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Python For Data Analysis and Data Science: Zero To Mastery With Pandas

Learn how to use Python for Data Science Or Data Analysis. Learn Hand's on With 100+ Exercises & Real Life Projects!

Course Description

Hello, dear learning aspirants welcome to “Python For Data Analysis and Data Science: Zero To Mastery With Pandas ”. We love programming. Python is one of the most popular programming languages in today is technical world. Python offers both object oriented and structural programming features. Hence, we are interested in data analysis with Pandas in this course.

This course is for those who are ready to take their data analysis skill to the next higher level with Python data analysis toolkit, i.e. "Pandas". This tutorial is designed for beginners and intermediates but that does not mean that we will not talk about the advanced stuff as well. Our approach of teaching in this tutorial is simple and straightforward, no complications are included to make bored Or lose concentration.

In this tutorial, I will be covering all the basic things you will need to know about the Pandas to become a data analyst or data scientist. We are adopting a hands on approach to learn things easily and comfortably. You will enjoy learning as well as the exercises to practice along with the real life projects (The projects included are the part of large size research oriented industry projects).

I trust it is a wonderful platform and I got an wonderful opportunity to share and gain my technical knowledge with the learning aspirants and data science enthusiasts like you. We will also provide you with a course completion certificate and it will add great value to your career.

Who is this course for?

  • Data Analysis Beginner
  • Business and Analyst
  • Students and Other Professionals
  • Beginner Python developers Curious to learn about Data Science
  • Aspiring data scientists who want to add Python to their tool arsenal
  • Any curious learner who wants to update their knowledge in Business Analysis
  • AI and ML aspirants to upgrade their knowledge in Data Preprocessing before applying the machine learning algorithms to their project

What you will learn?

You will become a specialist in the following things while learning via this course

“Data Analysis With Pandas”.

  • You will be able to analyze a large file

  • Build a Solid Foundation in Data Analysis with Python

After completing the course you will have professional experience on;

  • Pandas Data Structures: Series, DataFrame and Index Objects

  • Essential Functionalities

  • Data Handling

  • Data Pre processing

  • Data Wrangling

  • Data Grouping

  • Data Aggregation

  • Pivoting

  • Working With Hierarchical Indexing

  • Converting Data Types

  • Time Series Analysis

  • Advanced Pandas Features and much more with hands on exercises and practice works.

I think it is a wonderful platform and I got a wonderful opportunity to share and gain my technical knowledge with the learning aspirants and data science enthusiasts.

So, what are you waiting for? Take this course for having an exploratory, engaging, and enlightening learning experience. I wish you all good luck with the course and happy learning.

Goals

  • How to code with Pandas toolkit
  • Learn hundreds of methods and attributes across numerous pandas objects
  • Manipulate data quickly and efficiently
  • Create dataframes with pandas and Recognize analytical approaches to data
  • Solid Foundation in Data Analysis with Python
  • You will be able to analyze a large file
  • You will be able to analyze Time Series Analysis
  • You will be able to work with the String Manipulation
  • Data Munging and Data Cleaning

Prerequisites

  • Basic Knowledge of Computers and Programming.
  • Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2 and pandas 0.19.2.
  • Basic Or intermediate experience with Microsoft Excel or another spreadsheet software but not necessary
  • Basic Programming knowledge or knowing any other programming languages will also helps
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Curriculum

  • Course Introduction
    03:35
    Preview
  • How To Get Most Out Of This Course
    02:05
  • How To Install Python IPython And Jupyter Notebook
    08:26
  • How To Install Anaconda For macOS And Linux Users
    06:37
  • How To Work With The Jupyter Notebook Part - 1
    16:12
  • How To Work With The Jupyter Notebook Part - 2
    10:59
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Python For Data Analysis and Data Science: Zero To Mastery With Pandas
This Course Includes
  • 15.5 hours
  • 102 Lectures
  • 6 Resources
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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