Data Science Foundation Program
Data Science Foundation Program
Let's face it, in today's business world, data is king. As a manager, it's essential that you have a basic understanding of analytics to make informed decisions and streamline your daily operations.
Welcome to the Data Science Foundation Program which covers all the fundamental ideas behind the analytics elements such as how to visualize your data, analyze it, and build statistical models. You'll learn how to identify patterns and trends in your data and use this information to make data-driven decisions.
Who should consider the Data Science Foundation Program?
The Data Science Foundation Program is perfect for anyone who wants to learn how to apply data science in their management decision-making but lacks extensive experience in data science. This includes non-technical managers, senior executives, and business managers from any industry or department. Additionally, domain experts, product managers, and scrum masters would benefit from following the program.
Program Benefits
- Gain a solid foundation in the various components of analytics
- Leverage data to gain or strengthen the competitive advantage.
- Increase the efficiency of your daily operations
- Make more informed business decisions
- Develop more effective strategies
- Gain the skills necessary to use OLAP tools effectively
- Learn practical data science skills that you can apply in your workplace
Program Outline
Module 1: Learning Data Analytics
Module 2: Data Analytics for Business professionals
Module 3: Artificial Intelligence Foundation: Machine Learning
Module 4: Learning Data Science: Tell Stories with Data
Module 5: Business Analytics Foundations
Module 6: Introduction to Tableau
Course Delivery Method
The course duration will be 07 weeks and delivered 100% online. Participants are expected to attend remotely to the live classroom sessions which will be done online.
Resource Persons
Infosys Consulting
Cloud/Data Lake,
Queensland University of
Technology (QUT), Australia
Dialog Enterprise
