Who should enroll in this certification course?

This course is ideal for data analysts, business professionals, IT specialists, and students looking to build expertise in data analytics and preprocessing.

What are the prerequisites for this program?

Basic knowledge of mathematics and statistics is recommended but not mandatory. No prior programming experience is required.

Is this certification recognized?

Yes, this certification is globally recognized and issued by Amity Online, a leading institution in online education.

What will I learn in this course?

You will learn key data preprocessing techniques such as data cleaning, transformation, handling missing values, and visualization using Python.

Certificate in Descriptive Analytics and Data Pre-processing using Python

Q: What is the Descriptive Analytics and Data Pre-Processing Using Python certification?

The certification in Descriptive Analytics and Data Pre-Processing Using Python by Amity Online helps learners master Python techniques for data cleaning, transformation, and visualization.

Post successful completion, apply for paid internship

Step into the world of data analytics with a Certificate in Descriptive Analytics and Data Pre-processing Using Python. This course is meticulously designed to transform beginners and enthusiasts into proficient data analysts. With hands-on projects, industry-relevant tools, and expert guidance, you’ll gain the skills needed to clean, transform, and analyze data, turning raw information into actionable insights. Whether you're preparing for a career in analytics or upskilling, this course is your gateway to success.

Core Foundations: Delve into the fundamentals of descriptive analytics and data preparation.

Python Expertise: Gain proficiency in Python libraries like Pandas, NumPy, and Matplotlib.

Data Cleaning and Transformation: Learn to handle missing values, engineer features, and prepare datasets for analysis.

Exploratory Analysis: Explore univariate, bivariate, and multivariate statistical methods.

Industry Insights: Learn from experts with extensive experience in analytics and AI.

Internship Opportunities: Apply for a paid internship after you complete the program.

Flexible Learning: Learn anytime, anywhere with our expert-led recorded lectures.

*Paid internship will be as per organization's norms or on a first-come, first-serve basis.

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: USD ~~300~~ USD 200

Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left!

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

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

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

What makes these certifications unique?

These certifications are unique because they focus on practical, Python-based approaches to descriptive analytics and data pre-processing, equipping you with industry-relevant skills through real-world examples and hands-on learning.

Who is this program for?

What are the prerequisites for enrollment?

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: USD ~~300~~ USD 200