Instructor Name

Sai Manasa


100% Industry Readiness in Python Development & DS


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Course Requirements

This Training is a part of 100% industry readiness program, Candidate should have taken the full course. This is not a free course and can't be purchased independently.

Course Description

Python-Data science based development in Django framework

  • Development Framework Basics
  • Requirement Specifications, High-level and Low-level specifications
  • Understand the flowchart, complexity of requirements
  • Introduction to programming, variables, data types, control flow, functions
  • OOPs basics- classes & objects
  • Abstraction, constructors and destructors
  • Python Syntax and language, I/O, Exception Handling
  • Python Standard Library functions (OS/Sys/ Date-time/math etc.)
  • Collection and data structure
  • Functional programming
  • File handling, CSV, JSON other formats
  • Python Module and Packages
  • HTTP Request handling, working with APIs handling JSON data
  • Working with Python and database connectivity
  • Concurrency and Multithreading
  • Working with Unit test and TDD concept
  • Debugging and Troubleshooting
  • Python Best practices- code organization, code refactoring, code formatting
  • Version control with git and integrated development environment
  • R Programming Basics
  • Data manipulation and transformation
  • Data visualization
  • Data Import and Export
  • Statistical and analysis and modelling 
  • Introduction to popular data science libraries like Pandas, NumPy, and Matplotlib.
  • Python Programming for Data cleansing, processing, Data Analysis,
  • Predictive analysis and decision making
  • Industry Best Practices like code checkout, modification, testing, check-in/commit
  • Assignments


Course Curriculum


Sai Manasa

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1 Students
8 Courses

Master's degree in Applied Mathematics with experience business Analytics and data science, currently serving as a Business Analyst at Genpact. My expertise lies in Data Science and Python. I successfully automated intricate manual processes in the Banking sector and developed an MLOps pipeline for Risk Management analysis using Vertex AI in GCP. I conducted comprehensive Exploratory Data Analysis in Banking data, identifying crucial features to predict customer default possibilities.

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Python-Data science


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