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Python for Analytics Mastery Series

Home » Mastery Series » Skill Level » Intermediate » Python for Analytics Mastery Series

Python for Analytics Mastery Series

In this Mastery Series you’ll learn Python programming from the ground up, and you’ll explore foundational concepts in predictive analytics using Python.
$1,318| Enroll Now
  • Overview
  • Learning Outcomes
  • Prerequisites
  • Courses
  • Student Stories
  • Tuition
  • FAQs
  • Contact Us
  • Additional Info
Menu
  • Overview
  • Learning Outcomes
  • Prerequisites
  • Courses
  • Student Stories
  • Tuition
  • FAQs
  • Contact Us
  • Additional Info

Overview

Python is becoming the global language of choice for data scientists. In this 3-course Mastery Series, you'll learn Python programming from the ground up, and you'll explore foundational concepts in predictive analytics, with a focus on Python. Most importantly, the program's hands-on training will prepare you to apply these skills immediately at work or in your learning practicum.

This Mastery Series can be stacked towards completion of the Programming in Data Science Certificate program.

Who This Mastery Serves

Enroll in our Python Mastery Series if you are a professional – or student – who wants to learn Python programming for data analytics. A Record of Mastery will will give you the edge you need to enhance your career or the skills you need to find a new job. Related job titles include:

  • Data Analyst
  • Business Analyst
  • Technical Analyst
  • Researcher
  • Data Scientists
  • Risk Manager
  • Systems Engineer
  • IT Programmers/Developers

Learning Outcomes

When you earn your Record of Mastery in Python Programming, you will have an in-depth understanding of how to use Python for data mining and predictive modeling. You will also be able to:

  • Visualize and explore data to better understand relationships among variables
  • Organize the predictive modeling task and data flow
  • Develop machine learning models with the KNN, Naive Bayes and CART algorithms using Python’s scikit-learn
  • Assess the performance of these models with holdout data
  • Apply predictive models to generate predictions for new data
  • Construct conditional statements and loops
  • Use Pandas for data analysis
  • Group, aggregate, merge and join data sets and variables
  • Handle time series and data frames
  • Use matplotlib for visualization
  • Work with strings, lists and dictionaries (in addition to variables)
  • Use Jupyter notebooks and standard script editors
  • Perform simple arithmetic and statistical operations
  • Work with variables, keywords, lists, arrays, and dictionaries
  • Use conda to install modules
  • Write while loops and code for error trapping, and input data

Prerequisites

There are no prerequisites required for this course but some familiarity with statistics would be helpful. You might consider enrolling in the following course if you need a refresher or some basic knowledge in statistics.

Introductory Statistics for College Credit

This course will teach you the equivalent of a semester course in introductory statistics.
Topic: Statistics, Introductory Statistics | Skill: Introductory | Credit Options: ACE, CEU
Class Start Dates: Feb 5, 2021, Mar 5, 2021, Apr 2, 2021, May 7, 2021, Jun 4, 2021, Jul 2, 2021, Aug 6, 2021, Sep 3, 2021, Jan 7, 2022, Feb 4, 2022, Mar 4, 2022, Apr 1, 2022, May 6, 2022

Courses

The Python Programming Mastery Series consists of three 4-week courses offered completely online at Statistics.com. This series certificate program can be completed in less than six months depending on your personal schedule and course availability.

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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: Feb 19, 2021, May 14, 2021, Sep 10, 2021, Jan 14, 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, Jul 9, 2021, Nov 12, 2021, Mar 11, 2022, Jul 8, 2022, Nov 11, 2022
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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: May 14, 2021, Sep 17, 2021

What Our Students Say​

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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.

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Benjamin Anderson
Financial Analyst, Nalco Champion
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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

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Milan Hejtmanek
Seoul National University

Tuition and Fees

Plus a $65 Recording Fee.

 

1,318
Enroll With Pay-As-You-Go

Frequently Asked Questions

Do your courses have for-credit options?

Our courses have several for-credit options:

  • Continuing education units (CEU)
  • College credit through The American Council on Education (ACE CREDIT)
  • Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®)

Please see our knowledge center for more information.

Is there a fee for a Record of Mastery Specialization?

Successfully complete the courses listed for Mastery Series and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

To receive your Record of Mastery Series Specialization, there is a recording fee of $65.

Please see our knowledge center for more information.

How does the Mastery Series program work?

The Institute offers specializations in topics in several areas of focus. Successfully complete three of the courses listed for any specialization and you’ll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.

Please see our knowledge center for more information.

What types of courses are offered in Mastery Series?

Courses in the Mastery Series are standard Statistics.com courses – small classes, regular interaction with your instructor throughout the course, rapid expert feedback on your homework and projects.

Please see our knowledge center for more information.

What if I have already mastered a topic from prior experience?

If you have mastered a topic from prior experience, let us know and we’ll swap out that course for another.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

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Additional Information

Organization of Series

The Mastery Program consists of 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.

Courses takes place online at The Institute. During each course week, you participate at times of your own choosing. There are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions are led by the instructor. You can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive material relevant to the course, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirements

There are 3 courses in this Mastery Series.

Each course is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing. You may build your own course calendar to meet your individual requirements. The Mastery Series program may be completed in less than six months to one year, depending on your personal schedule and course availability.

Course Fee & Information

Record of Mastery Documentation Fee
Upon Mastery completion, there is a $65 recording fee to receive your Record of Mastery documentation. 

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary (modest fee applies).

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Group Rates
Contact us to get information on group rates.

Options for Credit and Recognition

Our Mastery Series credits options vary by program and courses offered. 

No Credit
You may take this program without pursuing credit or a record of completion.

Mastery Program Credit
If you are enrolled in a Mastery Program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

Certificate Program Credit
If you intend to enroll in a Certificate Program following completion of your Mastery Program, your course work may be assessed for a grade. In addition, your courses will be assessed for transferability to the Certificate Program course requirements. In most cases, if your Mastery Program courses are also included in the Certificate Program as either required courses or elective courses, your completed Mastery Program course work will be transferred to the Certificate Program.

CEU’s and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

CAP-INFORMS
Courses in your Mastery Program that have been recognized by the Institute for Operations Research and the Management Sciences (INFORMS) as helpful preparation for the Certified Analytics Professional (CAP®) exam will be will be issued a “Record of Course Completion” by The Institute upon your request, after successfully completing the course.

ACE CREDIT / College Credit
Courses in your Mastery Program that have been endorsed by the American Council on Education (ACE) will be issued a “Record of Course Completion” by The Institute upon your request, after you successfully complete the course. Please note that the decision to accept specific credit recommendations is up to the academic institution accepting the credit.

Digital Badge

For courses in your Mastery Program that have been endorsed by the American Council on Education (ACE), a digital badge will be made available upon successful completion of the course.

Miscellaneous

Visit our knowledge base to learn more about our Mastery Series.

About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

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