Udemy Data Analysis Using Python Libraries

Basic Python Libraries

Description​

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as reading and manipulating csv files, and the NumPy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as group by, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
The main objective of the Course is to train the participants in accessing the data from various domains.
Requirements
· You should already have anaconda navigator(anaconda3) installed in PC or Laptops.
· Python Programming will be done on IDE (jupyter notebook). Tutorial to install jupyter notebook will be given in the beginning.
Course Objectives
1. Introduction to Python and its Libraries
2. Working with NumPy and its attributes
3. Python Pandas and Descriptive Statistics
4. Data Visualization with Matplotlib with all Pyplot Functions
5. SciPy Library and all related functions
6. Implementation of All Libraries on Data Set
After going through the course You will have knowledge of Python Basis Libraries that are needed to do the data analysis.

Who this course is for:​

• Beginner Python Developers curious for data science