Data Science and Engineering 1:

DSE 1: Data Analytics and Modeling

This is a foundational course in data science. It follows the Foundations prerequisites course and builds on it in 3 directions: (a) It develops your ability to obtain, clean and process data from different sources such as web pages (Scraping), Spreadsheets (Pandas), APIs (Http/JSON) and documents (parsing) (b) It develops your skills in pre-modeling and post-modeling exploratory data analysis and visualization (c) It introduces you to similarity, PCA, machine learning pipelines, and recommendation systems

  • Know This First (or testing out of it)
  • AI 1


  • http, APIs, scraping
  • Text parsing with regex and other methods
  • Simple machine learning pipelines and data leakage
  • More pandas, and sql. 
  • Post modeling visualization, best practices, and communication
  • Exploratory data analysis and visualization
  • PCA and unsupervised learning
  • Querying, Embeddings and Similarity, MLPs for tabular data
  • SGD, collaborative filtering, and recommendation systems

After you finish this module, you will be ready to run complex data analytics on your own, all the way from fetching (from the internet or databases) and cleaning the data, setting up pipelines, to exploratory data analysis, visualization and modeling. You will also be able to write recommendation systems and communicate results from your analysis.

Prerequisites

Topics

Learning Objectives

Apply

Schedule

Students

Summer Cohort

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Conducted alongside elective

Winter Cohort

Intake 1:

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Conducted along with elective

Intake 2:

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Conducted along with elective

Working Professionals

Summer Cohort

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective

Fall Cohort

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective

Winter Cohort

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective