Data Analysis & Programming using Python & Pandas

Hello Everyone.Nice to see you here.

This course gives you the strong foundation in Python programming and the most important libraries in Python for Data Science which are Pandas, Matplotlib and Numpy.

The course is designed in a bottom-up strategy where the emphasis is on building the concepts from foundational to more advanced.The advantage is that the learner at all the times is able to rely on his/her previously learned concepts.You will start with learning the core programming principles in python-conditionals,loops,nested loops,data structures,functions etc.You will also learn about Object Oriented Programming.Then you will learn about Pandas,Numpy and Matplotlib libraries.Here you will have the opportunity to practice on a variety of real life datasets and will learn  to draw important conclusions from them.You will learn to import the datasets in pandas,perform preliminary investigation on the datasets,perform data manipulation-filtering the data,applying the concepts of grouping,merging two or more dataframes,applying the concepts of date-time.Then you will get the opportunity to perform advanced data analysis where you learn about advanced pandas functions and their applications,using mathematical concepts of Venn diagram to analyse the data and much more.Then you will learn data visualisation using the matplotlib library.At last you will also learn to create Object Oriented Design Architecture with Python and  Pandas.

At the end of each section,you will practise a variety of problems to gain a strong grasp over all the concepts.

It is designed for all the skill levels-whether beginner, intermediate or advanced and even if you have no Computer Science  or Statistical background,you will complete this course successfully.

I am confident that you will enjoy this journey