Data Analytics & Visualization Bootcamp

  • Launching July 2023 & Enrolling Now!
  • Part-Time 16 Weeks | 30 hours/week
  • Monthly rotating M/W or T/TH Lecture Days
  • Online Attendance
  • Beginner Friendly!
  • $10,995
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Program Overview

The Data Analytics and Visualization program combines data science fundamentals with practical skills to delve into popular technologies, Python, SQL, and Tableau along with specialized toolkits to manipulate, process, and visualize data into powerful insights.

Students will study data manipulation using Pandas, apply Machine Learning concepts, explore hypothesis testing, ETL processes, time series analysis, and create reporting-quality visuals in Tableau. Throughout the program, students will work across a range of technologies, languages, frameworks, and libraries. Upon completion of the program, students will have tackled real-world data challenges and have made informed decisions using data-driven insights.

Graduates of the Data Analytics & Visualization program exit with three portfolio projects based on real-data sets and authentic stakeholder questions featuring the CRISP-DM workflow, ETL, and time-series analysis in Tableau to showcase their job-ready skills.

Curriculum Overview

Python Basics Pre-coursework

~40 hours prior to your program’s start date

Before the program, familiarize yourself with the basics of coding in Python with an introduction to writing and understanding code.

What You'll Focus On
  • Exploration of data types, conditionals, and loops
  • Foundational learning for object orientated programming
  • Functions in Python

Data Science Fundamentals

Kicking off the program with Data Science fundamentals, explore introductory coding within Python and its libraries.

What You'll Focus On
  • Python Fundamentals
  • Load, explore, and understand data in Pandas
  • Exploratory Data Analysis (EDA) using Seaborn & matplotlib
  • Create and customize plots for explanatory visualizations

Intro to Machine Learning

Familiarize yourself with Machine Learning by pre-processing raw data sets, writing code for, optimizing, and explaining supervised statistical models in Scikit-Learn and SHAP.

What You'll Focus On
  • Formatting and preprocessing for supervised Machine Learning
  • Train models in regression, classification, and supervised learning
  • Model Optimization
  • Extract, visualize, and interpret model insights

Data Enrichment

Dive into database architecture exploring data normalization, ETL processes, and hypothesis testing. Write and interpret queries within MySQL.

What You'll Focus On
  • Database architecture in SQL
  • Intro to ETL: navigate JSON files, extract from APIs, and convert Panda dataframes
  • Hypothesis testing, interpretation of results, and communicating results to stakeholders in non-technical terms
  • Advance SQL

Data Visualization

Explore visualization’s end-to-end process through writing code, identifying, pre-processing and resampling time series datasets. Then, explore analysis and visualization techniques through powerful visualization tool, Tableau to create and optimize an interactive dashboard.

What You'll Focus On
  • Time Series Analysis in Python
  • Applying Machine Learning to forecast Time Series data for both short and long term
  • Perform analysis and quality visualizations in Tableau
  • Create interactive, responsive dashboards within Tableau

What a Schedule in Data Analytics & Visualization Program May Look Like

  • MorningHead to Work

  • Mid-MorningSelf-Study over Lunch

  • EveningLecture & Office Hours

  • 24/7 Cohort Access

    Your access to our LEARN Platform and Discord is available 24/7. Access your materials at whatever time you need them.

  • Self Study

    Most students dedicate 30 hours a week to self-study, though you may need more or less depending on your learning style and experience.

  • Lectures

    Live lectures are held twice per week for an hour and a half from 6pm - 7:30pm MST. Lecture days are Monday/Wednesday or Tuesday/Thursday depending on your cohort’s start date.

  • Optional Office Hours

    Need more assistance understanding a concept? Optional office hours are held thirty minutes before and after lecture times between 5:30pm - 6pm & 7:30pm - 8pm MST.

To learn more about the full curriculum click below!

Support When You Need It

Student support begins the day you inquire about pursuing your studies with Coding Dojo. You’ll find support throughout your Admissions journey, along the way through your program, and beyond graduation with Career Services that never expire.

Apply Today
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Meet the Team

  • Purvi Kansara Instructor
  • Neerja Jhingan Instructor

Career Services

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Tuition and Financing

Tuition at Coding Dojo

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Data Analytics & Visualization Bootcamp

  • Tuition: $10,995
  • Deposit: $99

The $99 deposit is a part of your overall tuition and not an additional expense. Your deposit will be made as a part of the application process which you’ll place after your application is submitted and the non-technical interview with your Admissions Advisor is complete.

Upcoming Program Dates

  • 16October

    Data Analytics & Visualization

    • October 16, 2023
    • 16 weeks of program

    Mon/Wed lecture days

  • 13November

    Data Analytics & Visualization

    • November 13, 2023
    • 16 weeks of program

    Tue/Thu lecture days

  • 18December

    Data Analytics & Visualization

    • December 18, 2023
    • 16 weeks of program

    Mon/Wed lecture days

REQ1943016 05/2023