Course Overview

The course is divided into 10 modules and covers the tools and concepts that will be needed throughout the entire data science study. This starts from asking the right kind of question to making references and publishing results. In the final project which will be the capstone, one can apply the skills learned by building the data which will be used in real-world scenarios. On completion, the students will be able to demonstrate mastery of the skills and the course. With the completion of the course, students will be able to write reproducible data and create visualization to demonstrate the results.

What you'll learn

• Github
• Machine Learning
• R programming
• Regression Analysis

Requirements

• Basic knowledge of Data Science.
• A computer or laptop with internet connectivity.
• Learn about techniques of Data Science specialization in approximately 7 months.
• Flexible work schedule.

AccessTo Career Resources with Data Science Specialization Course

Enroll Free

Enhanced Employability:

An outstanding Data Science 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 skills confirms that you can complete all related tasks.

Networking Opportunities:

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