Learn Data Analysis using Pandas and Python (Module 2/3) – Free Udemy Courses

Are you completely new to Data science?

Have you been hearing these buzzwords like Machine learning, Data Science, Data Scientist, Text Analytics, and Statistics and don’t know what this is?

Do you want to start or switch your career to Data Science and analytics?

If yes, then I have a new course for you. This is module # 2 of the Data Science series. In this course, I cover the absolute basics of data analysis and manipulation techniques using Pandas. This course will not cover every syntax available in Pandas but will take you to a level where you can do basic to intermediate data analysis, before proceeding toward feeding it to a data science algorithm.

If are you new to data science, I would recommend you to please take Module # 1(Introduction to Data Science using Python) before starting this course. We will go through commonly used terms and write plenty of code in Python. I spend some time walking you through different career areas in the Business Intelligence Stack, where Data Science fit in, What is Data Science and what tools you will need to get started.

I will be using Python and Pandas in a series of such courses. I am not assuming any prior knowledge in this area. I have given some reading materials, which will help you solidify the concepts that are discussed in this lecture.

This course will be the second data science course in a series of courses. Consider this course as a 101-level data manipulation course, where I cover enough to raise your curiosity in the field of Data Science and Analytics.

The other modules will cover more complex concepts.