Gain insights into performing predictive data analysis using Python. Learn about tools like NumPy, Pandas, Matplotlib, and Seaborn, and applying techniques to real-world financial and advertisement projects.

seaborn.tar.gz

seaborn

In this course, you will learn how to perform predictive data analysis using Python. The ideal audience is those who want to start their careers as data analysts. The main goal of this course is to show you how to use statistics to draw useful insights from data which can help in predicting future behavior or patterns.

Beyond that, you’ll learn all the tools of the trade that data scientists use everyday including: NumPy, Pandas, Matplotlib, and Seaborn. You’ll learn not only how to extract meaningful insights from data, but you’ll also learn how to create stunning visualizations that you can use for reports.

Various datasets of real-world scenarios are used in each lesson to get you accustomed to handling any type of data. At the end of the course, you will work on two real-world projects that demonstrate how data analysis techniques are being used in the financial and advertisement sector to generate revenue.

Predictive Data Analysis with Python

# Next step
Now that you have a grip on the concepts of data analysis, the next step would be to polish these skills even more. Try solving more real-world problems to learn how different companies use data analysis techniques to earn profits from their data.

Read extensively through the following links to get more knowledge about this:

* [Breaking into data](https://www.data-mania.com/blog/guide-to-breaking-into-data/)

* [Understanding the data](https://software.intel.com/articles/data-science-is-an-ocean-of-information-stay-focused?cid=em-elq-29785&utm_source=elq&utm_medium=email&utm_campaign=29785&elq_cid=3557344)

* [Data related projects](https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/)
 
Moreover, machine learning and advanced data mining techniques can also be used to make accurate predictions about data.

# Final thoughts
Thank you for taking this course! We hope that you have gained an in-depth and working knowledge of how useful insights can be extracted using data analysis techniques.

To give any suggestions or comments, feel free to drop us an email or comment on the community forum.

— Team Educative

Getting Started

Numpy for Python

Pandas for Python

Statistics for Data Analysis

Data Wrangling

Visualizing the Data

Data Scraping

Project #1

Project #2

Conclusion

Predictive Data Analysis Exam

What's Next?

Next step