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Time Series Analysis with Python

Learn how to work with time series data to make predictions and report trends.
Who Is This For?

Data Analysts interested in analyzing time series data.

Any prerequisites?

Statistics

  • Comfortable with statistical concepts such as linear regression and correlation.
  • Comfortable visualizing data (histograms, scatterplots).

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Python

  • Familiarity with Python libraries such as Pandas and NumPy for data manipulation tasks.
What will I be able to do after this Course?
  • Clean and manipulate time series data to enable accurate modeling.
  • Create and evaluate time series models.
  • Conduct end-to-end analysis on time series data, including building ARIMA models and evaluating their fit to improve forecast accuracy.
Reimbursement FAQ

Course Overview

Sprint 1: Time Series Data Fundamentals
Do cherry prices affect sales of pie crusts? Start by exploring the relationship between two sets of time series data: data on the price of cherries, and data on the volume of pie crusts sold. Your job is to figure out if these two time series appear to be related such that more detailed analysis can be done later.
Sprint 2: Time Series Modeling
What is the relationship between cherry price and volume of pie crusts sold? Is it positive or negative? How long is the lag, if any? What model best explains the relationship? You’ll conduct your analysis and write up your results to demonstrate your skills.
Sprint 3: Tying It All Together
Put all your skills together. Given two datasets – one on the price to produce energy, the other on the volume of energy used by customers – conduct a full analysis of the relationship between the two time series datasets. Start with EDA and some basic plotting, run and evaluate some ARIMA models, and finish up with a written explanation of your findings.

What’s in a Modal course?

1:1 Coaching
Receive personal guidance, instruction, and motivation from real, practicing industry experts.
Real-world simulations
Practical coursework blends simulated and real-world projects, ensuring you are building job-ready skills.
Integrated code editor
In-browser coding environment mitigates challenges while enabling paired programming and inline feedback.
Structure & flexibility
Engage with content when your schedule allows. Our assignments and deadlines help you stay on track and our coaches keep you accountable.
Individual guidance
Courses for a variety of career goals, skill needs, and company objectives, ensuring learning is both relevant and productive.
Capstones projects
Challenging and satisfying capstone projects allow you to demonstrate the skills you’ve learned, while reinforcing collaboration and business skills.

Meet our coaches

Linda Liu
Director, Data Science & Analytics

Working with the learners makes it an incredibly rewarding journey. The shared excitement and collaborative growth highlight the entire fulfilling coaching experience!

Nataliia Maksimova
Director, Business Intelligence

It's incredibly inspiring to introduce people to the fascinating world of data. Sharing my passion for data and showing that it's not just dry numbers but a creative field where you can grow and innovate is deeply rewarding.

Udit Mehrotra
Senior Data Scientist

Seeing the growth in my learners is not only heartening but also assuring because I know I had a significant role to play in shaping their journey.

Interested in buying multiple seats for your team?
Contact us