Time Series Trainee

Time Series with Python Traineeship is a self paced 4 week Industrial Training program with mentorship support.

Program Description

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

Week 4

Capstone Project

Program Benefits

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.

Job Category: Data Science
Job Type: Traineeship
Job Location: Remote

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