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Python For Data Science And Data Analysis Masterclass 2020

Course

PYTHON FOR DATA SCIENCE AND DATA ANALYSIS MASTERCLASS 2020

Category

Python and Data Science Online Training

Eligibility

Job Aspirants

Mode

Both Classroom and Online Classes

Batches

Week Days and Week Ends

Duration :

1.5  hrs in weekdays and 3hrs during Weekend

Python and Data Science What will you learn?

•Basic to Advance concepts of Python and Data Science
•You will learn how to install Python and Data Science.
•Learn how to integrate and customize Python and Data Science code.
•How to apply the Python and Data Science rules in different situations.
•Learn while you build rich interactive applications with Python and Data Science
•Become a Python and Data Science Certified Developer! Learn all Python and Data Science Developer topics
•Students will learn the core concept of making Real Life Project
•Learn the core fundamentals of Python and Data Science to fast-track your development process
•Learn the essential skills to level-up from beginner to advanced Python and Data Science developer in 2021!

python for data science and data analysis masterclass 2020 Training Features

•Get job-ready for an in-demand career
•Course delivery through industry experts
•We assist on Internship on Real-Time Project 
•Our Trainers with 15+ years of teaching Experience
•Assignments and test to ensure concept absorption.
•We provide you with your recorded session for further Reference
•Flexible group timings to admit freshers, students, and employed professionals
•We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts

Who are eligible for Python and Data Science

•C, asp.net vb.net c# c c++, Java Developer, Php Developer, dot net c# asp.net vb.net
•Java Developer, java j2ee jsp servlets ejb, plsql, Unix Scripting, c, c++, dotnet
•JSF, hibernate, spring, Java SE 6 Developer, Sun Certified Developer for Java 2 Platform / Oracle Certified Master, html
•Object Oriented Programming, Cloud Computing, Java, Testing, Web Designing, Design, Front End, Javascript, It Infrastructure, Software Development, Support
•Software Development, Big Data, Hadoop, Spark, Hive, Oozie, Big Data Analytics, Java, Python, R, Cloud, Data Quality, Scala, Nosql, Sql Database, Core Java

PYTHON FOR DATA SCIENCE AND DATA ANALYSIS MASTERCLASS 2020 Topics

Welcome to the Course !
•Introduction
•Introduction to Google Colab
•Links to Python Notebooks
•Python Crash Course Part 1: Data Types
•Data Types Introduction
•Numbers
•Strings Part 1 – Basics
•Strings Part 2 – Indexing and Slicing
•Strings Part 3 – Properties and Methods
•Strings Part 4 – String Formatting
•Lists
•Dictionaries
•Tuples
•Sets
•Booleans
•Python Crash Course Part 2: Python Statements
•If, Elif and Else
•For loop
•While Loop
•Useful functions in Python
•Python Crash Course Part 3: Functions
•Functions Part 1
•Functions Part 2
•*args and **kwargs
•Map, Filter and Lambda Expression
•Python Crash Course Part 4: Object Oriented Programming (OOP)
•Introduction of Object Oriented Programming
•Class and Attributes
•Methods
•Inheritance
•Data Analysis with Numpy
•Introduction to NumPy
•Numpy Arrays Part 1
•Numpy Arrays Part 2
•Numpy Arrays Part 3
•Numpy Indexing and Selection Part 1
•Numpy Indexing and Selection Part 2
•Numpy Operations
•Data Analysis with pandas
•Pandas Introduction
•Pandas Series
•DataFrames Part 1
•DataFrames Part 2
•DataFrames Part 3
•Missing Data
•Groupby Method
•Merging, Joining and Concatenating DataFrames
•Pandas Operations
•Reading and Writing Files in Pandas
•Data Visualization with matplotlib
•Matplotlib Part 1 – Functional Method
•Matplotlib Part 1 – Object Oriented Method
•Matplotlib Part 2 – Subplots Method
•Matplotlib Part 2 – Figure size, Aspect ratio and DPI
•Matplotlib Part 3
•Matplotlib Part 4
•Python Crash Course : Data Types
•Python Crash Course : Python Statements
•Python Crash Course : Functions
•Python Crash Course : Object Oriented Programming (OOP)