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

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

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Update : New section on Data visualization library  Matplotlib and Seaborn added.

Update : New section on Numpy Library get added.

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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 demand 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