English | Size: 8.77 GB
Genre: eLearning
Foundations of Artificial Intelligence
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.
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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