mathematics, Statistics, Core ML
Healthcare, Retail, Finance, Energy
Describes data with the right statistics. Tests whether a difference is more than noise.
Statistics, A/B testing, NLP
Retail, Finance
Understands the optimizer underneath a model. Scores each model with the right metric.
Mathematics, Core ML
Finance, Energy
Sizes and runs A/B tests without p-hacking. Separates statistical from practical significance.
Statistics, A/B testing, NLP
Retail
Brings math, statistics and models to one question. Picks a metric that fits what is being predicted.
Over 10,000 students trust LUNARTECH
Understand systems all the way down. Build the ones others rely on.
Understand what the data says. Build models that hold up.
Understand the papers. Build on them, and take the work further.
+340%growth in open roles requiring AI skills
Open roles: Built In, Greenhouse, LinkedIn.
Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
Updated November 2026.
Need help? These answers cover most of what people ask before they start.
As an introduction: tokenization, bag of words and TF-IDF, word embeddings, and an overview of BERT, GPT and T5.
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Three hours across math, statistics, machine learning, A/B testing and NLP. Begin with a free lesson, or enroll in the full course.