Programming for Data Science Certificate – Python for Novice Programmers

This Certificate program will empower you to use Python to build predictive models, develop visualizations, design machine learning algorithms, and integrate statistical methods.

Overview

Our Programming for Data Science Certificate for novice programmers will give you the practical skills you need to become a Data Scientist. This ten course program – including eight core programs and two electives – will help you become a Python programmer enabling you to build predictive models, develop visualizations, design machine learning algorithms, and integrate statistical methods in your work or learning practicum.

The core curriculum, taught by leading experts in this industry, covers everything from Python basics, predictive analytics, text mining, and analytics forecasting and you’ll be able to apply your skills immediately as you seek a new career or in your learning practicum.

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

According to online recruiting site Glassdoor, “Data Scientist” has been rated the best job in America for the past four years. If you are new to programming and want to learn how to use Python for data science, you're on the right track. Related job titles include:

System Engineer
IT Programmers
Software Developers

Technical Analyst
Data Scientist
Statistician

Learning Outcomes

In this data-driven world, programmers are a hot commodity and needed to build data products and software platforms as well as develop visualizations and machine learning algorithms. The Programming for Data Science Certificate will deliver that and more:

Proficiently program in Python, at an intermediate level, and use Python for data analytics and data mining
Use basic Python skills and build data structures including how to move on to how to load data from different sources, rearrange and aggregate it
Build predictive models, develop visualizations, design machine learning algorithms, and integrate statistical methodsAnalyze and visualize data structures to create high-quality products
Query databases and extract data from a relational database using SQL so that you can perform statistical operations

Employ essential techniques of text mining, understood here as the extension of data mining’s standard predictive methods to unstructured text
Understand and deploy predictive models, using classification and prediction functions
Extract, clean, prepare, and mine data in a practicum, culminating the prototyping of a predictive model

Prerequisites

You should be familiar with introductory statistics; if needed we can enroll you in Statistics 1 and Statistics 2 at no charge.

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: 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: 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 Programming for Data Science Certificate Program consists of ten 4-week courses offered completely online at Statistics.com. Below find the eight required courses you will need to take:

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: 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

Python for Analytics

This course will teach you the basic Python skills and data structures – how to load data from different sources and aggregate it, and how to analyze and visualize it to create high-quality products.

Topic: Analytics, Using Python | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: Mar 12, 2021

Introduction to Python Programming

This course will introduce you to the basics of programming in Python on either Windows or Mac platform.

Topic: Data Science, Using Python | Skill: Introductory | Credit Options: CEU
Class Start Dates: Jan 15, 2021

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: Mar 12, 2021, Jul 9, 2021, Nov 12, 2021, Mar 11, 2022

Introduction to NLP and Text Mining

In this course you will be introduced to the essential techniques of natural language processing (NLP) and text mining with Python.

Topic: Data Science, Machine Learning, Text Mining, Using Python | Skill: Intermediate, Advanced | 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 two 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

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: 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 12, 2021, Nov 11, 2022

Course Calendar

You can get started with either of these courses:

Introduction to Python Programming
SQL – Introduction to Database Queries

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

Introduction to NLP and Text Mining	(4-week class)	Jan 15, 2021
Introduction to Python Programming	(4-week class)	Jan 15, 2021
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
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
Python for Analytics	(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

It was great to get a better sense of the Python language. The course gave a great overview of the data analysis and visualization tools.

Benjamin Anderson

Financial Analyst, Nalco Champion

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

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

$5,590

Initial Registration Fee

Pay for courses a la carte

Note: prices subject to change

More pricing details below.

I’ll purchase courses one at a time.

Pay In Advance

$5,000

Pay now and save!

All 10-courses

plus registration fee included.

More pricing details below.

I want to save today.

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

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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.

Course Fee & Information

The fee for the Programming for Data Science 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 $5,575. 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: $3,782 and estimated electives:$968) 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 Programming for Data Science Certificate with Python – 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.