Vijay Gadhave
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 !!!
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
Instructor Details
Courses : 5
Specification: Python for Data Science and Data Analysis Masterclass: 2021
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18 reviews for Python for Data Science and Data Analysis Masterclass: 2021
Add a review
| Price | $9.99 |
|---|---|
| Provider | |
| Duration | 6.5 hours |
| Year | 2021 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$9.99
Vijay Sonawane –
explained in details, getting insight
Maisam Ali Akhone –
Awes0me
Sharuya Ravi –
This course was very good and informative
Monark Pawar –
Awesome
Ankit –
easy to understand,given example is easy to understad.simple
Kaushal Verma –
Excellent course and good learning
Charu Bhatia –
Its Good
Sujithra –
I’m a beginner in machine learning and also to numpy, pandas and matplotlib. This course is useful as it introduced me to those packages and now i got idea on plotting, visualization and analysis. Thank you!…
shubham kalihari –
good content
Uchendu Chinaza –
Great teaching
Muyisa Tsangya Patricien –
Good course with clear explanation! Keep the good work up.
Arvind Kumar M –
It was a really good course, the instructor explained it very calmly and in a good way. If the instructor can improve his pronunciation, it would be more appreciable. But overall good content.
Chinwe Ukaha –
Just what I needed.
Reginald Owusu Ansah –
This course has given me a general overview on how to apply python in data science
Paul Jeremy –
Good basic overview of Python and some key libraries. The course is pretty repeatative (adding labels, regenerating data each time etc), it would also be good to explain the attributes of a number of functions. Just refering to the matplotlib document wasn’t what I was suspecting. Anyway, it has reenforced my knowledge.
Avishkar sonawane –
its really easy to understand
Aswathy –
goof
Hannah Smith –
Not very easy to follow.