Change your career, change your life.

Unlock endless opportunities by daring to make a change. I provide world-class coaching and training for people seeking to master Data and Artificial Intelligence and I help you succeed in the fast-paced world of Data.

Note from our Lead Coach

Henry

The future is bright with Data + AI. Companies are scrambling to hire top-tier data experts, and I am here to help you become one of them. With my mentorship program, you can become a six-figure data expert in just 14 weeks. Let’s talk about how we can turn your potential into a reality. Don’t hesitate, schedule a call with me today and let’s get started!

Career Paths

Data Analyst
A data analyst is a professional who specializes in collecting, processing, and performing statistical analyses on large datasets to identify trends, solve problems, and make data-driven decisions.
Data Scientist
A data scientist combines expertise in statistics, mathematics, and computer science to analyze complex datasets and extract actionable insights.
Data Engineer
A data engineer focuses on developing, constructing, testing, and maintaining architectures, such as databases and large-scale processing systems.
Machine Learning Engineer
A machine learning engineer designs and implements machine learning applications and systems, integrating data science models into production-level services.
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Tools & Skills

Tools

Skills

Meet Your Coach

Henry Ezike

Lead Coach

Henry is a seasoned data scientist with a passion for coaching aspiring data scientists. With his patient and encouraging teaching style, Henry is committed to helping his students succeed and achieve their goals in the field of data science. 

Tuition

Program: Data Science and Machine learning.

 

Tuition: $200/week for 14 weeks. Total $2,800

What you'll get

Program Overview

Your career path into the world of Data Science begins on your first day of class. 

 

Within 14 weeks, you’ll become a self-sufficient data expert who has developed the skills to pursue a career path in Data. 

 

Anyone can become a data expert but the path isn’t easy. Successful students are students that dedicate 40 hours/week studying and practicing the educational materials provided.

  • Introduction to Python for Data Science
  • Pandas for Data Manipulation
  • Exploratory and Explanatory Data Visualization
  • Data Visualization with Tableau
  • Introduction to MySQL & Database Architecture
  • The ETL (Extract, Transform, Load) Process
  • Introduction to Machine Learning.
  • Regression Machine Learning Models
  • Classification Machine Learning Models
  • Model Explainability and Interpretations
  • Statistics and Hypothesis Testing
  • Time Series Analysis
  • Dimensionality Reduction
  • Unsupervised Learning
  • Introduction to Deep Learning & Neural Networks
  • Convolutional Neural Networks and Computer Vision
  • Natural Language Processing
  • Deploying Machine Learning Models