Data Analysis with Pandas and Python Training Course

Data Analysis with Pandas and Python Training Course

Overview

  • Gain a fundamental understanding of Python Programming Language
  • Become a proficient Python programmer by learning along with skilled mentors. 
  • Learn how to search and navigate the tech documentation and efficiently handle errors and exceptions 
  • Get comfortable developing Python programs on your own through a series of coding exercises 
  • Become familiar with industry standards and learn the best practices for writing code 
  • Master your programming skills by working on real life projects; great for a resume building 
  • Create two of your projects for your portfolio of code

Objectives

  • Installing 
  • Sorting 
  • Filtering 
  • Grouping 
  • Aggregating 
  • De-duplicating 
  • Pivoting 
  • Munging 
  • Deleting 
  • Merging 
  • Visualizing and more!
Introduction to Python Programming
  • What is Python?
  • Why Python for Analysts?
  • Basic Python operations 
  • Variable Types in Python
  • Control Structures in Python
  • Pillars of programming: Python built-in Data types
  • Concept of mutability and behavior of different Data structures. 
  • Control flow statements: If, Elif and Else
  • Definite and Indefinite loops: For and While loops 
  • Writing user-defined functions in Python
  • Read and write Text files with python 
  • Learn how to manipulate data with Python
  • Functions and Procedures
  • Python lists, tuples and dictionaries. 
Python as Object Oriented programming language
  • Python classes, objects 
  • Python attributes and methods 
  • Inheritance
Functional Programming 
  • Introduction to Jupyter 
  • Data analysis using python (numpy, pandas, series) 
  • Data visualisation using python libraries (ex; matplotlib, seaborn)

  • Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
  • Basic experience with the Python programming language 
  • Strong knowledge of data types (strings, integers, floating points, booleans) etc
Course ID:
DAPP


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