Data Analytics, Simplified

We make analytics, simple.

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Meet Lorita Shaw, MBA

Founder of Data Analytics, Simplified

How it Started

I was analyzing data in Excel without realizing I was already doing the work of an analyst. I just didn’t have the tools — yet.
A turning point came when my manager took me under her wing and introduced me to SQL.
She helped me take ownership of my work instead of waiting on others for data. She changed my life and to this day I pray that she experiences nothing but great things. 
That one skill changed everything and gave me real confidence.
Now, I teach others the same way — through exposure, support, and hands-on learning.

You don't need a tech degree. You just need the right tools, support, and someone who's been there. 

Start Learning Now

Real Results From Real Students

Date Range:

October 2024 - January 2025

At Data Analytics, Simplified, I don't just teach SQL - I help students transition into analytics careers faster than the industry standard.

  • 50% of students secured job offers - some with multiple offers.
  • 71% landed multiple interviews, fast-tracking their transitions.
  • Salary increases range from 12% - 17%, with some now earning six figures.
  • Students have transitioned from medical billing, marketing, government, and QA into analytics roles. 

These results prove that with the right skills, strategy, and support, breaking into analytics is achievable - often in less than six months. 

Everything you Need to Launch Your Analytics Career

Learn By Doing

Live, Interactive Learning:
  • Actively participate in live coding sessions where you learn by doing.
  • Ask questions in real-time to gain clarity and grasp concepts immediately.
  • Interactive quizzes ensure thorough understanding before moving forward.
Build Your Portfolio:
  • Receive weekly coding challenges post-course via email. Participate in these coding challenges for a chance to practice your new skills!
  • Showcase your skills to prospective employers, tackle real-world scenarios, and enhance your professional portfolio.
Comprehensive Training:
  • Dive into 4 modules, each structured for 1.5-2 hour sessions.
  • Total up to ~12 hours of in-depth live technical training and career coaching
  • Certificate After Completion to show proficiency.  

Get Full Support

Long-Term Mentorship
  • Tailored Guidance: Receive personalized assistance to address your unique challenges and reinforce your learning.
  • Extended Support: Benefit from long-term support that continues up to three months after the course ends.
  • One-on-One Mentorship: Gain direct access to me for help with coding challenges, project reviews, and skill development.
  • Discounted Access to Existing and New Products.
Career Coaching:
  • 4 hours of structured expert led career coaching sessions.

  • Tailored Career Guidance: Our expert-led career coaching sessions provide personalized advice on LinkedIn optimization, resume building, and interview preparation, giving you a competitive edge in the job market.

  • Strategic Job Transition Support: Gain actionable insights and strategies to confidently navigate your career transition, ensuring you stand out to employers and secure roles that align with your goals.

Group or 1-on-1 Options
  • Enjoy intimate learning with no more than 5 participants per course, or opt for personalized individual sessions.
  • This ensures focused attention for every participant.

This isn't just a course - it's your career pivot plan. Let's make it happen.

Choose Your Learning Path

Course 1: Introduction to SQL

Objective: Introduce students to the world of databases and SQL with a clear understanding of how basic syntax works in real-world scenarios. 

Key Takeaways:

  • Learn what databases are, why they mater, and how they're used in business.
  • Understand different types of databases and when to use them. 
  • Define SQL and understand how it supports data retrieval and management. 
  • Write foundational SQL queries using commands such as SELECT, INSERT, UPDATE, and DELETE.
  • Filter and sort data using WHERE and ORDER BY.
  • Gain hands on experience working with sample data to reinforce each concept.
  •  

Course 2: Mastering Data Retrieval & Aggregates

Objective: Equip students with the skills to retrieve, sort, and manipulate data using SQL. This course builds on foundational knowledge and introduces more advanced querying techniques for real-world analysis. 

Key Takeaways:

  • Retrieve data efficiently using advanced SQL queries.
  • Filter data using complex conditions and logical operators.
  • Sort and limit query results using ORDER BY and LIMIT clauses.
  • Modify data using INSERT, UPDATE, and DELETE commands.
  • Apply aggregate functions such as COUNT, SUM, AVG, MIN, and MAX.
  • Use aggregate functions to perform group-level calculations and summarize data groups.

 

 

Course 3: Joining Forces - SQL Joins, Subqueries & Case Statements 

Objective: Provide students with advanced SQL querying techniques, including joins, conditional logic, and subqueries. Empowering my students to retrieve and manipulate complex datasets with confidence. 

Key Takeaways:

  • Understand and apply various types of joins to combine data across multiple tables. 
  • Use CASE statements for adding conditional expressions in queries.
  • Write and incorporate subqueries to break down complex problems.
  • Apply DISTINCT to eliminate duplicate records from result sets. 
  • Work with string functions such as CONCAT, UPPER, LOWER, and LENGTH.
  •  

Course 4: SQL Horizon - Window Functions, CTEs, & Views Mastery 

Objective: Teach students how to create and manage SQL views, work with CTSs, and apply window functions to advanced analytics and data transformation. 

Key Takeaways: 

  • Understand and create SQL views for streamlined data abstraction.
  • Manage and manipulate views, including creating, updating, and deleting them.
  • Understand and Create CTEs
  • Utilize advanced SQL functions, including window functions for analytical tasks.
  • Apply window functions for complex data analysis, using various types of window functions like RANK, ROW_NUMBER, and DENSE_RANK.

Yes - Payment Plans Are Available

You can split your payment using Affirm or Klarna - no credit card stress. Need a more individualized plan? Just email me - I'm happy to help. 

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You Could Get Reimbursed - Here's How

Many of our students have used employer reimbursement to cover the full cost.  

Download Reimbursement Request Template

Refund Policy

Course Refunds:

  • Full Refund: If a participant cancels their enrollment at least 7 days before the course start date, they are eligible for a full refund.
  • Partial Refund: If a participant cancels within 3 to 7 days before the course starts, they are eligible for a 50% refund.
  • No Refund: If cancellation occurs within 72 hours of the course start date, no refund will be provided.
  • Transfer Option: If a participant is unable to attend a course, they can request to transfer their enrollment to a future session at no extra cost, provided the request is made before the course begins.
  • Missed Classes: No refunds are offered for missed classes, but participants will have access to course recordings if applicable.