Analytics Jumpstart

This class is live online (i.e. synchronous).

Are you curious about data analytics?

Have you started exploring data on your own but want to find out if you’re on the right track? Are you considering a career change and want to see what working on an analytics project is like? Would basic knowledge of analytics and tools like using Python in a Jupyter Notebook be helpful in your current career? If you are looking for a hands-on introduction to data analytics and want to demystify analytics and data science, the Data Analytics Jumpstart was created for you.

Is this course for you?

  • You are evaluating whether a career in data analytics is right for you and want to explore your options.
  • You are considering the data analytics bootcamp.
  • You want to add Python and/or Jupyter Notebooks to your personal skill set.
  • You have the statistical background for data science, but want to give coding a try.

    • What will the course cover?

    The Data Analytics Workflow

    You will learn about the data analytics workflow and have hands-on exposure to many parts of it, including collecting, cleaning, merging data, exploratory data analysis, communicating, visualizing, and sharing findings.

    • Python
      Learn the basics of data analysis with Python, a widely used programming language in analytics. This course will introduce you to a few analytics libraries that are useful for data analytics and data visualization, e.g. pandas, matplotlib, and seaborn.
    • SQL
      Use Structured Query Language to select data from a database.
    • Reproducible Workflow with Jupyter Notebooks
      Jupyter Notebooks are widely used by data analysts and data scientists to document and share their analysis work. Learn to use markdown and code in combination to document and share your workflow. This adds transparency to your work and strengthens your analysis.
    • Analytics Careers
      Learn about the kinds of jobs that are available in data analysis and data science. Learn about the different types of analytics and how they are used in different domains to answer questions and solve problems.
    • Exploratory Data Analysis
      Learn techniques for getting to know your data quickly, generating summary statistics and creating plots to show distributions, relationships between variables, and more.
    • Data Visualization & Storytelling
      You will get practice communicating your analysis process and findings to non-technical audiences, an essential skill for data analysts and data scientists.

    How will you learn the material?

    Live Online Instruction
    Introduction to new topics will be covered by instructors who are working analytics professionals. They will cover topics through a combination of live lecture and live-coding.
    Mentored Exercises
    Apply your understanding of these new topics by doing, but don’t worry, you’ll have access to instructors if/when you need guidance.
    Real-world Project
    You will practice the skills you learn by exploring data to answer real-world questions.
    Materials To Keep You Going
    Whether you continue your journey with self-study, or take the next steps to pursue a career in analytics, we'll give you guidance on how to continue learning and building your skills after the end of the course.
    What is required?
    • Personal Laptop (No Chromebooks please. You will need at least 5GB of free hard drive space.)
    • Must be 18+ years of age
    • No prior technical training, analytics, or web development experience is required.
    • Basic computer skills and proficiency. You should know how to use common applications, such as word processing, and have familiarity using the internet.

    • Schedule

      Saturday, Tuesday, Thursday S: 9AM-2PM CT | T/Th: 6PM - 9PM CT

    • Location

      This class is live online (i.e. synchronous).

    • Dates

      See Schedule Below

    • Tuition

      $650

      $500 credit toward any NSS bootcamp. (Only one $500 Jumpstart credit may be applied per bootcamp.)

    Upcoming Sessions

    Program Type Format Dates Tuition
    Analytics Jumpstart Evening(3 weeks) Live Online February 1 - 20, 2025 $650 Register


    Attendance Information

    Our policy regarding absences is based on the short duration of the course and the schedule of the material covered. We want to make sure you are getting the most out of this course possible!

    For the following scenarios, we would be happy to work with you and point you at resources to help fill in what you missed. The instruction staff is happy to catch you up to speed.

  • Missing class session 1 or class session 2 (unless the first day of class is on a Saturday. See below).
  • Missing a day due to an emergency.
  • You’ve been accepted into an upcoming Bootcamp.

    • For the following scenarios, we would encourage you to look into enrolling in the next available course. Courses are regularly offered and there might be one that better fits your schedule. If there are no future courses listed, make sure to ask us and we’ll let you know roughly when the next class is slotted for.

  • Missing a Saturday. Because Saturdays include 5 hours of instruction and hands-on exercise, it is best not to miss these.
  • Missing any class period beyond week 1. Materials covered in weeks following build on each other and can include complex topics.
  • Missing multiple days.

    • Refund Information

    Tuition will be refunded, minus a $50 administration fee, if a request is made prior to the start of the second class session. If you would like to transfer your ticket to a different month or Jumpstart, please email info@nashvillesoftwareschool.com before requesting a refund.

    Have questions?
    Email Us