Data Science For Business (2024)

[OneDDL]

Free Download Data Science For Business (2024)
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.48 GB | Duration: 2h 30m
Unlock the power of Data Science to optimize business processes and gain insights into customer behavior.

What you'll learn
Understand the role of data science in business decision-making.
Explore essential data science tools and techniques.
Learn about the data science lifecycle, including the latest in Generative AI and LLMs.
Learn machine learning techniques for revenue prediction and customer lifetime value analysis.
Implement demand forecasting and dynamic pricing strategies.
Gain insights into customer behavior through market basket analysis and customer segmentation.
Perform time series analysis to forecast market trends.
Develop conversational chat solutions for customer engagement using Generative AI and LLMs.
Requirements
Basic understanding of business concepts.
Familiarity with Python is helpful but not required.
Prior data science is helpful.
Description
In today's data-driven world, the ability to leverage data science for business success is more crucial than ever. This comprehensive course, Data Science for Business: Leveraging AI & ML for Decision Making, is designed to empower business professionals, entrepreneurs, and data enthusiasts with the tools and knowledge needed to harness the power of data.Throughout the course, you'll explore how data science can transform business decision-making, optimize processes, and maximize revenue. From understanding the fundamentals of data science and its role in business to diving into advanced machine learning techniques for revenue prediction and customer segmentation, this course covers it all.We'll also delve into the latest advancements in Generative AI and Large Language Models (LLMs), showing you how to apply these cutting-edge technologies to enhance customer engagement and forecast market trends. With practical demos and hands-on exercises, you'll gain the confidence to apply these skills directly in your work.Beyond the technical skills, this course also emphasizes the strategic application of data science within the broader business context. You'll learn how to align data-driven insights with business goals, making informed decisions that drive growth and competitive advantage.Whether you're a seasoned professional or just starting out, this course will equip you with the insights and tools needed to stay ahead in a competitive business environment. Join us and take the first step toward becoming a data-driven business leader!
Overview
Section 1: Data Science For Business
Lecture 1 Introduction
Lecture 2 Understand the role of Data Science in Business Decision Making
Lecture 3 Data Science Tools & Techniques
Lecture 4 Data Science life cycle - GenAI & LLMs
Section 2: Optimizing Business Processes & Maximizing Revenue
Lecture 5 Introduction
Lecture 6 Machine Learning for Revenue Prediction
Lecture 7 Demo
Lecture 8 Demand Forecasting & Dynamic Pricing
Lecture 9 Customer Lifetime Value Analysis
Section 3: Gain Insights into Customer Behavior & Market Trends
Lecture 10 Introduction
Lecture 11 Machine Learning for Market Basket Analysis
Lecture 12 Python Demo
Lecture 13 Machine Learning for Customer Segmentation
Lecture 14 Time Series Analysis for Trend Forecasting
Section 4: Conversational Chat Solution for Customer Engagement
Lecture 15 Introduction
Lecture 16 Understanding Generative AI - LLMs
Lecture 17 Practical Application
Business professionals looking to integrate data science into their decision-making processes.,Entrepreneurs and startup founders aiming to optimize operations and maximize revenue.,Data analysts and aspiring data scientists who want to apply their skills in a business context.,Anyone interested in understanding how AI and machine learning can drive business success.
Homepage

[To see links please register or login]

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

[To see links please register or login]

No Password - Links are Interchangeable