Data Science Bootcamp 2025 : Build 365 Projects In 365 Days


Data Science Bootcamp 2025 : Build 365 Projects In 365 Days
Data Science Bootcamp 2025 : Build 365 Projects In 365 Days
Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Unlock Your Data Science Potential with Practical Skills and 365 Hands-On Projects with Python and R Programming

What you’ll learn

Introduction to Data Science

Foundational Knowledge Data Science

Foundational Knowledge Python & R Programming

Intermediate Data Analysis

Machine Learning Fundamentals

Data Engineering Fundamentals

Data Science Real Projects

Requirements

No programming experience needed. You will learn everything you need to know

Description

Overview

Section 1: Day 1 – Why Employees Leave: A Data Science Approach for HR Professionals

Lecture 1 Importing Data and Library Day 1

Lecture 2 Exploratory Data Analysis Day 1

Lecture 3 Data Processing Day 1

Lecture 4 Build and Run Day 1

Lecture 5 Key Learning Objectives

Section 2: Day 2 – Data Science Analysis Bank Marketing Campaign

Lecture 6 Defining the Business Challenge: Bank Marketing in Focus

Lecture 7 Setting Up the Workspace: Importing Libraries and Data

Lecture 8 Perform Data Visualization

Lecture 9 Understand the Theory and Intuition behind K-Mean Algorithm

Lecture 10 Obtain Optimal Number of Clusters K

Lecture 11 Apply K-Means Clustering to Perform Market Segmentation

Lecture 12 Understand the Intuition Behind Principal Component Analysis (PCA)

Lecture 13 Understand the Intuition Behind Autoencoders

Lecture 14 Build and Train Autoencoder

Lecture 15 Build and Run Autoencoder

Section 3: Day 3 – Sales Gworth Analysis with Data Science

Lecture 16 Understand the Problem Statement and Business Case

Lecture 17 Import Dataset

Lecture 18 Import Library

Lecture 19 Explore Sales Data

Lecture 20 Data Sales Analysis

Lecture 21 Data Sales Proccess

Lecture 22 Data Sales Validation

Lecture 23 Understand Tools Machine Learning

Lecture 24 Train Model

Lecture 25 Build Model

This course is designed for anyone eager to dive into data science, whether you’re a beginner or seasoned professional, with 100 hands-on projects to solidify your skills.

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