Python for Data Analysis and Visualization Bootcamp

What you'll learn
Use the numpy library to create and manipulate arrays.
Use the pandas module with Python to create and structure data.
Create data visualizations using matplotlib and the seaborn modules.
Customize graphs, modifying colors, lines, fonts, and more
Load data from files or from internet sources for data visualization.
Learn Data Visualisation by Plotly and Cufflinks.
Create a variety of charts, Bar Charts, Line Charts, Stacked Charts, Pie Charts, Histograms, KDE plots, Violinplots, Boxplots, Auto Correlation plots, Scatter Plots, Heatmaps
Learn Data Analysis by Numpy.
Learn Data Analysis by Pandas.

Requirements
Have an intermediate skill level of Python programming.
Have a computer (either Mac, Windows, or Linux)
Desire to learn!
Description
Are you ready to start your path to becoming a Data Scientist!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $110,000 in the United States and all over the World according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 75 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course!

We'll teach you how to program with Python, how to create amazing data visualisations with Python!

Here a just a few of the topics we will be learning:

Programming with Python

NumPy with Python

Using Pandas Data Frames to solve complex tasks

Use Pandas to handle Excel Files

Use Matplotlib and Seaborn for data visualisations

Use Plotly and Cufflinks for interactive visualisations

and much, much more!

By the end of this course you will:

Have an understanding of how to program in Python.

Know how to create and manipulate arrays using numpy and Python.

Know how to use pandas to create and analyze data sets.

Know how to use matplotlib and seaborn libraries to create beautiful data visualization.

Have an amazing portfolio of example python data analysis skills!

Enroll in the course and become a data scientist today!

Who this course is for:
Anyone interested in learning more about python, data science, or data visualizations.
Anyone interested about the rapidly expanding world of data science!
Developers who want to work in analytics and visualization project.