Introduction to Data Science

We live in a data rich society. Data is everywhere and in quantities we have never experienced. It is critically important for policy leaders, analysts, and program managers to gain an understanding of how data science can be used to positively support the decision-making processes of the public service. A knowledge and skill base in data sciences is becoming an increasing desirable for individuals in all levels of government, non-profit, and business. Whatever the objective, a strong understanding of data science enables us to forecast emerging trends, identify potential future behaviour, discover patterns, inform policy, and generate meaning from the vast amount of data that streams in and through our work environments.

This course aims to provide participants with a strong understanding of the basic concepts of data science and how to apply them to their daily work. You will gain an understanding of how to adopt a data-oriented mindset and learn to leverage industry-standard tools such as Tableau, Power BI, Python, and SQL.

  • Topics
  • Audience
  • Instructor
  • What is data science and why is it important?

  • Defining data science, data engineering, big data and data analytics

  • Data sources

  • Data analysis and exploration

  • Communicating results

  • Data science software

  • Data mining

  • Organizational considerations

  • This course is suitable for anyone needing an introduction to data sciences. This course is appropriate for anyone who requires a baseline of understanding for how the data sciences are linked to their daily work. Appropriate for participants who are relatively new to the work world, as well as seasoned staff who wish to improve or refresh their data science skills.

Marwan Kashef, MMAI, is a data scientist, instructor, and mentor with over half a decade’s worth of experience in planning, building, and launching analytic & AI solutions.  He has functioned as a data leader in both the private and public sectors and has worked with large-cap companies to enable their analytic implementations. 

With a Master of Management in Artificial Intelligence from Queen’s University, Marwan has had the opportunity to command his understanding of industry best practices for applying data-driven initiatives effectively and efficiently in a team-based environment.  When not teaching at the University of Ottawa, he leads data science at Ottawa-based RVezy, the largest RV rental marketplace in North America.

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Course Category/Template: 

Knowledge Management

Body: 

We live in a data rich society. Data is everywhere and in quantities we have never experienced. It is critically important for policy leaders, analysts, and program managers to gain an understanding of how data science can be used to positively support the decision-making processes of the public service. A knowledge and skill base in data sciences is becoming an increasing desirable for individuals in all levels of government, non-profit, and business. Whatever the objective, a strong understanding of data science enables us to forecast emerging trends, identify potential future behaviour, discover patterns, inform policy, and generate meaning from the vast amount of data that streams in and through our work environments.

This course aims to provide participants with a strong understanding of the basic concepts of data science and how to apply them to their daily work. You will gain an understanding of how to adopt a data-oriented mindset and learn to leverage industry-standard tools such as Tableau, Power BI, Python, and SQL.

In-House Option: 

Title: 

Introduction to Data Science

Course Code: 

816

Social Widget: 

Email Reminder: 

Email Reminder Will Be Sent

Email Reminder Date: 

10days before the course start date

Speaker Bio: 

Marwan Kashef, MMAI, is a data scientist, instructor, and mentor with over half a decade’s worth of experience in planning, building, and launching analytic & AI solutions.  He has functioned as a data leader in both the private and public sectors and has worked with large-cap companies to enable their analytic implementations. 

With a Master of Management in Artificial Intelligence from Queen’s University, Marwan has had the opportunity to command his understanding of industry best practices for applying data-driven initiatives effectively and efficiently in a team-based environment.  When not teaching at the University of Ottawa, he leads data science at Ottawa-based RVezy, the largest RV rental marketplace in North America.

Audience: 

This course is suitable for anyone needing an introduction to data sciences. This course is appropriate for anyone who requires a baseline of understanding for how the data sciences are linked to their daily work. Appropriate for participants who are relatively new to the work world, as well as seasoned staff who wish to improve or refresh their data science skills.

Online Distance Learning 

Certain sessions of this course are now offered online via live video conferencing. Online session are indicated in parenthesis in the box below.

Register today by selecting an online session.

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ONLINE COURSES & EVENTS

Select a session

Introduction to Data Science (Online session)
May 10, 11, 12, 13, 2021
9:00 - 12:00
$995.00
Introduction to Data Science (Online session)
June 7, 8, 9, 10, 2021
9:00 - 12:00
$995.00
Introduction to Data Science (Online session)
October 4, 5, 6, 7, 2021
9:00 - 12:00
$995.00
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