Python For Data Analyst

DATA ANALYSIS WITH PYTHON COURSE OVERVIEW

Python will be used for Analyzing Data , also will take you from the very beginnings of Python to the exploration of a variety of data forms. You’ll discover how to prepare data for analysis, conduct basic statistical analysis, create meaningful data visualizations, forecast future trends from data. Learn how to work with a sample dataset such as Pandas, Numpy, and Scipy libraries. Showing you how to load, manipulate, analyse, and visualize interesting datasets using pandas, an open-source library, and how to use scikit-learn, an open-source library, to build smart models and cool predictions using machine learning algorithms. As well as Python For Data Analysis will take you from the basics of Python to exploring many different types of data. In conclusion, You’ll learn how to prepare data for analysis, conduct basic statistical analysis, construct useful data visualizations, forecast future trends from data, and more!

Take Python For Data Analysis Program to turn your skills to the next level.

AUDIENCE

• Anyone who wants to learn more about python, data science, or data visualization.
• Also anyone with an interest in the increasingly growing field of data science.

KEY BENEFITS

1. Surely have a basic understanding of Python programming.
2. In addition, understanding how to use numpy and Python to create and manipulate arrays.
3. Another benefit is to be able to generate and analyse data sets using pandas.
4. You can also make stunning data visualizations using the matplotlib and seaborn libraries.
5. Moreover, Have a fantastic portfolio of python data analysis projects.
6. Finally, Be familiar with Machine Learning and SciKit Learn.

DATA ANALYSIS WITH PYTHON COURSE OUTLINE

1. Preparing Your Working Environment
   
2. Knowing Your Data
   
3. Drawing Your First Plots and Customizing Them
   
4. More Plots and Customization
   
5. Making 3D Visualizations
   
6. Plotting Charts with Images and Maps
   
7. Using Right Plots to Understand Data
   
8. More on matplotlib Gems

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