Udemy – Python for Data Science and Machine Learning Bootcamp

Description

Become a Data Scientist with Python – Complete Data Science & Machine Learning Bootcamp

Requirements

• Basic programming experience

• Admin permissions to install/download required files

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Course Description

Start your journey to becoming a high-demand Data Scientist with this complete, beginner-friendly yet advanced Python Data Science Bootcamp. This course is designed to transform you into a job-ready data professional by teaching you how to analyze data, build impactful visualizations, and develop powerful machine learning models using Python.

Data Science continues to be one of the most in-demand and highest-paid careers worldwide. With the rapid growth of AI, analytics, and deep learning, skilled data scientists are increasingly sought after in every industry—from finance and healthcare to marketing and technology.

Whether you are:

• A beginner with basic programming knowledge

• A developer aiming to transition into Data Science

• A professional wanting to upgrade your technical skillset

…this course provides all the tools and knowledge you need.

With 100+ HD video lessons, hands-on coding notebooks, and step-by-step guidance, this program delivers the complete learning experience comparable to expensive offline bootcamps—at a fraction of the cost.

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What You Will Learn

Python Fundamentals for Data Science

• Python programming essentials

• Working with Jupyter Notebook

Data Analysis & Manipulation

• NumPy for numerical computing

• Pandas for data cleaning, manipulation & Excel file handling

• Solving real-world tasks using DataFrames

Data Visualization

• Matplotlib & Seaborn for static visualizations

• Plotly for interactive dashboards

• Creating charts, graphs, heatmaps & more

Databases & Automation

• Connecting Python with SQL databases

• Web scraping to collect real-time data

Machine Learning with Scikit-Learn

• Linear Regression

• K-Nearest Neighbors (KNN)

• K-Means Clustering

• Decision Trees

• Random Forests

• Support Vector Machines (SVM)

• Natural Language Processing (NLP)

• Neural Networks & Deep Learning basics

Advanced Topics

• End-to-end machine learning projects

• Real-world data workflows

• Model evaluation & optimization techniques

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Who This Course Is For

• Beginners with basic programming experience

• Developers and IT professionals transitioning into Data Science

• Students, job seekers, and tech enthusiasts

• Anyone interested in Python, AI, analytics, and machine learning

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.