Course Overview

The course is all about covering concepts like statistical inference, regression models, machine learning, and the development of data products. In the capstone project of the course, students will be able to apply the real-world data. After the completion of the portfolio, learners can demonstrate their learning on the material.

The course is divided into five parts and is basically focused on allowing students to have mastery of the data science specialization. All the courses associated with it include hands-on, peer-graded assignments. In order to gain all the skills associated with the course, students must complete all the assignments, the hands-on course, and the capstone projects.

What you'll learn

• Github
• Machine Learning
• Data Visualization
• R Programming
• Regression Analysis

Requirements

• Basic knowledge of Data Science.
• A computer or laptop with internet connectivity.
• Learn about techniques of Statistics and Machine Learning in approximately 3 months.
• Flexible work schedule.

Advantagesof Career Resources with Data Science: Statistics and Machine Learning Specialization Course

Enroll Free

Enhanced Employability:

An outstanding Data Science: Statistics and Machine Learning Specialization program that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Skill Validation:

Robust validation of Data Science: Statistics and Machine Learning Specialization skills confirms that you can complete all related tasks.

Networking Opportunities:

Managing Data Science: Statistics and Machine Learning Specialization courses provide ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.