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Data Analysis With Pandas




Pandas Professional Course


All Job Seekers


Online and Offline Classes


Week Days and Week Ends

Duration :

30 to 45 days

Pandas Objectives

•How To resolve errors in Pandas.
•Learn how to use advanced Pandas functions.
•Learn Everything you need to know about Pandas!
•How to handle Pandas script and code in apps.
•Learn the Basic Concepts of Pandas with Practical Examples
•What is Pandas and How to Build apps using Pandas.
•Learn how to test your Go code with real world examples
•Students will have a solid understanding on how to create Pandas App.
•Get to know tips and tricks to work more quickly and effectively in Pandas.

data analysis with pandas Course Features

•Post training offline support available
•Exercises and handouts after every session
•Fast Track course available with best Fees
•Classes are Accessible on Website and Mobile Apps
•We Also provide Case studies for Online Training Courses
•Repeating of lectures allowed (based on seat availability)
•Every class will be followed by practical assignments which aggregates to minimum 60 hours.
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Pandas

•Big Data, E-commerce, Cloud Computing, Sap, Erp, Application Programming, Web Development
•Java Developer, Mainframes Developer, Sap Consultant, Qa, Network Operations, C++ Developer, Wintel Admin
•Magento, Java, Adfs, Mule Esb, Dell Boomi, Backend Developer, Sap Bo, Sap Apo, .Net, L2 Deveoper, Python Developer, Quality Assurance Engineering, Etl
•Protocol Testing, Php Developer, Oracle, Senior Managers, Oracle DBA, Dotnet, Java, oracle, DBA, Database Administration, 12c, RAC, Goldengate
•Software Developer, IBM MDM, QA, Business Anlaysit, Business Analyst, Software Engineer, Java, Informatica, DataStage, Project Mangement


Installation and Setup
•Introduction to the Course
•About Me
•Completed Course Files
•MacOS – Download the Anaconda Distribution
•MacOS – Install Anaconda Distribution
•MacOS – Access the Terminal
•MacOS – Create Conda Environment and Install Pandas
•MacOS – Unpack Course Materials + The Start and Shutdown Process
•Windows – Download the Anaconda Distribution
•Windows – Install Anaconda Distribution
•Windows – Create a New Conda Environment and Install Pandas
•Windows – Unpack Course Materials + The Startdown and Shutdown Process
•Intro to the Jupyter Notebook Interface
•Cell Types and Cell Modes
•Code Cell Execution
•Popular Keyboard Shortcuts
•Import Libraries into Jupyter Notebook
•Python Crash Course, – Data Types and Variables
•Python Crash Course, – Lists
•Python Crash Course, – Dictionaries
•Python Crash Course, – Operators
•Python Crash Course, – Functions
•DataFrames II: Filtering Data
•DataFrames III: Data Extraction
•Working with Text Data
•Merging, Joining, and Concatenating
•Working with Dates and Times