Dialog Enterprise

Data Science Foundation Program

Fully Online
October 2022 Intake
7 Weeks (16 Hours) - SUNDAY 10.00 AM TO 12.00 PM

Data Science Foundation Program

The program aims to give non-technical managers or business managers a fundamental understanding of analytics. It will go over the fundamental ideas behind the analytics elements needed to more effectively and efficiently manage daily operations. This initiative was created in collaboration with Dialog Enterprises.

Who should consider following the program?

Non-technical managers, senior executives, or business managers from any industry or department working on a data science project who genuinely care about its success but lack much data science experience. Domain expert, Product manager, Scrum master.

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Program Benefits

  • Give a basic understanding of the analytics components.
  • Increase the efficiency of daily operations.
  • Allow the target audience to make more informed decisions, develop more effective.
  • Strategies, and streamline operations.
  • Basic understanding about components in analytics.
  • Hands on experience in OLAP tool.

Program Outline

Module 01: Learning Data Analytics

Module 02: Data Analytics for Business professionals

Module 03: Artificial Intelligence Foundation: Machine Learning

Module 04: Learning Data Science: Tell Stories with Data

Module 05: Business Analytics Foundations

Module 06: Introduction to Tableau

The Criteria For Qualification

Participants hoping to receive the Data Science Foundation Program qualification from APIDM are required to meet the following criteria:

Pass the assessment at the end of the program (65% or above)

Qualified students will receive a Credly batch

Attendance for all the classes is mandatory

100% conducted live with access to recordings

Resource Persons

Tanushree Halder
Principal Consultant,
Infosys Consulting
Gaya Premachandra
Senior Data Engineer -
Cloud/Data Lake,
Queensland University of
Technology (QUT), Australia
Eranda Adikari
Head of Data Insight,
Dialog Enterprise
Hiranthi Liyanawaduge
Founder, TetraK Analytics