Hands-on Data Science Projects Course
A comprehensive program designed to equip you with practical skills and experience in data science through a series of real-world projects.
Development ,Data Science,Machine Learning
Lectures -18
Resources -24
Duration -2 hours
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Course Description
Welcome to the "Hands-on Data Science Projects" course! This comprehensive program is designed to equip you with practical skills and experience in data science through a series of real-world projects. Throughout this course, you will work with a variety of powerful tools and technologies, including Jupyter Notebook, MySQL, Streamlit, MySQL Workbench, Power BI, and Excel. These tools will help you analyze and visualize data, build predictive models, and create interactive dashboards, giving you a robust and practical understanding of the data science workflow.
You will start with an introduction to data analysis techniques and progress through various projects, each designed to provide hands-on experience with different aspects of data science. By the end of this course, you will have a strong portfolio of data science projects, showcasing your ability to tackle real-world problems using a wide range of tools and techniques.
This course aims to provide you with practical experience in solving real-world problems using industry-standard tools. You will learn to collect, clean, and analyze data, build and evaluate predictive models, and create interactive visualizations and dashboards. By the end of this course, you will be well-prepared to apply your data science skills in professional settings, equipped with a comprehensive portfolio of projects demonstrating your expertise.
Goals
What will students learn in your course?
Gain hands-on experience in data analysis and modeling using Python within Jupyter Notebooks.
Learn to manage and query databases using MySQL and its graphical interface, MySQL Workbench.
Develop interactive web applications for data visualization and machine learning model deployment.
Create dynamic and interactive dashboards to visualize complex datasets.
Utilize Excel for data manipulation, analysis, and visualization.
What are the requirements or prerequisites for taking your course?
Familiarity with any programming language, preferably Python.
Basic understanding of database concepts and SQL.
Basic skills in using Excel for data manipulation and analysis.
Prerequisites
What are the requirements or prerequisites for taking your course?
Familiarity with any programming language, preferably Python.
Basic understanding of database concepts and SQL.
Basic skills in using Excel for data manipulation and analysis.

Curriculum
Check out the detailed breakdown of what’s inside the course
Module 1: Glass Type Prediction using Streamlit
1 Lectures
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Glass Type Prediction using Streamlit 04:01 04:01
Module 2:Car price prediction using streamlit
1 Lectures

Module 3:Retail DB Analysis
1 Lectures

Module 4 :Vehicle Sales Analysis
1 Lectures

Module 5:Social Media Analysis
1 Lectures

Module 6:Music Streaming Application Analysis
1 Lectures

Module 7: Movies DB Analysis
1 Lectures

Module 8: Avocado Sales Analysis Dashboard
1 Lectures

Modul 9: HR Analytics Dashboard
1 Lectures

Module 10: Data Professional Survey
1 Lectures

Module 11: Bike Store Analysis
1 Lectures

Module 12:Space Mission Dashboard
1 Lectures

Module 13: Cinemalytics
1 Lectures

Module 14: Monthly Sales Analysis
1 Lectures

Module 15: Coffee Shop Sales Analysis
1 Lectures

Module 16: Python Analysis on AirBnB
1 Lectures

Module 17 : Quality Analysis Dashboard
1 Lectures

Module 18: Film Database Analysis and Categorization
1 Lectures

Instructor Details

GreyCampus Inc.
About me
GreyCampus helps people power their careers through skills and certifications. We believe continuous upskilling and certifications is key to sustained success in your career. While older skills are fast becoming less relevant, need for newer in-demand skills is growing exponentially. We believe if you stay skilled, you will stay ahead.
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