100% Discount || Data Science using Pandas (from basics)

Requirements
Python language
Description
The following topics are covered:

What is Data Science

How to get (real) stock data , how to plot data in Jupyter

SQL and MySQL interaction using Pandas

read csv file and do various operations. Stocks data is considered as example

write csv file and associated operations

Handling missing data,

Data filtering / Wrangling using Pandas

Group by support in Pandas

Concat support in Pandas

Merge of Dataframes

Pivot Table support in Pandas

Stack / Unstack support in Pandas

Reshape with Pandas

Cross Tab with Pandas

excel support

Time series Support for calendar ( Business Days, Holidays)

Time series Support for resampling, indexing time series data

Hands-on / Practical with various datasets like: stock /share data, weather data etc

Who this course is for:
Beginner Python developers, Data Science students, Students who have some exposure to data analytics
This course is meant typically for those who want to learn Data Science and who have some exposure to python programming, like freshers.