An End-to-End Project on Time Series Analysis and Forecasting with Python

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End-to-end Data Analytics Projects

End-to-end projects are great for your resume and understanding of the data analytic project life cycle.

In general, you will be:

  1. Dealing with multiple datasets
  2. Understanding the data distribution
  3. Applying data cleaning and manipulation
  4. Applying probability and statical techniques
  5. Performing data analysis and visualization
  6. Using machine learning model for predictive analysis
  7. Creating the report or dashboard

17. Analyzing Unicorn Companies

In the Analyzing Unicorn Companies project, you’ll use SQL to explore unicorn companies valued at over $1 billion. You’ll analyze which industries have the highest valuations and identify emerging trends, such as the yearly growth of new unicorns between 2019 and 2021.

18. Monitoring a Financial Fraud Detection Model

In the Monitoring a Financial Fraud Detection Model project, you’ll take on the role of a post-deployment data scientist for a major UK bank. Using Python, you’ll monitor the performance of a fraud detection model and investigate why it may not be working as expected, ensuring the safety of customers’ finances.

19. An End-to-End Project on Time Series Analysis and Forecasting with Python

In the Time Series Analysis and Forecasting project, you will dive deep into analyzing the trends, apply the ARIMA model for forecasting, compare the results, and visualize the results to understand the sales for both furniture and office supplies.

Time-series analysis and forecasting projects are in high demand in financial sectors, and they will help you land a high-paying job. The only thing you need to do is to interpret various trends and accurately forecast the numbers.

Note: financial analysis and forecasting is a high-paying job, but it is the hardest job too.

An End-to-End Project on Time Series Analysis and Forecasting with Python Project

Image from the project

If you are struggling to analyze and forecast, try completing ARIMA Models in Python course to learn about ARMA models, fitting the future, selecting the best models, and training seasonal ARIMA models.

Published by Henry