Data Science Bootcamp 2025 : Build 365 Projects In 365 Days

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

Unlock the full potential of data science with our comprehensive course, "Master Data Science: Hands-On with 100 Real-World Projects." Dive deep into the realm of data analysis, machine learning, and artificial intelligence as you embark on a journey through 365 immersive projects designed to sharpen your skills and expand your expertise.In this course, we prioritize practical learning, offering you hands-on experience with real-world datasets across various industries and applications. From predicting stock market trends to analyzing customer behavior, from natural language processing to image recognition, you'll tackle a diverse array of projects that mirror the challenges faced by data scientists in today's dynamic landscape.Led by industry experts, each project is meticulously crafted to provide you with invaluable insights and actionable techniques. Whether you're a beginner looking to build a strong foundation or an experienced data professional aiming to refine your abilities, our course caters to all skill levels, guiding you through each project step-by-step.Key Features:100 real-world projects covering a wide range of data science concepts and applications.Hands-on experience with popular tools and libraries such as Python, TensorFlow, and scikit-learn.Expert guidance and support to help you tackle complex challenges and deepen your understanding.Practical tips, tricks, and best practices from seasoned data science professionals.Access to a vibrant community of learners, fostering collaboration and knowledge sharing.By the end of this course, you'll have not only mastered essential data science techniques but also built a robust portfolio showcasing your expertise to potential employers or clients. Whether you aspire to advance your career in data science, launch your own projects, or simply explore the endless possibilities of data-driven insights, "Master Data Science: Hands-On with 100 Real-World Projects" equips you with the skills and confidence to succeed in today's data-driven world.Enroll now and take the first step towards becoming a proficient data scientist, ready to tackle any challenge that comes your way. Let's embark on this transformative journey together!

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.