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Python for Data Science and Data Analysis Masterclass: 2020


 

Python for Data Science and Data Analysis Masterclass: 2020
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.11 GB
Genre: eLearning Video | Duration: 49 lectures (6 hour, 39 mins) | Language: English


Learn Python for Data Science, Machine Learning, Deep Learning & Data Analysis, Hand's on NumPy, Pandas and Matplotlib !


What you'll learn

Python for Data Science and Data Analysis
Complete Understanding of Python from Scratch
NumPy for Numerical Data
NumPy Array, NumPy Operations
Pandas for Data Analysis
DataFrames, Pandas Series, Pandas Matrix
Working on Missing Data, Reading and Writing Files
Matplotlib for Data Visualization
Seaborn for statistical visualization
Plotly for Collaborative, web-based graphing and analytics
Data Visualization with Pandas


Requirements

No Prior Knowledge or Experience Needed, Only a Passion to Learn !

Description

Hello Data Scientist,

Welcome to this course, on Python Programming !


In this course we will learn,

1) Complete understanding of Python from Scratch

2) Python for Data Science, Data Analysis and Visualization

It is the Most Comprehensive and Straight-Forward Course to build a solid foundation for Data Science and Data Analysis


List of the Topics that you will learn,

1) Python Crash Course:

Part 1: Data Types

Part 2: Python Statements

Part 3: Functions

Part 4: Object Oriented Programming (OOP)

2) Data Analysis with numPy :

NumPy array, Indexing and Selection, NumPy Operations

3) Data Analysis with pandas :

DataFrames, Series, Matrix, Working on missing data, Reading and Writing files

4) Data Visualization with matplotlib :

Amazing visualization library in Python for 2D plots of arrays


Learn Python Programming to advance your Career and increase your knowledge in a fun and practical way !!!


Regards,

Vijay Gadhave

Who this course is for:

Beginners who have Never Programmed in Python Before
Data Science, Machine Learning Aspirants who want to start with Python


 


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