CERT

Data Science Certification

Online Program Overview

Degree Level
Certificates
Total Credits
12
Delivery
Fully Online
Contact Us
Minimum GPA
3
Qualifying Exam
GRE Not Required

The Certification of Professional Achievement in Data Sciences prepares students to expand their career prospects or change career paths by developing foundational data science skills.

Individuals looking to strengthen their career prospects or make a career change by developing in-depth expertise in data science would benefit from this program.

Admissions Requirements

  • Undergraduate degree
  • Prior quantitative coursework (calculus, linear algebra, etc...)
  • Prior introductory to computer programming coursework

Applicants to the Certification of Professional Achievement Program must submit official transcripts, personal-professional statement, 3 letters of recommendation, resume, and the $150 application fee.

Candidates for the Certification of Professional Achievement in Data Sciences, a non-degree part-time program, are required to complete a minimum of 12 credits.

Description

  • CSOR W4246 ALGORITHMS FOR DATA SCIENCE

  • STAT W4700 PROBABLITY AND STATISTICS

  • COMS W4721 MACHINE LEARNING FOR DATA SCIENCE

  • STAT W4701 EXPLORATORY DATA ANALYSIS AND VISUALIZATION

Course List

CSOR W4246 ALGORITHMS FOR DATA SCIENCE

Prerequisites: basic knowledge in programming (e.g., at the level of COMS W1007), a basic grounding in calculus and linear algebra.
Methods for organizing data, e.g. hashing, trees, queues, lists,priority queues. Streaming algorithms for computing statistics on the data. Sorting and searching. Basic graph models and algorithms for searching, shortest paths, and matching. Dynamic programming. Linear and convex programming. Floating point arithmetic, stability of numerical algorithms, Eigenvalues, singular values, PCA, gradient descent, stochastic gradient descent, and block coordinate descent. Conjugate gradient, Newton and quasi-Newton methods. Large scale applications from signal processing, collaborative filtering, recommendations systems, etc.

STAT W4700 PROBABLITY AND STATISTICS

Prerequisite: Calculus.
This course covers the following topics: Fundamentals of probability theory and statistical inference used in data science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference; point and confidence interval estimation, hypothesis tests, linear regression.

COMS W4721 MACHINE LEARNING FOR DATA SCIENCE

Prerequisites: Background in linear algebra and probability and statistics.
An introduction to machine learning, with an emphasis on data science. Topics will include least squares methods, Gaussian distributions, linear classification, linear regression,  maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models, hidden Markov models, support vector machines, and kernel methods. Part of the course will be focused on methods and problems relevant to big data problems.

STAT W4701 EXPLORATORY DATA ANALYSIS AND VISUALIZATION

Prerequisite: programming.
Fundamentals of data visualization, layered grammer of graphics, perception of discrete and continuous variables, introduction to Mondran, mosaic pots, parallel coordinate plots, introduction to ggobi, linked pots, brushing, dynamic graphics, model visualization, clustering and classification.

Tuition & Fees

2016 -2017 Tuition & Fees

Please note that all tuition and fees are in U.S. dollars and are estimated. Tuition and most fees are prescribed by statute, and are subject to change at the discretion of the Trustees.

CVN Credit Tuition: $1858 per point (Credit Hour)
CVN Fee: $395 non-refundable fee per course
Transcript Fee: $105 non-refundable one-time fee

CVN Audit Tuition: $834 per point (Credit Hour)
Graduate Admission Application Fee: $150 non-refundable one-time fee
CVN Fee: $395 non-refundable fee per course

Certification Program Application Fee: $150 non-refundable one-time fee

Late Registration Fee: $100 non-refundable fee

CVN Withdrawal Fee: $75, plus prorated tuition and all non-refundable fees

For example: A three credit course would be $5574 + transcript fee $105 (one-time) + CVN fee $395 = $6074

 

Payment should be mailed to:

Columbia Video Network
540 S.W. MUDD Building, MC4719
500 West 120th Street
New York, NY 10027

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