Granville Data Fellowship
Learn data science from scratch
Our 7-month comprehensive program uses psychological learning methods to transform complete beginners into skilled data practitioners with specialized technical abilities.
Join a cohort to build your data journey
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
# Load Granville fellowship dataset
df = pd.read_csv('granville_fellowship_data.csv')
# Explore the data
print(f"Dataset shape: {df.shape}")
df.head()
# Data visualization
plt.figure(figsize=(12, 7))
sns.countplot(x='outcome', data=df)
plt.title('Student Success Distribution')
plt.show()
# Feature engineering
df['experience_months'] = df['experience_days'] / 30
df['completion_rate'] = df['modules_completed'] / df['total_modules']
# Train a predictive model
X = df.drop('outcome', axis=1)
y = df['outcome']
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.25, random_state=42
)
model = RandomForestClassifier()
model.fit(X_train, y_train)
print(f"Model accuracy: {model.score(X_test, y_test):.2f}")
Program Features
Our data fellowship combines technical excellence with practical application to prepare you for success through validated learning and personalized support.
Psychological Learning
We use scientifically validated teaching and recall methods to cement principles through active learning. Our approach ensures knowledge retention through practice, not passive absorption.
Affordable Investment
We do not believe in debt for learning. We have extremely affordable pricing options, making quality upskilling accessible to everyone. Pay for results, not promises.
Project-Based Learning
Master essential technical concepts through hands-on projects, not test questions you will forget. Build a portfolio of real-world applications that demonstrate your skills.
Twice-Weekly Mentoring
Live code exercises and Q&A sessions with industry professionals. Get personalized feedback and guidance on your learning journey.
Fast-Paced Learning
Your time is valuable. Use it to learn the skills you want, not the curriculum someone put on a syllabus years ago.
Advanced Tracks
Optional one-month specializations include the Distinguished Scholar or Teaching Resident designations. Stand out from other candidates with advanced designations.
8-Month Curriculum
Our structured program guides you from programming fundamentals to advanced AI concepts, with each course building upon the previous ones to create a solid data science foundation.
Full Program Overview
Foundations of Programming
Introduction to CLI, Python basics, and fundamental programming concepts.
Data Structures & Algorithms
Understanding core data structures and algorithmic thinking.
SQL & Database Fundamentals
Working with relational databases and mastering SQL queries.
Data Analysis & Visualization
Techniques for analyzing and presenting data effectively.
Statistical Methods
Statistical concepts and their application in data science.
Machine Learning Fundamentals
Introduction to core machine learning algorithms and concepts.
Advanced AI Techniques
Exploring neural networks and deep learning approaches.
Optional: Advanced Applications
Final project development and advanced technical applications.
Advanced Designations
Optionally earn specialized designations that demonstrate your technical expertise
Distinguished Scholar
Spend an extra month in the program completing a novel data science project of your choice, demonstrating mastery of concepts and creative problem-solving.
- Personalized project mentorship
- Industry networking opportunities
Teaching Resident
Extraordinary participants may be selected for Teaching Residencies, leading mentor sessions with other cohorts. Program costs are covered, along with a monthly stipend.
- Solidify knowledge by teaching others
- Earn both a designation and a stipend
Frequently Asked Questions
Get answers to the most common questions about the Data Fellowship program.
Don't see your question? Contact us and we'll be happy to help.
Apply to Our Fellowship Program
Ready to transform your future? Apply to our fellowship program today and join a community that is leveling up in the world of data.
Join Our Data Fellowship
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