Data Analytics Using Python and SQL Certificate Program
Build strong foundations in data analytics with Python and SQL for data exploration, querying, and insight generation.
Program Overview
The Data Analytics using Python and SQL Certificate Program builds a strong foundation in data analytics through a structured, hands-on approach. Learners work with structured data using SQL, develop Python skills for data handling, automation, and problem-solving, and perform analysis using NumPy and Pandas. The program emphasizes practical application through real-world scenarios, enabling learners to clean, process, analyze, and visualize data effectively. It culminates in a case study where learners apply their skills to solve a business problem and present insights, preparing them for entry-level roles or further specialization ahead.
Curriculum
Comprehensive curriculum to build in-demand tech skills and real-world expertise.
Build Strong SQL Foundations
Learn to design, manage, and query structured databases using SQL for efficient data retrieval and analysis. Gain hands-on experience with queries, DDL & DML, constraints, filtering, aggregation, joins, and built-in functions.
Concept Quiz and Assignments
Develop Core Programming Skills
Build Python programming skills to handle data, automate tasks, and solve problems. Develop logic using conditions and loops, work with data structures, and write modular, reusable code.
Concept Quiz and Assignments
Analyze and Visualize Data Effectively
Analyze, clean, and visualize data using NumPy and Pandas. Gain skills in data manipulation, exploration, and visualization using Matplotlib to generate insights.
Concept Quiz and Assignments
Apply Skills to Real-World Problems
Apply SQL and Python to solve a real-world problem. Gain hands-on experience in end-to-end data analysis and presenting insights through visualization.
Case Study Document
Tools & Technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
Learning Outcomes
Develop industry-relevant skills to create real-world solutions and advance your career.
Build a strong foundation in data analytics using SQL and Python.
Enable learners to design, manage, and query structured data efficiently.
Develop Python programming skills for data handling, automation, and problem-solving.
Equip learners with techniques for data cleaning, transformation, and exploratory data analysis (EDA).
Strengthen the ability to analyze datasets and generate meaningful insights through visualization.
Provide hands-on experience in solving real-world data problems using an integrated approach.
Prepare learners for entry-level roles in data analytics or further specialization in data science.
Industry-Recognized Certification
Certificate of Completion
This is to certify that
Has successfully completed the Data Analytics Using Python and SQL Certificate Program
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.
Candidates who have completed Class X and XII are eligible to apply. The program is open to undergraduates and graduates and is designed for beginners, including those without prior programming experience. With a beginner-friendly approach and practical learning, it helps participants build in-demand data analytics skills and strengthen their foundation for future growth.
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 successful completion of the program, learners develop practical skills in data analytics using Python and SQL. They will be able to retrieve and manage data using SQL, perform data analysis using Python libraries such as Pandas and NumPy, and clean, process, and interpret datasets through visualization techniques, building a strong foundation for entry-level roles and further learning in the data analytics domain.
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 clearance 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 (excluding the booking fee) if you cancel 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.
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Exclusive of 18% GST