Data Science Zero To Hero - Printable Version

+- Softwarez.Info - Software's World! (https://softwarez.info)
+-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone)
+--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials)
+--- Thread: Data Science Zero To Hero (/Thread-Data-Science-Zero-To-Hero)

Data Science Zero To Hero - AD-TEAM - 04-20-2025

[Image: 8e00af0df02ae731dcdb2762ce12fffa.jpg]

Data Science Zero To Hero
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.53 GB | Duration: 9h 46m

Data Science Zero to Hero: The Complete Bootcamp

[b]What you'll learn[/b]

Develop Proficiency in Python for Data Analysis

Apply Statistical Concepts and Techniques for Data Interpretation

Build and Evaluate Machine Learning Models

Deploy Machine Learning Models and Prepare for Data Science Careers

[b]Requirements[/b]

No prior experience required just a computer with internet access and willingness to Learn

[b]Description[/b]

Are you ready to embark on a transformative journey into the world of Data Science? 'Data Science Zero to Hero: The Complete Bootcamp' is your all-in-one guide to mastering the core concepts and practical skills needed to become a successful Data Scientist. This course takes you from the very basics to advanced techniques, ensuring you gain a solid foundation and hands-on experience.We'll begin with an introduction to Data Science, exploring 'The Data Story' and understanding why 'Data is the new oil.' You'll discover the role of a Data Scientist, and the essential skillsets required. Then, we dive into Python programming, the cornerstone of Data Science. You'll learn everything from Python basics to data manipulation and analysis.Next, we'll delve into Statistics, a crucial component of Data Science. You'll grasp key concepts like percentiles, boxplots, normal distribution, hypothesis testing, and linear equations. We'll then move on to SQL, mastering data management and querying.The heart of the course lies in Machine Learning, where you'll learn and implement algorithms like Linear Regression, Logistic Regression, Decision Trees, Ensemble Models, and Clustering. You'll work on real-world projects to build and deploy these models. Finally, we'll cover Model Deployment and Interview Preparation, equipping you with the tools to launch your Data Science career.This course is designed for anyone eager to learn Data Science, regardless of their prior experience. Whether you're a beginner or looking to enhance your skills, this bootcamp will guide you step-by-step. Enroll today and start your journey to becoming a Data Science hero!

Overview

Section 1: Introduction

Lecture 1 The Data Story

Lecture 2 Data is The New Oil

Lecture 3 Who is a Data Scientist

Lecture 4 Skillsets for Data Scientist

Lecture 5 Data Science Vs AI vs ML vs DL

Section 2: Python for Data Science

Lecture 6 Python Installation and Set Up

Lecture 7 Python Operators

Lecture 8 Python Datatype - Numeric

Lecture 9 Python Datatype - String

Lecture 10 Python Datatype - List

Lecture 11 Python Datatype - Tuple

Lecture 12 Python Datatype - Dictionary

Lecture 13 Python Control - If

Lecture 14 Python Loop- For

Lecture 15 Python Loop - While

Lecture 16 Python Functions

Lecture 17 Python Packages

Lecture 18 Python Command Line

Section 3: Statistics for Data Science

Lecture 19 Introduction to Statistics

Lecture 20 Percentiles and Boxplots

Lecture 21 Python Basic Data Analysis

Lecture 22 Normal Distribution

Lecture 23 Hypothesis Testing

Lecture 24 Probability and Odds

Lecture 25 Linear Equation and Correlation

Section 4: SQL for Data Science

Lecture 26 Introduction to SQL

Lecture 27 SQL Joins

Section 5: Machine Learning

Lecture 28 Introduction to Machine Learning

Lecture 29 Linear Regression

Lecture 30 Steps for Data Science Project

Lecture 31 Project 1 - Linear Regression Implementation In python

Lecture 32 Logistic Regression

Lecture 33 Project 2 - Logistic Regression Implementation In Python

Lecture 34 Decision Trees

Lecture 35 Project 3 - Decision Tree Implementation In Python

Lecture 36 Ensemble Learning

Lecture 37 Project 4 - Ensemble Learning Implementation In Python

Lecture 38 Clustering

Lecture 39 Project 5 - Clustering Implementation In Python

Section 6: Machine Learning Model Deployment

Lecture 40 Model Deployment Basics

Lecture 41 Model Deployment In Python

Section 7: How to Prepare and Attend Job Interview

Lecture 42 How to Prepare Resume

Lecture 43 How to Crack Job Interview

Absolute Beginners,Career Switchers,Students and Recent Graduates,Aspiring Data Analysts and Scientists,Entrepreneurs and Business Professionals,Anyone Curious About Data

[Image: DaB2v3hl_o.jpg]

AusFile

[To see links please register or login]

RapidGator

[To see links please register or login]