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> online bootcamp · 4 months · part-time

AI Data Analytics Bootcamp

Become the analyst who uses AI in every workflow and can prove when it’s wrong. Live, part-time and online, so you can keep your job.

4.84/5 from 750+ alumni reviews · or text us at (708) 847-9470

Length
4 monthspart-time, start anytime
Format
Live + self-paceddaily live sessions, recorded
Curriculum
12 modulesin 4 phases, plus pre-work
Tuition
From $175/moor $4,000 upfront
Included
Tuition Protectionand career support for life

Our data analytics alumni are now working at

  • Accenture
  • LinkedIn
  • Amazon
  • Lockheed Martin
  • Deloitte
  • Ramp Health
  • Red Ventures
how ai fits in

AI-fluent, not AI-dependent

You’ll be an AI-pair analyst: AI in every workflow, but able to do the work without it and to prove when it’s wrong.

  1. 01Learn with AI

    Prompting and verification from pre-work

    Pre-work covers AI foundations, a 5-part prompt and 5 reusable prompt patterns, plus how to check what AI tells you.

  2. 02Work with AI

    An AI lesson in almost every module

    AI-assisted Excel, SQL, Python, dbt, Tableau and Streamlit, plus Power BI Copilot, always verified by you.

  3. 03AI as the subject

    Put LLMs to work on data

    Call LLM APIs from Python for classification and summarization at scale, use embeddings and vector search, then build ML models and audit their output.

  4. 04Capstone

    Disclose and verify

    Projects carry an AI tier with a written AI Use Disclosure. Capstone Path B is a full AI-augmented analytics project.

“Always check, always cite, always own.”

From the AI Data Analytics curriculum
// you’ll also learn the risks
  • Hallucinations and verification
  • Bias and privacy
  • Data residency
  • Auditing ML outputs
  • Written AI Use Disclosures
curriculum

From spreadsheets to machine learning

Pre-work plus 12 modules in four phases. Nearly every module ends with an AI lesson for that tool, and you build a portfolio as you go.

// roles you’ll be ready for
  • Data Analyst
  • Operations Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Data Scientist
// tools you’ll use
  • Excel
  • Power Query
  • SQL
  • PostgreSQL
  • Python
  • pandas
  • Plotly
  • Polars
  • DuckDB
  • dbt
  • Tableau
  • Power BI
  • Looker Studio
  • Streamlit
  • Gemini API
  • PandasAI
  • Git & GitHub

AI marks modules with a dedicated AI lesson. Open any module to see what it covers.

// your path through the program
  1. 00Foundations & First Steps
  2. 01Data Analytics & Statistics
  3. 02Excel for Analysts
  4. 03SQL with PostgreSQL
  5. 04Python for Data Analytics
  6. 05AI-Augmented Analytics Workflows
  7. 06Analytics Engineering
  8. 07Tableau
  9. 08Power BI & Looker Studio
  10. 09Streamlit Portfolio Data App
  11. 10Machine Learning & AI for Analysts
  12. 11Career Launch & Capstone Kickoff
  13. ✓Capstone + portfolio

Getting startedPre-work

00Foundations & First StepsSet up your tools and your analyst habits.AI

AIAI Foundations, Prompting & Verification

  • Terminal and Excel basics
  • Python, VS Code, Anaconda and Jupyter
  • Problem decomposition: 5 Whys and logic trees
  • Git and GitHub
  • Career research

// projectHello, Northstar

Phase 1Analyst foundations

01Data Analytics & StatisticsThink like an analyst and trust your numbers.AI

AIAI as a thinking partner

  • The analyst mindset and types of data
  • Summary statistics and distributions
  • Confidence intervals and hypothesis testing
  • Correlation and A/B testing
  • Bootstrapping
02Excel for AnalystsThe tool every team still runs on.AI

AIAI-assisted Excel

  • Lookups and logic
  • Pivot tables and dashboards
  • Data cleaning and Power Query
  • Applied statistics and A/B tests in Excel
  • Excel pitfalls
03SQL with PostgreSQLQuery real databases with confidence.AI

AIAI-assisted SQL: drafting and debugging queries

  • Filtering, sorting and aggregating
  • JOINs, subqueries and CTEs
  • Window functions
  • Date, string and CASE logic
  • Cloud warehouses: Snowflake, BigQuery, Redshift

Phase 2The modern analyst stack

04Python for Data AnalyticsAnalyze and visualize data in code.AI

AIAI-assisted Python

  • JupyterLab and synthetic data with Faker
  • pandas: selecting, merging, reshaping and cleaning
  • Time series
  • Data visualization with Plotly
  • Polars and DuckDB
05AI-Augmented Analytics WorkflowsA full module on doing analysis with AI.AI

AIThe whole module is about AI

  • How AI changed the analyst job
  • One-line EDA with ydata-profiling
  • PandasAI, Jupyter AI and D-Tale
  • Calling LLM APIs from Python (Gemini)
  • Sentiment analysis and text classification at scale
  • Summarization, embeddings and vector search
  • Verifying AI output and ethics for analysts
06Analytics EngineeringBuild clean, tested data models with dbt.AI

AIAI-assisted dbt: generating models and tests

  • Your first dbt project
  • Models, sources and the dbt DAG
  • Materializations
  • dbt tests and documentation
  • Snapshots and macros
  • The modern data stack

Phase 3Visualization & BI

07TableauTell stories with dashboards.AI

AIAI-assisted Tableau

  • Your first visualizations
  • Filters, parameters and calculated fields
  • LOD expressions
  • Dashboard design, interactivity and storytelling
  • Publishing to Tableau Public
08Power BI & Looker StudioThe BI tools employers ask for.AI

AIPower BI Copilot

  • Power BI visualizations
  • DAX fundamentals
  • Power Query in Power BI
  • Dashboard design and publishing
  • Looker Studio for marketing analysts
  • Choosing the right tool
09Streamlit Portfolio Data AppShip a live data app for your portfolio.AI

AIAI-powered Streamlit apps

  • Inputs, outputs, layouts and caching
  • Connecting to real data
  • Building two real Streamlit apps
  • Deploying to Streamlit Community Cloud
  • Storytelling with data apps

Phase 4ML, AI & career launch

10Machine Learning & AI for AnalystsUse ML as an analyst tool, and audit it.AI

AIThe modern AI stack: LLMs, embeddings and RAG

  • Linear and logistic regression
  • Classification metrics
  • Decision trees, random forests and clustering
  • Cross-validation and feature engineering
  • Auditing ML outputs and AI ethics
11Career Launch & Capstone KickoffGet your portfolio and job search ready.
  • Which analyst certifications matter
  • Resume and LinkedIn polish
  • Portfolio polish
  • Interview prep
  • Application strategy
// capstone

Module 12: your capstone

Choose a path and present it live. Every path requires an AI Use Disclosure with a session log and a verification protocol.

  • Path AEnd-to-end analytics

    The full analyst workflow, end to end.

  • Path BAI-augmented analytics

    LLM sentiment, classification and summarization, embeddings clustering, and a deployed Streamlit app with an AI verification section.

  • Path CAnalytics engineering

    Build a dbt project on a cloud data warehouse.

a week in the program

Built to fit around your job

Every program is part-time, so you can keep working while you learn. Here’s what a typical week includes.

  1. // live

    Live sessions

    Learn with an instructor in live online sessions, recorded in case you miss one.

  2. // build

    Labs and projects

    Hands-on work, with every module ending in a project you can show employers.

  3. // help

    Help when you’re stuck

    Individual feedback and guidance from experienced instructors and TAs.

  4. // career

    Career coaching

    1:1 support to build your resume, portfolio and job search plan.

learn it like the job

Work client projects from day one

You learn inside a simulated analytics consultancy, with real deliverables for your portfolio.

// your firm: Northstar Data Group

Join Northstar Data Group, a simulated analytics consultancy

You rotate through pods and client engagements, with mentors running standups, Slack pings and ethics reviews. Every project carries an AI tier: AI-Assisted, AI-Integrated or AI-Native.

// every lesson follows one pattern
  1. Concept
  2. Guided example
  3. Quiz
  4. Practice
  5. Reflection
// what you’ll produce
  1. Pre-workHello, Northstar
  2. Module 2Excel dashboards and A/B tests
  3. Module 3SQL analysis in PostgreSQL
  4. Module 4A pandas and Plotly analysis
  5. Module 5An end-to-end AI-augmented workflow
  6. Module 6A tested, documented dbt project
  7. Module 7A Tableau Public portfolio
  8. Module 8Power BI dashboards
  9. Module 9A deployed Streamlit data app
  10. Module 12Your capstone, presented live

Everything lives in your public GitHub portfolio, starting in pre-work.

after the program

Ship a real product with a real team

In the 8-week Tech Residency, graduates from all four programs build and ship one product together in agile sprints, with mentors guiding the way. Here are a few of their demos.

// tech residency demo

EmergyScan

AI emergency healthcare access

// tech residency demo

SecureBank AI

AI-powered finance dashboard

// tech residency demo

GroundCNTRL

AI mission control simulator

// tech residency demo

Five Eyes

AI security training platform

// tech residency

Analyze a product built with devs, security and QA

  • Tackle real-world problems on a cross-functional team
  • Work in agile sprints, the way tech teams do
  • Get feedback from mentors and peers
Explore the Tech Residency
// career camp

Technical and interview training

  • Proactive career support
  • Integrated career modules
  • Dedicated career coaches
  • AI-powered job search tools
  • Built-in networking and hands-on practice
Explore Career Camp
the market for this role

What the job market looks like for data scientists

Figures from the U.S. Bureau of Labor Statistics, the government’s official source for pay and job projections, updated automatically when BLS publishes new data.

National data for the occupation, not Coding Temple graduate outcomes. Pay varies by location, experience and employer. Data scientists is the BLS occupation closest to data analyst roles.

bls.gov · data scientists

$ bls query --occupation "data scientists"

  • median_pay$120,230per year, May 2025
  • job_growth+35%2025–35, much faster than average
  • openings_yr24,800projected each year
  • employed262,440people in the U.S., May 2025

✓ source: U.S. Bureau of Labor Statistics

Pay: BLS Occupational Employment and Wage Statistics, updated automatically. Last checked September 24, 2026. Growth and openings: BLS Occupational Outlook Handbook.
// median pay by state, May 2025

Where data scientists earn the most

Hover or pick a state. Highest: Washington $163,350.

  • AK$84k
  • ME$91k
  • VT$127k
  • NH$101k
  • WA$163k
  • ID$89k
  • MT$100k
  • ND$82k
  • MN$129k
  • IL$107k
  • WI$107k
  • MI$101k
  • NY$130k
  • RI$102k
  • MA$132k
  • OR$126k
  • NV$99k
  • WY
  • SD$96k
  • IA$96k
  • IN$91k
  • OH$103k
  • PA$107k
  • NJ$135k
  • CT$126k
  • CA$142k
  • UT$108k
  • CO$117k
  • NE$98k
  • MO$97k
  • KY$92k
  • WV$85k
  • VA$126k
  • MD$136k
  • DE
  • AZ$107k
  • NM$96k
  • KS$98k
  • AR$109k
  • TN$100k
  • NC$119k
  • SC$92k
  • DC$126k
  • OK$86k
  • LA$79k
  • MS$69k
  • AL$103k
  • GA$104k
  • HI$102k
  • TX$122k
  • FL$116k

$69k$163k

career support

Career support that never expires

Our career services never expire. We’re here to help you land your first data analytics role, and grow from there.

$23kaverage salary increase for active job seekers

Plus LaunchPad, an experiential training platform that connects you with 40,000+ employers and thousands of active real-world projects.

We help you get hired

  • Personalized career mentorship
  • A hiring partner network
  • Data-focused technical interviews
  • Exclusive career resources

Technical coaching

  • CoderPad technical assessments
  • Mock data analytics interviews
  • Workshops on business intelligence tools
  • Real-world data challenges and case studies

Soft skills coaching

  • Mock interviews and behavioral training
  • Career coaching
  • Salary negotiation
  • LinkedIn and resume refinement
reviews

Here’s why students choose Coding Temple

  • 4.8/5Curriculum
  • 4.7/5Career services
  • 4.6/5Instructors
Enrolling in Coding Temple’s Data Analytics program was a game-changer for me. The curriculum is not just about the basics; it’s a deep dive that equips you with skills that are seriously competitive in the job market.
Ann C.
The modules so far have been concise and easy to follow while being informative. The quizzes have helped to make sure the information is being understood. I also liked completing the project. I learn better by completing real world examples.
Karneisha D.
What really stood out was the community at Coding Temple. The collaborative environment fostered a sense of camaraderie among students and staff, creating a supportive network that went beyond the classroom.
David D.
They will help you throughout the whole program, there is no moment that you are going to feel alone. This is a life-changing decision and they make it fun and dynamic to learn.
Benjamin D.
You guys changed my life. I have a great career coach as well and am going to land a better job soon, and it’s because you guys at Coding Temple gave me that opportunity. I’m extremely grateful!
Stephen
// student story

Learning skills that are actually used today

// student story

How Coding Temple opened the door to my career

// student story

Take the leap: your future depends on you

// student story

I was never alone on my coding journey

is_this_for_me.sh

Is AI Data Analytics right for you?

Tick what’s true for you.

Not sure yet? Talk it through with an advisor.

Good start. Try the free course to see how it feels.

✓ Sounds like a strong fit. You can start anytime.

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hear from a graduate

You won’t be doing it alone

With guidance from instructors and career coaches, Mikey overcame early doubts and kept moving forward.

tuition & payment

Pay your way, from $175/mo

Same tuition for every program, three ways to pay. Not sure which fits? Admissions can walk you through it.

most savings

Pay upfront

$10,000$4,000

Limited-time offer: save $6k on tuition.

  • Lowest total cost
  • Faster time to enrollment
  • Access to scholarships
most flexible

Installments

$280/mo$175/mo

Spread over 36 months.

  • 0% interest
  • No credit check
  • $99 deposit
most popular

Deferred

$10,000$8,500

Enroll now, pay later.

  • No payments during the course
  • No deposit required
  • Low monthly payments after

Backed by Tuition Protection

If you meet all program requirements and don’t secure qualifying employment within 9 months of graduation, you may be eligible for tuition relief or a refund.* Employer sponsorship and scholarships are available too.

faq

Frequently asked questions

Everything career changers ask about AI Data Analytics.

Still have questions?

Our admissions team can walk you through the program, schedule and payment options.

Talk to AdmissionsSee all FAQs

About the field

What is data analytics?

Data analytics is about examining and evaluating raw data to extract meaningful insights that support intelligent decision-making. You’ll learn statistics, the tools analysts use every day, and how to use AI in your analysis without trusting it blindly.

What are the career opportunities for data analytics professionals?

Data analytics is a growing field with opportunities across finance, healthcare, technology and more. Entry-level roles like Data Analyst or Business Analyst offer competitive salaries ranging from $70,000 to $120,000, while advanced positions in data science or machine learning can exceed six figures.

Is data analytics difficult?

The program is designed for people with no prior coding or data analytics experience. It’s challenging but rewarding, and it’s fast-paced, so be ready to work hard. The student to teacher ratio is about 1:4, which allows for more personalized attention.

The program

What does the curriculum look like?

It’s a 4-month, part-time program: pre-work plus 12 modules in four phases. Analyst foundations (statistics, Excel, SQL), the modern analyst stack (Python, AI-augmented workflows, dbt), visualization and BI (Tableau, Power BI, Looker Studio, Streamlit), then machine learning, career launch and a capstone.

How is AI part of the program?

Nearly every module ends with an AI lesson for that tool, and Module 5 is dedicated to AI-augmented analytics, including calling LLM APIs from Python. Projects carry an AI tier with a written AI Use Disclosure, and Capstone Path B is a full AI-augmented analytics project.

How does the schedule work?

It’s part-time. You can attend live daily sessions (recorded for later viewing) and work through self-paced videos, assignments and projects around your schedule, so you can keep your job while you learn.

Careers

What career support does Coding Temple offer?

Career services include:

  • Early career prep: workshops and alumni networking from day one.
  • Reverse recruiters: experts who find job opportunities tailored to your skills.
  • Interview preparation: mock technical and behavioral interviews.
  • Resume optimization: tailored feedback to highlight your strengths.
  • Exclusive job board (Prentus): AI-powered tools for your job search.
Does Coding Temple offer a job guarantee?

No. We do not guarantee employment. Through our Tuition Protection Program, students who meet all eligibility and program requirements may qualify for tuition relief or a refund if qualifying employment is not secured within the defined timeframe.

What career paths do alumni pursue?

Our alumni work in roles such as Data Analyst, Business Analyst, Data Scientist, and more. Many come from education, finance, healthcare, and marketing.

Ready to turn data into decisions?

Apply in about 2 minutes. No commitment, and admissions will help you pick the right start date.

Apply Now or talk to admissions

Start anytime 4.84/5 from 750+ reviews Tuition Protection