Learn Data and AI Skills.
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
Tools
- Python
- SQL (Standard Query Language)
- Tableau
- Sci-Kit Learn
- Tensorflow & Keras
- APIs
Skills
- Programming in Python
- Data Analysis & Visualization
- Statistical Analysis
- Predictive Analytics
- Machine Learning
- Deep Learning
Meet Your Coach
Henry Ezike
Lead Coach
Henry is a certified Machine Learning Engineer and 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.
Link to AWS Certification: https://www.credly.com/badges/84fe0ca6-87a0-4d36-8946-3fc80cc1a1af/linked_in_profile
Tuition
Program: Data Science and Machine learning.
Tuition: $200/week for 14 weeks. Total $2,800
What you'll get
- Live Lectures (Weekends)
- One-on-one office hours.
- Resume development and curation
- Job Search Support
- On the job mentorship and support
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