--- title: Applied Data Engineering Certificate Course | Amity Online description: Gain hands-on experience in data engineering with Amity Online's Applied Data Engineering certification. Learn data pipelines, ETL processes, and more. --- # Certificate in Applied Data Engineering Post successful completion, apply for paid internship In Collaboration With Unlock your potential in the world of data engineering with the 60-hour Certificate in Applied Data Engineering. Designed for professionals, tech enthusiasts, and students, this program offers a comprehensive curriculum tailored by industry experts to help you build in-demand skills. With flexible learning options and hands-on projects, you'll gain expertise in Python, machine learning, big data, and more—preparing you to excel in data engineering roles. **Python Programming for Data Engineering:** Learn to handle data structures, import data, and perform basic data analysis. **Machine Learning Fundamentals:** Understand and apply key machine learning algorithms and techniques. **Web Scraping and NLP:** Master data extraction and natural language processing. **Data Visualization:** Gain proficiency in Tableau for creating impactful visualizations. **Big Data Engineering:** Explore Hadoop, Spark, and related big data tools and technologies. **IoT Fundamentals:** Learn IoT concepts, Azure IoT Hub, and configuration. **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. Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left! ## Skills you'll gain ###### Python Programming Manipulate data structures and perform analysis. ###### Machine Learning Techniques Build and evaluate models using regression and classification. ###### Web Scraping Extract and automate data collection from web sources. ###### NLP Applications Engineer text features and build sentiment analysis models. ###### Data Visualization Design and refine dashboards using Tableau. ###### Big Data Proficiency Manage and process data using Hadoop and Spark. ###### IoT Implementation Configure IoT devices and use Azure IoT Hub. ###### Industry-relevant Skills Real-world professional experience through an internship\*. ## Tools and Platforms covered ## 1\. Python Packages and Syntax for Data Engineering - 10 Hours Master Python programming essentials for data engineering. Learn to efficiently handle data structures like lists and dictionaries, import data from Excel and CSV files, and perform basic data exploration using Jupyter Notebook. Build a solid foundation to manage, manipulate, and analyze datasets effectively. 1. Jupyter Notebook setup and Python packages 2. Handling lists and dictionaries 3. Importing data from Excel and CSV files 4. Data exploration with Python functions ## 2\. Machine Learning using Python - 10 Hours ## 3\. NLP and Web Scraping - 10 Hours ## 4\. Data Visualization using Tableau - 10 Hours ## 5\. Big Data Engineering - 10 Hours ## 6\. IoT Fundamentals and Application - 10 Hours ## Earn and Share Your Certificate ## Meet our top-ranked faculty ###### Lijin Kriss Assistant Manger, Advisory KPMG India ###### Bharat Sharma Consultant, Advisory KPMG India ###### Jagadish GS Analyst, Advisory KPMG India ###### Dilip Balasubramanian Consultant Advisory-Transformation-BE, KPMG India ###### Shalini Kanagasabapathy Consultant Advisory-Transformation-BE, KPMG India ###### 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 science and ML. Our experts help you build dynamic skills and knowledge that meet industry standards. Real-World Case Studies and Data-Driven Projects Gain hands-on experience in data engineering concepts, including Python, machine learning, and big data to make informed decisions and drive impactful outcomes. 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 Applied Data Engineering from Amity University Online, respected by employers across multiple sectors. - ##### Total Modules: 6 Gain insight into a topic and learn the fundamentals. - ##### Duration 60 hours - ##### Level: Beginner No prior experience required - ##### Internship Be eligible for internship (paid/unpaid) - ##### Fee: ₹~~1,00,000~~ ₹60,000 ## Program Overview and Structure ### 1\. Python Packages and Syntax for Data Engineering - 10 Hours Master Python programming essentials for data engineering. Learn to efficiently handle data structures like lists and dictionaries, import data from Excel and CSV files, and perform basic data exploration using Jupyter Notebook. Build a solid foundation to manage, manipulate, and analyze datasets effectively. 1. Jupyter Notebook setup and Python packages 2. Handling lists and dictionaries 3. Importing data from Excel and CSV files 4. Data exploration with Python functions ### 2\. Machine Learning using Python - 10 Hours Dive into machine learning with Python, covering data preprocessing, regression, and classification techniques. Gain hands-on experience with advanced models like support vector machines and ensemble methods. Learn to evaluate models with metrics like precision and F1-score, making you adept at building reliable ML systems. 1. Data wrangling and preprocessing 2. Linear regression, SVM, and decision tree regressors 3. Logistic regression, decision trees, and ensemble methods 4. Model evaluation with confusion matrix, precision, recall, and F1-score ### 3\. NLP and Web Scraping - 10 Hours Unlock the power of web scraping and natural language processing. Learn to automate data extraction with Beautiful Soup and process text data for advanced NLP tasks like sentiment analysis and topic modelling. Master tools and techniques to analyze textual and online data efficiently. 1. Web scraping with Beautiful Soup 2. Automating scripts for data extraction 3. NLP libraries, Text Feature Engineering (unigram, bigram, TF-IDF) 4. Sentiment analysis and document classification ### 4\. Data Visualization using Tableau - 10 Hours Transform data into compelling stories with Tableau. Learn to create stunning visualizations, clean and organize data, and apply filters to refine insights. Gain expertise in designing interactive dashboards that effectively communicate data-driven narratives for business decision-making. 1. Introduction to Tableau and Data Types 2. Chart plotting and customization 3. Filters: top-bottom, dynamic, and global 4. Data cleaning and live/extract connections ### 5\. Big Data Engineering - 10 Hours Explore the world of big data with Hadoop and Apache Spark. Learn to process massive datasets with Hive and Impala, optimize Spark applications for parallel processing, and manage complex data pipelines. Gain proficiency in tools that power the modern data-driven world. 1. Basics of Hadoop (HDFS, YARN) 2. MapReduce and Sqoop 3. Hive, Impala, and Apache Spark concepts 4. RDDs, Spark SQL, and application optimization ### 6\. IoT Fundamentals and Application - 10 Hours Explore the world of big data with Hadoop and Apache Spark. Learn to process massive datasets with Hive and Impala, optimize Spark applications for parallel processing, and manage complex data pipelines. Become proficient in tools that power the modern data-driven world. 1. IoT Basics and Benefits 2. Data Pipelines and Cloud Computing 3. Azure IoT Hub Setup and Features 4. Device SDK Configuration ## Frequently Asked Questions ### What makes these certifications unique? These certifications are unique because they focus on practical, industry-relevant skills in data engineering, combining expert-led learning with real-world projects to prepare you for in-demand roles in the data ecosystem. ### Who is this program for? This program is for aspiring data engineers, software developers, and IT professionals who want to build expertise in data engineering, data pipelines, and big data technologies to advance their careers in the data-driven industry. ### What are the prerequisites for enrollment? A basic understanding of programming, databases, and data structures is recommended for enrollment in this course. ### What tools and technologies will I learn? You will learn tools and technologies like SQL, Python, Hadoop, Spark, and cloud platforms, which are essential for building, managing, and optimizing data pipelines and systems. ### How is the program structured? The program is structured to cover key areas like data modeling, data pipelines, data warehousing, and big data technologies, combining theoretical concepts with practical projects to build hands-on expertise in data engineering. ### Will I receive a certificate upon completion? Yes, students will receive a certification upon successfully completing the program. ### How can I apply what I learn to my career? You can apply what you learn by designing, building, and managing scalable data systems, enabling efficient data flow and analysis, which can advance your career in data engineering, data architecture, or related tech roles. ### Does this program offer a paid internship? Yes! Students who successfully complete the program may become eligible for a paid internship with KPMG or its associates, depending on selection criteria. ### What roles are available in the paid internship? Interns work in consulting, analytics, product development, and business intelligence, handling dashboard development, data analysis, and strategic problem-solving. ### How much is the stipend? The average internship stipend is ₹8,000 per month. ### Where are the paid internships conducted? Paid internships are conducted in-person at KPMG India offices in cities such as: Gurugram, Noida, Bangalore, Mumbai, Pune, Chennai, Kochi, Kolkata, Chandigarh, and Ahmedabad. ### When do paid internships start? Paid internships are offered quarterly, with the selection process taking place in the last week of each quarter. ### Can I reapply if I don’t get selected? Yes, students can reapply twice, but only in alternate quarters. If a student declines a paid internship after selection, they will not be eligible to reapply. ### How do I enroll and what are the payment options? You can enroll by visiting our website and following the enrollment instructions. We offer various payment options, including credit/debit cards, online banking, and installment plans. ### Can I access course materials after completion? Yes, students will have continued access to learning materials even after completing the course.