Katerina Bosko

Katerina Bosko

From Political Science to Data Engineering

Amazon DynamoDB for Serverless Architectures | AWS training and certification

  • How Amazon DynamoDB Works
  • Operating Amazon DynamoDB
  • Design Considerations
  • Serverless Architecture Patterns

Projects:

  • DynamoDB: How to Get Started
  • Gifify app

AWS Lambda Foundations| AWS training and certification

  • AWS Lambda Function Permissions
  • How Lambda Works
  • Authoring Lambda Functions
  • Configuring Your Lambda Functions
  • Deploying and Testing Serverless Applications
  • Monitoring and Troubleshooting

Projects:

  • Gifify app

AWS Cloud Foundations| AWS Academy

  • AWS Architecture
  • AWS Cloud concepts
  • AWS Core Services (S3, EC2, DynamoDB, RDS, etc)
  • AWS Pricing and AWS Support

MongoDB Basics | MongoDB University

  • Importing, Exporting, and Querying Data
  • Creating and Manipulating Documents
  • Advanced CRUD Operations
  • Indexing and Aggregation Pipeline

Projects:

  • GhostKitchen app

Marketing Analytics with Python | DataCamp

  • Predicting Customer Churn in Python
  • Customer Analytics and A/B Testing in Python
  • Customer Segmentation in Python
  • Machine Learning for Marketing in Python

Projects:

  • Customer Lifetime Value (CLV)
  • Cohort Analysis
  • RFM Analysis
  • Customer Churn Prediction

Data Science Nanodegree | Udacity

Tools: Python, Shell, Git, Flask, Plotly, Jupyter Notebook

Syllabus:

  • Supervised Learning
  • Deep Learning
  • Unsupervised Learning
  • CRISP-DM Process
  • Software Engineering for Data Science
  • Data Engineering
  • Machine Learning Pipelines
  • Experimental Design & A/B Testing
  • Natural Language Processing (NLP)
  • Recommendation Systems

Projects:

  • Target Audience for Starbucks Rewards Mobile App (Capstone)
  • Predicting Charity Donors with Supervised ML
  • Customer Segmentation for Arvato (PCA, K-Means)
  • NLP for Disaster Response App app
  • Recommendation Engines for IBM Platform
  • Image Classifier with PyTorch
  • Data Science blog post

Mathematics for Machine Learning | Coursera

Syllabus:

  • Linear Algebra
  • Multivariate Calculus
  • Principal Component Analysis (PCA)

Predictive Analytics for Business | Udacity

Tools: Alteryx, Tableau, Python

Syllabus:

  • Data Wrangling
  • Classification Models
  • A/B Testing
  • Time Series Forecasting
  • Segmentation and Clustering

Projects:

  • Recommending New Store Format for a Grocery Store (Capstone)
  • Linear Regression Model to Choose New Store Location
  • Linear Regression Model to Predict Sales for a Catalog Launch
  • A/B Test a New Menu Launch

Excel to MySQL: Analytic Techniques for Business | Coursera

Tools: Excel, Tableau, Teradata, MySQL, Jupyter Notebook

Syllabus:

  • Business Metrics for Data-Driven Companies
  • Mastering Data Analysis in Excel
  • Data Visualization and Communication with Tableau
  • Managing Big Data with MySQL
  • Increasing Real Estate Management Profits: Harnessing Data Analytics

Projects:

  • Increasing Profits for Watershed Properties
  • Dillard’s Sale Trends: Teradata SQL queries

Excel Skills for Business | Coursera

Syllabus:

  • Essentials
  • Intermediate I
  • Intermediate II
  • Advanced

Digital Marketing | Udacity

Tools: Google Analytics, Google AdWords, Facebook Ad Manager, Google’s PageSpeed, SEMrush, MOZ, MailChimp

Syllabus:

  • Marketing Fundamentals
  • Content Marketing
  • Social Media Marketing (SMM)
  • Social Media Advertising
  • Search Engine Optimization (SEO)
  • Search Engine Marketing (SEM)
  • Display Advertising
  • Email Marketing
  • Google Analytics

Projects:

  • Prepare to Market
  • Market Your Content
  • Run a Facebook Ad Campaign
  • Conduct a SEO Audit
  • Run an AdWords Campaign
  • Evaluate a Display Campaign
  • Market with Email

Business Foundations | Coursera

Syllabus:

  • Introduction to Marketing
  • Introduction to Corporate Finance
  • Introduction to Operations Management
  • Introduction to Financial Accounting
  • Managing Social and Human Capital