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Time Series Analysis with Python

Learn how to work with time series data to make predictions and report trends. Modal  - A better way to learn technical skills.
When
October 14, 2024 - November 24, 2024
Registration closes on October 3, 2024
Course Tuition
$1,950
Want to take more than one course? Send an email to support@modal.com to buy our 1-year subscription for $3,900.
No Up-front Payment
Modal now offers a deferred direct bill payment option for Booz Allen employees.
Learn more
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).

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.
NEED HELP DECIDING?
Book time with a learning expert.

A Typical Week

Monday
Self Study
Kick-off new topic with self-study & online learning
  • Coaches support learners hitting roadblocks
  • Manager check-in to bring learning into company context
Tuesday
Wednesday
Labs
Learning material leads into practice environment & labs
  • Coaches support learners hitting roadblocks
  • Pair programming to bring learning into company context
  • Community allows students to help each other
Thursday
Live Event
Interactive live session hosted by Coaches
  • Community allows students to help each other
  • Community Groups host expert AMAs & guided community discussions
Friday
Projects
Work on a weekly project
  • Community allows students to help each other
  • Group projects
  • Coaches support learners hitting roadblocks
Saturday
sunday
Work at your own pace
Expert coaching and actionable feedback from Coaches
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    Course Schedule

    Live Sessions every
    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.

    Why Modal?

    Projects & Practice
    Real world exercises contextualize learning in real-world context.
    On-Demand Coach Support
    You are never alone. Coaches are always present and can help you!
    Live Sessions
    Hear from guest speakers and expert instructors through engaging lectures.
    Technical Labs
    Technical Labs
    Hands-on labs allow you to play with new tools and concepts to build real skills.
    Modal Community
    Community of Peers
    You will be part of a learning community were support is abundant.
    Asynchronous Learning
    Asynchronous Learning
    Self-paced learning is scheduled for each learner, with a dashboard to help you keep on track.

    Other Courses

    “I love the quantity & quality of learning materials, the interactivity, the live sessions, the coaches, are invaluable. I can really feel the difference in the level of engagement that Modal has to every participant compared to an ordinary course."

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    - Veselina Stoyanova - Reporting Analyst, EMAG

    Learn more about FlexEd

    We are excited that Modal now offers a deferred direct bill payment option for Booz Allen employees.

    The deferred direct bill payment option enables employees to enroll in learning opportunities with no upfront costs. This payment option will require the employee to sign a Family Educational Rights and Privacy Act (FERPA) agreement with Modal to release grades/completion to Booz Allen to satisfy the FlexEd Program completion requirement.

    Note, Modal may also be used for the FlexEd Program reimbursement payment option. See the full FlexEd Program Policy & FAQs.
    Learn more about FlexEd
    Coming Soon!
    Check back in a few weeks or reach out to support@modal.io if you have questions.
    Need help? Contact us