Certification Program in Data Science & Analytics

Data Science and Analytics is one of the most in-demand job roles for all companies today. There are over 30,000+ job openings for various roles in the field of Data Science. And what recruiters really want are skills. But being a relatively new field, it’s important that you take up the best Data Science course that is as beginner-friendly as it is industry-relevant. 

<!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}-->To make Data Science for beginners easy to understand, this course covers multiple projects that give you hands-on experience. These projects include a data cleaning project, a Regression project where you will build your own predictive model and an EDA project to name a few. Each of these projects is based on a real-world scenario.These projects will be Live and will give you the opportunity to apply your skills even as you take your first step into the industry

The learning content will be available to access for 3 years post-completion of your course.

A love for data and solving problems is the first set of criteria to take up our Data Science and Analytics course. The entire program is designed for beginners, and covers everything starting from the very basics, including programming with Python. So a coding background is not compulsory (although knowing a coding language like Java, Python or C/C++ is an added bonus).

Click on the Apply Now button to enroll in the upcoming batch. Our Learning Consultants will reach out to you and will counsel you accordingly. Further, you can pay the admissions fee and block your seat to enroll in the program.

Due to the nature of your Data Science and Data Analytics training, you will require a Laptop to complete your project

Keeping your college workload in mind, the Live classes to learn Data Science & Analytics are scheduled every Saturday, Sunday from 7 pm to 9 pm.

You will get access to 12-15 hours worth of recorded sessions per week. You can study from these at your own pace and convenience, although we do recommend spending 2-3 hours every day on self-studying. Apart from this, every weekend, we conduct 2 hours of Live sessions and 2 hours of Doubt clearing sessions. Live sessions are conducted with Subject Matter Experts who will explain the concepts in detail, and during doubt-clearing sessions, you can directly ask your queries to Teaching Assistants. 

At the start of the Data Science and Analytics course, you will be assigned a mentor. The role of your mentor is to help you through your course and assess your progress along the way. Mentors are there to guide you through any queries or issues you may have during the course.

In addition, you will also be guided by Subject Matter Experts who will conduct the Live sessions and by Teaching Assistants who will help resolve your doubts.

We provide an extensive range of resources for you to dip into. Every weekend, you will have doubt clearing sessions, where you can get answers to your queries in a one-on-one manner from Teaching Assistants and Subject Matter Experts. Furthermore, you can also connect with other students in the forum and get any peer support you need.

Yes, upGrad Campus offers Placement Plus and Internship Plus – specially-curated programs where our dedicated Mentors will guide and train you for getting placed in your dream company.

These programs help you get interview-ready via profile building, resumé proofing and updation, employability tests, group discussions, mock interviews and more. And the best part? You get 3 assured internship/job opportunities upon signing up for these programs.

To make Data Science for beginners easy to understand, this course covers multiple projects that give you hands-on experience. These projects include a data cleaning project, a Regression project where you will build your own predictive model, and an EDA project to name a few. Each of these projects is based on a real-world scenario. These projects will be Live and will give you the opportunity to apply your skills even as you take your first step into the industry.