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      About Featured

      Master Data Science

      Cover the field in one pass: the math, the statistics, the models and the experiments. Then test an idea with A/B testing and meet NLP, from tokens to large language models.

      4.9 out of 5 for LUNARTECH, from 100+ reviews10,000+ students

      Partners and press
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
      Entrepreneur logo showcasing startup and business innovation by LUNARTECH.Forbes logo representing a global leader in business, finance, and entrepreneurship insights, associated with innovation and industry expertise by LUNARTECH.Bloomberg logo symbolizing financial data and market analytics, integrated by LUNARTECH.Insider logo highlighting business and technology trends by LUNARTECH.
      Entrepreneur logo showcasing startup and business innovation by LUNARTECH.Forbes logo representing a global leader in business, finance, and entrepreneurship insights, associated with innovation and industry expertise by LUNARTECH.Bloomberg logo symbolizing financial data and market analytics, integrated by LUNARTECH.Insider logo highlighting business and technology trends by LUNARTECH.
      Entrepreneur logo showcasing startup and business innovation by LUNARTECH.Forbes logo representing a global leader in business, finance, and entrepreneurship insights, associated with innovation and industry expertise by LUNARTECH.Bloomberg logo symbolizing financial data and market analytics, integrated by LUNARTECH.Insider logo highlighting business and technology trends by LUNARTECH.
      Overview

      Data science is data, math, statistics and machine learning, working as one.

      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.

      3Hours
      6Modules
      4.9Academy rating
      10,000+Students
      What you’ll learn

      Learn all the way down.
      Perform when it matters.

      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.

      The math behind the models

      Refresh algebra and calculus, study gradients and optimizers such as SGD and RMSprop, and work through the linear algebra that ML uses.

      Statistics for decisions

      Move from probability and Bayes’ rule to distributions, hypothesis tests, p-values and the Central Limit Theorem.

      Models, experiments and language

      Survey supervised and ensemble methods, design and analyze A/B tests in Python, and meet NLP from TF-IDF to BERT and GPT.

      Course outline

      Six modules, from what the field is
      to A/B tests and language models.

      6 modules3 hoursSelf-paced

      Define data science as data, math, statistics and machine learning, see how it creates value, and look at applications and case studies across industries.

      HealthcareRetailFinanceEnergyFraud detection

      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.

      Entry rolesCareer trajectoriesPath to AI and ML

      Refresh algebra, trigonometry and geometry, then cover derivatives, gradients, optimization algorithms and linear algebra from vectors to QR decomposition.

      CalculusGradient descentLinear algebraEigenvaluesQR decomposition

      Cover probability and Bayes’ rule, descriptive statistics and key distributions, then regression, hypothesis tests, p-values and the Central Limit Theorem.

      Bayes’ ruleDistributionsHypothesis testingp-valuesCentral Limit Theorem

      Compare supervised and unsupervised learning, then work through regression, KNN, LDA, trees and ensembles, resampling, and the metrics that score them.

      Linear and logistic regressionDecision treesXGBoostCross-validationF1, precision, recall

      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.

      A/B testingPower analysisp-hackingTF-IDFBERT, GPT and T5
      Your instructor
      Tatev Aslanyan

      Instructor · LUNARTECH

      Tatev Aslanyan

      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.

      Trusted by over 10,000 students
      How you get there

      Top-tier roles go to people who can do the work.
      Here’s how you get there.

      Lay the groundwork.

      Start with what the field is, then the math and statistics every later model rests on.

      Meet the models.

      Compare supervised and unsupervised learning, then ensembles, resampling and metrics.

      Test an idea, then read text.

      Run A/B tests that avoid p-hacking, then take a first step into NLP.

      Support

      Support at every stage.
      You won’t be working through this alone.

      Before you start

      Try it first.

      A 3-day free trial opens a selection of the content. Your card is only charged once it ends.

      While you learn

      Mentors within reach.

      Stuck on a concept? Reach out to a mentor whenever you need help.

      While you learn

      One-on-one sessions.

      On the yearly plan, one-on-one sessions give you dedicated support.

      Any time

      A team behind you.

      Write to info@lunartech.ai at any point, from your trial onwards. If your employer is funding you, we’ll set it up with them directly.

      All the way through

      A schedule that fits around your life.

      3 hours in totalYour own paceFrom anywhereAt any hour

      After the last lesson

      Stay in the network.

      Your alumni network stays with you: ongoing support, opportunities and industry insight.

      Career support

      Career support, past the last lesson. Coaching, a sharper resume, real interview preparation and the people to know.

      Career direction

      Tailored coaching helps you decide where to aim and how to get there.

      Course · 1 hourLaunching Your Data Science Career

      Strong portfolio

      Hands-on projects become work you can show, not just claim.

      Course · 60 hoursBuild Your Data Science Portfolio

      Resume and profile

      Personalized refinement, so what you send says what you can actually do.

      Course · 10 hoursPersonal Branding for Professionals

      Interview preparation

      Preparation for the questions that decide it, so you walk in ready.

      Course · 12 hoursMaster Deep Learning Interviews: 50 Q&A

      Network and search

      Connections with industry leaders, and an alumni network that stays with you.

      Course · 40 hoursData Science Career Playbook
      Reviews

      Real stories from the community.

      4.9out of 5, from 100+ reviews
      LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
      Farnia GhanizadehSerajAI Engineer
      Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
      Mahmoud A.Data Scientist
      The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
      Rod MorrissonHead of Data Science & AI
      I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
      Narine P.Data Analyst
      After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
      Raphael J., PhDQuantitative Analyst
      As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
      Stanley M.AI Engineer
      I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
      Sai Eshwar G.Data Scientist
      Why choose us

      Built around how you actually learn.

      One standard behind every course, from the first lesson to long after the last.

      Hands-on practice

      Apply every idea to real problems, so it becomes something you have used, not only seen.

      Industry-aligned curriculum

      We keep courses current with the tools, techniques and skills the field asks for.

      Flexible learning

      Study at your own pace, from anywhere, at any hour.

      Certificate of completion

      Finish the course and earn a certificate that shows what you have learned.

      Focus on your success

      Personalized learning plans and support structures carry you through the hard parts.

      Lifetime alumni network

      Stay connected after you finish, with ongoing support, opportunities and industry insight.

      Your certificate

      It doesn’t raise its voice. Neither will you.

      Finish the course and it is issued in your name, under our signature. There is no other way to get one.

      A sample. Only yours carries your name.
      Pricing

      This course comes with the membership.
      So does everything else.

      One membership opens every course, certification, workshop and masterclass in the Academy. Every plan starts with a 3-day free trial.

      3 days free, then $29.97 a month. Your card is only charged once the trial ends.

      Included in every plan

      • Every course in the Academy
      • Every certification course
      • Workshops and masterclasses
      • A certificate of completion
      • A 3-day free trial
      • Learning at your own pace
      • The lifetime alumni network
      • Upgrades at any time
      In practice

      Six modules. Four professions.
      A first map of the whole discipline.

      Every role uses all six modules. Here’s where each one leans hardest, and where its work ends up.

      1. 01The field
      2. 02Career path
      3. 03Mathematics
      4. 04Statistics
      5. 05Core ML
      6. 06A/B testing, NLP
      • 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

      • Healthcare
      • Retail
      • Finance
      • Energy
      Data Scientist

      Brings math, statistics and models to one question. Picks a metric that fits what is being predicted.

      Over 10,000 students trust LUNARTECH

      LUNARTECH gives you the skills
      to learn, build, create and lead.

      Engineers

      Understand systems all the way down. Build the ones others rely on.

      Scientists

      Understand what the data says. Build models that hold up.

      Researchers

      Understand the papers. Build on them, and take the work further.

      The field

      Anyone can use AI.
      Few can engineer it. This is where that starts.

      +340%growth in open roles requiring AI skills

      Data source: Stanford AI Index 2026 & 2024 (Lightcast data), Indeed Hiring Lab, Hacker News “Who’s Hiring”. Aug–Nov 2026 (dashed) is an estimate from the trend.
      Roles and pay

      ~35,000 open roles right now

      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.

      FAQ

      Frequently asked questions.

      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.

      Our 3-day free trial gives you access to a selection of content in the bootcamps, courses and materials, so you can experience the value of our content first-hand. This includes comprehensive learning materials and interactive sessions. You won’t be charged during this period, though we require your credit card details at the start to ensure a seamless transition should you choose to continue.

      Yes, entering your credit card details is a necessary step to begin your free trial. The process is entirely secure, and we ask for it to provide a seamless transition to a paid subscription if you decide to continue beyond the trial. You will only be charged after the trial period ends, with full access to our content based on the plan you choose.

      After your 3-day free trial you gain access to the full breadth of our content, depending on the subscription plan you choose. We offer free trials for our monthly, bi-annual and annual plans, and each plan provides a different scope of access and benefits.

      If your employer has agreed to fund your learning, in part or in full, please contact us at info@lunartech.ai. We’ll work with you and your employer to set up everything needed for your subscription.

      Yes. Our support remains strong both during your free trial and after you subscribe. Reach the team at info@lunartech.ai with any question, whether you’re onboarding, navigating your trial, or need help as a member. Subscribers to the yearly plan also receive dedicated support in one-on-one sessions.

      You can upgrade your plan at any time during your subscription. Downgrading is not available for bi-annual or annual plans, but you can cancel and then choose a new plan that suits you better. For bi-annual and annual plans we also offer payment in instalments; please reach out to learn more.

      A first survey

      See the whole field before you specialize.

      Three hours across math, statistics, machine learning, A/B testing and NLP. Begin with a free lesson, or enroll in the full course.

      6 modules3 hoursSelf-pacedCertificate of completion