Python for Data Analysis Fundamentals

Syllabus

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Master Python for Data Cleaning, Analysis, and Automation

This live online course introduces Python as a practical tool for data analysis and automation in real business environments.
Participants will learn how to organize datasets, write Python programs, and perform analytical tasks commonly used for data processing and reporting.

Through guided hands-on sessions, learners will develop practical skills in data cleaning, analysis, automation, and visualization using Python.

Who This Course Is For

  • Beginners interested in learning Python for data analysis
  • Students preparing for data analytics careers
  • Business analysts and reporting professionals
  • Working professionals handling large datasets
  • Anyone looking to automate data processing workflows

What You Will Learn

Python Programming Fundamentals

  • Python syntax and programming basics
  • Variables, data types, and operators
  • Conditional statements and loops
  • Functions and reusable code

Data Preparation and Management

  • Working with structured data
  • Reading and writing data files (CSV, Excel)
  • Data cleaning and transformation techniques
  • Handling missing and inconsistent data

Data Analysis Using Python

  • Introduction to NumPy and Pandas
  • Data filtering and manipulation
  • Data aggregation and summarization
  • Basic statistical analysis

Data Visualization and Reporting

  • Creating charts and graphs
  • Visualizing trends and patterns
  • Building data reports and insights

Course Details

  • Duration: 4 weeks (12 hours)
  • Format: Live online training
  • Level: Beginner to Intermediate

Course Outcomes

  • Write Python programs for data analysis
  • Clean and transform datasets efficiently
  • Automate data processing tasks
  • Generate insights from business data
  • Improve productivity using Python workflows