WEBINARS

Your Gateway to Transformation

What you should know about us

Speaker: Chhotoo Ghadge

Introduction

Statistics: Essential for drawing meaningful insights from data, providing the analytical foundation.
Python and R: Versatile programming languages crucial for data manipulation, analysis, and exploration.
Machine Learning: Utilizes algorithms for predictive modelling, a key component in extracting valuable insights.

Key Learning Objectives

Participants will gain a fundamental understanding of the significance of Statistics, Python, R, and Machine Learning in the Data Science landscape.
Recognize these skills as essential components forming the core toolkit for successful data scientists.
Emphasize the interconnectedness of these elements in solving real-world analytical challenges.

Target Audience

This session is ideal for anyone aspiring to kickstart a career in data science.
Specifically tailored for absolute beginners with little or no prior knowledge of Data Science and Data Analytics.