--- title: Programming for Data Analytics Using Python Certificate | Amity Online description: Master Python for data analytics with Amity Online's comprehensive certification. Learn to manipulate, analyze, and visualize data effectively. Enroll today! --- # Certificate in Programming for Data Analytics Using Python Post successful completion, apply for paid internship In Collaboration With Kickstart your journey in data analytics with the Certificate in Programming for Data Analytics Using Python, a comprehensive course that equips you with in-demand skills to analyze, visualize, and interpret data effectively. Designed for both beginners and professionals, this course combines foundational concepts with hands-on learning to help you tackle real-world data-related challenges confidently. **Master Python and Key Libraries:** Build a strong foundation in Python, Pandas, NumPy, and Matplotlib. **Data Visualization Skills:** Create impactful visualizations to communicate insights effectively. **Internship Opportunities:** Apply for a paid internship after you complete the program. **Data Manipulation Expertise:** Clean, transform, and manipulate datasets with ease. **Actionable Insights:** Transform complex data into meaningful insights to drive value in any organization and industry. **Flexible Learning:** Learn any time, 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 Master Python for data manipulation and analysis. ###### Automation Automate repetitive data processes efficiently using Python. ###### Data Management Organize and handle large datasets effectively. ###### Data Preprocessing Clean, transform, and prepare data for analysis. ###### Data Analysis Extract insights using statistical and analytical techniques. ###### Data Visualization Create impactful graphs and charts to interpret data. ###### Predictive Analytics Build models to forecast trends and outcomes. ###### Corporate Internship Gain real-world professional experience through an internship\*. ## Tools and Platforms covered ## 1\. Introduction to Python for Data Analysis Understand the basics of Python, its frameworks, and the fundamentals of Python programming for analysis. 1. Overview of Python for Data Science 2. Setting up the Environment 3. Basic Python Syntax ## 2\. Control Flow Statements in Python     ## 3\. Data Structures and Manipulation ## 4\. Data analysis Libraries ## 5\. Data Cleaning and Preparation ## 6\. Data Wrangling ## 7\. Data Visualization ## 8\. Exploratory Data Analysis ## 9\. Case Study ## Earn and Share Your Certificate ## Meet our top-ranked faculty ###### Jagadish GS Analyst, Advisory KPMG India ###### Shalini Kanagasabapathy Consultant Advisory-Transformation-BE, KPMG India ###### Pranab Das 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 Python programming. 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 Python programming in business scenarios 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 Data Analytics Using Python from Amity University Online, respected by employers across multiple sectors. - ##### Total Modules: 9 Gain insight into a topic and learn the fundamentals. - ##### Duration 24 hours - ##### Level: Beginner No prior experience required - ##### Internship Be eligible for internship (paid/unpaid) - ##### Fee: ₹~~33,000~~ ₹21,000 ## Program Overview and Structure ### 1\. Introduction to Python for Data Analysis Understand the basics of Python, its frameworks, and the fundamentals of Python programming for analysis. 1. Overview of Python for Data Science 2. Setting up the Environment 3. Basic Python Syntax ### 2\. Control Flow Statements in Python Learn to effectively use loops and functions driven by user-defined conditions, enabling seamless automation of repetitive tasks and streamlined workflows. 1. Conditional Statements and Looping Statements 2. Functions ### 3\. Data Structures and Manipulation Understand the types of data that can be passed in Python, along with their unique features, behaviors, and practical applications, to enable effective data manipulation. 1. Strings, Lists, Tuples, Sets, Dictionaries, and Arrays ### 4\. Data analysis Libraries Work with advanced Python libraries that enable users to apply mathematical and tabular functions for better analytics. 1. NumPy 2. Pandas ### 5\. Data Cleaning and Preparation Understand the various aspects of Python used for data pre-processing, which is a crucial step before analyzing data and deriving insights. 1. Handling Missing Values 2. Data Transformation 3. Feature Engineering 4. Data Inspection ### 6\. Data Wrangling Work with datasets and get insights from them, which reveals a bigger story than what meets the eye. 1. Join, Reshaping 2. Group Operations 3. Data Aggregation ### 7\. Data Visualization Learn to use advanced visualization libraries to create charts, graphs and other visualizations. 1. Matplotlib and Seaborn 2. Creating Effective Plots 3. Interactive Visualizations with Plotly ### 8\. Exploratory Data Analysis Work with processed data, apply different algorithms to it, and develop a predictive model for exploring and analyzing the dataset. 1. Univariate, bi-variate and multi-variate analysis 2. Statistical analysis ### 9\. Case Study Combine all the modules to build a mini project towards the end of the program. 1. Documenting EDA Process ## Frequently Asked Questions ### What makes these certifications unique? These certifications are unique because they combine Python programming with practical data analytics skills, offering hands-on projects and industry-relevant training designed to prepare you for real-world data-driven roles. ### Who is this program for? This program is ideal for beginners, working professionals, and students who want to build a strong foundation in Python programming for data analytics and pursue careers in data-driven fields. ### What are the prerequisites for enrollment? There are no strict prerequisites for enrollment; however, having a basic understanding of programming concepts and an interest in data analytics would be beneficial. ### What tools and technologies will I learn? You will learn Python programming along with essential data analytics tools and libraries like NumPy, Pandas, and Matplotlib, which are widely used for data analysis, manipulation, and visualization. ### How is the program structured? The program is structured to cover fundamental concepts of Python programming with a focus on data analytics, including topics like data handling, libraries such as Pandas and NumPy, and practical applications through hands-on exercises and real-world projects. ### 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 using Python programming skills to collect, process, and analyze data, helping you solve real-world business problems and boosting your career in data analytics, business intelligence, or related fields. ### 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 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 internships start? 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 an 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.