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  • Python for Data Analysts – Quick Start

Python for Data Analysts – Quick Start

  • By admin
  • Artificial Intelligence
  • (0 Rating)
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    • This fast-paced, beginner-friendly course is designed for absolute newcomers who want to step into the world of data analysis using Python — no prior coding knowledge needed. In just 2 hours, you’ll gain hands-on skills to read data, manipulate it, and perform basic analysis using Python and Pandas — the most in-demand toolset in Data Science.

      What Will You Learn?
      • How to write your first Python code with zero setup using Google Colab
      • Essential Python syntax — variables, data types, lists, and dictionaries
      • Introduction to Pandas: reading and exploring datasets
      • Simple data cleaning and transformations
      • Basic filtering and value-based analysis
      • A mini-project to apply your learning instantly

      Material Includes

      • Presentations
      • Notes and Resources
      • Program Guide
      • Course Completion Certificate

      Requirements

      • Please have a internet connection
      • Practice with other datasets or
      • We have separate datasets for your learnings

      Audience

      • Absolute beginners curious about Data Science and Python
      • College students and non-tech professionals switching careers
      • Analysts who want to move from Excel to Python
      • Anyone looking to understand data handling in a practical, easy way

      Course Content

      Getting Started with Python

      • Why Python for Data Analysis?
      • Setting up Google Colab (no installations needed)
      • Writing your first Python line
      • Comments and Code Blocks

      Python Basics for Analysts

      • Variables and Data Types (int, float, string, boolean)
      • Type casting and basic functions: len(), type()
      • Arithmetic & Comparison Operators

      Lists, Tuples, and Dictionaries

      • Creating and modifying lists
      • Dictionary basics (key-value pairs for real-life data)
      • Why these are useful for structured data

      Introduction to Pandas

      • What is Pandas? Why it’s key for analysts
      • Creating Series and DataFrames
      • Reading a CSV file
      • head(), info(), describe()
      • Selecting columns and rows
      • Simple filtering

      Basic Data Cleaning

      • Handling null values
      • Changing column names

      Mini Project – Quick EDA

      • Apply all learned steps on one dataset

      Wrap-Up and What’s Next

      • Recap of skills learned
      • Tools to practice: Kaggle, Google Colab
      • Learn Complete EDA or Power BI

      Tags

      • Data Analysis
      • Data Science
      • Microlearning

      A course by

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      Student Ratings & Reviews

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      Course Includes:

      • Price:
        ₹299.00 ₹800.00
      • Instructor:admin
      • Duration: 3 hours
      • Lessons:22
      • Students:0
      • Level:Beginner
      • Certifications:No
      ₹299.00 ₹800.00
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      Email: contact@zhagaramtech.com

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