Applied Data Science

Data has been called the new global currency, and its meteoric rise is transforming entire industries—and driving the demand for practitioners who can wield its power. From health care and finance to entertainment, cybersecurity and beyond, the need for data scientists continues to grow in tandem opportunities for career advancement within the field.

To help fill this talent gap and further the use of data science to solve real-world problems, Columbia Engineering Executive Education has partnered with EMERITUS to create the Applied Data Science course.

Our approach to this course is to teach the underlying concepts and statistics of Data Science.

Going beyond the theory, our approach invites participants into a conversation,where learning is facilitated by live subject matter experts and enriched by practitioners in the field of data science.We expect learners would be required to put in 6-8 hours per week.

Upon successful completion of the course, participants will receive a verified digital certificate from EMERITUS in collaboration with Columbia Engineering Executive Education.

Duration and Course Fee

  • Starts 21 Feb 2019
  • 3 Months
  • 6-8 hours per week
  • Course Fees USD 1200

Faculty

Vineet Goyal
Vineet Goyal

Assistant Professor
Industrial Engineering And Operations Research

Columbia Engineering

Costis Maglarasy
Costis Maglaras


David And Lyn Silfen Professor Of Business

Columbia Engineering

Hardeep Johar
Hardeep Johar


Senior Lecturer Of Industrial Engineering And Operations Research

Columbia Engineering

Course Highlights

  • Faculty Video Lectures
  • Peer Learning
    Moderated Discussion Boards
  • assignment icon
    Quizzes / Assignments
  • Real World Applications
    Application Projects
  • Q&A Sessions with Course Leaders
  • webinar
    Live Online Teaching

SYllabus

Tools & Data Management

Translating Procedures into Code

Introduction to Data Structures

Where (most) data is stored

Ubiquitous database formats/languages

Statistics & Exploratory Data Analysis

The Shape of Data

When you don’t have all the data

Answering questions about your data

Using Python’s NumPy for analysis

Using Python’s Pandas for data wrangling

Fundamentals of Machine Learning

Automatic Understanding of Text

Machine learning methods for prediction

Machine learning methods for representation

Undergraduate understanding of basic statistics is required for this course.

Application Projects

Data Wrangling using CNC Mill Tool Wear Data

  • Practice using Python’s data framework to process and manipulate data with the CNC Mill Tool Wear dataset.
  • Hone your data wrangling and munging skills using Python’s pandas and NumPy libraries with the CNC Mill Tool Wear dataset.

Hypothesis Testing using Cancer Atlas Data

  • Statistically test the impact of health factors in relation to cancer rates from around the globe.

Data Exploration using Lending Club Loan Data

  • Use Python’s NumPy library to explore and uncover insights in Lending Club’s loan data.
  • Using Python’s powerful Pandas library to wrangle and munch Lending Club’s loan data.

Natural Language Processing (NLP) implementation using Amazon product reviews

  • Implement Natural Language Processing (NLP) techniques to automate the understanding of product reviews from Amazon.

BENEFITS TO THE LEARNER

Intellectual Capital

Intellectual Capital

  • Global Education
  • Rigorous and experiential curriculum
  • World-renowned faculty
  • Globally Connected Classroom: Peer to Peer Learning Circles
  • Action Learning: Learning by Doing

Brand-Capital

Brand Capital

  • Certificate from EMERITUS in collaboration with Columbia
    Engineering Executive Education

Social-Capital

Social Capital

  • Build new networks through peer interaction
  • Benefit from diverse class profiles

Career-Capital

Career Capital

  • Professional Acceleration through our enriched leadership toolkit
  • Learn while you earn
  • Get noticed. Get ahead.

FAQs

WHO IS THIS COURSE DESIGNED FOR?

The Applied Data Science course is a rigorous 3-month online certificate course designed for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers.

The rise of data science is disrupting entire industries. Everyone from biologists and movie makers to car makers and restaurateurs has begun to realize that data science is transforming their profession. This has led to a surge in the demand for data scientists which is expected to continue over the next several years. The objective of this course is to provide professionals with a knowledge of Data Science concepts, including expertise in relevant tools/languages and an understanding of popular algorithms and their applications.

With the knowledge gained in this course, you’ll be able to introduce the techniques to organizations not yet utilizing Data Science. Business Analysts/Data Professionals looking to move into Data Science roles will particularly benefit from this course.

This certificate course will prepare you for a variety of job roles, such as Data Scientist, Data Science Engineer, Business Analyst – Data Science, Data Science Project Lead, Data & Analytics Manager and more.

This course is designed for professionals currently in or seeking to secure a position as a:

  • Data Analyst
  • Business Analyst
  • Statistician/Mathematician
  • Data Engineer
  • Big Data Engineer
  • Software Developer

Absolutely! Knowledge of Data Science has become a requisite across industries, and all businesses will eventually need to use these techniques to thrive. While your current role may not require Data Science knowledge, it is almost certain that Data Science skills will be in high demand in almost every industry in the future.

This course is designed for working professionals looking to gain skills in advanced concepts in Data Science. This course demands consistent work and a time commitment of six to eight hours per week during the 3-month journey.

This course is NOT intended to provide superficial Data Science concepts. Rather, the course delves deeper and is aimed at developing professionals who can advance their careers as practitioners in Data Science roles.

The Applied Data Science course is designed for professionals with some data analysis experience and little-to-no programming experience. Students will learn to analyze data using Python and SQL, to wrangle and clean data, to use applied statistics to test hypotheses and to create data visualizations. Learners will also be exposed to Text Mining techniques and Machine Learning models on Regression, Classification, Decision Trees and Clustering.

The Applied Data Science course is designed for professionals with some data analysis experience and little-to-no programming experience. Students will learn to analyze data using Python and SQL, to wrangle and clean data, to use applied statistics to test hypotheses and to create data visualizations. Learners will also be exposed to Text Mining techniques and Machine Learning models on Regression, Classification, Decision Trees and Clustering. All these will prepare the learner for careers in Data Science.

The Applied Machine Learning course prepares learners for machine learning careers. As both data scientist and machine learning jobs require fundamental machine learning knowledge, each of these two programs has few common modules; however, the curriculum diverges as we go deeper into job-specific tools, skills, and techniques.

The course is a combination of interactive lectures and individual and team assignments. It also includes live sessions with course leaders dedicated to guiding you through your learning journey.

The Applied Data Science certificate course is composed of 12 modules spanning across three months. The course has fixed start and end dates. To complete the course, students must successfully complete all the modules and the associated video lectures, assignments and application projects. The projects require learners to apply the Data Science concepts they have learned to datasets and derive inferences. In addition to this, participants would be exposed to discussions and live webinars where learning is facilitated by subject matter experts and enriched by practitioners in the field of Data Science.

The course is a blend of theory, tools, and case studies (datasets) that are easy to assimilate and implement. For instance, students work on application projects that require them to apply the Data Science concepts they’ve learned to datasets and derive inferences. These application projects are intentionally made to be challenging, and students are expected to spend substantial time and effort solving them; likely six to eight hours per week. At the end of the course, students will be able to apply Data Science concepts to solve many of the business problems they face in their workplace.

Yes, EMERITUS offers need-based scholarships for a limited number of participants. Please note: A complete and accurate application for the course is required to be considered for a scholarship. Once your application has been reviewed, you’ll be notified about any scholarships you may be eligible for.

Columbia Engineering Executive Education is collaborating with online education provider EMERITUS Institute of Management to offer a portfolio of high-impact online courses. These courses leverage Columbia’s thought leadership in management practice developed over years of research, teaching, and practice.

The course requires prior exposure to/an undergraduate-level understanding of basic statistics. Familiarity with Python or at least one other programming language, and an undergraduate-level understanding of Linear Algebra and Probability would be an added advantage.

ADMISSIONS

Yes, you must apply to enroll in the course by completing a short application form. This certificate course accepts all applicants regardless of experience and specific background.

No, there is no application fee for the course.

No, this certificate course accepts all applicants regardless of experience and specific educational background.

No, this certificate course accepts all applicants regardless of experience and specific educational background.

The course does not accrue any credits or education points toward any courses from Columbia University.

You can pay for the course using an International Debit or Credit card. Alternatively, you can also pay for the program using Bank/Telegraphic transfer mechanism. Please find below the Telegraphic transfer details (please quote the Invoice No.):

Account Name: Emeritus Institute of Management Pte Ltd
Bank Name: The Hongkong and Shanghai Banking Corporation Limited
Bank Address: 21 Collyer Quay, #07-01 HSBC Building, Singapore 049320
USD Account Number: 260-816558-178
Bank Code: 7232
Branch Code: 260
SWIFT Code: HSBCSGSG

Once you complete the application for the course, you will receive an invoice. Payment for the course is required to gain access. You will be given a receipt once the payment is received for your files and/or tax purposes.

LEARNING/TEACHING/GRADING/CERTIFICATE

Recommended System Requirements

  • Processors: 2.60 GHz
  • RAM: 8 GB of RAM
  • Disk space: 2 to 3 GB
  • Operating systems: Windows 10, MacOS and Linux
  • Python download link (Links to an external site)
  • Compatible tools: Any text editor, Command prompt

Minimum System Requirements

  • Processors: 1 GHz
  • RAM: 1 GB of RAM
  • Disk space: 1 GB
  • Operating systems: Windows 7 or later, MacOS and Linux
  • Python versions: 2.7.X, 3.6.X (Links to an external site)
  • Compatible tools: Any text editor, Command prompt

You will lose access to the content of the Certificate Course if you fail to graduate within the fixed duration of the course. Only students who successfully complete the course retain access to the course contents.

No. The start and end dates of this course are fixed, and you must complete all assignments by the end of the course. There is some opportunity to work at your own pace within this framework, but following our recommended timeline is the best way to ensure you’re able to keep pace with your peers and complete the course on time.

No. Due to the fixed-term nature of this certificate, and the need for maintaining a consistent and stable student body throughout, you do not have the option to pause and resume the course later.

Upon successful completion of the course, participants will be awarded a verified digital certificate by EMERITUS Institute of Management in collaboration with Columbia Engineering Executive Education.

You will receive a soft copy of the certificate post successful completion of the course.

Live teaching sessions are usually scheduled between 9 a.m. and 10 a.m. Eastern time. All live teaching sessions are recorded and shared with students within 24 hours. The recording links are also made available on the EMERITUS Learning Platform (Canvas).

It will require at least six to eight hours dedicated learning per week to optimally benefit from the program.

If students have technical questions or need to request an assignment extension, they can contact the Course Coordinator via a ticketing system integrated into the EMERITUS Learning Platform. Students can also contact Course Leaders via the EMERITUS Learning Platform Inbox to get clarification on any content-related questions.

All course materials can be accessed through the EMERITUS Learning Portal at https://student.emeritus.org. Once you have enrolled in the course and logged into the learning platform, instructions for the course and assignment submissions will be provided.  All assignments will be submitted online through the learning portal.

The course is rolled out in a specific structure and sequence to ensure the optimal user experience. There are many assignments interspersed at specific points in the course to facilitate the best learning experience. Moving ahead to view videos without completing these assignments would negatively affect the course’s prescribed learning experience.

You will have access to all the course materials, including the videos, for a period of 12 months from the day your course begins. 

Our content licensing agreements with our university partners and world-class faculty restrict us from allowing videos to be downloaded. This step is necessary to protect the integrity of the course, our university partners’ brands, and the personal brand of our faculty. 

Beyond internet access, everything you need will be provided via the course platform.

There are no exams, but there are assignments at the end of most modules to help you apply what you’ve learned. 

You need to complete 80 percent of the assignments to pass the course.

This course is 3 months long, with each week including some or all the following activities:

  • Video Lectures
  • Additional Reading
  • Case Studies
  • Assignments
  • Webinars
  • Discussions

You can access the course from a desktop, laptop, tablet and mobile devices with access to the internet. The EMERITUS Learning Platform is cloud-based and is synchronized across all devices. If you have an iPhone or an Android device, you can also download the Canvas App and access the course. When you download the application, you will be asked to enter a URL. Please enter: student.emeritus.org (links to an external site) followed by your login ID and password. 

Duration and Course Fee

  • Starts 21 Feb 2019
  • 3 Months
  • 6 – 8 hours per week
  • Course Fees USD 1200
Vineet Goyal
Vineet Goyal
Assistant Professor Industrial Engineering And Operations Research
Columbia Engineering
Costis Maglaras
Costis Maglaras
David And Lyn Silfen Professor Of Business
Columbia Engineering

 

Hardeep Johar
Hardeep Johar
Senior Lecturer Of Industrial Engineering And Operations Research
Columbia Engineering

Duration and Course Fee

  • Starts 21 Feb 2019
  • 3 Months
  • 6-8 hours per week
  • Course Fees USD 1200

Faculty

Vineet Goyal
Vineet Goyal

Assistant Professor
Industrial Engineering And Operations Research

Columbia Engineering

Costis Maglarasy
Costis Maglaras


David And Lyn Silfen Professor Of Business

Columbia Engineering

Hardeep Johar
Hardeep Johar


Senior Lecturer Of Industrial Engineering And Operations Research

Columbia Engineering

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