Data Analytics Flex*
28 Weeks · Online · Live 1:1 Mentorship · Career Coaching
DATA ANALYTICS FLEX BOOTCAMP
Gain the skills to become a Data and Business Analyst with Python, SQL, Tableau, Jupyter Notebook, Selenium, Web Scraping, Exploratory Data Analysis, and APIs
Companies are looking to data to make better business decisions, whether it is forecasting revenue, iterating processes for efficiency, or finding ways to increase productivity. This had led to employers seeking trained individuals who possess technical and data analytic skills, problem solving skills, and effectively communicate insights. Join our Data Analytics bootcamp and get the hands-on skills you need to launch a career as a data and business analyst. Learn how to query, clean, wrangle, analyze, and visualize data with modern tools that employers look for, such as Python, Pandas, Numpy, Seaborn, Matplotlib, SQL, Tableau, Jupyter Notebook, Selenium, BeautifulSoup, and more. Be trained in programming, databases, exploratory data analysis, web scraping, application programming interfaces, and how to implement strategies to efficiently communicate data-driven insights in a verbal and visual way.
Learn Software Development for free after graduation.
Coding and data are converging now more than ever, which means knowing both coding and data analytics has become increasingly important for advancement in the field. devCodeCamp is offering students of the Data Analytics Flex program access to the Full Stack Development Flex course for free after graduation. This makes devCodeCamp the most compelling value in the bootcamp space as we know it. Why give away a full course packed with quality content to teach software development at no additional cost? Because we understand the importance of arming your toolbelt with more skills that can open the door to more opportunities as you accelerate your career. Become the best version of you that you can be, and let us help you do that.
Program Details
Learn the relevant skills and modern tools you need to become a Data Analyst.
Put your programming and database skills, data analysis skills, and statistical techniques to work by taking raw data and turning it into information and insight for business decision-makers. Use modern tools used by professionals to extract data from sources, cleanse data, manipulate data, and visualize data.
Be surrounded by a support system of instructors that will answer your questions and meet with you 1:1 to provide direction on projects and mentorship throughout the program.
Get detailed video feedback on all projects to see what you did well and where you can improve so that you can strengthen your data analysis and visualization skills.
Receive quality coaching and support from our Career Services team to ensure your resume and LinkedIn stand out and you are prepared to impress in interviews.
Why you should schedule a call with our team, attend the virtual info session and go to a one-on-one follow-up with an Admissions Adviser
Our programs are not universally for everyone. To successfully complete one of them you will need a high level of motivation, commitment, persistence, and a genuine interest in learning. This is why it’s important for us to talk with potential students and arm them with information. We want to ensure that you’re a good fit for our program and that our program is a fit for you.
It’s vitally important that your expectations are set so you and devCodeCamp can come to an understanding on the proper path for you as it relates to our programs and the industry training needed to reach the outcome you desire. We are educators always and we want to empower you with information to make a good choice even if you don’t enroll and study with devCodeCamp.
Schedule a call with a team member to see how we can help you achieve your career goals.
Why Become a Data Analyst?
High Demand
The demand is high for Data Analysts, Business Intelligence Analysts, and Data Engineers. Every company deals with data, but the need for someone who is trained in querying data, cleaning data, wrangling data, interpreting data, and visualizing data is growing. The ability to use programming languages and statistical tools to identify, analyze, and interpret patterns in complex data sets translates to great opportunities and a high career ceiling that has the potential to lead to high career earnings long term.
Flexible Career Path
Knowing how to work with data and visualize it in a way that provides insight to business decision-makers means opening the doors to a flexible career path in which you can work in person or remote for startups, agencies, or large corporations. The more experience you gain the more growth and employment opportunities that will appear.
Data is Evolving
The technology industry and the way companies deal with data is evolving, which has led to an increased need for people who have a modern skillset that can work with data. Having a team of trained professionals who can take raw data, transform it into useful information, and visualize it for others to make better business decisions is what could lead a company to great profits. With data evolving and becoming more important than ever, the need for trained data analysts is increasing.
What You Will Learn in the Curriculum
The devCodeCamp Difference
Some of the Companies Where devCodeCamp Alumni Work
At least one graduate works at these companies
Alumni Success Stories
From Retirement Representative to Data Analyst: How Jim Uses Data to Help Drive Company Goals
How To Get Started
Tuition & Funding
Next Start Date:
March 6, 2023
Tuition Cost: $12,900
Pay upfront with ACH, wire transfer, or credit card to get $400 off tuition price
When applicants don’t have the option to pay their tuition upfront, there are other options for you to invest in your future:
- Check with your bank or credit union for a private loan
- Check with alternative lending option Ascent
Talk to Admissions
Have questions or want more info?
Schedule a call with a team member to learn more about:
- The tech industry and how we teach you to be job ready for the demanding market
- How career services can help you upon graduation to be ready for interviews
- Other like-minded individuals who have come before you
What You Will Get
Everything you can get by taking the Software Development program:
- A proven project-based curriculum
- A portfolio of your built projects
- Dedicated instructor support
- 1:1 and/or small group daily meetings with instructors
- Job-ready skills
- Career services support upon graduation
Tools We Use
We use modern virtual tools and technologies to interact with students:
- Zoom
- Visual Studio Code
- Slack
- GitHub
- Trello
- Apps powered by devCodeCamp
Tools You Need
Make sure you have a dedicated work space, free of distractions. The tools you need are most likely already at your disposal:
- Computer (laptop or desktop)
- Stable internet connection
- Webcam
- Headphones
- Microphone
- Additional monitor(s) is nice to have
Frequently Asked Questions
Data Analytics is the term given to the gathering of data to help future decisions made by companies to guide them to success using the information they have available to them. The trained professionals who have the correct knowledge to properly gather and inform decision makers on this data are called Data Analysts.
Data Analysts need a variety of skills to be successful at their job. The primary skills a Data Analyst needs to know are a programming language (Python), relational database (SQL), Microsoft Excel, data cleaning and wrangling (Pandas, NumPy), data visualization (Tableau, Matplotlib, Seaborn), web scraping (Beautiful Soup), application programming interfaces (APIs), problem solving, critical thinking, mathematical skills, and communication and presentation skills (Microsoft PowerPoint).
Our online flex course allows you to have flexibility to pursue learning the skills you need to launch a career in code without having to replace the valuable time in your life now. You are not required to be in class during the day, but instead meet with instructors weekly at a time that is flexible to you.
No. This bootcamp is designed for you to complete at a flexible pace.
Yes. Our team of instructors are available to answer your questions, meet with you weekly in video calls, provide guidance and feedback on your project work, and have created an easy-to-follow collection of resources for you to have as your learning companion throughout the course.
All Flex students get access to our on-demand video library. These videos include past lessons plus career service videos covering resume building, LinkedIn workshops, cover letter tips, and more. Flex students also can get questions answered by the devCodeCamp Career Services team regarding resume, LinkedIn profile, and more.
Our team of instructors specialize in a wide range of expertise as developers and data analysts. When interacting with our instructors daily you will experience professionalism, motivation, and the years of experience they bring into each lesson plan. You will receive a support system and engaging interactions that can aid you in becoming a Data Analyst.
Our bootcamp courses are constantly updated and modified based off of the most relevant hirable technologies and languages used today in technology.
To get a job as a Data Analyst or Business Intelligence Analyst, it takes a combination of technical and non-technical skills. In the Data Analytics course, you learn many technical skills such as the fundamentals of programming with Python, data structures, object-oriented programming, SQL, Pandas, Matplotlib, Microsoft Excel, Jupyter Notebooks, exploratory data analysis, data visualization with Tableau, web scraping, APIs, business analysis, data wrangling, data cleaning, data modeling, and more. You also will learn non-technical skills such as problem solving, critical thinking, communication, collaboration, and more.
devCodeCamp is designed for you to begin learning hirable skills starting on day one. Because each person and situation are different, we do not guarantee job placement. But our library of on-demand resources and supportive team can help guide you on your hunt for a job in the industry. Our graduates can be found inside companies such as Amazon, Facebook, Oracle, Deloitte, IBM, and HubSpot. Visit our LinkedIn to see graduate success stories.
The first step in your student journey is meeting with one of our trained Admissions Specialists to learn more about what our courses offer and how our bootcamp can play a crucial role in your specific path towards a career in technology. Fill out any form on our website now and we will reach out to you with more information and how to set up a meeting to begin.
You don’t need prior experience to start. devCodeCamp was designed for beginners. You might have dabbled with data analytics or tried to teach yourself. Our bootcamps start with providing everyone the necessary fundamentals and foundation to be successful. Our bootcamp is immersive and fast-paced, covering a great deal of material in a short amount of time.
Our students come from all walks of life including college students, college graduates, musicians, food service, engineers, trade workers, and even a pilot. Regardless of backgrounds, everyone shared the common goal of wanting to learn data analytics.
From the beginning of the program, students are taught how to think like a data analyst by working on real-world projects in a collaborative environment constructed to replicate a real-world data analyst environment. Throughout the program, you will build a portfolio of real-world projects that will showcase your hirable skill set.
Don’t be afraid to bring your own project ideas with you to create something you are passionate about. If you don’t have an idea, don’t worry that’s what we are here to help you with.
Typically the first step in the admissions process is attending an online info session. During the virtual information session, you will learn about the industry, day in the life of a data analyst, bootcamp curriculum, what to expect while attending devCodeCamp, what to expect after completing the program, and how you can become a Data Analyst.
The next step is scheduling a one-on-one meeting with one of our trained Admissions Specialists where we will learn more about you, how this can be a great fit for you, and how we can help you achieve your career goals. After that it comes down to picking a start date, securing funding, and diving into the wonderful world of data analytics.
devCodeCamp accepts cash, check, or major credit cards. If a credit card is used, a 3.0% processing fee is added to your total.
If that’s not an option, you can check with two companies that offer loans to bootcamp students: Ascent Funding and Climb Credit. devCodeCamp is not affiliated with and does not provide loans through the U.S. Dept. of Education, Title IV student aid, or FAFSA.
Students are required to provide their own laptop or desktop: MAC or PC. The computer must meet the following minimum requirements:
- At least 100GB of free space
- At least a 13-inch screen
- At least 8GB of RAM
- 2.5 GHz quad-core processor equivalent of the 3rd generation i5 or better
- A solid-state drive is recommended for the full-time program but not necessary
- Windows 10 or macOS
- Must have at least one free USB port
- Must have at least one HDMI port or converter.
Yes, because a four-year college program may not be right for everyone. However, devCodeCamp wants to be clear that there’s value in degree programs and that boot camps and degrees offer totally different learning.
What each individual needs to weigh is their own situation and goals. devCodeCamp does offer an excellent return on investment for its graduates in terms of cost and time. Those that attend devCodeCamp have had masters, bachelors, and associates degrees, some college, and those who only hold a high school diploma or GED. Our point is it’s not just about which education credential you hold, but rather what you’re capable of learning, your motivation, and persistence.
We are strongly opposed to removing students if they fall behind or need extra help. Instead, our instructors are ready to provide extra help and mentoring to get you back on track. We understand that learning consists of doing, falling down, and getting back up. Mistakes will happen, but always remember that mistakes are learning opportunities that can lead to growth.