Complete Data Analysis with Pandas : Hands-on Pandas Python

Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python


What you'll learn
Update your resume with one of the in demand skill : Data analysis Pandas
Setting up Python in anaconda environment
Refresh Python basics with crash course
Learn Most demanded python data analysis library : Pandas
Three important data structure of pandas : Series, Data Frame, Panel
Learn how to analyse one, two and three dimensional data
How to group Data for analysis
How to deal with Text Data with Pandas Functions
Analyse data having multiple level index.
Array and Matrix manipulation Library NumPy
Master pandas with quizzes.
Data Visualization Matplotlib and Seaborn Library
Importing data from various different kinds of sources
Complete Machine Learning work flow implementation with Scikit-learn



Requirements
Windows/Linux/MAC machine
Basic idea about Programming concepts

Description
JOIN OTHER 40,000 SUCCESSFUL STUDENTS WHO HAVE ALREADY ENROLLED & MASTERED PYTHON & PANDAS SKILLS (DATA ANALYSIS LIBRARY) WITH ONE OF MY BEST SELLING, TOP RATED COURSE.
Student Testimonial :
Great going, ankit is
good at explanation
of data processing stuff. i bought many of his course related to python and machine learning. - Jay
Every concept is
clearly explained
and the tutor of this course
replies
to every question asked in
Q&A section
. - Mukka Akshay
It was very good session. The instructor has enough
knowledge
and able to make me understand clearly. Thank you Ankit! - Bibek Baniya
This is an amazing course if you want to understand the extent of the
power of Pandas
. - Venkat Raj
It's one of the
best course
!!! Most of the topics has been covered and explained up to the expectation - Ankur SIngh
it is a good match with what i was looking for, the instructor is quite
knowledgeable
. - Shivi Dhir
This class is not too fast or too slow, the way
he teaches is perfect.
- Frankie Y
It is
excellent
- Rakhshee Misbah
good
experience - Weiting
–––––––––––––––––––––––––––––––––––––––––––––––––––––-
Update : New section on Data visualization library
Matplotlib
and
Seaborn
added.
Update
: New section on
Numpy
Library get added.
–––––––––––––––––––––––––––––––––––––––––––––––––––––-
If you want to master most in-demand data analysis library pandas, carry on reading.
Hi, I am Ankit, one of the
Best Selling
author on Udemy, taught various courses on Data Science, Python, Pandas, PySpark, Model Deployment.
By the end of this course, you will able to apply all majority of Data analysis function on various different datasets with built in function available in pandas. Analysis techniques like exploratory data analysis, data transformation, data wrangling, time series data analysis, analysis through visualization and many more. Carry on reading to know more about course.
The era of
Microsoft Excel
is going to be over, so would you like to learn the next generation one of the
most powerful
data processing tool and
in deman
d skill required for data analyst, data scientist and data engineer.
Then this course is for you, welcome to the course on
data analysis with python's most powerful data processing library Pandas
.
Why this course?
Data scientist
is one of the
hottest skill of 21st century
and many organisation are switching their project from
Excel to Pandas
the advanced Data analysis tool .
This course is basically design to get you started with Pandas library at
beginner level
, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at
advanced level
.
What is this course?
This course covers
Basics of
Pandas
library
Python
crash course for any of you want refresh basic concept of python
Python
anaconda
and Pandas installation
Detail understanding about two important data structure available in a Pandas library
Series
data type
Data frame
data type
How you can
group
the data for better analysis
How to use Pandas for
text processing
How to visualize the data with Pandas inbuilt
visualization
tool
Multilevel
index in Pandas.
Time series
analysis
Numerical Python :
NumPy
Library
Matplotlib and
Seaborn
for Data visualization
Machine Learning Theoretical background
Complete end to end Machine Learning Model implementation with
Scikit-learn
API
(from Importing Data to Splitting data,
Fitting
data and Evaluating Data) & How to Improve
Machine Learning
Model
Importing Data from various different kind of file
You will get following after enrolling in this course.
150+ HD quality
video lecture
16+ hours
of content
Discussion
forum
to resolve your query.
quizzes
to to test your understanding
This course is still in a draft mode. I am still adding more and more content, quiz, projects related to data processing with different functionalities of Pandas. So stay tuned and enroll now.
Regards
Ankit Mistry
Who this course is for:
Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
Anyone who want to make career in Data Science, Data analytics
Anyone wants to learn data analysis with python language
Excel user who wants to enhance data analysis skills.

More Info