Programming for Data Science Certificate – Python for Experienced Programmers

This certificate program will help you master Python and become an expert at building predictive models, machine learning algorithms, and work-based statistical methods.

Overview

Our Programming for Data Science Certificate for experienced programmers will help you take your Python skills to the next level. This ten course program – including seven required courses and three electives – will enable you to become an expert in building data products, authoring software platforms and developing visualizations, using Python.

The core curriculum, taught by leading experts in this industry, covers Deep Learning, SQL, and Text Mining using Python plus an intensive study of predictive analytics so you’ll be able to apply your skills immediately at your current job or leverage them as you seek a better one.

This certificate is considered the equivalent of a Master’s degree program and earns 28 course credits in the U.S. academic system which are transferable as college credit – via the American Council on Education – to other institutions in the U.S. See course offerings below.

Please note: The Programming for Data Science Certificate Program is available in four levels. Be sure to choose the one that is right for you:

Novice Python Programmers | Python Experienced Programmers | Novice R Programmers | Experienced R Programmers

Who This Certificate Serves

Are you an experienced Python programmer working, or seeking a job, in data science? You'll be pleased to know that according to online job sites "Data Scientist" has been rated the #1 career in America for the past four years. In this data-driven world, programmers are a hot commodity and are needed to build data products, author software platforms, develop visualizations, and architect machine learning algorithms. Related job titles include:

VP, Director, Manager Technology with Python experience
Programmer with Python experience
Data Scientist with Python experience
Technical Analyst with Python experience

Statistician, with Python experience
Data Analyst with Python experience
Researcher with Programming and Python experience
Software Developer with Python experience

Learning Outcomes

Upon completion of this program, you'll have harnessed Python and be able to build predictive models, machine learning algorithms, and work-based statistical methods. This will include practical experience to:

Use and apply your advanced expertise in Python for data analytics and data mining
Read, understand, modify, and create complex functions to perform a variety of tasks.
Implement best programming practices and the development of clear, concise code
Manipulate data programmatically using Python functions of your own design
Extract data from a relational database using SQL with Python so that you can perform statistical operations

Use Tensorflow for deep learning and deploy the essential techniques of text mining, for predictive methods to unstructured text.
Understand and deploy predictive models: classification and prediction
Extract, clean, prepare, and mine real data for a predictive model
Understand how to unearth and analyze data in the customer lifecycle
Integrate supervised and unsupervised learning techniques

Prerequisites

You should be familiar with introductory statistics; if needed we can enroll you in Statistics 1 and Statistics 2 at no charge. We also assume you are an experienced Python programmer.

If you are still somewhat new to Python, you may want to enroll in our Certificate for Data Science for Novice Python programmers.

Statistics 1 – Probability and Study Design

This course, the first of a three-course sequence, provides an introduction to statistics for those with little or no prior exposure to basic probability and statistics.

Topic: Statistics, Introductory Statistics | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: Oct 30, 2020, Nov 27, 2020, Jan 1, 2021, Feb 5, 2021, Mar 5, 2021, Apr 2, 2021, May 7, 2021, Jun 4, 2021, Jul 2, 2021, Aug 6, 2021, Sep 3, 2021

Statistics 2 – Inference and Association

This course, the second of a three-course sequence, will teach you the use of inference and association through a series of practical applications, based on the resampling/simulation approach, and how to test hypotheses, compute confidence intervals regarding proportions or means, computer correlations, and use of simple linear regressions.

Topic: Statistics, Introductory Statistics | Skill: Introductory | Credit Options: ACE, CEU
Class Start Dates: Nov 6, 2020, Dec 4, 2020, Jan 8, 2021, Feb 5, 2021, Mar 12, 2021, Apr 9, 2021, May 7, 2021, Jun 11, 2021, Jul 9, 2021, Aug 6, 2021, Sep 3, 2021, Oct 8, 2021, Nov 5, 2021, Dec 10, 2021, Jan 7, 2022, Feb 11, 2022

Required Courses

The Biostatistics Certificate Program consists of ten 4-week courses offered completely online at Statistics.com. Below find the seven required courses you will need to take:

Deep Learning

This course will introduce you to the essential techniques of text mining as the extension of data mining’s standard predictive methods to unstructured text.

Topic: Data Science, Machine Learning, Using Python | Skill: Intermediate | Credit Options: ACE, CEU
Class Start Dates: Nov 12, 2021, Nov 11, 2022, Nov 10, 2023

Predictive Analytics 1 – Machine Learning Tools with Python

This course introduces the basic paradigm for predictive modeling: classification and prediction.

Topic: Data Science, Analytics, Machine Learning, Prediction/Forecasting, Using Python | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 15, 2021, May 14, 2021, Sep 17, 2021

Predictive Analytics 2 – Neural Nets and Regression with Python

As a continuation of Predictive Analytics 1, this course introduces to the basic concepts in predictive analytics, with a focus on Python, to visualize and explore predictive modeling.

Topic: Data Science, Analytics, Machine Learning, Prediction/Forecasting, SQL, Using Python | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Nov 13, 2020, Mar 12, 2021, Jul 9, 2021, Nov 12, 2021

Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules with Python

This course, with a focus on Python, will teach you key unsupervised learning techniques of association rules – principal components analysis, and clustering – and will include an integration of supervised and unsupervised learning techniques.

Topic: Data Science, Analytics, Machine Learning, Prediction/Forecasting, Using Python | Skill: Introductory, Intermediate | Credit Options: CEU
Class Start Dates: Jan 15, 2021, May 14, 2021, Sep 17, 2021

Predictive Analytics – Project Capstone

A predictive modeling practicum for the predictive analytices course program.

Topic: Analytics, Machine Learning | Skill: Introductory, Intermediate | Credit Options: CEU
Class Start Dates: Mar 12, 2021, Sep 10, 2021, Mar 11, 2022

SQL – Introduction to Database Queries

This course will teach you how to extract data from a relational database using SQL and merge data into a single file in R so that you can perform statistical operations.

Topic: Data Science, SQL | Skill: Introductory, Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Nov 13, 2020, Mar 12, 2021, Jul 9, 2021, Nov 12, 2021, Mar 11, 2022

Text Mining using Python

This course will teach you the essential techniques of text mining, understood here as the extension of data mining’s standard predictive methods to unstructured text.

Topic: Data Science, Machine Learning, Text Mining, Using Python | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Jan 15, 2021, Jun 11, 2021, Jan 14, 2022, Jan 13, 2023

Elective Courses

In addition to the required courses for the Programming for Data Science Certificate Program, you must choose three electives from the list below to complete your program:

Matrix Algebra

This course will teach you 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.

Topic: Statistics, Statistical Modeling | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Mar 26, 2021, Aug 13, 2021, Mar 25, 2022

Multivariate Statistics

This course will teach you key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis, and classification.

Topic: Statistics, Statistical Modeling | Skill: Intermediate, Advanced | Credit Options: CEU
Class Start Dates: Jan 29, 2021, Jul 23, 2021, Jan 28, 2022

Natural Language Processing

This course will teach you the algorithms, techniques and software used in natural language processing (NLP).

Topic: Data Science, Machine Learning, Text Mining | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Mar 12, 2021, Jul 9, 2021, Mar 11, 2022

Natural Language Processing Using NLTK

This course will introduce you to natural language processing (NLP) processes into your projects and software applications.

Topic: Data Science, Machine Learning, Text Mining, Using Python | Skill: Intermediate, Advanced | Credit Options: CAP, CEU
Class Start Dates: Sep 3, 2021

Forecasting Analytics

This course will teach you how to choose an appropriate time series model: fit the model, conduct diagnostics, and use the model for forecasting.

Topic: Analytics, Prediction/Forecasting | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Nov 13, 2020, Mar 12, 2021, Jul 9, 2021, Nov 12, 2021

Anomaly Detection

In this course you will learn how to examine data with the goal of detecting anomalies or abnormal instances.

Topic: Data Science, Machine Learning, Using Python | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: Nov 13, 2020, Nov 12, 2021, Nov 11, 2022

Course Calendar

You can get started with either of these courses:

Predictive Analytics 1
SQL – Introduction to Database Queries

Try it out: take one of the courses, then apply it retroactively to your certificate program after you enroll.

Predictive Analytics 2 - Neural Nets and Regression with Python	(4-week class)	Nov 13, 2020
SQL - Introduction to Database Queries	(4-week class)	Nov 13, 2020
Predictive Analytics 1 - Machine Learning Tools with Python	(4-week class)	Jan 15, 2021
Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules with Python	(4-week class)	Jan 15, 2021
Text Mining using Python	(4-week class)	Jan 15, 2021
Predictive Analytics - Project Capstone	(4-week class)	Mar 12, 2021
Predictive Analytics 2 - Neural Nets and Regression with Python	(4-week class)	Mar 12, 2021
SQL - Introduction to Database Queries	(4-week class)	Mar 12, 2021
Predictive Analytics 1 - Machine Learning Tools with Python	(4-week class)	May 14, 2021
Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules with Python	(4-week class)	May 14, 2021

What Our Students Say

In a nutshell of the 13 Statistics.com courses I have completed to date, this is one of the top three in the intellectual excitement it generated, and the very best taught of all. Prof. Sen has created a jewel of a class,packing an entire semester's work into 4 weeks, but doing so with such intelligence, panache, and elegance that I enjoyed every minute of the many hours I devoted to it. His deft blending of video lectures, outside reading, sample programs, and personal feedback on homework was exemplary. It would have taken me a whole year to learn this material on my own, if I could have done so at all. I cannot praise this course highly enough

Milan Hejtmanek

Seoul National University

The two instructors are to be congratulated in putting together a jewel of a short course, one of my very favorite among the many I have taken at Statistics.com. The discussion with such experts was particularly valuable and greatly enhanced the value of the course. If there were an extension to this course, I would gladly take it.

Milan Hejtmanek

Seoul National University

Tuition and Fees

Our Programming for Data Science Certificate Program – the equivalent of a Master’s Degree in content and topical coverage – is a fraction of the cost of what you would pay at a University. The workload is equal to 28 credits in the U. S. academic system which are transferable via the American Council on Education. Choose to pay as you go, or get a discount for paying in full today.

Pay As You Go

$5,582

Pay In Advance

$5,000

Payment options

$5000 one-time fee [best value]

$290/month for 18 months [$5220]

$495 enrollment + course fees [$5750]

Frequently Asked Questions

Are there admission requirements?

You should have recently had introductory statistics, equivalent to our Statistics 1 and Statistics 2 courses. If you haven’t, or if you’d like to go over that basic material again as a refresher course, we’ll put enroll in Statistics 1 and Statistics 2 at no charge once we accept your application.

Please see our knowledge center for more information.

Is there an application deadline for the certificate program?

Applications are accepted year-round on a rolling basis and courses begin every month.

What if courses in the series don’t match what I need?

If courses in our program don’t match what you need, we can create a custom program for you. Tell us what you have in mind, and we can work together to create a program that makes sense.

Are the certificate programs accredited?

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

In addition, many of the courses at The Institute for Statistics Education have been recommended for credit by The American Council on Education (ACE), INFORMS, and can be used as CEUs in many programs.

The American Council on Education (ACE) approved credit for many of the required courses for our certificate programs and can be transferred to another educational institution that accepts ACE credit.

How long do I have to complete the 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 three (3) years to complete the certificate.

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

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Valerie Troiano

Certificate Enrollment

Phone

+1 (571) 281-8817

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Additional Series Information

Organization of Program

The Certificate program includes are all standard Statistics.com courses – small classes, regular interaction with your instructor throughout the course, rapid expert feedback on your homework and projects. You can register for the courses individually, and even incorporate courses that you have recently successfully completed.

Time Requirements

There are 10 courses, each are 4 weeks long. You may build your own course calendar to meet your individual requirements. The certificate program can be completed in less than a year, depending on your time constraints and course availability.

Course Fee & Information

The fee for the biostatistics certificate program if you pay in full is only $5,000. This includes the program registration fee, and individual course fees. It reflects considerable savings that are available if you pay the program cost upon enrollment. Note: all tuition held on account must be used within two (2) years from date of purchase.

You also have the option to pay on a course-by-course basis with our pay as you go model estimated fee of $5,584. You will need to pay the registration fee to enroll which is $495. The “pay-as-you-go” estimate includes the registration fee, individual course fees (required: $3,313 and estimated electives:$1,446) that you pay as you progress through the program, as well as various tuition savings available to you once you are a matriculated certificate candidate at the Institute. The actual total cost of the program may vary slightly depending on several factors and may differ slightly from the estimate above; fees are subject to change without prior notice.

Options for Credit and Recognition

Our Biostatistics Certificate program – the equivalent of a Mastery Degree – is the equal to 28 credits in the U. S. academic system which are transferable via the American Council on Education. More details on ACE and accreditation can be found here.

Miscellaneous

Visit our knowledge base to learn more about our Certificate programs.