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Hands-on Data Science Projects Course

person icon GreyCampus Inc.

4.7

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.

updated on icon Updated on Jun, 2025

language icon Language - English

person icon GreyCampus Inc.

category icon Development ,Data Science,Machine Learning

Lectures -18

Resources -24

Duration -2 hours

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4.7

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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.

Hands-on Data Science Projects Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Module 1: Glass Type Prediction using Streamlit

1 Lectures
  • play icon Glass Type Prediction using Streamlit 04:01 04:01

Module 2:Car price prediction using streamlit

1 Lectures
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Module 3:Retail DB Analysis

1 Lectures
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Module 4 :Vehicle Sales Analysis

1 Lectures
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Module 5:Social Media Analysis

1 Lectures
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Module 6:Music Streaming Application Analysis

1 Lectures
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Module 7: Movies DB Analysis

1 Lectures
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Module 8: Avocado Sales Analysis Dashboard

1 Lectures
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Modul 9: HR Analytics Dashboard

1 Lectures
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Module 10: Data Professional Survey

1 Lectures
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Module 11: Bike Store Analysis

1 Lectures
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Module 12:Space Mission Dashboard

1 Lectures
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Module 13: Cinemalytics

1 Lectures
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Module 14: Monthly Sales Analysis

1 Lectures
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Module 15: Coffee Shop Sales Analysis

1 Lectures
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Module 16: Python Analysis on AirBnB

1 Lectures
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Module 17 : Quality Analysis Dashboard

1 Lectures
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Module 18: Film Database Analysis and Categorization

1 Lectures
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Instructor Details

GreyCampus Inc.

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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