Machine Learning & Data Science Bootcamp

Course Description

Unlock the power of data with our comprehensive Machine Learning & Data Science Bootcamp. This course is designed to introduce absolute beginners to the fundamentals of data science and machine learning, providing the essential knowledge and skills to start a journey into these rapidly evolving fields. Throughout the bootcamp, you’ll explore key concepts in data science, including data wrangling, statistical analysis, and visualization techniques, while gaining hands-on experience with popular tools and libraries like Python, Pandas, and Matplotlib. The course Machine Learning & Data Science Bootcamp also dives into the basics of machine learning, covering algorithms such as linear regression, decision trees, and clustering, with a focus on practical applications and real-world examples. By the end of the course, you’ll be able to handle data confidently, build basic machine learning models, and apply data-driven insights to solve problems. Whether you’re aiming to pursue a career in data science, improve your analytical skills, or simply understand how machine learning works, this bootcamp offers a solid foundation in a supportive, beginner-friendly environment. No prior programming or data science experience is required—just a willingness to learn!

Machine Learning & Data Science Bootcamp Course Objectives:

Gain a foundational understanding of machine learning and data science concepts.
Learn to set up a suitable environment for data science projects.
Acquire practical skills in data manipulation, numerical computing, and data visualization.
Develop proficiency in using key Python libraries (Pandas, Numpy, Matplotlib, Scikit-learn).
Implement and evaluate basic supervised learning models.
Apply knowledge through a hands-on capstone project.

Who is the Machine Learning & Data Science Bootcamp Course For?

Beginners with little or no prior experience in machine learning or data science.
Students or professionals looking to gain foundational knowledge in machine learning and data science.
Individuals interested in exploring data analysis, data visualization, and building simple machine learning models.
Anyone aiming to transition into a career in data science, machine learning, or related fields.

Requirements to Do the Course Machine Learning & Data Science Bootcamp:

Basic Computer Skills: Comfort with using a computer, installing software, and navigating file systems.
Basic Programming Knowledge: Some familiarity with programming (preferably Python) is helpful, but not mandatory, as the course will cover the basics.
Mathematical Foundations: Basic understanding of high school-level mathematics, particularly algebra, is recommended (e.g., understanding functions, variables, and basic statistics).

Course Outcomes:

Successfully set up and navigate a data science development environment.
Manipulate and analyze data using Pandas and Numpy.
Create informative visualizations with Matplotlib.
Build and evaluate machine learning models using Scikit-learn.
Complete a capstone project demonstrating practical application of the skills learned.

What More to Expect?

10 complete lessons within 3 hours of time
Quizzes to assess learning from the course
Option to discuss problems on the lessons through the course forum
Certificate of achievement issued with the affiliation of HRDI and Skill Jobs

GoEdu Learner’s Manual

Course Forum