Login
Online Course Advanced Certification in Python for Data Analysis & Automation
IT & Software Development

Advanced Certification in Python for Data Analysis & Automation

Build practical Python skills for data analysis and automation using NumPy, Pandas, Matplotlib, Seaborn, APIs, file handling, reporting, scheduling and automation projects.
Course ModeOnline
Duration12 Weeks
StartsTo Be Announced
Course Fee
₹9,999 /-
Enroll Now
About The Course

Overview

The Advanced Certification in Python for Data & Automation is a 60-hour practical program designed to develop Python programming skills for data processing, analysis, visualization and automation.

The program covers Python fundamentals, data structures, functions, modules, file handling, exception handling and reusable programming practices. Learners will work with NumPy and Pandas for data cleaning, transformation and analysis, and Matplotlib and Seaborn for data visualization.

The course also focuses on practical automation using file and folder operations, batch processing, report generation, email automation, task scheduling and web/API requests.

Learners will further explore testing, debugging, logging, data validation, automated data pipelines, performance optimization, secure credential handling and project documentation. The program concludes with a complete Python-based data analysis and automation project.

Learning Goals

Course Outcomes

By the end of this program, learners will be able to:

  1. Understand Python programming fundamentals and their applications in data processing, analysis and automation.
  2. Develop robust Python programs using data structures, functions, modules, file handling and exception handling.
  3. Apply NumPy, Pandas, Matplotlib and Seaborn for data cleaning, analysis, transformation and visualization.
  4. Develop practical automation solutions for file management, data collection, reporting, APIs, scheduling and repetitive tasks.
  5. Design, develop, test, document and present a complete Python-based data analysis and automation project.
Curriculum

Course / Modules

Unit I: Python Fundamentals for Data and Automation

Topics Covered:

  1. Introduction to Python and Its Applications
  2. Python Installation and Development Environments
  3. Variables and Constants
  4. Built-in Data Types
  5. Input and Output
  6. Operators
  7. Type Conversion
  8. Conditional Statements
  9. For and While Loops
  10. Nested Loops
  11. Functions
  12. Scope of Variables
  13. Basic Problem-Solving
  14. Dates and Time
  15. Modules and Packages
  16. Introduction to pip
  17. Virtual Environments

Unit II: Python Data Structures, Functions, and File Handling

Topics Covered:

  1. Strings and String Processing
  2. Indexing and Slicing
  3. Lists
  4. Tuples
  5. Sets
  6. Dictionaries
  7. Built-in Functions
  8. User-Defined Functions
  9. Positional and Keyword Arguments
  10. Default Arguments
  11. Lambda Functions
  12. Recursion
  13. List Comprehensions
  14. Set Comprehensions
  15. Dictionary Comprehensions
  16. Modules and Packages
  17. Reading and Writing Text Files
  18. CSV File Handling
  19. JSON File Handling
  20. Exception Handling
  21. Logging Basics
  22. Practical Data-Processing Programs

Unit III: Data Analysis with NumPy and Pandas

Topics Covered:

  1. Introduction to NumPy
  2. NumPy Arrays
  3. Array Creation
  4. Indexing and Slicing
  5. Array Reshaping
  6. Vectorized Operations
  7. Mathematical Operations
  8. Statistical Operations
  9. Introduction to Pandas
  10. Pandas Series
  11. Pandas DataFrames
  12. Importing CSV Data
  13. Importing Excel Data
  14. Importing JSON Data
  15. Data Selection and Filtering
  16. Handling Missing Values
  17. Handling Duplicate Values
  18. Sorting Data
  19. Grouping and Aggregation
  20. Merging Datasets
  21. Joining Datasets
  22. Concatenating Datasets
  23. Data Transformation
  24. Basic Exploratory Data Analysis
  25. Exporting Processed Data

Unit IV: Data Visualization and Python Automation

Topics Covered:

  1. Introduction to Data Visualization
  2. Data Visualization Using Matplotlib
  3. Line Charts
  4. Bar Charts
  5. Scatter Plots
  6. Histograms
  7. Pie Charts
  8. Box Plots
  9. Chart Customization
  10. Introduction to Seaborn
  11. Dashboards and Data Presentation
  12. Automation Concepts
  13. Automation Workflow Design
  14. File and Folder Operations Using os
  15. File and Folder Operations Using pathlib
  16. Batch File Processing
  17. Automated File Organization
  18. Regular Expressions
  19. Excel Automation
  20. Report Automation
  21. Automated Email Generation
  22. Task Scheduling
  23. Web and API Requests
  24. JSON-Based API Data Processing
  25. Business and Academic Automation Use Cases

Unit V: Advanced Data Processing, Automation, Testing, and Mini Project

Topics Covered:

  1. Data Analysis Workflow
  2. Development of Reusable Scripts
  3. Modular Programming
  4. Virtual Environments
  5. Package Management
  6. Debugging Techniques
  7. Unit Testing Basics
  8. Logging and Error Handling
  9. API-Based Data Collection
  10. Automated Data Pipelines
  11. Data Validation
  12. Data Quality Checks
  13. Performance Optimization
  14. Configuration Files
  15. Secure Handling of Credentials
  16. Project Architecture
  17. Project Documentation
  18. Deployment of Automation Scripts
  19. Execution of Automation Scripts
  20. Industry Case Studies
  21. Capstone Project Development
  22. Project Testing
  23. Project Documentation
  24. Project Presentation
Need Help?

Frequently Asked Questions

The course has a total duration of 60 hours/12 Weeks.
Learners should have a basic understanding of computers, fundamental programming concepts and problem-solving skills.
Yes. The program includes 10 practical experiments covering Python programming, file handling, NumPy, Pandas, visualization, automation, APIs and a complete mini project.
Yes. Learners will design, develop, test, document and present a complete Python-based data analysis and automation application.
The course is suitable for students, aspiring Python developers, data analytics learners, automation enthusiasts and professionals looking to develop practical Python skills for data and automation.
Need More Information?

Contact

Name: Prof. Vijay kumar

Mobile No: 9144888866

Email: [email protected]