Free Download Mastering Data Science From Analysis to Application
Published 4/2024
Created by Aditya Wadkar | Project Maker
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 47m ) | Size: 649 MB
Empowering Data Enthusiasts: From Exploration to Deployment with Python
What you'll learn:
Data Exploration and Analysis Proficiency
Data Cleaning and Preprocessing Skills
Model Building and Evaluation Techniques
Deployment and Application Development
Understanding Data Science Workflow
Effective Communication of Data Insights
Requirements:
A basic comprehension of data ideas, experience with Jupyter Notebook, basic Python programming ability, and a strong interest in data analysis and machine learning are prerequisites for this course.
Description:
Embark on a journey of transformation into the field of data science with comprehensive courses designed to provide you with the skills and knowledge you need to navigate the complexities of data analysis, machine learning, and model deployment. . This immersive experience delves into fundamental data science concepts and practical techniques using Python, the industry-leading language for data manipulation and analysis. Introduce the basic principles of data science from the beginning, understand its importance in today's data-driven world, and explore its diverse applications in different fields. Led by an experienced instructor, you'll learn how to harness the power of Python to load datasets, manipulate data with Pandas, and gain insights through exploratory data analysis. Through hands-on exercises and real-world examples, master the art of data visualization using Matplotlib and Seaborn and gain the ability to communicate complex insights clearly and accurately. Then, embark on a fascinating exploration of the legendary Titanic dataset and uncover its secrets through data cleaning, visualization, and feature engineering. Over the course of the course, you will delve into the intricacies of machine learning, use logistic regression to build predictive models, and evaluate their performance using industry standard metrics. But the journey doesn't end here. Step into the realm of model deployment and learn how to use Streamlit to build interactive user interfaces and host predictive models on your web server for seamless access. By the end of this course, you will be a competent data scientist with the skills to tackle real-world data challenges with confidence and accuracy. Whether you're an experienced professional looking to improve your skills or an aspiring data enthusiast looking to embark on a new journey, this course will help you discover the full potential of data science. and make a meaningful impact on weight gain in today's data-driven world. Join us and embark on a journey of data discovery, innovation, and endless possibilities.
Who this course is for:
Regardless of your experience level, this course is intended for aspiring data scientists, analysts, and professionals looking to improve their abilities in Python-based data analysis, machine learning, and model deployment.
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