• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

This course equips you with the skills to transform complex data into actionable insights while ensuring data integrity and privacy. Dive into Generative AI, Machine Learning, and Predictive Analytics and learn to solve real-world problems like employee attrition with AI. Develop skills for AI-driven data science roles with hands-on learning.

Audience profile
  • Data Analysts & Scientists
  • Business Intelligence Professionals
  • IT Specialists & System Integrators
  • Data Engineers
  • Students & New Graduates

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Course details

Course Introduction

Module 1: Foundations of Data Science

Module 2: Foundations of Statistics

Module 3: Data Sources and Types

Module 4: Programming Skills for Data Science

Module 5: Data Wrangling and Preprocessing

Module 6: Exploratory Data Analysis (EDA)

Module 7: Generative AI Tools for Deriving Insights

Module 8: Machine Learning

Module 9: Advance Machine Learning

Module 10: Data-Driven Decision-Making

Module 11: Data Storytelling

Module 12: Capstone Project - Employee Attrition Prediction

Optional Module: AI Agents for Data Analysis

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Prerequisites

  • Basic knowledge of computer science and statistics (beneficial but not mandatory).
  • Keen interest in data analysis.
  • Willingness to learn programming languages such as Python and R.

Our Technology Partners

Spectrum Networks is the Authorised Learning Partner for some of the leaders in IT technology for Digital Transformation