Get Latest Deals


Data Manipulation In Python




Python Professional Training


Job Aspirants


Regular Offline and Online Live Training


Week Days and Week Ends

Duration :

Fast Track and Regular 60 Days

Python What will you learn?

•Learn to build apps with Python.
•Learn Python proficiently in a structured fashion.
•You will know how to work with Python.
•Learn about each and every major Python component.
•You will know how to design Python from scratch.
•You’ll learn how to solve well known problems in Python.
•Understand and make use the new Features and Concepts in Python
•Learn Python – A super fun way to improve your programming skills
•Have an understand of Python and how to apply it in your own programs

data manipulation in python Course Highlights

•Post training offline support available
•Get Training from Certified Professionals
•Software & others tools installation Guidance
•Classes are Accessible on Website and Mobile Apps
•Assignments and test to ensure concept absorption.
•We provide you with your recorded session for further Reference
•We also provide Normal Track, Fast Track and Weekend Batches also for Working Professionals
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Python

• Mvc Developer, Mvc Lead, Java Developer(spring), Ui Developer, Ui Lead, Data Architect
•HPSM, HPAM, HP PPM, HPBSM, Python, SAP Apo, SAP APO DP, SAP APO SNP, Testing, HP DMA, SAP MM, Mainframe Developer, ETL Testing, JAVA Developer
•Java, Core Java, J2ee, Ui, Java Fullstack, Front End, Angularjs, Angular, React.js, Java Senior Developers, Java Developers, Java Lead, Ui Lead, Ui Developers
•Oracle DBA, Network Architect, Service Now Developer, Windows Admin, System Admin, BMC BPM, VM WARE, Linux Admin, Storage Admin, Project Manager (Data Center)
•UI/UX Architect, C#, Asp.Net, Javascript, CSS, Ajax, HTML, MS SQL, Azure, SugarCRM, Php, MVC, MYSQL, CodeIgniter, Android Developer, HTML5, CSS3, JQuery


•Who Am I? And how to get help
•BONUS: Learning Path
•Setting up python and editors
•Live Install
•Get the materials
•Dataset Basics
•Finding Datasets
•Jupyter Notebooks and Loading Data
•Pandas vs Numpy
•Creating DataFrames
•Saving and Serialising
•Inspecting DataFrames
•Visual exploration
•Introduction and super basic plots
•Pandas vs Matplotlib
•Visualising 1D distributions
•Visualising 2D distributions
•Styling Pandas Table outputs
•Higher dimension visualisations
•Basic Data Manipulations
•Introduction, Labelling and Ordering
•Slicing and Filtering
•Replacing and Thresholding
•Removing and adding data
•Apply, map and vectorised functions
•Introduction and motivation
•Basic grouping syntax
•Intelligent imputation
•Grouping aggregation
•Introduction and basic syntax
•Different types of merging
•Helpful merging functions
•Advanced Manipulation – MultiIndex, Pivoting and more
•Introduction and basic MultiIndexes
•MultiIndex II – MultiIndex Strikes Back
•Stacking and Unstacking
•Pivot Margins
•Time Series Data
•Introduction and the Datetime Index
•Rolling functions
•Time Zones
•A recap and a thank you
•Extra – Customising Jupyter Notebooks
•Extra – Chapter 2 Data Runthrough
•Extra – Chapter 3 Visualisation Runthrough
•Extra – Chapter 4 Basics Runthrough
•Extra – Chapter 5 Grouping Runthrough
•Extra – Chapter 6 Merging Runthrough
•Extra – Chapter 7 Advanced Runthrough
•Extra – Chapter 8 TimeSeries Runthrough