Browse Library

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

A Practical Approach To Learn Pandas From Basic To Advanced Level With 100 + Exercises and Real Life Projects

Instructed by Pruthviraja L

5 days left at this price!
  • Buy Single Course $25 $35 29% off
    $25
    It Includes:
    Get access to this course only.
    Access to all marketplace courses
    Lifetime Course Access
    Play & Pause Videos
    High Quality Recorded Lectures
    Learn Online from Mobile/PC/Tablet
    Download Course for Offline Viewing
    Inlcudes Real Projects
    Free Instructor Support
  • Go Premium & Save
    Get access to all courses starting at $19/mo
    It Includes:
    Get Monthly Unlimited Access (1 user)
    Access to all marketplace courses
    Play & Pause Videos
    High Quality Recorded Lectures
    Learn Online from Mobile/PC/Tablet
    Download Course for Offline Viewing
    Inlcudes Real Projects
    Certificate of Completion
    Free Instructor Support
  • Monthly $15/Per user (min 5 users) ($14/user/mo)
    Buy
    Buy
    $15
    It Includes:
    All Personal plan features +
    Best for small teams or Business
    Unlimited access for team
    Admin Dashboard & Analytics
    Basic reporting
    User Management
    Custom Branding Options
  • Yearly $169/Per user (min 5 users) ($14/user/mo)
    Buy
    Buy
    $169
    It Includes:
    All Personal plan features +
    Best for small teams or Business
    Unlimited access for team
    Admin Dashboard & Analytics
    Basic reporting
    User Management
    Custom Branding Options
  • Build a Solid Foundation in Data Analysis with Python
  • Manipulate data quickly and efficiently
  • How to code with Pandas toolkit
  • Able to analyze a large file
  • Learn hundreds of methods and attributes across numerous pandas objects
  • Create dataframes with Pandas and recognize analytical approaches to data

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 wil 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 and believe that, 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 enthusiasists.

I wish you all good luck with the course and happy learning. Let's dive into the course and engage with the knowledge.

To your Success
Pruthviraja L

  • No Prior Knowledge or Experience Needed, Only a Passion to Learn !
  • Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2 and pandas 0.19.2.
  • Basic knowledge of data types (Basic Maths, integers, floating point numbers, Logic Conditions) etc, but not necessary
  • Basic Or intermediate experience with Microsoft Excel, but not necessary.
  • 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
View More...

Section 1 : Getting Started

  • Lecture 1 :
  • Lecture 2 :
  • How To Get Most Out Of This Course
  • Lecture 3 :
  • Better To Know These Things
  • Lecture 4 :
  • How To Install Python IPython And Jupyter Notebook
  • Lecture 5 :
  • How To Install Anaconda For macOS And Linux Users
  • Lecture 6 :
  • How To Work With The Jupyter Notebook Part - 1
  • Lecture 7 :
  • How To Work With The Jupyter Notebook Part - 2

Section 2 : Pandas Building Blacks

  • Lecture 1 :
  • How To Work With The Tabular Data
  • Lecture 2 :
  • How To Read The Documentation In Pandas

Section 3 : Pandas Data Structures

  • Lecture 1 :
  • Theory On Pandas Data Structures
  • Lecture 2 :
  • How To Construct The Pandas Series
  • Lecture 3 :
  • How To Construct The DataFrame Objects
  • Lecture 4 :
  • How Construct The Pandas Index Objects
  • Lecture 5 :
  • Practice_Part_01
  • Lecture 6 :
  • Practice_Part_01 Solution

Section 4 : Data Indexing and Selection In Pandas

  • Lecture 1 :
  • Theory On Data Indexing And Selection
  • Lecture 2 :
  • Data Selection In Series Part 1
  • Lecture 3 :
  • Data Selection In Series Part 2
  • Lecture 4 :
  • Indexers Loc And Iloc In Series
  • Lecture 5 :
  • Data Selection In DataFrame Part 1
  • Lecture 6 :
  • Data Selection In DataFrame Part 2
  • Lecture 7 :
  • Accessing Values Using Loc Iloc And Ix In DataFrame Objects
  • Lecture 8 :
  • Practice_Part_02
  • Lecture 9 :
  • Practice_Part_02 Solution

Section 5 : Essential Functionalities

  • Lecture 1 :
  • Theory On Essential Functionalities
  • Lecture 2 :
  • How To Reindex Pandas Objects
  • Lecture 3 :
  • How To Drop Along Rows and Columns Axis
  • Lecture 4 :
  • Arithmetic And Data Alignment
  • Lecture 5 :
  • Arithmetic Methods With Fill Values
  • Lecture 6 :
  • Broadcasting In Pandas
  • Lecture 7 :
  • Apply And Applymap In Pandas
  • Lecture 8 :
  • How To Sort And Rank In Pandas
  • Lecture 9 :
  • How To Work With The Duplicated Indices
  • Lecture 10 :
  • Summarising And Computing Descriptive Statistics
  • Lecture 11 :
  • Unique Values Value Counts And Membership
  • Lecture 12 :
  • Practice_Part_03
  • Lecture 13 :
  • Practice_Part_03 Solution

Section 6 : Data Handling

  • Lecture 1 :
  • Theory On Data Handling
  • Lecture 2 :
  • How To Read The Csv Files Part - 1
  • Lecture 3 :
  • How To Read The Csv Files Part - 2
  • Lecture 4 :
  • How To Read Text Files In Pieces
  • Lecture 5 :
  • How To Export Data In Text Format
  • Lecture 6 :
  • How To Use Python's Csv Module
  • Lecture 7 :
  • Practice_Part_04
  • Lecture 8 :
  • Practice_Part_04 Solution

Section 7 : Data Cleaning and Preparation

  • Lecture 1 :
  • Theory On Data Preprocessing
  • Lecture 2 :
  • How To Handle Missing Values
  • Lecture 3 :
  • How To Filter The Missing Values
  • Lecture 4 :
  • How To Filter The Missing Values Part 2
  • Lecture 5 :
  • How To Remove Duplicate Rows And Values
  • Lecture 6 :
  • How To Replace The Non Null Values
  • Lecture 7 :
  • How To Rename The Axis Labels
  • Lecture 8 :
  • How To Discretize And Bin The Data
  • Lecture 9 :
  • How To Filter And Detect The Outliers
  • Lecture 10 :
  • How To Reorder And Select Randomly
  • Lecture 11 :
  • Converting The Categorical Variables Into Dummy Variables
  • Lecture 12 :
  • How To Use 'map' Method
  • Lecture 13 :
  • How To Manipulate With Strings
  • Lecture 14 :
  • Using Regular Expressions
  • Lecture 15 :
  • Working With The Vectorized String Functions
  • Lecture 16 :
  • Practice_Part_05
  • Lecture 17 :
  • Practice_Part_05 Solution

Section 8 : Data Wrangling

  • Lecture 1 :
  • Theory On Data Wrangling
  • Lecture 2 :
  • Hierarchical Indexing
  • Lecture 3 :
  • Hierarchical Indexing Reordering And Sorting
  • Lecture 4 :
  • Summary Statistics By Level
  • Lecture 5 :
  • Hierarchical Indexing With DataFrame Columns
  • Lecture 6 :
  • How To Merge The Pandas Objects
  • Lecture 7 :
  • Merging On Row Index
  • Lecture 8 :
  • How To Concatenate Along An Axis
  • Lecture 9 :
  • How To Combine With Overlap
  • Lecture 10 :
  • How To Reshape And Pivot Data In Pandas
  • Lecture 11 :
  • Practice_Part_06
  • Lecture 12 :
  • Practice_Part_06 Solution

Section 9 : Data Grouping and Aggregation

  • Lecture 1 :
  • Theory On Data Groupby And Aggregation
  • Lecture 2 :
  • Groupby Operation
  • Lecture 3 :
  • How To Iterate Over Groupby Object
  • Lecture 4 :
  • How To Select Columns In Groupby Method
  • Lecture 5 :
  • Grouping Using Dictionaries And Series
  • Lecture 6 :
  • Grouping Using Functions And Index Level
  • Lecture 7 :
  • Data Aggregation
  • Lecture 8 :
  • Practice_Part_07
  • Lecture 9 :
  • Practice_Part_07 Solution

Section 10 : Time Series Analysis

  • Lecture 1 :
  • Theory On Time Series Analysis
  • Lecture 2 :
  • Introduction To Time Series Data Types
  • Lecture 3 :
  • How To Convert Between String And Datetime
  • Lecture 4 :
  • Time Series Basics With Pandas Objects
  • Lecture 5 :
  • Date Ranges, Frequencies And Shifting Part - 1
  • Lecture 6 :
  • Date Ranges Frequencies And Shifting Part - 2
  • Lecture 7 :
  • Time Zone Handling
  • Lecture 8 :
  • Periods And Period Arithmetic’s
  • Lecture 9 :
  • Practice_Part_08
  • Lecture 10 :
  • Practice_Part_08 Solution

Section 11 : Analysing Real Life Projects Using Open Source Data

  • Lecture 1 :
  • A Brief Introduction To The Pandas Projects
  • Lecture 2 :
  • Project_1 Description
  • Lecture 3 :
  • Project_1 Solution Part - 1
  • Lecture 4 :
  • Project_1 Solution Part - 2
  • Lecture 5 :
  • Project_2 Description
  • Lecture 6 :
  • Project_2 Solution
  • Lecture 7 :
  • Project_3 Description
  • Lecture 8 :
  • Project_3 Solution Part - 1
  • Lecture 9 :
  • Project_3 Solution Part - 2
  • Lecture 10 :
  • Project Assignment
  • How do i access the course after purchase?

    Once you purchase a course (Single course or Subscription), you will be able to access the courses instantly online by logging into your account. Use the user name & password that you created while signing up. Once logged in, you can go to the "My Courses" section to access your course.
  • Are these video based online self-learning courses?

    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
  • Can i play & pause the course as per my convenience?

    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
  • How do i contact the instructor for any doubts or questions?

    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
  • Do i need a pc to access the course or can i do it on mobile & tablet as well?

    Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
  • Do i get any certification after completing the course?

    Yes. Once you succesfully complete any course on Learnfly marketplace, you get a certiifcate of course completion emailed to you within 24 hours with your name & the Learnfly badge. You can definately brag about it & share it on your social media or with friends as one of your achievement. Click here to view the sample certificate Click Here
  • For how long can i access my course after the purchase?

    If you buy a single course, that course is accessible to you for a lifetime. If you go for a premium subcription, you can access all the courses on Learnfly marketplace till your subscription is Active.
  • Whats the difference between Single Course Purchase & Go Premium option?

    With Single Course Purchase, you only get an access of one single course. Whereas, with premium monhtly or annual subscription, you can access all the existing or new courses on learnfly marketplace. You can decide what option suits you the best and accordingly you can make your purchase.
  • Is there any free trial?

    Currently, we don't have any free trial but it may be available in near future.
  • What is the refund policy?

    We would hate you to leave us. However, if you are not satisfied, you can ask for a full refund within 30 days & we will be happy to assist you further.

Pruthviraja L,

Hi, I am Pruthivraja L, with more than 7 plus years of teaching and training experience from various technical institutes. Teaching is my passion. I'm a Certified Data Analyst. I got certifications from various eLearning centers including Udemy, Intellipaat-Bengaluru, LinkedIn eLearning center, etc. My teaching skills are Matlab, Python, SAS, R, AI and Machine learning, Data Science and Data Analysis. I love teaching and training because I knew sharing knowledge with the globe through digital media makes us feel proud and we also get satisfaction for empowering and enlightening the new learning aspirants & enthusiasts of different skills. I'm a multi-faceted software professional aspirant with demonstrated capability in deploying analytical and programming methodologies to extract insights for boosting and bolstering user requirements. Adept at conducting statistical analysis and data modeling for transforming raw data into actionable strategies. I've written a student-friendly textbook in the electrical engineering field titled 'Elements of Electrical Engineering' under the publication of 'I.K. International Publishing House Pvt Ltd', New Delhi, India. The book is available in many countries including the USA and UK via Amazon and many other seller portals. The book is now started distributing under Wiley India Pvt. Ltd.
View More...
big-data-pipeline-applied-to-ufos

Big Data Pipeline Applied to UFOs

By : Eduardo Morelli

Lecture 6

git-and-github-version-control-the-complete-startup-guide

Git and GitHub Version Control - Th...

By : Abhilash Nelson

Lecture 15

statistics-for-data-scientists-and-data-analysts

Statistics for Data Scientists and ...

By : Phikolomzi Gugwana

Lecture 31

big-data-and-hadoop

Big Data and Hadoop

By : Saheb Singh

Lecture 26

machine-learning-from-scratch-using-python

Machine Learning from Scratch using...

By : Saheb Singh

Lecture 14

data-preparation-for-analytics-a-z-alteryx-hands-on

Data Preparation for Analytics A-Z...

By : Shokat Ali

Lecture 13

Sign up and start learning
By signing up, you agree to our Terms of Use and Privacy Policy
Forget Password