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Data Analysis using NumPy and Pandas

Analyze data quickly and easily with Python's powerful numpy and pandas libraries

Created by DATAhill Solutions Srinivas Reddy, Last Updated 23-Jan-2020, Language:English

What Will I Get ?

  • NumPy Introduction
  • Python Numpy Array
  • Indexing & Slicing
  • Statistical Functions, Operators & Random Numbers
  • Introduction Series & DataFrame
  • Date Range & Inspecting Data
  • Indexing & Slicing on DataFrame
  • Concatination & Descriptive Statistics
  • Merging DataFrames
  • Working with Text Data
  • Function Application

Requirements

  • Basic experience with the Python programming language

Description

If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it "Excel on steroids"!

Over the course of more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Who this course is for:

  • Data analysts and business analysts
  • Excel users looking to learn a more powerful software for data analysis

Course Content

DATAhill Solutions Srinivas Reddy

Data Scientist

Having 10+ Years of Experience in Software Industry which includes Development, Support & Training.

My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data.

Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL.

Having publications and patents in various fields such as machine learning, data security, and data science technologies.

I received my Masters of Technology in Computer Science & Engineering from JNTU.

Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.

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