Course information

Pandas for Data Analysis Training Course Outline

Module 1: Introduction and Installation

  • Define Pandas
  • Installing Pandas
  • Running Test Suite
  • Dependencies

Module 2: Getting Started with Pandas

  • Package Overview
  • Exploring Panda
  • Essential Basic Functionality
  • Comparison with Other Tools

Module 3: User Guide

  • IO Tools
  • Indexing
  • Merge, Join, and Concatenate
  • Reshaping and Pivot Tables
  • Working with Text Data, Missing Data, and Categorical Data
  • Nullable Integer Data Type
  • Computational Tools
  • Group By: Split-Apply-Combine
  • Time Series and Time Deltas
  • Stylings
  • Options and Settings
  • Enhancing Performance
  • Sparse Data Structures

Module 4: Pandas Ecosystem

  • Statistics and Machine Learning
  • Visualization
  • IDE
  • Extension Data Types

Module 5: Development Phase

  • Extending Pandas
  • Storing Pandas DataFrame Objects in Apache Parquet Format

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Who should attend this Pandas for Data Analysis Training Course?

The Pandas for Data Analysis Course in Hyderabad aims at equipping learners with the knowledge and skills to manipulate, analyze, and visualize data using the Pandas library in Python. The following professionals can benefit greatly with this course:

  • Data Analysts
  • Data Scientists
  • Business Analysts
  • Researchers
  • Statisticians
  • Data Engineers
  • Machine Learning Engineers

Prerequisites of the Pandas for Data Analysis Training Course

There are no formal prerequisites to attend Pandas for Data Analysis Course. However, a basic knowledge of programming can be beneficial in this Data Science Course.

Pandas for Data Analysis Training Course Overview

In the realm of data science, Pandas course in Hyderabad stands as a beacon of efficiency and versatility. This open-source Python library offers high-performance tools for data analysis and data structure manipulation. With its extensive capabilities, Pandas has become indispensable in various fields, including statistics, economics, and analytics.

Data scientists, analysts, economists, and anyone dealing with data in Python can greatly benefit from mastering this versatile library. Pandas simplifies data manipulation tasks, allowing professionals to clean, transform, and analyze data efficiently. In an era where data quality and speed are essential, Pandas course in Hyderabad empowers professionals to make informed decisions, extract valuable insights, and drive business success.

Over the course of this intensive 2-day training by the Knowledge Academy in Hyderabad, delegates will embark on a comprehensive journey through Pandas and its data structures. They will gain a deep understanding of how to work with various data types, including text, missing, and categorical data, enabling them to handle diverse datasets effectively. Delegates will also explore essential Pandas operations such as merging, joining, concatenating, reshaping, etc.

Course Objectives

  • To master Pandas data structures and operations
  • To efficiently handle text, missing, and categorical data
  • To explore essential Pandas functions for merging, reshaping, and pivot tables
  • To acquire data visualization skills and utilize integrated development environments
  • To understand data validation practices and work with extension data types
  • To gain proficiency in storing Pandas Data Frame objects in Apache Parquet format

Upon completion of this course in Hyderabad, delegates will benefit from enhanced proficiency in data analysis using Pandas. They will be equipped with the skills to efficiently manipulate diverse datasets, perform essential Pandas operations, and utilize data visualization techniques. This training will empower participants to apply Pandas effectively in their roles, making data-driven decisions with confidence and contributing to the success of their organizations.

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What’s included in this Pandas for Data Analysis Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Pandas for Data Analysis Certificate
  • Digital Delegate Pack

Why choose us

Our Hyderabad venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hyderabad is situated along the Musi River, and is the capital city of Andhra Pradesh and Telangana. City of pearls as the city is otherwise known, as for its pearl and diamond trading centre, it is the fourth most populated city within India and is home to around 6.8 million people as well as having a metropolitan population of around 7.75 million. The city which was established in 1591 has two main land marks, which are the Golconda and the Charminar which represents the history of Hyderabad. There are eleven universities within Hyderabad, six of which are owned by the state, three are deemed universities and the other two are central universities. The universities and institutions include an English and Foreign Languages University, NIFT Hyderabad, University of Hyderabad, Tata Institute of Social Sciences, Indian School of Business, National Academy of Construction and IIT Hyderabad all of which offer a wide range of different courses. However before students go off to do a degree within technology, construction, social science, engineering or international management, students must complete secondary schools and colleges, which include the Indus world school, Modern High School, St George’s Grammar school, the Meridian school, as well as international schools such as the Chirec International school which offers education from pre-primary to secondary school and offers students the opportunity to gain A and O levels, CBSE, IGCSE and CBSE.

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Address

M.S.Towers, Road No.1 &10, 

500034, 

Hyderabad, 

India

T: +91 8037244591

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Pandas For Data Analysis Training in Hyderabad. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Pandas For Data Analysis Training in Hyderabad, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Pandas For Data Analysis Training in Hyderabad. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Pandas For Data Analysis Training in Hyderabad sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Pandas For Data Analysis Training in Hyderabad FAQs

Please arrive at the venue at 8:45am.
There are no prerequisites to attend this course. However, a basic knowledge of programming would be beneficial.
Anyone wishes to develop their knowledge and skillset on python libraries can attend this course. This course is beneficial for those who want to make a career in data science and data analytics.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Pandas for Data Analysis Trainingin Hyderabad starts from INR39995
The Knowledge Academy is the Leading global training provider for Pandas for Data Analysis Training.
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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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