Data Science Mastery: FrameWorks, Algorithms & Applications

Data Science Mastery: Frameworks, Algorithms & Applications
Published 2/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Master data science frameworks, machine learning algorithms and rea-world applications with practical case studies.

What you’ll learn

Master Data Science Frameworks & Workflows. Understand Industry related frameworks like CRISP DM. Learn how to structure Data Science projects efficiently.

Gain Deep Understanding of Machine Learning Paradigms – Differentiate between Supervised, Unsupervised and Semi-supervised learning, Identify right algorithms.

Apply Data Science concepts to Real-world problems. Learn to frame business problems as data science problems. Develop hands-on experience to solve problems.

Enhance Decision-Making with Data-Driven Insights. Interpret model outputs & evaluate performance metrics. Make actionable business recommendations.
Requirements

No prior data science experience required.

Basic understanding of mathematics & statistics.

Some exposure to programming (preferably Python).

No advanced coding skills required.

Curiosity & problem-solving mindset.

Description

Overview

Section 1: Introduction

Lecture 1 Introduction – Data Science Roadmap

Lecture 2 Frameworks and Processes for Data Science Projects

Lecture 3 Python For Data Science

Lecture 4 Implementation Of Lists In Python

Lecture 5 Implementation Of Dictionaries In Python

Beginner Python Developers Curious about Data Science,Aspiring Data Scientists & Analysts,Professionals Looking to Pivot into Data Science,Students & Recent Graduates,Business & Domain Experts Working with Data,Data Science Enthusiasts Seeking Practical Understanding