5 Courses Required
 
 

Official Description

This program is designed to equip professionals with essential data science knowledge and skills required to manage, manipulate, analyze and extract value from data. It links mathematical and computational concepts to practical real world, data-driven examples. Focus is on the most frequently used data science tools and languages, including Apache Spark, Hadoop, Tableau, Python, Scala and SQL.

The program aims to prepare professionals to work through a complete data science pipeline, whether for the simple purpose of data exploration and extracting knowledge, or to build machine learning models from the data for specific goals such as prediction or classification. Cross-functional teams work to translate their learnings into business insights to help guide business decisions. This program is available online and in person and contains a combination of live, synchronous and asynchronous activities.

This program is offered in English and must be completed within 2 years.

 

This program is offered in-person and online.

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Learning Outcomes

  • Demonstrate solid understanding of relevant statistical, mathematical concepts and computational tools
  • Apply essential data science tools to ingest, clean, process and analyze various large data sets using batch and streaming modes
  • Work through all the phases of a complete data science pipeline with structured and unstructured data
  • Test and evaluate different machine learning techniques, and learn how to select the proper one in order to solve a business problem
  • Formulate a business need or problem into a data science project and select the proper tools and algorithms needed
  • Interpret and effectively communicate data insights by using data visualization and storytelling techniques and translate them into business-specific knowledge
 

Program Toolkit 

  • Apache Hadoop
  • Apache Spark
  • Tableau
  • Github
  • Python
  • Scala
  • SQL

Once registered for courses, students get free access to DataCamp for 6 months.

 

Prerequisites

  • Strong quantitative background
  • Proficiency in Excel, Access, or other data analysis tools
  • Essential programming skills in Python are necessary in order to succeed in this program.*

* Students may take the following online self-assessment tests to establish their level of proficiency in Python: 

Students without any prior knowledge of Python should complete the following online course or similar:

 

Who Should Attend

  • Both established professionals and recent university graduates seeking to acquire essential technical data science and machine learning knowledge and skills or wishing to embark on a career in data science
  • Individuals planning to pursue INFORMS Certified Analytics Professional (CAP®) certification or other similar designations

Additional Details

Courses

Minimum

5 Course(s)

Required fields are indicated by .