According to a recent World Economic Forum (WEF) report, Data Analysts are the most in-demand job roles in the next decade

I help busy data professionals to design effective learning strategies to achieve their career development goals.

I have supported over 200 students on their transition journey from identifying the skills gap to designing a learning plan to bridge the skill gap.

The problem most people face is under 3 main buckets:

1. Lack of Experience
2. Lack of Exposure
3. Inability to effectively market their data analytics skills

These are challenges many career transitioners face when transitioning to data analytics

I have worked with many clients to solve these challenges which has led to them getting their dream jobs

Here are the benefits you will get from investing in the Data Analyst GTM bundle:

1. Learn how to send in the perfect job application
2. Proven Cold Message Script to Hiring Managers
3. Guide to Designing a Winning Portfolio Project
4. Differentiating yourself on LinkedIn (10 Attention-grabbing post guides)
5. Resume Review
6. 6 - 8 bookable coaching hours.
7. Be part of a community of professionals that support your growth

Here’s a detailed week-by-week breakdown of the Data Analyst Go-To-Market Accelerator Program—custom-built to take learners from basic technical skills to job-ready confidence. Each week balances hard skills, soft skills, and go-to-market strategy to equip participants to stand out in the job market and get hired.

🗓️ Week 1: Data Preparation in Excel | Building Standout Portfolios

Lecture (Tuesday):

• How Analysts Use Excel to Clean and Transform Data
• Common Data Quality Issues and How to Fix Them (missing data, inconsistent formats, duplicates)
• Basic Excel Functions for Data Prep: `IF`, `VLOOKUP`, `TEXT`, `TRIM`, `CLEAN`, etc.
• Real-world data cleaning walkthrough using a messy dataset
• Introduction to creating a portfolio that stands out in a competitive market

Office Hours (Thursday):

• Troubleshooting Excel data issues together
• Hands-on practice: fix a messy dataset live
• Peer review: early feedback on portfolio ideas

## 🗓️ **Week 2: Excel Deep Dive for Analysts**

**Lecture (Tuesday):**

* Advanced Excel techniques for data analysis

* Logical and nested formulas: `IFERROR`, `IFS`, `INDEX/MATCH`, `XLOOKUP`

* Data Aggregation with PivotTables and Power Query basics

* Using Named Ranges and Dynamic Arrays (`FILTER`, `UNIQUE`, `SORT`)

* Automating repetitive tasks with basic macros

**Office Hours (Thursday):**

* Hands-on: PivotTables + Dynamic Dashboards

* Help with formulas and Power Query logic

* Portfolio Enhancement: turn an Excel analysis into a portfolio case study

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## 🗓️ **Week 3: Data Preparation in SQL | Resumes That Convert**

**Lecture (Tuesday):**

* Introduction to databases and writing SQL queries

* Filtering, Sorting, Grouping, Aggregating

* Writing `JOIN` queries (INNER, LEFT, RIGHT)

* Common errors and how to debug them

* Resume Strategy:

* How to craft a Data Analyst resume that beats ATS

* Real examples of resumes before/after

* Writing compelling bullet points using metrics and impact

**Office Hours (Thursday):**

* Live SQL query review + resume critiques

* Help translating project work into resume-ready bullets

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## 🗓️ **Week 4: SQL Deep Dive | Technical Interview Prep**

**Lecture (Tuesday):**

* Advanced SQL: Window Functions, CTEs, Subqueries, `CASE WHEN`

* Real business use cases: running totals, rankings, percent-of-total

* Query optimization tips

* Intro to SQL Interview Frameworks:

* How to “think out loud”

* Types of SQL questions (churn, funnel, cohort)

* Answer structure (goal → strategy → code → verify)

**Office Hours (Thursday):**

* Live SQL practice with feedback

* Mock interview drills + query walkthroughs

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## 🗓️ **Week 5: Portfolio Project Week (Excel + SQL)**

**Lecture (Tuesday):**

* How to scope and frame a mini project using Excel and SQL

* Turning raw datasets into storytelling assets

* Project planning template: problem statement, tools used, insights generated

* How to document and share a portfolio project on GitHub or Notion

**Office Hours (Thursday):**

* Live help with Excel + SQL integration

* Review project drafts + headline writing for case studies

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## 🗓️ **Week 6: Data Analytics Interview Excellence**

**Lecture (Tuesday):**

* The 4 Types of Analyst Interviews: Behavioral, Technical, Business Case, Portfolio

* STAR Framework Mastery (with prompts and examples)

* What Hiring Managers Want (based on real recruiter feedback)

* How to talk about your portfolio with confidence and clarity

**Office Hours (Thursday):**

* Mock interviews and role plays

* Personalized feedback on storytelling and delivery

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## 🗓️ **Week 7: Data Preparation in Tableau | Data Modeling Techniques**

**Lecture (Tuesday):**

* Getting Started with Tableau: Interface, Connecting to Data, Data Types

* Cleaning and reshaping data in Tableau (Pivot, Split, Group, Replace)

* Intro to Data Modeling: Relationships vs Joins, Cardinality, Star Schema

* Mapping messy business logic into clean models

**Office Hours (Thursday):**

* Live Tableau data prep walkthrough

* Hands-on data model reviews (based on student project ideas)

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## 🗓️ **Week 8: Tableau Deep Dive | SQL + Tableau Project**

**Lecture (Tuesday):**

* Creating Impactful Dashboards in Tableau:

* Filters, Parameters, Interactivity

* Using Level of Detail (LOD) Expressions

* Best practices in chart selection, visual storytelling

* Project Scoping: building a dashboard powered by SQL output

**Office Hours (Thursday):**

* Dashboard peer reviews

* Tableau polishing clinic: layout, formatting, tooltips

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## 🗓️ **Week 9: Data Storytelling | Ace Your Take-Home Presentation**

**Lecture (Tuesday):**

* How to present data to non-technical stakeholders

* The Business Storytelling Framework:

* Problem → Analysis → Insight → Action

* Slide Design Principles: clarity, hierarchy, visuals

* Presenting your take-home assignment like a consultant

**Office Hours (Thursday):**

* Presentation feedback loop

* Take-home assignments: rehearsals + critique

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## 🗓️ **Week 10: The Go-To-Market Strategy & Job Offer Preparation**

**Lecture (Tuesday):**

* How to Build Your Job Search Pipeline

* Reverse-engineering job descriptions

* Strategic networking on LinkedIn

* Tools: Hunter.io, ChatGPT, Careerflow\.ai

* Final checklist: portfolio, resume, interview prep

* Negotiating Your First Offer + Setting Career Goals

**Office Hours (Thursday):**

* Final Q&A on job search strategy

* Resume + Portfolio final reviews

* Celebration + Next Steps: referrals, coaching, peer accountability.

I made a bold prediction at the start of the year:

2025 is the year many career transitioners assume data analytics titles.

Unlock your wildest data career dreams by investing in the Data Analyst GTM coaching bundle

* Installment Payment Option available

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