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.
Ankit Mistry and Data Science & Machine Learning Academy