Flex Data Analytics Bootcamp

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

  • 12/24/52 week access | 100% online | Recorded lectures 12/24/52 week access | 100% online | Recorded lectures
  • Beginner & advanced friendly Beginner & advanced friendly

Get the Flex Data Analyst coursebook

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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9

Module 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

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

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

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

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

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

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

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

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 Self-Paced curriculum

Schedule

Daily schedule

Self-Paced learning allows you to get the coding bootcamp experience on your own time. You are able to move at your own speed, free from deadlines and class schedules. You’ll learn to program through a mix of recorded lectures, coding exercises, and projects.

Support

We set students up for success

Dedicated Student Relations Manager

Dedicated Student Relations Manager

1:1 support sessions with an instructor

1:1 support sessions with an instructor

Weekly peer programming and code wars sessions

Weekly peer programming and code wars sessions

Real projects and graded assignments

Real projects and graded assignments

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

Self-Paced Data Analytics graduates

Five Stars

"Committing to a boot camp without much knowledge of what you are getting into can be scary. The Coding Temple creates a fun, engaging environment to help you feel comfortable. The instructors are extremely knowledgeable and patient while willing to help you learn. Coding temple has many resources to assist in your learning experience and career coaches to help carve your career path! Also, it doesn’t end when you graduate, you become part of a community!"

Sean

Five Stars

"They teach you the most up-to-date technology and practices. The instructors are extremely knowledgeable, and the support staff are great! You will be expected to put in the work and effort, but they provide a lot of support and help for you when you need it. Everyone is easily accessible, and they actually respond to you when you reach out to them. They provide a ton of job support after you graduate. You have interview support, job search support, resume writing support, weekly coding post-grad class, and continued coding challenges to help you stay up to date on your coding skills."

Kia

Five Stars

"I highly recommend this course if you want to push yourself to learn something new, change careers, or improve on whatever coding skills you already have and come out the other side prepared to tackle the job search."

Thumbelina Whitmore

Five Stars

"If you're looking for a bootcamp that not only provides you with the resources to be successful but also gives you a sense of belonging, look no further! I am beyond grateful for the experience Coding Temple provided me with and I would highly recommend it to anyone! You will get out of this bootcamp what you put into it."

Yesenia Vega

Program cost

Tuition + payment plans breakdown

Pay upfront
Pay with a loan

12 weeks all access

$5,500

Buy now

24 weeks all access

$7,500

Buy now

52 weeks all access

$9,000

Buy now

$0 upfront

12 weeks all access

$6,000

Get pre-approved

24 week all access

$7,500

Get pre-approved

52 week all access

$9,000

Get pre-approved

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 Self-Paced is for you?

FAQs

How many hours a week do I need to commit to the Self-Paced Bootcamp?

Our Self-Paced Bootcamps allow students to work at their own pace and on their own schedule, rather than following a set schedule of live instruction and assignments. The number of hours you need to commit to a self-paced bootcamp will depend on the specific program you choose and your personal learning style and goals. We recommend that you dedicate a minimum of 10-30 hrs per week to complete the program.

Who is a Self-Paced Bootcamp best for?

Our Self-Paced Bootcamps are generally best for people who are self-motivated, disciplined, and able to manage their own time effectively. This may also be a good option for people who are comfortable learning independently, as this learning option does not involve live instruction or the same level of support as our Full-Time or Part-Time learning options. This program is also a good option for people who are unable to commit to a full-time or part-time program due to other commitments, such as work or family obligations.

It’s important to carefully consider your own learning style and needs before deciding whether a self-paced 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 tech industry. We believe that with your skills and our support, the opportunities are endless.

It is important to note that our money-back guarantee does not apply to our Self-Paced Bootcamp.