Time Series with Python Traineeship is a self paced 4 week Industrial Training program with mentorship support.
Time series data is one of the most common data types and understanding how to work with it is a critical data science skill if you want to make predictions and report on trends. In this track, you’ll learn how to manipulate time series data using pandas, work with statistical libraries including NumPy and statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and seaborn. You’ll then apply your time series skills using real-world data, including financial stock data, UFO sightings, CO2 levels in Maui, monthly candy production in the US, and heartbeat sounds. By the end of this Internship/Training, you’ll know how to forecast the future using ARIMA class models and generate predictions and insights using machine learning models.
⇩ What we cover in 4 weeks.
Week 1 – 3
Manipulating Time Series Data in Python
Time Series Analysis in Python
Visualizing Time Series Data in Python
ARIMA Models in Python
Machine Learning for Time Series Data in Python
Certificate of Completion
Letter of Recommendation
Complete this course while you work
Rigorous curriculum designed by industry experts
Best performers will also be offered a job within the company.