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.

 
Thanks

TimelineChoose your starting date and see course sequence.


When would you like to begin?
 
How to use:
1. Click "defer" for courses you are postponing or not taking.
2. Click "X" on weeks you're unavailable.

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 18, 2019 to February 15, 2019May 10, 2019 to June 07, 2019September 27, 2019 to October 25, 2019January 17, 2020 to February 14, 2020May 22, 2020 to June 19, 2020September 25, 2020 to October 23, 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:
    February 22, 2019 to March 22, 2019July 12, 2019 to August 09, 2019November 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 04, 2019 to February 01, 2019April 12, 2019 to May 10, 2019September 06, 2019 to October 04, 2019January 03, 2020 to January 31, 2020April 10, 2020 to May 08, 2020July 31, 2020 to August 28, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics Project Capstone
    A predictive modeling practicum Tuition: $499 (5.0 CEUs) Next three dates:
    March 01, 2019 to March 29, 2019August 23, 2019 to September 20, 2019February 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:
    March 15, 2019 to April 12, 2019July 12, 2019 to August 09, 2019November 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
    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:
    February 01, 2019 to March 01, 2019June 07, 2019 to July 05, 2019January 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:
    March 22, 2019 to April 19, 2019July 26, 2019 to August 23, 2019November 22, 2019 to December 20, 2019March 20, 2020 to April 17, 2020July 24, 2020 to August 21, 2020November 20, 2020 to December 18, 2020
    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 29, 2019 to April 26, 2019August 16, 2019 to September 13, 2019March 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:
    February 01, 2019 to March 01, 2019July 05, 2019 to August 02, 2019January 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:
    March 01, 2019 to March 29, 2019July 12, 2019 to August 09, 2019February 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 13, 2019 to October 11, 2019September 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:
    May 31, 2019 to June 28, 2019October 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.

EARN A CERTIFICATE
Please enter first name.
Please enter last name.
Please enter valid E-mail.
Please select any pass certificate.
Contact Us
Have a question about a program before you register? Call us. We're here for you. (571) 281-8817 or ourcourses (at) statistics.com


Student Profile

We’re trying to make it easier for patients to get their prosthetic arms to do exactly what they want them to do. I’ve applied what I’ve learned through my statistics.com courses, such as Baysian statistics, computing techniques, biostatistics, clinical trials, analysis and sensitivity software, bioavailability, probability distributions, data mining, and designing experiments to map brain impulses to muscle movement, which ultimately will help make prosthetics work on thought impulses.

Dr. Patricia A. Shewokis
Drexel University

see the complete student profile

  • OTHER PROFILES

GET MORE INFO
Please enter first name.
Please enter last name.
Please enter valid E-mail.
Please select any pass certificate.