Business & Data Analytics with AI

Turn Data Into Decisions and Decisions Into a Six-Figure Career

Master AI-powered data analytics from the ground up. Real datasets, live instructor training, hands-on projects, and career support until you're hired.

  • $85K–$140K Typical Starting Salary
  • 8 Modules Structured Curriculum
  • 6+ Projects Real-World Portfolio
Insight delivered
$85K–$140K
Data Analyst · U.S. Career Path
Career Support Until Hired

Resume building, interview prep, recruiter marketing, and job placement guidance until an offer is on the table.

Microsoft Excel SQL Power BI Python Pandas LLMs Tableau Statistics Scikit-learn Jupyter Prompt Engineering many more

Our graduates are trusted by data teams across the U.S.

E-Verified by USCIS
★ 4.8/5
Google Reviews
★ 4.8/5
Course Report
★ 4.7/5
Career Karma
★ 4.6/5
Trustpilot
  • 🛡️ E-Verified by USCIS
  • 🏢 Offices in New York & Los Angeles
  • 📚 12+ years
  • 👨‍🎓 92+ data analytics graduates placed
  • 🤝 100+ hiring partners
Why Now

The world runs on data. AI just made data professionals irreplaceable.

Every business decision, from pricing and hiring to marketing and operations, now depends on data analysis. Companies need analysts who can work with AI to move faster and smarter than the competition.

The market reality:

🔥
4.7 million+ data and analytics job openings projected in the U.S. by 2026
📈
36% projected growth in data analyst roles over the next decade
🤖
72% of companies actively hiring analysts who can use AI tools right now
💰
$85K–$140K typical U.S. starting salary
🌎
100% remote-friendly across every industry
🎓
No advanced degree just the right skills and portfolio

"Data analytics with AI is not the future. It's the job market of right now."

If you miss this wave, you'll watch others land six-figure careers while you stay stuck.

Your Transformation

From "I don't know where to start" → "I just signed an offer as a Data Analyst."

This isn't a course. It's a career identity shift.

BEFORE Transfotech
AFTER Transfotech
Stuck in a role with no growth
Working in a high-demand tech career
Overwhelmed by data tools
Fluent in Excel, SQL, Python, and Power BI
Ignored by recruiters
Getting calls from data teams every week
No portfolio to show
A project-based portfolio employers can see
Guessing at business problems
Delivering AI-powered insights with confidence
"Is this even possible for me?"
"I actually did it."
Expert Instructors

Learn from Industry Professionals

Our instructor is an AI/ML practitioner with deep experience building real AI systems. Every lesson is built from the field, not a textbook.

Ryana Quadir
Lead Instructor

Ryana Quadir

AI/ML Researcher & Software Quality Engineering Lead

Ryana Quadir is an AI/ML researcher and experienced Software Quality Engineering professional with over 12 years of experience in QA, test automation, and data analytics. She has held roles at leading organizations including Samsung Research and Development and Stibo DX, where she focused on building scalable, data-driven solutions. Affiliated with Charles Darwin University, she has contributed to AI/ML research with publications in multiple Q1-ranked journals. She holds an M.Sc. in Computer & Information Systems from the University of Michigan-Dearborn.

AI/ML ResearchTest AutomationData AnalyticsQA Engineering12+ Yrs
Connect on LinkedIn
12+ Years of industry experience
Q1 Ranked journal publications
2 Top employers: Samsung R&D & Stibo DX
M.Sc. University of Michigan-Dearborn
Curriculum

8 modules. 6 projects. AI-powered analytics from day one.

A structured, instructor-led program designed to take you from data beginner to job-ready analytics professional. Every module ends with a real deliverable: dashboards, models, reports, and portfolio pieces.

Module 01 · Data Foundations

Data Foundations & Business Metrics

Build the analytics mindset employers look for.

Start with the data lifecycle, analytics thinking, business KPIs, and the difference between descriptive, diagnostic, predictive, and prescriptive analytics. Build your first Excel dashboard and learn how analysts turn raw numbers into decisions.

Core Activities

  • Data lifecycle management
  • Analytics thinking: descriptive, diagnostic, predictive, prescriptive
  • Business metrics and KPI definition
  • Excel Pivot Tables, XLOOKUP, and dashboard basics
  • Portfolio-ready business KPI dashboard

Labs & Tools

  • Microsoft Excel
  • Real sales and customer datasets
  • Excel dashboards and Pivot Tables
  • ChatGPT for KPI and insight drafting
ExcelKPIsDashboardsBusiness MetricsData Lifecycle
Module 02 · SQL & Data Preparation

SQL Querying & Data Preparation

Build the analyst's workbench. Master business querying.

Learn SQL from the ground up: SELECT statements, filters, joins, aggregations, CTEs, and window functions. Extract, transform, and prepare business data for analysis using real sales, customer, and operations datasets.

Core Activities

  • SQL queries, filters, aggregations, and JOINs
  • CTEs, window functions, and business query writing
  • Data extraction, transformation, and loading
  • Cleaning messy business data before analysis
  • AI-assisted SQL debugging and query optimization

Labs & Tools

  • SQL, MySQL, and PostgreSQL
  • Real business database exercises
  • SQL labs for business scenario analysis
  • Claude and ChatGPT for query troubleshooting
SQLJOINsCTEsWindow FunctionsETL
Module 03 · Python & Statistics

Python, Statistics & Business Analysis

Think like an analyst. Test before you recommend.

Use Python, Pandas, NumPy, and Jupyter to clean, analyze, and automate data workflows. Learn descriptive statistics, probability, hypothesis testing, A/B testing, regression, and correlation analysis.

Core Activities

  • Python for data manipulation and automation
  • Descriptive statistics and probability
  • Hypothesis testing and A/B testing
  • Regression and correlation analysis
  • Automated data cleaning notebooks

Labs & Tools

  • Python and Jupyter Notebooks
  • Pandas and NumPy
  • Matplotlib and Seaborn
  • Real customer and sales datasets
PythonPandasStatisticsA/B TestingRegression
Module 04 · Visualization & BI

Visualization & Business Intelligence

The core of the program: dashboards, storytelling, and executive-ready BI.

Build interactive dashboards in Power BI and Tableau using real business datasets. Learn chart selection, DAX basics, KPI communication, stakeholder storytelling, and AI-assisted dashboard design.

Core Activities

  • Dashboard design and business storytelling
  • Power BI and Tableau interactive reporting
  • DAX formulas, measures, and business KPIs
  • AI-assisted chart selection and layouts
  • Executive reporting and insight presentation

Labs & Tools

  • Power BI
  • Tableau
  • DAX and Power Query
  • AI BI copilots and dashboard templates
Power BITableauDAXDashboardsStorytelling
Module 05 · AI-Assisted Analytics

AI-Assisted Analytics Workflows

Clean, visualize, and report faster with AI as your co-analyst.

Use ChatGPT, Claude, Copilot, and BI copilots to detect data issues, generate SQL and Python, summarize findings, and automate reporting. Learn prompt engineering for data tasks and build repeatable AI-powered analytics workflows.

Core Activities

  • Prompt engineering for data tasks
  • AI-assisted data cleaning and validation
  • AI-powered code generation for SQL and Python
  • Automated reporting workflows
  • Business insight summaries with LLMs

Labs & Tools

  • ChatGPT and Claude
  • GitHub Copilot
  • Power BI and Tableau AI copilots
  • OpenAI, Claude, and business datasets
ChatGPTClaudeCopilotPrompt EngineeringAutomated Reports
Module 06 · Machine Learning

Machine Learning & Predictive Analytics

Move from explaining what happened to predicting what comes next.

Apply supervised and unsupervised machine learning to real business problems. Build regression, classification, clustering, churn prediction, and sales forecasting models, then translate model results into business recommendations.

Core Activities

  • Supervised learning: regression and classification
  • Unsupervised learning: clustering
  • Customer churn prediction
  • Sales forecasting and model evaluation
  • Business interpretation and model storytelling

Labs & Tools

  • Scikit-learn
  • Google Colab
  • Python ML notebooks
  • Real sales and customer datasets
Scikit-learnRegressionClassificationClusteringForecasting
Module 07 · NLP & Customer Intelligence

NLP & Customer Intelligence

Turn unstructured text into business insight.

Analyze customer feedback, reviews, survey responses, and support tickets using NLP. Learn sentiment analysis, topic modeling, text classification, and LLM-assisted customer insight workflows.

Core Activities

  • Sentiment analysis and topic modeling
  • Customer feedback analysis
  • Text classification and keyword extraction
  • LLM-assisted text summaries
  • Customer experience recommendations

Labs & Tools

  • NLTK and spaCy
  • HuggingFace models
  • Customer review datasets
  • ChatGPT and Claude for NLP
NLPspaCyNLTKSentimentTopic Modeling
Module 08 · Decision Intelligence

Decision Intelligence & AI-Powered Reporting

Use AI to move from analysis to action.

Build scenario models, what-if simulations, decision frameworks, and automated executive reports. Use prompt chaining to move from raw data to recommendations stakeholders can act on.

Core Activities

  • Scenario modeling and what-if analysis
  • Decision intelligence and optimization
  • AI-powered report generation
  • Prompt chaining for analytics workflows

Labs & Tools

  • Claude and ChatGPT
  • Power BI and Excel scenario models
  • Real business datasets for report validation
Scenario ModelingWhat-If AnalysisAI ReportingDecision Intelligence
Module 09 · Capstone Project

Portfolio Capstone Project

The portfolio project that makes your skills visible.

Build a full, portfolio-grade analytics project using a real business dataset. Define the problem, clean the data, query it, visualize it, apply predictive techniques, and present recommendations in an executive-ready format.

Core Activities

  • Problem definition and business requirements
  • Data cleaning, SQL querying, and feature preparation
  • Dashboard, forecast, and business recommendation
  • Executive presentation and portfolio walkthrough
  • Capstone project review

Labs & Tools

  • Capstone dataset and project brief
  • Power BI or Tableau dashboard
  • Python notebook and SQL analysis
  • ChatGPT for executive summary drafting
CapstonePortfolioDashboardForecastPresentation
Career Module · Job Search Support

Career Support & Analytics Job Readiness

Turn hands-on analytics work into a signed job offer.

Build an ATS-optimized LinkedIn profile and resume tailored to data analyst job descriptions. Create a portfolio with dashboards, notebooks, reports, and AI analytics workflows. Practice interviews, technical walkthroughs, and U.S. salary negotiation.

Core Activities

  • LinkedIn, resume, and job portal build-up
  • AI-optimized resume for data analyst roles
  • Dashboard and GitHub portfolio positioning
  • Mock technical interviews and case walkthroughs
  • U.S. analytics salary negotiation with benchmark data

Labs & Tools

  • LinkedIn, GitHub, Jobscan, and Teal
  • Resume Worded and ATS optimization tools
  • Glassdoor and data analyst career pathway research
  • Claude and ChatGPT for resume tailoring and mock interviews
LinkedInAnalytics PortfolioATS OptimizationMock InterviewsSalary Negotiation
Skills & Tools You'll Master

The same stack real analytics teams use every day.

Core Analytics · Business Intelligence · Machine Learning · AI-Assisted Analytics.

Microsoft Excel
Python
Power BI
Python
ZeSQL
Jupyter Notebooks
Tableau
Statistics Scikit-learn
Scikit-learn
Matplotlib
Seaborn
Plotly
Google Colab
Dashboard Design
Business KPIs
IDS/IPS
Statistics
ChatGPT
Claude
GitHub Copilot
Power BI Copilot
OpenAI API
Prompt Engineering
SQL Practice
GitHub
A/B Testing
Customer Analytics
Forecasting

By graduation, you'll be fluent in the exact tools listed in U.S. data analyst job descriptions.

The Transfotech Way

Six steps from zero to hired.

Our proven roadmap from your first free call to landing a data analytics role with a real paycheck.

8 ModulesStudents trained
100+Hiring partners
12+Years of experience
100%Project-based
Step 01

Career Counseling

Meet a real advisor. Clarify your goals. Walk away with a personalized roadmap before you pay a dollar.

Step 02

Enrollment

Enroll online in minutes. Get instant access to all modules, live class schedule, and the full LMS.

Step 03

Lectures & Labs

Live online classes, 2–3 hours, twice a week. Build dashboards, run SQL queries, and analyze real datasets every session.

Step 04

Capstone Project

Build a full, portfolio-grade analytics project: the centerpiece of your job search and every interview conversation.

Step 05

Interview Preparation

Mock interviews. Technical drills. Salary negotiation coaching. Until you're walking into every call with confidence.

Step 06

Job Marketing

Our recruiter team works your resume across 100+ staffing firms and hiring partners until you get hired.

Free consultation  ·  No enrollment fee  ·  Placement support until hired

Our Story

See how we transform data careers

Watch how students build analytics skills, project portfolios, and job-ready confidence with Transfotech Academy.

8 Modules Students trained
100% Project-based learning
60%+ Job-ready graduates
Transfotech Academy
8:42

Watch our story

Inside the Program

Train with real datasets used by professionals.

From day one you clean real data, build live dashboards, run models, and use AI as your analytics co-pilot.

analyst@transfotech:~/analytics-lab

analyst@data:~/analytics-lab

└─$ python clean_sales_data.py --input sales.csv

Loading sales.csv with 24,508 rows

STEP      STATUS  DETAIL

missing values   fixed  3 columns imputed

duplicates        removed  128 rows

date fields      parsed  100% valid

outliers         flagged  REVIEW

Data clean: dashboard-ready dataset exported

└─$ jupyter notebook

Python · Data Cleaning Lab
Plotly Enterprise · Analytics Dashboard
47
Revenue Variance
1,284
Rows Analyzed
99.2%
Data Quality
Sales Performance — Last 12 Months
HIGH Customer churn risk · Northeast segment
MED Margin drop detected · Product line B
LOW Campaign lift detected · Email channel
Power BI · Business Intelligence Dashboard
Tableau Professional · Executive View
Overview KPIs Forecast Segments
LIVE INSIGHT
SELECT region, revenue, margin FROM sales
Dataset: retail_sales_2026.csv
Model: revenue_forecast_v2
Segment: enterprise customers
 
{"recommendation":"increase inventory in Northeast"}
ACTIONABLE Revenue opportunity confirmed
Tableau · Executive Analytics Dashboard
Learning Experience

The way you learn here is the way you'll work.

🎥

Live Online Classes

Real instructors, live. 2–3 hour sessions, twice a week ask questions, get answers in real time.

📼

Lifetime LMS Access

Every class recorded. Every lab saved. Rewatch and re-learn forever even after you're hired.

🧪

Dashboard Building From Day 1

Build your first dashboard in Module 1. By graduation, you have an executive-ready Power BI portfolio a hiring manager can open.

👨‍🏫

1:1 Career Support

A dedicated mentor from an active data or analytics role from Day 1 through your signed offer.

🧠

AI-Assisted Analysis

Use ChatGPT and LLMs as your analytics co-pilot. Automate reports, generate insights, clean data faster, and build AI-powered workflows.

📅

Flexible for Working Adults

Evening classes. Full recordings. 10–15 hours/week. Keep your paycheck while you build your next career.

🚫

No Prerequisites

No prior coding or statistics background required. Most students come from non-technical careers.

Inside the Program

A thriving community
of data analytics professionals.

Every cohort is live, interactive, and supported by a full LMS — recordings, labs, and direct instructor access included from day one.

8 ModulesStudents Enrolled
92+Program Graduates
97LMS Courses
Transfotech Academy data analytics graduates
🎓 Transfotech Academy Graduates

Meet Our Recent Graduates

These are real students who completed the Data Analytics Engineering Program at Transfotech Academy — now certified, skilled, and actively pursuing their data analytics careers.

01
Transfotech Academy live data analytics class on Zoom
Live Every Week

Weekly Live Webinars

30+ classmates, direct Q&A with your instructor, and recorded replays — so you never fall behind.

  • Zoom-based interactive sessions
  • Full session recordings in LMS
  • Cohort of 30+ driven peers
02
Transfotech Academy LMS showing 97 courses
97 Courses Available

Full-Featured LMS

Your own learning dashboard with self-paced modules, labs, quizzes, and assignment tracking — all at lms.transfotechacademy.com.

  • 97 structured courses
  • Labs, quizzes & assignments
  • Access from day one
Student Reviews

Real reviews from real graduates.

Verified Google reviews from students who transformed their careers at Transfotech Academy.

Graduate Careers

Real people. Real results.

Data analytics is not one job. It is your entire career ladder across startups, enterprises, consulting firms, and government contractors.

Nisha Chibba
Nisha Chibba Data Analyst

"The hands-on labs and AI-integrated curriculum gave me the edge I needed to land my first data analytics role."

Hired ✓
Shah Jakaria
Shah Jakaria Data Analyst

"Real-world analytics projects prepared me better than any passive analytics course I've taken."

Hired ✓
Chamika Haturusinghe
Chamika Haturusinghe BI Analyst

"From zero IT background to BI Analyst — the mentorship and placement support made all the difference."

Hired ✓
Brice Bouesse
Brice Bouesse BI Analyst

"The GenAI analytics modules were unlike anything else out there. I referenced them in every interview."

Hired ✓
$85K–$140K Typical starting salary range
60%+ Job-ready graduates
92+ Analytics graduates supported
100+ Hiring partners nationwide
Hands-On Learning

The way you learn here is the way you'll work.

Every module connects technical skills to real business outcomes, with portfolio pieces you can show in interviews.

Executive KPI Dashboard

Build an executive-ready dashboard using sales, customer, or operations data. Document the insight and recommendation.

AI-Powered Report Generator

Build an AI-assisted workflow that pulls, analyzes, and summarizes business data automatically.

Predictive Analytics Model

Predict churn, sales performance, or campaign outcomes with a model you can explain to business stakeholders.

Customer Insight Portfolio

Analyze customer behavior, feedback, or marketing performance and turn findings into action.

Power BI Portfolio Dashboard

Build a working Power BI dashboard, define KPIs, and present an executive-ready analytics report.

Career Careers

Data analytics isn't one job. It's your entire career ladder.

Entry-Level Roles (Start Here):

RoleTypical U.S. Salary
Data Analyst$70K–$95K
Business Analyst$75K–$100K
Reporting Analyst$80K–$110K
BI Analyst$85K–$115K
Operations Analyst$80K–$110K
Marketing Analyst$70K–$95K
Machine Learning Analyst$90K–$120K
Junior Data Scientist$75K–$105K

Next-Level Roles (Within 1–2 Years):

Senior Data Analyst$110K–$140K
Data Consultant$120K–$160K
NLP & Text Engineer$130K–$160K
Decision Intelligence Analyst$130K–$160K+
Career Support

We don't stop working until you sign an offer.

End-to-end placement support from your first resume edit to the day you start work.

  • Resume + LinkedIn + Job Portal build-up
  • 1:1 coaching and mock interview sessions
  • Personalized recruiter support with hiring partners
  • AI-optimized resume tailored to data analyst job descriptions
  • Access to 100+ staffing-firm hiring partner network
  • Salary negotiation coaching with U.S. market benchmark data
JP
Jordan P.
Senior ML Engineer · Instructor
Your feature pipeline looks solid. One note: try stratifying the split your class imbalance is hiding in the folds.
Got it rerunning with StratifiedKFold now. Thanks!
SR
Sara R.
Career Coach

We don't stop working until you sign an offer.

End-to-end placement support from your first resume edit to the day you start work.

  1. 1Resume + LinkedIn + Job Portal build-up
  2. 21:1 coaching + mock interview sessions
  3. 3Personalized recruiter support with hiring partners
  4. 4Free full course retake if you need more reps
  5. 5AI-optimized resume tailored to data analyst job descriptions
  6. 6Salary negotiation coaching with U.S. market benchmark data
  7. 7Access to our 100+ staffing-firm hiring network
Our Packages

Three Paths to Career Transformation

Three flexible payment paths. No enrollment fee. No risk — job guarantee or 100% of your tuition back.

ENTRY LEVEL

Quick Starter Pack

$4,999
$6,000 Save $1,001

$500 / month × 10 months

+ $499 / month × 1 month

  • Self-Paced LMS Learning
  • Live Instructor Classes
  • Private Student Community
  • Lifetime Class Recordings
  • Real-World Internship Projects
  • Resume & Portfolio Support
  • Job Placement Assistance
LIFETIME ACCESS

Done for Life

$2,900
One-Time Upfront
  • Everything in Best Value
  • Fast-Track Interview Support
  • Priority 1-on-1 Career Support
  • 2-Year Free Retake Access
  • Job Placement Guidance until hired
  • Verified Experience + Career Advancement Support
  • Mock Interviews & Test Practice
Transfotech Academy Transfotech Academy

Certificate of Completion

Business & Data Analytics with AI

Awarded to

Your Full Name

Your Credential

Earn a certificate that opens doors.

Graduate with a Transfotech Academy Business & Data Analytics with AI Certificate: verified, LinkedIn-ready, and shareable.

  • Verified by Transfotech Academy
  • LinkedIn-ready one click to add
  • Covers all 8 modules + capstone
  • Shareable credential link
  • Plus: portfolio projects, dashboards, and AI analytics workflows
● Enrollment Open ⚠ Limited Seats

Next Cohort Starts May 15, 2026

Secure your spot now. Once seats fill up, enrollment closes until the next cohort — no exceptions.

-- Days
:
-- Hours
:
-- Minutes
:
-- Seconds
Cohort Capacity: 25 Seats 18 of 25 taken

⚠ Only 7 spots remaining — enrollment closes when capacity is reached

🎁
Early Enrollment Bonus

$500 tuition discount for this cohort only

📞
Free Career Strategy Call

1:1 session with a senior advisor before you start

🏆
Priority Placement Support

First-access to 100+ hiring partner network

Free 20-min call · No commitment · Spot reserved after consultation

FAQ

Questions we hear most.

Do I need a math or coding background?

No. The program starts from the foundations. If you understand basic arithmetic and can use a computer, we'll get you job-ready. Most students come from non-technical backgrounds.

How long is the program?

8 modules, typically completed in 18 weeks full-time or as a flexible part-time option. Talk to an advisor about the right pace for you.

How many hours per week do I need?

Plan for 10–15 hours per week. Live classes are 2–3 hours, twice a week, with additional project and lab time on your schedule.

Are classes live or self-paced?

Both. Attend live sessions for real-time training, or catch up any time with full LMS recording access.

Will I get real career help finding a job?

Yes, placement support until you're hired. Resume, LinkedIn, mock interviews, recruiter marketing, and access to 100+ hiring partners.

What jobs do graduates typically land?

Data Analyst, Business Analyst, BI Analyst, AI Analyst, Reporting Analyst, Operations Analyst, Marketing Analyst across U.S. startups, enterprises, consulting firms, and government contractors.

Do I get a certificate?

Yes. A Transfotech Academy Business & Data Analytics with AI Certificate: verified, LinkedIn-ready, and shareable.

Can I do this while working full-time?

Absolutely. Most of our students are working adults. Evening live classes and full recording access make it doable.

What payment options are available?

Four flexible plans starting at $500/month or a one-time payment of $2,499. No enrollment fee. Talk to an advisor about what fits your budget.

What makes Transfotech different?

E-Verified by USCIS · 12+ years training · 8 Modules graduates · U.S. offices in NY & LA · Job placement support until hired · GenAI-integrated curriculum · In-house internship · 1:1 mentorship.

What if I'm still not sure?

That's exactly what the free consultation call is for. 20 minutes, no sales pitch, just clarity on whether this is right for you.

Your data analytics career starts with one 20-minute call.

Every company in the world is sitting on data they don't know how to use. You could be the person who changes that and earns $85K–$140K+ doing it.

Free · 20-minute call · No commitment · Placement support until hired · Next cohort starts soon