This 3-week boot camp is designed to provide participants with a comprehensive introduction to data science. Throughout the program, participants will learn essential data science skills and techniques that are necessary to work with data, extract insights, and make data-driven decisions.
Week 1 will cover the basics of data science, including an overview of what data science is and how it is used to extract insights from data. Participants will also learn techniques for gathering and preparing data for analysis, including data cleaning, data wrangling, and data preprocessing. The week will conclude with an introduction to exploratory data analysis and how to use statistical techniques to explore data.
Week 2 will focus on machine learning, which is a key area of data science. Participants will learn about different types of machine learning algorithms, including supervised and unsupervised learning. They will also learn how to use popular machine-learning tools and libraries like Scikit-Learn and TensorFlow.
Week 3 will cover advanced topics in data science, including data visualization, deep learning, and natural language processing. Participants will also have the opportunity to work on a real-world data science project to apply the skills they have learned throughout the boot camp.
By the end of the boot camp, participants will have a solid foundation in data science and will be equipped with the skills and knowledge necessary to succeed in this growing field.
Machine Learning Engineer
Google Certified Data Analytics specialist and DataScience team lead for the GDSC (Babcock University chapter) skilled in most DataScience steps such as data pre-processing, application of statistical methods (Training models, hyper-parameter tuning, and more), data visualization, Natural language processing, and results communication. I’m also quite experienced in backend web development with python (Django and Flask) and front end with HTML & CSS to facilitate model integration and deployment.
As a passionate and motivated professional, I’m constantly striving to improve my techniques, expand my skillset and find new opportunities to grow while publishing DataScience/Software engineering articles to share my knowledge of helpful techniques and technologies I work with.
Publicity Lead 2