Course Curriculum 26
- Lecture1.1
  
  Python Programming Language Basics
- Lecture1.2
  
  Numpy
- Lecture1.3
  
  Pandas
- Lecture1.4
  
  Mathplotlib
- Lecture1.5
  
  Seaborn
- Lecture1.6
  
  IT Fundamentals
- Lecture1.7
  
  Statistics for Data Science
- Lecture1.8
  
  Google Spreadsheet – GSS
- Lecture1.9
  
  SQL
- Lecture1.10
  
  Tableau
- Lecture1.11
  
  Power BI
- Lecture1.12
  
  Machine Learning
- Lecture1.13
  
  Deep Learning
- Lecture1.14
  
  Model Deployment
- Lecture1.15
  
  Streamlit
- Lecture1.16
  
  Flask
- Lecture1.17
  
  Docker
- Lecture1.18
  
  Heroku
- Lecture1.19
  
  Hands on Projects
- Lecture1.20
  
  Capstone Projects ( 15 Projects )
- Lecture1.21
  
  Software Development Life Cycle (SDLC)
- Lecture1.22
  
  Git – GitHub
- Lecture1.23
  
  Jira Management Tool
- Lecture1.24
  
  Agile Methodology
- Lecture1.25
  
  Career Coaching
- Lecture1.26
  
  Internship Project

Pandas

Pandas is one of the most important libraries of the Python programming language. With Pandas, data reading, data preprocessing and data cleaning stages are done in a data science project. After collecting the data, making the data suitable for analysis is very important for data analysis. Data preprocessing and data cleaning is the phase that takes the most time from data scientists. Analyzes are made easier and faster by organizing data with the Pandas library.

Pandas Data Manipulation

DataStructures Series-Series Operations

DataFrames--DataStructures

DataFrame_indexing_selecting

Series Operations

Working with text-IO Tools-series ops

MissingData groupby

Concat-Merging-Joining

Window-Aggretitons-statistical integration

Pandas Data Manipulation

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Course Curriculum 26

Pandas

Pandas Data Manipulation

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