Amity Online Certificate in Descriptive Analytics and Data Pre-processing using Python

Students may choose to work in entry-level positions such as Data Analyst, Business Analyst, Analytics Associate, Data Science Associate, Junior Python Developer, Reporting Analyst, and Data Operations Analyst in tech, BFSI, consultancy, e-commerce, and healthcare domains.

Python continues to be the most demanded programming language in the field of analytics and data. Expertise in Pandas, NumPy, and data pre-processing is considered a mandatory skill set in most data analyst and analytics associate job descriptions.

Yes. After completing this course, candidates can apply for internships – paid or unpaid. Availability of an internship is dependent on organisational policies and is provided on a first-come, first-served basis.

The certification gives you a good background in data analytics and pre-processing using the Python language. Entry-level jobs in data analytics could be made more effective by pairing this certificate with others, such as predictive or business analytics certifications.

Yes. Individuals working in the fields of business, operations, finance, or marketing who wish to add data analytics capabilities to their current role could benefit from this certification.

Candidates are supposed to complete their higher secondary level education (10+2) or higher from any recognized educational institute. There is no specific stream, technical qualification, or programming expertise required for the eligibility criteria.

No. Any eligible candidate can apply by completing online registration and payment without appearing for an entrance examination or personal interview.

This program is available at the price of ₹13,000, and the entire payment will be made online along with the admission. There will be no other fees for the completion of this course.

You can access the learning platform shortly after your admission is confirmed by the admission department.

Yes. The program is delivered entirely through self-paced recorded sessions with no fixed class timings, making it suitable for students enrolled in degree programs as well as working professionals managing full-time responsibilities.