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Mini Masters in Data Science for Machine Learning

Mini Masters in Data Science for Machine Learning

Published 4/2024
Created by Ganeshraj Shetty
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 91 Lectures ( 23h 38m ) | Size: 13.5 GB

Unlocking Data's Potential: A Comprehensive Guide to Data Mastery

What you'll learn:
Complete Data Analytical Skills required for a Data Analyst.
Different ways to read and manipulate data using Python modules
Data Visualization using different Python Modules.
Complete foundations Skills required to make a smooth transition into Data Science

Requirements:
There are no prerequisites for taking up this course.

Description:
The "Mini Masters in Data Science for Machine Learning" is a comprehensive course designed to equip participants with the fundamental skills and knowledge required to excel in the field of data science and machine learning. Throughout the program, students delve into key concepts, techniques, and tools essential for leveraging data to extract meaningful insights and perform analysis using attractive visualization techniques.The course begins with an introduction to the foundations of data science, covering topics such as data manipulation, cleaning, and visualization using popular tools like Python and libraries such as NumPy, Pandas, matplotlib, Plotly, Seaborn, etc. Special emphasis is placed on the practical application of each concept using real-life examples to analyze datasets, identify patterns, and develop analytical skills.By the end of the program, students will have developed a strong foundation in data science for machine learning, enabling them to confidently tackle complex data challenges, make data-driven decisions, and contribute effectively to various domains. Whether aspiring data scientists or professionals looking to upskill, this course equips individuals with the necessary tools and expertise to thrive in today's data-driven world.The Course has been curated neatly and every topic has been delivered in such a way that student make the most out of the time spent on learning the course.

Who this course is for:
For Students who wish to work as a Data Analyst.
For Candidate who wish to make a transition into Data Science.
For Candidates who wish to add Python for Data Science as a Skill.
For Programmers who wish to transition into Data Science.

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Mini Masters in Data Science for Machine Learning

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