Accelerate Your Data Science Career with Stria Academy
Master Data Science, Machine Learning, and Deep Learning with industry-relevant projects and expert mentorship.
- python-data-science.py
# Stria Academy Learning Path
def data_science_career():
learn('Python & SQL')
master('Machine Learning & Deep Learning')
build('Real-World Data Science Projects')
return 'Industry-Ready Data Scientist'
# Start your journey today
Industry-Relevant
Curriculum designed with leading data science experts.
Project-Based Learning
Build real-world, portfolio-ready data science projects.
Mentor Support
Learn from experienced industry professionals.
Unlock Your Potential with Stria Academy
Your journey to mastering in-demand tech skills starts here. Discover why our hands-on approach prepares you for real-world success.
Our Mission
At Stria Academy, we're committed to bridging the gap between theoretical knowledge and practical industry skills. Our mission is to empower the next generation of tech professionals with hands-on learning experiences that directly translate to workplace success.
Our Vision
We envision a world where education is accessible, practical, and directly aligned with industry needs. By combining cutting-edge curriculum with real-world projects and dedicated mentorship, we're creating a new standard for technical education.
Our Teaching Approach
We believe in learning by doing. Our project-based curriculum ensures you're not just consuming information but applying it to solve real problems. With personalized feedback from industry experts, you'll develop the critical thinking and problem-solving skills that employers value most.
Industry-Relevant Curriculum
Our courses are designed with input from industry leaders to ensure you learn what matters.
Expert Instructors
Learn from professionals with years of industry experience in tech giants and startups.
Practical Projects
Build a portfolio of real-world projects that demonstrate your skills to employers.
Dedicated Mentorship
Receive personalized guidance from mentors committed to your success.
Your Learning Journey at Stria Academy
Foundations
Build core skills with interactive lessons and guided practice
Application
Apply your knowledge to real-world mini-projects with mentor feedback
Mastery
Deepen expertise through advanced topics and complex problem-solving
Capstone
Showcase your skills with an industry-level project for your portfolio
Comprehensive Curriculum
Your journey to mastering in-demand tech skills starts here. Discover why our hands-on approach prepares you for real-world success.
Data Science
Master the entire data science pipeline from data collection to deployment of machine learning models
- 16 weeks - 320 hours
- 8 hands-on projects
- Industry certification
- 1:1 mentorship
Python
SQL
Pandas
Tableau
Scikit-Learn
TensorFlow
Course Modules
Module 1: Python Programming for Data Science
Master the fundamentals of Python programming with a focus on data manipulation and analysis.
- Python syntax and data structures
- Functions and control flow
- File I/O and data parsing
- Introduction to NumPy
Project: Data Processing Automation Tool
Module 2: Data Manipulation with Pandas
Learn how to manipulate, clean, and preprocess datasets efficiently using Pandas.
- Pandas DataFrames and Series
- Data Cleaning and Handling Missing Values
- Data Aggregation and Transformation
- Feature Engineering Techniques
Project: Data Cleaning and Transformation Pipeline
Module 3: Data Visualization
Explore techniques to visualize data and uncover hidden patterns for better decision-making.
- Introduction to Matplotlib and Seaborn
- Creating insightful visualizations (Line, Bar, Scatter)
- Heatmaps, Boxplots, and Correlation Analysis
- Interactive Visualizations with Plotly
Project: Interactive Dashboard for Business Insights
Module 4: Statistical Analysis and Probability
Understand fundamental statistics and probability concepts used in data science.
- Descriptive Statistics (Mean, Median, Mode)
- Probability Distributions (Normal, Binomial, Poisson)
- Hypothesis Testing and p-values
- Correlation and Causation Analysis
Project: A/B Testing for Marketing Campaigns
Overcoming Learning Challenges
Our instructors bring years of real-world experience from leading tech companies to help you master the skills that employers actually value
The Theory-Practice Gap
Many students struggle to apply theoretical knowledge to real-world problems.
- Our Solution
Every concept is immediately reinforced with practical exercises. Our project-based approach ensures you're applying knowledge as you learn it, with real-world scenarios and industry-relevant challenges.
Information Overload
The vast amount of technical information can be overwhelming and difficult to navigate.
- Our Solution
Our curriculum is carefully structured and paced to build knowledge progressively. We provide clear learning paths with curated resources, focusing on what's most important without unnecessary complexity.
Lack of Guidance
Self-paced learning often lacks the guidance needed to overcome difficult challenges.
- Our Solution
Our 1:1 mentorship program pairs you with an industry expert who provides personalized guidance, code reviews, and career advice. You'll also have access to 24/7 community support from peers and instructors.
Career Transition Obstacles
Many students struggle to translate their learning into actual job opportunities.
- Our Solution