The Future of Data Skills Training

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.

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Join a cohort to build your data journey

python_data_science.py
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}")
Output: Model accuracy: 0.94

Program Features

Our data fellowship combines technical excellence with practical application to prepare you for success through validated learning and personalized support.

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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.

Comprehensive Learning Path

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

1

Foundations of Programming

Introduction to CLI, Python basics, and fundamental programming concepts.

2

Data Structures & Algorithms

Understanding core data structures and algorithmic thinking.

3

SQL & Database Fundamentals

Working with relational databases and mastering SQL queries.

4

Data Analysis & Visualization

Techniques for analyzing and presenting data effectively.

5

Statistical Methods

Statistical concepts and their application in data science.

6

Machine Learning Fundamentals

Introduction to core machine learning algorithms and concepts.

7

Advanced AI Techniques

Exploring neural networks and deep learning approaches.

8

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
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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.

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