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Overview

Approx 38 Hours To Complete Python Programming in English Language

On completion of all the modules in this course, you will be able to use Anaconda, Jupyter Notebooks, Python data structures, control flows, loops, functions, NumPy Arrays, Pandas DataFrames, and Data Visualization in Python Programming. You will become proficient in Python Programming.

  • Module1: Introduction and Environment Setup
  • Topics:
  • • Anaconda Installation
  • • Creating and using Jupyter Notebook
  • • Advantages of Jupyter Notebooks
  • Module2: Data Structures
  • Topics:
  • • Lists
  • • Tuples
  • • Dictionaries
  • • Sets
  • Module3: Control Flow and Loops:
  • Objectives:
  • • If .. Else
  • • If .. elif ..else
  • • Loops
  • • Comprehensions
  • Module4: Functions
  • Topics:
  • • Functions
  • • Lambda Expressions
  • • Map
  • • Reduce
  • • Filter
  • Module5: Python for Data Science - NumPy
  • Topics:
  • 1. NumPy Arrays
  • 2. Functions to describe NumPy Arrays
  • 3. Slicing and Indexing in NumPy
  • 4. Subset of Arrays
  • 5. Iterating through NumPy Arrays
  • 6. NumPy Operations
  • Module6: Python for Data Science – Pandas
  • Topics:
  • 1. Series
  • 2. DataFrame
  • 3. Slicing and Indexing
  • 4. Merge DataFrames
  • 5. Append DataFrames
  • 6. Grouping
  • 7. Pivot Tables
  • 8. Analyse DataFrames
  • Module7: I/O operations
  • Topics:
  • 1. Reading and Writing Data from flat files
  • 2. Reading and Writing Data from sql tables
  • Module 8: Data Visualization in Python
  • Topics:
  • 1. What is Data Visualization?
  • 2. Why we need Data Visualization?
  • 3. Data Visualization using Matplotlib
  • 4. Types of plots
  • 5. Working with plots

About the instructor

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  • Raj Mesosns

    Technical Specialist of MESONS

    Qualification : BTech

    Technical Specialist,

    Skills :Software QA,Engineering,IT And Tech,Data Science,Web Development

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    Course Features

  • Lectures 38
  • Quizzes 0
  • Duration 38 hours
  • Skill level 2
  • Language English