Data Analysis Using Python Libraries

Published 11/2022
Created by Shivani Soni
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 4h 27m ) | Size: 2.12 GB

Basic Python Libraries

What you’ll learn
Introduction to Python and its Libraries and Working with NumPy and its attributes
Python Pandas and Descriptive Statistics and Data Visualization with Matplotlib with all Pyplot Functions
SciPy Library and all related functions
Implementation of All Libraries on Data Sets

Requirements
You should already have anaconda navigator(anaconda3) installed in PC or Laptops or any other platform to run Python Programs. Python Programming will be done on IDE (jupyter notebook). Tutorial to install jupyter notebook will be given in the beginning.

Description
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as reading and manipulating csv files, and the NumPy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as group by, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.The main objective of the Course is to train the participants in accessing the data from various domains.Requirements· You should already have anaconda navigator(anaconda3) installed in PC or Laptops.· Python Programming will be done on IDE (jupyter notebook). Tutorial to install jupyter notebook will be given in the beginning.Course Objectives1. Introduction to Python and its Libraries2. Working with NumPy and its attributes3. Python Pandas and Descriptive Statistics4. Data Visualization with Matplotlib with all Pyplot Functions5. SciPy Library and all related functions6. Implementation of All Libraries on Data SetAfter going through the course You will have knowledge of Python Basis Libraries that are needed to do the data analysis.

Who this course is for
Beginner Python Developers curious for data science