Programming for Data Science: Python (for experienced programmers)

Online Certificate Program

10 courses, 4 weeks each
$5,000

Programming for Data Science Certificate Program: Python (for experienced programmers)

This program is for you if:

  • You are familiar with Python and want to learn how to harness Python to build predictive models, machine learning algorithms, and statistical methods in your work

Note:  If you are a newcomer to Python, check out the Programming for Data Science Certificate Program: Python (for novices), which includes the introductory Python programming courses you need.

 

Program Contents

The Programming in Data Science Certificate Program Python B consists of ten 4-week courses offered completely online at Statistics.com.  There are required topics and a selection of electives.  The workload for the entire program is the equivalent of about 30 credits in the U.S. academic system.  At the completion of the program you will have learned how to:

  • Use Python for data analytics and data mining
  • Query databases with SQL
  • Extract, clean, prepare, and mine real data in a practicum, culminating the prototyping of a predictive model
  • Use Tensorflow for deep learning

Compare Statistics.com certificates to other graduate programs in analytics and data science

 

Planning my Program

Course ListView printable list of courses with first available start date.

 
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In this certificate program, there are '7' required courses + you choose '3' electives

 
 

FULL PROGRAM LIST
 
Required Courses (7)

  • Deep Learning
    This course will introduce the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text. Tuition: $469 (5.0 CEUs) Next three dates:
    November 08, 2019 to December 06, 2019November 06, 2020 to December 04, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics 1 - Machine Learning Tools - with Python
    Tuition: $469 (5.0 CEUs) Next three dates:
    January 17, 2020 to February 14, 2020May 15, 2020 to June 12, 2020September 04, 2020 to October 02, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics 2 - Neural Nets and Regression - with Python
    Tuition: $469 (5.0 CEUs) Next three dates:
    November 15, 2019 to December 13, 2019February 21, 2020 to March 20, 2020June 26, 2020 to July 24, 2020October 23, 2020 to November 20, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules - with Python
    Tuition: $469 (5.0 CEUs) Next three dates:
    January 17, 2020 to February 14, 2020May 15, 2020 to June 12, 2020September 04, 2020 to October 02, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics Project Capstone
    A predictive modeling practicum Tuition: $499 (5.0 CEUs) Next three dates:
    February 28, 2020 to March 27, 2020
    show more dates >> Learn more and register >>
  • SQL - Introduction to Database Queries
    The purpose of this course is to teach you how to extract data from a relational database using SQL, and merge it into a single file in R, so that you can perform statistical operations. Tuition: $469 (5.0 CEUs) Next three dates:
    November 15, 2019 to December 13, 2019March 13, 2020 to April 10, 2020July 31, 2020 to August 28, 2020March 12, 2021 to April 09, 2021July 30, 2021 to August 27, 2021
    show more dates >> Learn more and register >>
  • Text Mining using Python
    This course will introduce the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text. Tuition: $469 (5.0 CEUs) Next three dates:
    January 31, 2020 to February 28, 2020
    show more dates >> Learn more and register >>

Elective Courses (3 required)

  • Anomaly Detection
    Tuition: $469 (5.0 CEUs) Next three dates:
    October 18, 2019 to November 15, 2019October 16, 2020 to November 13, 2020October 15, 2021 to November 12, 2021
    show more dates >> Learn more and register >>
  • Forecasting Analytics
    This course will teach you how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting. Tuition: $499 (5.0 CEUs) Next three dates:
    November 15, 2019 to December 13, 2019March 13, 2020 to April 10, 2020July 10, 2020 to August 07, 2020November 13, 2020 to December 11, 2020March 12, 2021 to April 09, 2021July 09, 2021 to August 06, 2021November 12, 2021 to December 10, 2021
    show more dates >> Learn more and register >>
  • Matrix Algebra Review
    This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix. Tuition: $469 (5.0 CEUs) Next three dates:
    March 27, 2020 to April 24, 2020August 14, 2020 to September 11, 2020
    show more dates >> Learn more and register >>
  • Multivariate Statistics
    This course covers key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis and classification. Tuition: $499 (5.0 CEUs) Next three dates:
    January 31, 2020 to February 28, 2020
    show more dates >> Learn more and register >>
  • Natural Language Processing
    This course is designed to give you an introduction to the algorithms, techniques and software used in natural language processing (NLP). Tuition: $469 (5.0 CEUs) Next three dates:
    February 28, 2020 to March 27, 2020
    show more dates >> Learn more and register >>
  • Natural Language Processing Using NLTK
    After taking this course you will be equipped to introduce natural language processing (NLP) processes into your projects and software applications. Tuition: $469 (5.0 CEUs) Next three dates:
    September 11, 2020 to October 09, 2020
    show more dates >> Learn more and register >>
  • Spatial Statistics for GIS - Using R
    Spatial statistical analysis uses methods adapted from conventional statistics to address problems in which spatial location is the most important explanatory variable. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo. Tuition: $499 (5.0 CEUs) Next three dates:
    October 25, 2019 to November 22, 2019June 05, 2020 to July 03, 2020October 23, 2020 to November 20, 2020
    show more dates >> Learn more and register >>

Tuition and Fees:  $5000  

The above estimate includes the program registration fee, and individual course fees.  It reflects considerable savings that are available if you pay the program cost upon enrollment.  You also have the option to pay on a course-by-course basis:

  • Pay for your program upon enrollment:  $5000
  • Pay as you go: $5,584

 

Detailed Fees Description

Is there an application deadline?

No - applications are accepted and students are enrolled year round on a rolling basis. See the timeline tool in the "Program" tab to see the recommended sequence of courses starting in any given month.

 

Are there admission requirements?

We'd like you to have a Bachelor's degree from an accredited college or university, and some familiarity with programming*.

Also, you should have recently had introductory statistics, equivalent to Statistics.com's Statistics 1 and Statistics 2 . If you haven't, or if you'd like to go over that ground again, no worries. We'll put you in Statistics 1 and 2 at no charge once we accept your application! Statistics 1 starts at the beginning of each month.

*If you have no programming background, we can still help you.  Mention on your application that you need to speak to a counselor about this. 

 

What are the fees?

The enrollment fee is $495, which includes free enrollment in Statistics.com's Statistics 1 and Statistics 2 courses if needed. Once you are enrolled, you pay course tuition fees "as you go," at the discounted academic rate.

 

Is there any particular way I should schedule my courses?

Not really, no.  Scheduling is quite flexible with various courses offered all throughout the year and a class format that does not require you to be online at any specific times.  Most PASS students choose to take one course at a time, but we encourage you to plan your program in a way that fits your schedule and helps you personally learn best.

 

Can I get credit for courses I have already taken at Statistics.com?

Yes. You can apply up to three prior courses to your program, provided you got adequate marks.

 

If I have already mastered a topic from my work or prior academic experience, do I need to repeat it?

No. We do not want to waste your time. Just share with us how you covered the topic and we'll swap out that course for something else.

 

The courses in the PASS programs don't exactly match what I need. Can I craft a custom program?

Maybe. Contact us so we can review what you want to do, and work together to create a program that makes sense. A customization fee is charged.

 

How long do I have to complete the PASS certificate?

If you take one course at a time, most programs can be completed in 12-15 months.  We know that sometimes life takes unexpected turns, so you have 3 years to complete the certificate.

 

Are the certificate programs accredited?

  • The American Council on Education (ACE) has recommended academic credit for all the required courses in the Analytics for Data Science Certificate Program, so they can be easily transfered to another educational institution that accepts ACE CREDIT.
  • The Institute for Operations Research and the Management Sciences (INFORMS) chose Statistics.com as a Recognized Analytics Education Provider that supports the Certified Analytics Professional (CAP®) program.
  • Each course has C.E.U.'s granted, based on the length of the course.  (Typically 5.0 CEUs for 4 week courses.)
  • The Institute for Statistics Education itself is not an accredited academic institution, but is

    certified to operate by the State Council of Higher Education for Virginia (SCHEV).


Still have questions?

Contact the registrar (ourcourses [at] statistics.com)  and we'll try to answer them as well as possible.

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Student Profile

The Statistics.com courses have helped me a lot, pushing me to the limit and making me learn much more than I expected I could. The knowledge I gained I could immediately leverage in my job ... then eventually led to landing a job in my dream company - Amazon.

 

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Senior Data Scientist, Amazon Europe

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