Exploratory Data Analysis Using Python
Learn Exploratory Data Analysis using Python, master Pandas, NumPy, Matplotlib, visualize data, uncover patterns, generate insights, perform analysis, handle real-world datasets effectively.
Program Overview
The Exploratory Data Analysis Using Python program, exclusively designed by NIIT for Seshadipuram Academy of Business Studies, Bengaluru, equips learners with hands-on skills in Python, Pandas, NumPy, Matplotlib. Participants learn to clean, analyze, and visualize data, transforming raw datasets into actionable insights. The course prepares students for data-driven roles such as Data Analyst, Junior Data Scientist, and Business Analyst in analytics, business intelligence, reporting domains.
Curriculum
Comprehensive curriculum to build in-demand tech skills and real-world expertise.
Learn to handle raw datasets and make them analysis-ready.
Perform data preparation using NumPy and Pandas, execute DataFrame operations including filtering, transformation, merging, grouping, and CRUD actions, and summarize datasets with descriptive statistics.
Concept Quiz and Assignments
Transform data into visual insights and extract meaningful information from databases.
Visualize datasets using Matplotlib and Seaborn, query SQL databases using Python, and execute end-to-end data analysis workflows from raw data to actionable insights.
Concept Quiz and Assignments
Identify patterns, trends, and anomalies to uncover actionable insights.
Apply systematic EDA workflows, identify relationships within datasets, and use advanced analytical methods to generate deeper, data-driven insights.
Concept Quiz and Assignments
Leverage AI to accelerate analysis and deliver business-ready insights.
Integrate GenAI tools with Python to refine findings using AI-assisted reasoning and present insights with AI-generated narratives.
Concept Quiz and Assignments
Tools & Technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
Projects You'll Build
Build production-ready projects to showcase real-world skills and strengthen your portfolio.
Course-End Project
Analyze, clean, and visualize datasets to create a professional dashboard that uncovers insights and supports data-driven decisions using Python and analytics tools.
Boost Your Career Visibility
Showcasing a professional Capstone Project on your LinkedIn increases recruiter interest significantly. Build production-ready work that speaks for itself.
Learning Outcomes
Develop industry-relevant skills to create real-world solutions and advance your career.
Achieve proficiency in Exploratory Data Analysis (EDA) using Python, Pandas, and NumPy.
Gain hands-on experience in data visualization with Matplotlib and Seaborn.
Perform SQL-based data extraction and querying with Python integration.
Explore data efficiently using GenAI-powered Python techniques.
Industry-Recognized Certification
Certificate of Completion
This is to certify that
Has successfully completed the Advanced Full Stack Development Program with AI Specialization
Signature
Date
Earn a trusted NIIT professional certificate.
Global Recognition
Accepted by leading employers and organizations worldwide.
Easy Sharing
Add your certificate to LinkedIn, resumes, and professional portfolios.
Career Value
Demonstrates practical skills aligned with industry needs.
Data-Driven Learning, Delivered with Quality
Experience a data-driven learning ecosystem with measurable progress.
Structured Learning Roadmap
Clear learning pathways delivered through our LMS with defined milestones and module progression.
Learner Connect Sessions
Regular live mentor interactions to resolve doubts, reinforce concepts, and maintain engagement.
AI Assisted Faculty Quality Monitoring
AI-assisted faculty performance analysis ensures consistent teaching quality and delivery excellence.
Program Performance Report
Track attendance, assignments, assessments, quizzes, and overall performance with structured progress tracking.
Frequently Asked Questions
Find answers to your queries about the program, curriculum, and admissions.
This course is exclusively designed for BCA 4th and 5th Semester students of Seshadipuram Academy of Business Studies, Bengaluru, looking to gain industry-relevant skills and practical expertise in Exploratory Data Analysis Using Python.
This course is exclusively designed for the Seshadipuram Academy of Business Studies, Bengaluru. It is tailored for ambitious BCA 4th and 5th Semester students pursuing their graduation and looking to future-proof their careers. Learners will gain hands-on skills in Exploratory Data Analysis using Python, with practical knowledge of Pandas, NumPy, Matplotlib, and data visualization techniques. The course prepares students for data-driven roles and advanced analytics projects, equipping them with the expertise to analyze, interpret, and derive actionable insights from real-world datasets.
Admission to the program is direct. Eligible learners can apply by filling out the online application form, submitting the self-declaration and accepting the terms and conditions, and paying the program fee. Admission is confirmed once the payment is successfully completed.
The program follows NIIT’s Mastery Learning methodology, focusing on building one skill at a time through structured, hands-on sprints. Each sprint includes concept introduction through live mentor sessions, individual practice and assignments, mentor review and feedback, and refinement with re-submission of work. Learners typically spend around 4 hours per sprint, with most of the time dedicated to hands-on application and reflection
Upon completing this course, students will be able to perform Exploratory Data Analysis using Python, manipulate datasets with Pandas and NumPy, create visualizations with Matplotlib, uncover patterns, and generate actionable insights. They will gain practical skills in data cleaning, statistical analysis, and data-driven decision-making, preparing them for roles such as Data Analyst, Junior Data Scientist, or any analytics-focused position in IT and business domains
Learners need a laptop or desktop with Intel i3 or AMD Ryzen 3 (or higher), at least 8 GB RAM, and 50 GB free disk space, along with a functional webcam and microphone. The system should run Windows 10 or macOS (or higher) with the latest Chrome or Edge browser, MS Office or equivalent tools, and a PDF reader installed. A stable Wi-Fi or broadband connection with a minimum speed of 5 Mbps is required, and a backup internet connection is recommended.
Yes, Learners receive a digital certificate after successfully completing the program and meeting all the required conditions (Overall Performance Score, Attendance, Payment Clearence etc).
Hassle-Free Refund Policy
Your satisfaction is our priority. We offer transparent refund terms for your peace of mind.
100% Money-Back Guarantee
Full refund if you request cancellation before the batch starts
Quick Refund Review
Eligible refund requests are carefully reviewed within Seven working days
Transparent Refund Timeline
Approved refunds are completed within 45 days for timely settlement
Important: Enjoy a transparent refund policy. Cancel 48 hours before the class start date to be eligible for a refund if you haven’t attended any class.
Tell us your preferred slot
Custom Schedule Assistance
Investment Plan
Secure your future today
Exclusive of 18% GST
Secure your seat with a token booking fee of ₹2,203 today.
Exclusive of 18% GST