Immersive Data Analytics bootcamp

Become a Data Analyst using the most sought-after curriculum in the industry!

  • 8 weeks | 100% online | Live instruction 8 weeks | 100% online | Live instruction
  • Beginner & advanced friendly Beginner & advanced friendly
  • Job guaranteed Job guaranteed

Get the Immersive Data Analytics coursebook

Upcoming Cohort Start Dates

Open

March 6, 2023 - April 28, 2023

Open

May 1, 2023 - June 23, 2023

Open

June 26, 2023 - August 18, 2023

Open

August 21, 2023 - October 13, 2023

Placement rate

97%

Placement rate

Graduation rate

86%

Graduation rate

Average salary

$81,310

Average salary

Salary increase

$23k

Salary increase

Skills & technologies covered

Curriculum

Skills & technologies covered

Skills & technologies covered

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5
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9

Module 1 / Week 1

Intro to Data

Learn the big picture of data roles, and how they fit together. Understand what a data analyst does specifically and how it differs from data engineers, scientists, and machine learning engineers. Gain a cursory understanding of statistics and tabular data, and the importance of data. Students will be able to explain the difference between continuous and discrete data, as well as the differences between experimental and observational data collection. They’ll also be oriented to the full course and how to use the CT Self Paced model of education. This section will also include how to use slack, google classroom, course etiquette and norms, as well as the installs required to make the course work.

Technologies Used

Basic statistics, career orientation, course goals

Module 2 / Week 2

Excel

Learn tabular data with Microsoft Excel! Students will be introduced to the concept of tables and tabular data, how to work in tables, organize data, and more. Students will be able to create spreadsheets and adjust data values with ease, find anomalies, and do basic calculations. We will focus on ease-of-access and shortcuts as well to help make Excel work faster for students.

Technologies Used

Excel

Skills Learned:

Entering and manipulating data, creating formulas, charts and graphs, import and export CSV, VLOOKUP, pivot tables, split and concatenate text

Module 3 / Week 4

Statistics

In this module, students will learn beginner and intermediate statistics. We will look at some common statistical errors, revisit data types, and create a ‘cheat sheet’ for ourselves to use when we are asking ‘What kind of graph should I use to display this data?’ Students will also learn about distributions, subpopulations, normal distribution, probability, percentiles, correlation and causation, inferential and descriptive statistics, samples, experiments, and evaluation of experiments. We’ll also start looking into forming hypotheses and how to use statistical tools to be data detectives.

Technologies Used

Excel

Skills Learned:

Mean, median, mode, standard deviation, skew, distributions, subpopulations, normal distribution, probability, percentiles, correlation and causation, inferential and descriptive statistics, samples, experiments, and evaluation of experiments

Module 4 / Week 5

SQL

Build, query, sort and update relational databases in module 4 with SQL. We’ll make our own functions to help automate SQL processes as well. Students will learn about making entity relationship diagrams, the importance of planning ahead when it comes to databases, and how certain data relates to other data. Most tabular data lives in SQL databases, so we will need to be very familiar with this language to explore our data. We’ll look at moving data back and forth between SQL and Excel as well using CSV files. We will build a very good foundational understanding of relational databases, and then practice SQL repeatedly to achieve intermediate SQL fluency. We will also look at a few advanced SQL techniques. We’ll also look a bit under the hood at how PostgreSQL works, and what other kinds of relational databases exist.

Technologies Used

DBeaver, PostgreSQL

Skills Learned:

Entity Relationship Diagrams, Relational Databases, Advanced Querying, Database Management

Module 5 & 6 / Week 5

Python

The first of these two modules will be focused on basic python programming. This will be the same curriculum as our full-stack self-paced course, where we learn data types, writing and executing custom functions, we will get started with scripting in module 2 with Python. This module will get you up to speed on the core concepts of programming using Python’s elegant, easy-to-learn syntax. You’ll learn about looping, conditional statements, data types, object-oriented programming, and more – culminating in a series of small Python applications like shopping carts and interactive games. The second module of Python will focus on doing data analysis with Numpy, Pandas, Matplotlib, and Scipy. We’ll also pick up Regular Expressions, Beautiful Soup for web scraping, and actually automating Excel with Python.

Technologies Used

Python, Numpy, Pandas, Matplotlib, SciPy, RegEx, Beautiful Soup, Automations, Jupyter Notebook

Skills Learned:

Python, Data analysis with python, automation, web scraping

Module 7 / Week 6

Shell Bash Scripting

Similar to python scripting, we will write a few scripts in our command line interfaces. This will be a lighter module, but we will get very used to writing in the shell, and write a little Python and PostgreSQL as well. We will look at ways of executing scripts in the bash shell and learn basic Linux commands as well.

Technologies Used

Linux, terminal, CLI

Skills Learned:

Scripting, SQL, Python, automation

Module 8 / Week 8

MongoDB / JSON

In this module, students will pick up MongoDB and NoSQL data. We’ll get familiar with writing non-relational data, look at some of the advantages and disadvantages, and get querying using MongoDB’s Compass software. We’ll also briefly look at graph data, which is not part of MongoDB, but is something data heads should be aware of. Students will use Python to pull data from MongoDB and JSON documents hosted on the internet. We’ll also discuss how the cloud works, since MongoDB is a cloud-based database.

Technologies Used

MongoDB Atlas, MongoDB Compass, JSON, Python, Cypher

Skills Learned:

NoSQL, intro to cloud data

Module 9 / Week 8

R

A programming language specifically meant for use in statistics, we will review most of the concepts in the rest of the course, particularly statistics, in R. Students will learn the basics of the programming language, as well as R’s counterparts to Python’s libraries – Learners will be engaged with ggplot2, tibbles, dplyr, and the tidyverse as well as basic operations, data structures, and more. This module will primarily be used to discuss exploratory data analysis as well.

Technologies Used

R, RStudio, Jupyter Notebook, dplyr, ggplot2, tidyverse

Skills Learned:

Data analysis, R, Rstudio, dplyr, ggplot2, tidyvers

Module 11 / Weeks 9-10

Capstone Projects

There will be two capstone projects for this course with two different focuses.

Project 1: Parallel Analysis Report Project 1: Parallel Analysis Report

In this project, students will be expected to find a data set to analyze, and then do so in Python, R, and SQL/Excel if possible. Students will perform the same analysis in all three languages with the goal of understanding the subtle differences between the three tools. After forming a hypothesis, they will explore the data, and this work will culminate in a written report detailing the exploration process, as well as pros and cons of each platform for the analysis. The report will be written as if it is being sent in to a business or research entity as a cumulative response to the hypothesis.

Project 2:  Analysis Presentation  Project 2: Analysis Presentation

A huge part of analysis will be explaining and communicating data to people who don’t speak data. In this project, students will choose a database and language (R, Python, or SQL/Excel) and explore a data set after creating a hypothesis about it. After spending time in the data, they will create a presentation, and then use Loom or similar software to explain the results of the search in a 5-10 minute pre-recorded presentation.

Dive deeper into our Full-Time curriculum

Schedule

Daily schedule

You’ll get a full, immersive experience with your classmates and instructors in an online classroom. You’ll learn to program through a mix of live instruction, coding exercises, and team projects. We’re flexible in how we run our bootcamp, but here’s an example of what a typical day might look like in our Full-Time Cohorts.

9:00 AM
9:30 AM
10:30 AM
12:00 PM
1:00 PM
4:00 - 5:00 PM

Morning review

The morning begins with a chance to talk with your classmates and teachers; this is also a great time to ask questions and get last-minute advice on projects.

Whiteboard algorithms

Starting in Week 2, the class will work through a coding algorithm question to prepare for technical interviews. One student will be chosen to share their screen as they code a solution, talk through their thought process, and get feedback from their instructors on how they solved the problem.

Morning lecture

In a live instruction class, your Senior Instructor will explain concepts and then lead you through how to apply them in real-life scenarios. Often these classes will be broken up into smaller groups so that you can work on projects together or help each other out with solutions.

Break

You will take a 60-minute break to recharge and refuel. Many of our students take advantage of this time to grab lunch, get some exercise, and get back in the right frame of mind for the rest of the day.

Afternoon lecture

The afternoon consists of a continuation of live instruction from your Senior Instructor.

Post lecture review

Your Associate Instructor will lead an hour-long help and review session. These sessions will focus on a different topic or problem-solving technique and are designed to build upon your existing knowledge of the course material.

9:00 AM

Morning review

The morning begins with a chance to talk with your classmates and teachers; this is also a great time to ask questions and get last-minute advice on projects.

9:30 AM

Whiteboard algorithms

Starting in Week 2, the class will work through a coding algorithm question to prepare for technical interviews. One student will be chosen to share their screen as they code a solution, talk through their thought process, and get feedback from their instructors on how they solved the problem.

10:30 AM

Morning lecture

In a live instruction class, your Senior Instructor will explain concepts and then lead you through how to apply them in real-life scenarios. Often these classes will be broken up into smaller groups so that you can work on projects together or help each other out with solutions.

12:00 PM

Break

You will take a 60-minute break to recharge and refuel. Many of our students take advantage of this time to grab lunch, get some exercise, and get back in the right frame of mind for the rest of the day.

1:00 PM

Afternoon lecture

The afternoon consists of a continuation of live instruction from your Senior Instructor.

4:00 - 5:00 PM

Post lecture review

Your Associate Instructor will lead an hour-long help and review session. These sessions will focus on a different topic or problem-solving technique and are designed to build upon your existing knowledge of the course material.

Support

We set students up for success

Dedicated Student Relations Manager

Dedicated Student Relations Manager

Evening and weekend TAs

Evening and weekend TAs

Live instruction

Live instruction

Individualized attention

Individualized attention

Slack community

Slack community

Fine-tune your communication

Fine-tune your communication

Build your personal brand

Build your personal brand

Sharpen your technical skills

Sharpen your technical skills

Leverage our employer network

Leverage our employer network

Build a meaningful community

Build a meaningful community

Utilize resources and templates

Utilize resources and templates

Careers

We offer lifetime career services

Our post-graduation services provide each student with the necessary resources, tools, and guidance to build a meaningful career. We provide 1-1 support for the entirety of your professional journey.

Learn more

Want quick answers to your questions?

Quick Questions

Our Admissions Representatives are ready to help

We'll work 1-1 to get your questions answered.

We’re here to help you understand our curriculum and financing, as well as give you information about post-graduation services.

Quick Questions

Attend one of our Weekly Webinars

See what our program is like and learn how to get started.

Ask questions during our live Q&A.

Big names in tech hire Coding Temple grads

Curriculum Reviews

Don’t just take our word for it. Hear from our

Full-Time Data Analytics graduates

Five Stars

"Coding Temple is a fantastic, immersive, and very personal experience! The student-to-instructor ratio is amazing at about 6-to-1. Each day was filled with many hours of learning new technologies and actual coding experience with challenging homework each night and full-fledged weekend projects too."

Steve McTeague

Five Stars

"I'm a recent graduate of the full-time full-stack + data science program at Coding Temple (remote). Why Coding Temple over the others? The staff! The staff was helpful before, during, and still after the program is complete. They really want you to succeed but you get what you put into it like most things so be prepared. The curriculum was intense but doable if you commit yourself. Full-time means full-time so all of my free time was spent doing homework and projects. What I didn't expect was developing bonds with the other students that were and still are a great support system to this day. Send Coding Temple an email or give them a call, what do you got to lose?"

Steve Yoon

Five Stars

"I attended Coding Temple after getting a bachelors in a computer science program at a university and I'm very glad that I did. We covered more ground with hands-on practical programming and theory than we did in my bachelors degree. College really lacked in experience creating real projects and coding with frameworks. Coding Temple filled in all the gaps I had from college and gave me a real portfolio to showcase to employers. While interviewing for jobs, 90% of what was discussed what what I did in the bootcamp, what I made, what I used, and how I did it. I did not get this in college."

Matthew Whisman

Five Stars

"The quality of the course and the resources you have access to after graduation is worth every penny. In fact it's almost a steal. I haven't compared Coding Temple's alumni support to other bootcamps because I don't need to. I have everything I need to succeed and more. Take this course, put in the effort, and enjoy the success."

Garrett Greathouse

Program cost

Tuition + payment plans breakdown

Pay in full

$1,000 deposit / due prior to 1st day of class

$10,500

Pay as you learn

$1,000 deposit / 3 installments made throughout the class

$11,000

$4,998 week 1, week 4, week 8
All plans carry 0% interest and do not require a credit check.

Deferred tuition

$0 deposit / monthly payments as low as $399

$11,500

Apply for a tuition loan in just five minutes with our
credit partner, Ascent.

Admissions process

How to get started

01

Explore our career paths and courses

Ready to start your new career in tech? Explore our different career tracks and see which path interests you the most!

Explore Courses
02

Schedule an admissions call

Talk with our admissions team so we can get to understand your career goals and answer any questions you have about our program.

Schedule a Call
03

Application and basic skills assessment

Submit your application - it takes less than 5 minutes. After you apply you will be sent a basic skills assessment. Our 50-question assessment is meant to test your cognitive skills. Don’t stress! We want to know if you can think like a programmer, if you can we will take it from there!

Apply Now
04

Secure your seat and enroll

Finalize your payment plan to secure your seat! Once you’re enrolled, you will gain instant access to our preparatory work, slack channels, and 1:1 support prior to class.

See Payment Plans

Not sure if Full-Time is for you?

FAQs

How many hours a week do I need to commit to the Full-Time Bootcamp?

Our Full-Time Bootcamp is a highly intensive program that requires a significant time commitment. It is common for students to spend 40-60 hours per week on coursework, projects, and assignments. This can include attending lectures and workshops, working on group projects, and completing individual programming exercises. 

It’s important to note this is a rough estimation, and depending on the week, the number of hours of commitment might vary.

Who is a Full-Time Bootcamp best for?

Our Full-Time Bootcamps are best suited for individuals who are able to fully commit their time and energy to the program. This program is designed for people who are:

  • Self-motivated and able to work well independently.
  • Willing to make a significant time commitment to the program, dedicating 40-60 hours per week on coursework, projects, and assignments.
  • Interested in fast-tracking their learning and gaining the skills needed to excel in the technology industry as quickly as possible.
  • Comfortable with an intensive, fast-paced, and hands-on learning environment, as this will be the nature of the program.
    Ready for a challenging but rewarding experience.

This program may not be the best fit for someone who wants to keep a full-time job or has other significant obligations, and would prefer a more flexible learning schedule. It’s important to carefully consider your own learning style, time availability, and personal circumstances before deciding whether a Full-Time Bootcamp is the right option for you.

Will you help me get a job after I graduate?

Absolutely! We are committed to helping you succeed in your career goals and understand that finding a job is vital to that success. That’s why we are proud to offer lifetime career services to all of our graduates, which includes a range of support options to help you find the perfect job.

Our team will work with you to create a professional resume and guide you through the job search process, including preparing for technical interviews and showcasing your portfolio. We have strong connections with industry employers and will help match you with job opportunities that align with your skills and career aspirations.

We are dedicated to helping you achieve your dream job and our lifetime career services give you the necessary resources and support to help you find your path to success in the technology industry. We believe that with your skills and our support, the opportunities are endless.