Data Analysis With Pandas

Course

Online

£ 20 VAT inc.

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Hello and welcome to “Data Analysis With Pandas” from beginner to advanced level. We love programming. Python is one of the most popular programming languages in today’s 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 doesn't means 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 boredOr lose concentration. In this tutorial, I will be covering all the basic things you'll need to know about the 'Pandas' to become a data analyst or data scientist.We are adapting hands on approach to learn the 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).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 Pre-processing before applying the machine learning algorithms to their projectsI 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. I sincerely thank 'Simpliv' and its team for providing the wonderful cooperation. Let's dive into the course and engage with the knowledge.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

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 a 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

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Linux
  • Approach
  • Data analysis
  • Export
  • Programming
  • Install

Course programme

Getting Started 6 lectures 50:56 Course Introduction How To Get Most Out Of This Course Better To Know These Things How To Install Python Ipython And Jupyter Notebook preview How To Install Anaconda For Macos And Linux Users How To Work With The Jupyter Notebook Getting Started 6 lectures 50:56 Course Introduction How To Get Most Out Of This Course Better To Know These Things How To Install Python Ipython And Jupyter Notebook preview How To Install Anaconda For Macos And Linux Users How To Work With The Jupyter Notebook Course Introduction Course Introduction Course Introduction Course Introduction How To Get Most Out Of This Course How To Get Most Out Of This Course How To Get Most Out Of This Course How To Get Most Out Of This Course Better To Know These Things Better To Know These Things Better To Know These Things Better To Know These Things How To Install Python Ipython And Jupyter Notebook preview How To Install Python Ipython And Jupyter Notebook preview How To Install Python Ipython And Jupyter Notebook preview How To Install Python Ipython And Jupyter Notebook preview How To Install Anaconda For Macos And Linux Users How To Install Anaconda For Macos And Linux Users How To Install Anaconda For Macos And Linux Users How To Install Anaconda For Macos And Linux Users How To Work With The Jupyter Notebook How To Work With The Jupyter Notebook How To Work With The Jupyter Notebook How To Work With The Jupyter Notebook Pandas Building Blocks 3 lectures 19:10 How To Work With The Tabular Data preview How To Read The Documentation In Pandas preview Pandas Resource Files Pandas Building Blocks 3 lectures 19:10 How To Work With The Tabular Data preview How To Read The Documentation In Pandas preview Pandas Resource Files How To Work With The Tabular Data preview How To Work With The Tabular Data preview How To Work With The Tabular Data preview How To Work With The Tabular Data preview How To Read The Documentation In Pandas preview How To Read The Documentation In Pandas preview How To Read The Documentation In Pandas preview How To Read The Documentation In Pandas preview Pandas Resource Files Pandas Resource Files Pandas Resource Files Pandas Resource Files Pandas Data Structures 1 lecture 05:43 Theory On Pandas Data Structures Pandas Data Structures 1 lecture 05:43 Theory On Pandas Data Structures Theory On Pandas Data Structures Theory On Pandas Data Structures Theory On Pandas Data Structures Theory On Pandas Data Structures Pandas Series 1 lecture 12:18 How To Construct The Pandas Series preview Pandas Series 1 lecture 12:18 How To Construct The Pandas Series preview How To Construct The Pandas Series preview How To Construct The Pandas Series preview How To Construct The Pandas Series preview How To Construct The Pandas Series preview Pandas DataFrame Object 1 lecture 13:00 How To Construct The Dataframe Objects Pandas DataFrame Object 1 lecture 13:00 How To Construct The Dataframe Objects How To Construct The Dataframe Objects How To Construct The Dataframe Objects How To Construct The Dataframe Objects How To Construct The Dataframe Objects Pandas Index Objects 3 lectures 38:25 How To Construct The Pandas Index Objects Practice Part 1 Practice Part 1 - Solution preview Pandas Index Objects 3 lectures 38:25 How To Construct The Pandas Index Objects Practice Part 1 Practice Part 1 - Solution preview How To Construct The Pandas Index Objects How To Construct The Pandas Index Objects How To Construct The Pandas Index Objects How To Construct The Pandas Index Objects Practice Part 1 Practice Part 1 Practice Part 1 Practice Part 1 Practice Part 1 - Solution preview Practice Part 1 - Solution preview Practice Part 1 - Solution preview Practice Part 1 - Solution preview Data Indexing and Selection 9 lectures 58:28 Theory On Data Indexing And Selection Data Selection In Series Part 1 Data Selection In Series Part 2 Indexers Loc And Iloc In Series Data Selection In Dataframe Part 1 Data Selection In Dataframe Part 2 Accessing Values Using Loc Iloc And Ix In Dataframe Objects Practice Part 2 Practice Part 2 - Solution Data Indexing and Selection rt 3 Practice Part 3 Practice Part 3 Practice Part 3 - Solution Practice Part 3 - Solution Practice Part 3 - Solution Practice Part 3 - Solution Data Handling 7 lectures 01:24:42 Theory On Data Handling How To Read The Csv Files How To Read Text Files In Pieces How To Export Data In Text Format How To Use Python's Csv Module Practice Part 4 Practice Part 4 - Solution Data Handling 7 lectures 01:24:42 Theory On Data Handling How To Read The Csv Files How To Read Text Files In Pieces How To Export Data In Text Format How To Use Python's Csv Module Practice Part 4 Practice Part 4 - Solution Theory On Data Handling Theory On Data Handling Theory On Data Handling Theory On Data Handling How To Read The Csv Files How To Read The Csv Files How To Read The Csv Files How To Read The Csv Files How To Read Text Files In Pieces How To Read Text Files In Pieces How To Read Text Files In Pieces How To Read Text Files In Pieces How To Export Data In...

Additional information

If you know basics of Python that is well and good Knowing any other programming knowledge will also helps Passion to learn Data Analysis, Data Science and Machine Learning Students must be willing to learn the Data Analysis with Python language Basic / intermediate experience with Microsoft Excel or another spreadsheet software Basic knowledge of data types (strings, integers, floating points, Booleans) etc

Data Analysis With Pandas

£ 20 VAT inc.