JOBSDEN DATA ANALYTICS PROGRAM
JOBSDEN DATA ANALYTICS
ONE PROGRAM • MULTIPLE CAREER FUTURES

MASTER DATA ANALYTICS.
BUILD SKILLS THAT
MOVE YOUR
CAREER FORWARD.

A practical, industry-focused program by Industrus Tech in collaboration with TECHTRIBE. Learn SQL, Spreadsheets, Power BI, Python, and data-driven problem solving through applied business projects. Build practical analytics skills, real-world projects, and career-ready portfolio evidence.

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3D Data Analyst Career Character
SQL Terminal
Python EDA
Data Pipeline
01 / 06 DATA ANALYST • SQL • Python • ETL • Modeling
3D Business Analyst Career Character
KPI Modeling
Process Flow
Requirements
02 / 06 BUSINESS ANALYST • KPI • Spreadsheets • Process • Requirements
3D BI Analyst Career Character
Power BI DAX
Star Schema
BI Dashboards
03 / 06 BI ANALYST • Power BI • DAX • Data Modeling • Dashboards
3D Operations Analyst Character
SLA Tracking
Automation
Process Cycles
04 / 06 OPERATIONS ANALYST • Process Flow • SLA • Automation • SQL
3D Data Visualization Specialist Character
3D Charts
Storytelling
Visual Design
05 / 06 DATA VISUALIZATION SPECIALIST • Visual Hierarchy • Power BI • Storytelling
3D Reporting Analyst Character
Cadence Schedules
SQL Extracts
Verified Rollups
06 / 06 REPORTING ANALYST • PostgreSQL • Cadence Automation • Reporting
06

CAREER PATHWAYS

Multiple career futures

06

PRACTICAL MODULES

Hands-on learning

04

REAL PROJECTS

Build job-ready portfolio

SQL+

INDUSTRY TOOLS

Power BI, Python & Excel

1:1

TECHTRIBE READINESS

Career acceleration pipeline

100%

PRACTICAL

Applied, not theoretical

CAREER PROGRESSION

YOUR JOURNEY FROM DATA TO IMPACT

Explore the 6 career directions and see how structured practical training translates into real business value. Click any pathway to jump directly to its curriculum alignment.

1. Learn

Master in-demand tools: Excel, PostgreSQL, Power BI, Python, and DAX.

2. Build

Work on 4 real-world business projects with live messy data sets.

3. Showcase

Create a standout verified portfolio reviewed by industry practitioners.

4. Get Hired

Get career guidance, CV alignment, and interview preparation from TechTribe.

PRACTICAL CURRICULUM

6 COMPREHENSIVE MODULES

An industry-aligned progression moving from business spreadsheets to advanced database querying, business intelligence, and Python data pipelines.

01. Foundations & Business Metrics

EXCEL • METRICS

Business analytics fundamentals, understanding unit economics, CAC, LTV, churn rate, retention cohorts, ROI analysis, and structured problem framing.

02. Modern Spreadsheets & Modeling

EXCEL • XLOOKUP

Advanced formula architecture, XLOOKUP, INDEX/MATCH, dynamic arrays, nested logic, PivotTables, data cleaning, and scenario modeling.

03. Relational SQL & PostgreSQL

POSTGRESQL • CTES

Writing performant queries, multi-table JOINs, subqueries, Common Table Expressions (WITH CTEs), Window Functions (ROW_NUMBER, RANK), and database aggregation.

04. Business Intelligence & Power BI

POWER BI • DAX

Data modeling, Star Schema (1:N relationships), calculated columns, DAX measures (CALCULATE, FILTER, ALL, RELATED), and executive dashboards.

05. Applied Python for Data Analysis

PYTHON • PANDAS

Python data stack (Pandas, NumPy, Matplotlib/Seaborn), automated ETL data cleaning, exploratory data analysis (EDA), handling missing values, and statistical summaries.

06. Capstone Portfolio & Storytelling

END-TO-END SUITE

End-to-end analytics workflow from raw messy data ingestion to SQL extraction, automated Python cleaning, interactive Power BI dashboard, and executive presentation.

MODULE 01 • FOUNDATIONS
// Unit Economics & Retention Modeling
INPUT: Transaction Logs → TECHNIQUE: Cohort Math → OUTPUT: LTV/CAC Target >= 3.0x
{
  "cac_calculation": "total_acquisition_cost / new_customers",
  "customer_ltv": "arpu * gross_margin / churn_rate",
  "retention_curve": "cohort_analysis(30d, 60d, 90d)"
}
// Advanced Excel Dynamic Lookup
INPUT: Raw Sheets → TECHNIQUE: XLOOKUP & INDEX/MATCH → OUTPUT: Cleaned Model
=XLOOKUP(A2, Customers[ID], Customers[Revenue], "Not Found", 0)

=INDEX(Sales[Amount], MATCH(1, (Sales[Region]="North")*(Sales[Year]=2024), 0))
-- PostgreSQL CTE & Window Function
INPUT: Relational DB → TECHNIQUE: WITH CTE & Window Functions → OUTPUT: Ranked Aggregation
WITH RankedCohorts AS (
  SELECT customer_id, region, revenue,
    ROW_NUMBER() OVER(PARTITION BY region ORDER BY revenue DESC) AS rank
  FROM transactions
)
SELECT * FROM RankedCohorts WHERE rank <= 5;
// Power BI DAX Measure
INPUT: Star Schema → TECHNIQUE: DAX CALCULATE → OUTPUT: Interactive KPI Slicers
Revenue_YTD =
CALCULATE(
  SUM(fct_orders[Revenue]),
  DATESYTD(dim_date[DateKey])
)
# Python Pandas Automated Cleaning
INPUT: CSV Dumps → TECHNIQUE: Pandas Outlier Filtering → OUTPUT: Clean DataFrame
import pandas as pd
df = pd.read_csv("orders_raw.csv")
df.dropna(subset=["customer_id"], inplace=True)
df["order_date"] = pd.to_datetime(df["order_date"])
kpi = df.groupby("cohort")["revenue"].sum()
// Capstone Enterprise Blueprint
FLOW: [DB Ingestion] → [SQL Extraction] → [Python ETL] → [Power BI Star Schema] → [Executive Decision]
STATUS: VERIFIED PRODUCTION PORTFOLIO SUITE
APPLIED PORTFOLIO

4 REAL-WORLD PROJECTS

Build a production-quality analytics portfolio that demonstrates verifiable competence to hiring teams and clients.

PROJECT 01

Executive Sales & Revenue Performance Dashboard

Revenue Velocity 18.4% YoY

Consolidate multi-channel transactions, calculate revenue velocity, identify regional variances, and build interactive Power BI slicers.

WHAT YOU'LL PROVE:
Excel Power BI DAX KPI Dashboarding
Stack:Excel, Power BI, DAX
Deliverable:Interactive Executive KPI Report
PROJECT 02

Customer Retention & Cohort LTV Query Suite

PostgreSQL Cohort Matrix CTE Windowed
CohortMonth 1Month 3LTV
Q1 2024100%78%$1,420
Q2 2024100%82%$1,650

Analyze user retention rates across signup cohorts, detect churn thresholds using PostgreSQL CTEs and window functions.

WHAT YOU'LL PROVE:
PostgreSQL CTEs Window Functions Cohort Analysis
Stack:PostgreSQL, SQL Window Functions
Deliverable:Repeat Purchase & Retention Model
PROJECT 03

Automated ETL & Outlier Detection Pipeline

Python Automated Ingestion Pipeline Healthy
Raw Ingest Pandas Clean Outlier Filter

Construct automated data extraction scripts in Python (Pandas) to clean messy incoming transactional CSV logs and remove anomalies.

WHAT YOU'LL PROVE:
Python Pandas NumPy Data Pipelines
Stack:Python, Pandas, NumPy
Deliverable:Self-healing ETL Pipeline Script
PROJECT 04

Enterprise BI End-to-End Capstone

Star Schema Architecture Production Ready
dim_customer fct_transactions dim_date

Complete data analysis lifecycle from database ingestion, relational data modeling, DAX measure creation, to executive storytelling.

WHAT YOU'LL PROVE:
Full Stack Analytics Data Modeling Executive Storytelling
Stack:Full Analytics Stack (SQL, BI, Python)
Deliverable:Production Portfolio Capstone
CAREER ECOSYSTEM

6 AUTHORITATIVE CAREER PATHWAYS

The skills taught in this program prepare you for diverse data analytics opportunities across modern business functions. Click any card to explore its core competencies.

PATHWAY 01

Data Analyst

Extract, clean, and interpret data to assist operational teams in identifying trends, anomalies, and performance metrics.

SQL Excel Power BI EDA
Core Foundation Role
PATHWAY 02

Business Analyst

Bridge technical data outputs and strategic business objectives by analyzing workflow efficiency and revenue metrics.

KPI Modeling Spreadsheets Reporting
Strategy & Process
PATHWAY 03

BI Analyst

Design, deploy, and maintain interactive business intelligence dashboards and automated reporting architectures.

Power BI DAX Data Modeling
Business Intelligence
PATHWAY 04

Operations Analyst

Monitor daily operational health, track SLA adherence, optimize process cycles, and automate performance workflows for teams.

Process Flow SLA Metrics Automation SQL
Process & SLAs
PATHWAY 05

Data Visualization Specialist

Transform complex, multidimensional datasets into clear visual dashboards, infographics, and executive presentations.

Visual Hierarchy Power BI Storytelling
Executive Storytelling
PATHWAY 06

Reporting Analyst

Extract database records via SQL, automate weekly reporting cadences, and distribute verified KPI rollups to stakeholders.

SQL / PostgreSQL Cadence Automation BI Reporting
Reporting Cadence
CAREER ACCELERATION PIPELINE

TECHTRIBE CAREER READINESS

A collaborative career support system by Industrus Tech × TECHTRIBE preparing candidates for practical career opportunities.

Industrus Tech (Technical Foundation) + TECHTRIBE (Career Readiness) = Candidate Readiness
STAGE 01

1. Core Skills

Master the tools and fundamentals of business analytics.

STAGE 02

2. Applied Projects

Build 4 end-to-end verified business analytics projects.

STAGE 03

3. Portfolio

Assemble an executive portfolio showcasing your technical capabilities.

STAGE 04

4. CV Alignment

Align resume bullet points to showcase applied data accomplishments.

STAGE 05

5. Interview Ready

Prepare for case interviews, SQL assessments, and stakeholder communication.

CURRENT INTRODUCTORY OFFER

BUILD SKILLS. BUILD EXPERIENCE.
BUILD YOUR CAREER.

A focused 2-month Data Analytics internship experience designed to help you develop practical analytics skills, complete applied projects, build portfolio evidence, and prepare for professional opportunities.

2 MONTHS Internship Experience
06 Practical Modules
04 Real-world Projects
06 Career Pathways
01 Completion Certificate
FREQUENTLY ASKED QUESTIONS

COMMON QUESTIONS

Clear answers to help you understand the curriculum, prerequisites, and registration details.

What is the JOBSDEN Data Analytics Program?

The JOBSDEN Data Analytics Program is a practical, industry-focused course and career program developed by Industrus Tech in collaboration with TECHTRIBE. It equips participants with applied competencies in spreadsheets, relational database querying (SQL), Power BI dashboards, Python data processing, and business storytelling.

Do I need prior coding experience to join?

No prior coding background is required. The curriculum begins with foundational analytical concepts and spreadsheet modeling before systematically progressing to SQL queries and introductory Python data manipulation.

What tools and software will I work with?

You will work directly with Microsoft Excel / Google Sheets, SQL (PostgreSQL), Microsoft Power BI for visual dashboards, and Python (Pandas & NumPy) for automated data cleaning and analysis.

How does the TECHTRIBE career collaboration work?

TECHTRIBE collaborates on career readiness aspects of the program, including aligning your resume with analytics roles, structuring your portfolio showcase with completed projects, and preparing for analytical interview discussions.

How do I find out about fees and schedule?

The standard program value is £659. We are currently offering an Introductory Program Fee of £249 (saving £410), or £200 with a valid partner/alumni referral code. For cohort schedules and enrolment details, reach out to our team on WhatsApp at +44 7459 294239 or click "Register Your Interest".

Will I receive a course completion certificate?

Yes. Participants who successfully complete the required modules, practical assignments, and capstone project will receive a verified Internship Completion Certificate from JOBSDEN by Industrus Tech in collaboration with TECHTRIBE.

YOUR NEXT CAREER MOVE STARTS WITH DATA.

Learn the tools. Build the projects. Build the evidence. Prepare for the opportunity with Industrus Tech × TECHTRIBE.

Talk to Us (+44 7459 294239)