Hands-On Data Science Projects

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1. Glass Type Prediction using Streamlit

1. Project Description.html

2. Glass Type Prediction using Streamlit.mp4

04:01

3. Project File.html

4. Dataset.html

2. Car price prediction using streamlit

1. Project Description.html

2. Car price prediction using streamlit.mp4

03:51

3. Project File.html

4. Dataset.html

3. Retail DB Analysis

1. Project Description.html

2. Retail DB Analysis.mp4

04:52

3. Project File.html

4. Datasest.html

4. Vehicle Sales Analysis

1. Project Description.html

2. Vehicle Sales Analysis.mp4

07:03

3. Project File.html

4. Dataset.html

5. Social Media Analysis

1. Project Description.html

2. Social Media Analysis.mp4

05:48

3. Project File.html

4. Dataset.html

6. Music Streaming Application Analysis

1. Project Description.html

2. Music Streaming Application Analysis.mp4

05:22

3. Project File.html

7. Movies DB Analysis

1. Project Description.html

2. Movies DB Analysis.mp4

07:16

3. Project File.html

4. Dataset.html

8. Avocado Sales Analysis Dashboard

1. Project Description.html

2. Avocado Sales Analysis Dashboard.mp4

05:22

3. Project File.html

4. Dataset.html

9. HR Analytics Dashboard

1. Project Description.html

2. HR Analytics Dashboard.mp4

03:59

3. Project File.html

4. Dataset.html

10. Data Professional Survey

1. Project Description.html

2. Data Professional Survey.mp4

10:39

3. Project File.html

4. Dataset.html

11. Bike Store Analysis

1. Project Description.html

2. Bike Store Analysis.mp4

05:51

3. Project File.html

4. Dataset.html

12. Space Mission Dashboard

1. Project Description.html

2. Space Mission Dashboard.mp4

04:58

3. Project File.html

4. Dataset.html

13. Cinemalytics

1. Project Description.html

2. Cinemalytics.mp4

11:03

3. Project File.html

4. Dataset.html

14. Monthly Sales Analysis

1. Project Description.html

2. Monthly Sales Analysis.mp4

07:05

3. Project File.html

4. Dataset.html

15. Coffee Shop Sales Analysis

1. Project Description.html

2. Coffee Shop Sales Analysis.mp4

07:37

3. Project File.html

4. Dataset.html

16. Python Analysis on AirBnB

1. Project Description.html

2. Python Analysis on AirBnB.mp4

24:16

3. Project File.html

4. Dataset.html

17. Quality Analysis Dashboard

1. Project Description.html

2. Quality Analysis Dashboard.mp4

10:18

3. Project File.html

4. Dataset.html

18. Film Database Analysis and Categorization

1. Project Description.html

2. Film Database Analysis and Categorization.mp4

08:13

3. Project File.html

4. Dataset.html

Description

Hands-On Data Science Projects

What You'll Learn?

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.

Who is this for?

Aspiring Data Scientists

Data Analysts

Software Developers

Business Analysts

Students

Career Changers

Anyone Interested in Data Science Projects.

What You Need to Know?

Basic Understanding of Programming: Familiarity with any programming language, preferably Python.

Fundamental Knowledge of Databases: Basic understanding of database concepts and SQL.

Proficiency in Excel: Basic skills in using Excel for data manipulation and analysis.

More details

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, 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.
Tailored for students, aspiring data scientists, and professionals looking to enhance their data science skills, this course provides 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. Embark on your journey with us and unlock boundless opportunities in data science and technology.
Who this course is for:
Aspiring Data Scientists
Data Analysts
Software Developers
Business Analysts
Students
Career Changers
Anyone Interested in Data Science Projects.

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GreyCampus Edutech

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