
Total Modules: 6
Gain insight into a topic and learn the fundamentals.
Duration
16 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: ₹
21,000₹17,000
Skills you'll gain
Data Manipulation
Efficiently handle and transform datasets.
Data Cleaning
Prepare accurate and reliable data.
Feature Engineering
Create impactful features for analysis.
Exploratory Analysis
Uncover insights through statistical methods.
Data Wrangling
Organize and aggregate data effectively.
Data Visualization
Present insights through impactful visual representations.
Statistical Analysis
Apply statistical techniques for data interpretation.
Corporate Paid Internship
Gain real-world professional experience through an internship*.
Tools and Platforms covered
Program Overview and Structure
1. Introduction to Python for Data Analytics
Develop a strong foundation in Python for data science by understanding its role, setting up the required environment, and mastering basic syntax. These skills will prepare you for advanced data analytics and pre-processing tasks.
- Overview of Python for Data Science
- Setting up the Environment
- Basic Python Syntax
2. Data Structures and Manipulation
3. Data Analysis Libraries
4. Data Cleaning and Preparation
5. Data Wrangling
6. Exploratory Data Analysis
Earn and Share Your Certificate

Meet our top-ranked faculty

Kaushik Swaroop
Consultant Advisory-Transformation-BE, KPMG India
Amity Online Advantages: Why We're the Right Fit for You

Learn from Analytics Experts and Industry Veterans
Learn from experienced faculty and industry professionals who specialize in data analytics and business forecasting. Our experts help you build strong analytical skills and knowledge that meet industry standards.

Real-World Case Studies and Data-Driven Projects
Gain hands-on experience with extracting meaningful insights from raw data that reflect real-world challenges. This practical approach prepares you to make data-driven decisions in any business setting.

Flexible Learning for Busy Professionals
Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill.

Certification with Industry Recognition
Receive a certification in Descriptive Analytics and Data Pre-processing from Amity University Online, respected by employers across multiple sectors.
Frequently Asked Questions
1. What are the prerequisites for this course?
Basic knowledge of Python and statistics is recommended, but not mandatory. We provide introductory modules to get you up to speed.
2. How long does it take to complete the course?
3. Will I receive a certificate upon completion?
4. What kind of support will I receive during the course?
5. Are there any hands-on projects included?
6. Can I interact with other learners?
7. Who can enroll in this course?
8. What Job roles will I be eligible for after completing this certificate?

Total Modules: 6
Gain insight into a topic and learn the fundamentals.
Duration
16 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: ₹
21,000₹17,000