June Master Data Science with Generative AI
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2 modules
English
Lifetime access
Unlock the power of AI to generate realistic data and propel your data science skills to the next level.
Overview
This course covers advanced topics in data science and generative artificial intelligence, providing students with a deep understanding of how to use AI to generate realistic data. The course includes hands-on projects and real-world applications to enhance practical skills.
Key Highlights
Advanced Data Science Techniques
Generative AI Applications
Hands-on Projects
Real-world Case Studies
What you will learn
Master Advanced Data Science Techniques
Learn advanced data science methodologies and techniques for generating AI models.
Explore Generative AI Applications
Dive deep into the applications of generative AI and understand its impact on data science.
Hands-on Projects and Real-world Case Studies
Gain practical experience through hands-on projects and real-world case studies in data science and generative AI.
Modules
Introduction to Data Science
58 attachments
Induction Class - Day 1
Introduction to Data Science
Descriptive Statistics
Measures of central tendency and dispersion
Normal Distribution
Probability
Probability and discrete probability distributions
Probability distributions and Introduction to Tableau
Probability distributions Part 2
Probability distributions Part 3
Tableau dashboard and Analytics - Part 1
Tableau dashboard and Analytics - Part 2
Introduction to Python Programming - Variables and Operators
Loops,Statements and Functions
Functions and Intro to Python Revision
Numpy Basics Part 1
Numpy Basics Part 2
Series,Dataframes and Missing Value Treatment - Pandas
Merging and Joining group by operations and others - Pandas
Matplotib Concepts and Intro to Seaborn
Seaborn,Matrices,Grids and Conclusions
Statistics with Python - Part 1
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Ap 5
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About the creator
Learn with Eduinx
Learn with Eduinx
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