Modern Data Scientist

What the industry needs?
4.38 (33 reviews)
Udemy
platform
English
language
Data Science
category
Modern Data Scientist
3 443
students
1.5 hours
content
Jul 2021
last update
FREE
regular price

Why take this course?

🌟 Course Title: Modern Data Scientist: What the Industry Needs? 🌟 TDM+ Instructor: Prof. Poornachandra Sarang, Ph.D.**


Course Introduction 🚀

In an era where AI and machine learning are no longer just buzzwords but integral parts of businesses across industries, the role of a Data Scientist has evolved significantly. Modern Data Scientist is a comprehensive course designed to equip you with the skills and knowledge required to excel in this dynamic field.

Why This Course? 🤔

  • Industry Alignment: Tailored to meet the demands of the current job market, this course aligns with what employers are seeking.
  • Python Mastery: Dive deep into Python, the language at the heart of modern machine learning applications.
  • Real-World Applications: Explore case studies and examples that span across various sectors, from finance to healthcare.

Course Highlights 📈

  • Historical Evolution: Trace the journey of data science from its statistical roots to the latest advancements in AI.
  • Machine Learning Engineering: Understand the transition from traditional Data Science to Machine Learning Engineering, with a focus on Artificial Neural Networks (ANN).
  • New Data Types: Learn to handle and leverage non-numeric data types such as images and text for model development.
  • Challenges & Solutions: Address the challenges of processing large datasets, including those of peta byte sizes, and learn how to overcome them.
  • Resource Availability: Grasp the current landscape of computational resources and their limitations in modern data science.

Course Structure 📚

Lecture 1: The Traditional vs. Modern Data Scientist

  • Defining the role of a traditional data scientist.
  • Introduction to the new era of machine learning engineers.
  • Understanding the expectations and responsibilities of a modern data scientist.

Lecture 2: Beyond the Basics - Industry Expectations

  • Exploring what the industry is looking for in a Modern Data Scientist.
  • Examining exceptions and specializations within the field.
  • Preparing for the future of AI and its applications in data science.

What You Will Learn 🎓

  • The foundational skills required to become a modern data scientist.
  • Advanced techniques in machine learning with Python.
  • How to approach problems involving complex datasets, including images and text.
  • The latest trends and technologies driving the field of data science.

Join Us! 🌍

This free online course is your opportunity to embark on a journey into the heart of modern data science. Whether you're at the beginning of your career or looking to upskill, this course will provide you with the insights and tools necessary to thrive in the fast-paced world of AI and machine learning.

Enroll now and take the first step towards becoming an indispensable asset to any organization in the field of data science! 💻📊

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Related Topics

4192644
udemy ID
19/07/2021
course created date
22/07/2021
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