The Data Academy

Our Academy focuses on building an on-demand Data Science and GPT-ready workforce that can be integrated with your existing teams. We understand the skills which are most relevant for data science and AI talent across domains. Each consultant gets hands-on experience with the tools and technologies relevant to the role by working on real-world scenarios and case studies.

4 months

Program

40+

 Hours per week

10+

Projects

20+

 Case Studies

17-Week Training Program

What it's all about

17 Week Course Final Design

Data Science Primer: Analytics Essentials & Testing

  • Analytics Landscape 
  • Descriptive Analytics – Scales of measurement, measures of central tendency
  • Probability & Conditional Probability
  • Sampling & Estimation
  • Hypothesis Testing – Parametric Tests, Non-Parametric Tests, ANOVA
  • A/B Testing Hands-On
  • Hypothesis Testing – Case Exercise
  • Correlations
  • Decision Trees
  • Mini Project (Using Python)

Data Prep: Quality Enhancement & Cleansing

  • Data Quality Checks 
  • Data Cleaning  
  • Data Imputation 
  • Hands-On Exercise 

Discovering Insights through Effective Data Storytelling

  • Data Storytelling 
  • Visual perception, Gestalt principles, Visual Encoding, Edward Tufte Design principles 
  • Hands-on: Explore and Build data visualizations in Tableau
  • Hands-on: Building Interactivity and Animations
  • Hand Boarding and Storyboarding
  • PowerBI, components and architecture
  • Powerbi Desktop – Exploring Tool, creating report and dashboard
  • Hands-on: Advance PowerBI Visualization 

Capstone Project (Using Python, Tableau, PowerBI)

ML Techniques for Descriptive & Predictive Analytics

Supervised Learning: 

  • Simple Linear Regression: Case Exercise 
  • Multiple Linear Regression: Case Exercise 
  • Logistic Regression: Case Exercise 

Capstone Project (Using Python) 

Unsupervised Learning: 

  • Cluster Analysis using Python 
  • Conjoint Analysis  
  • Factor Analysis 
  • Principle Component Analysis (PCA)
  • Regression: Simultaneous Equations 

Mini Project

Version Control & Cloud Services

  • Git, GitHub, GitHub Copilot 
  • Cloud Computing Fundamentals
  • AWS Cloud Services: Hands-On
  • Azure Cloud Services: Hands-On 

From Data Modeling to Engineering Decision Intelligence

  • Data Modeling & Analysis
  • Statistical Analysis for Engineering Data
  • Decision Intelligence Framework
  • Optimization & Simulation Techniques
  • Case Exercises & Real-world Applications 

Mini Project 

Temporal Analytics: Mastering Time Series Data

  • Introduction to Time Series Data 
  • Decomposition of Time Series Data 
  • Simple Forecasting Techniques – Smoothing Techniques 
  • Case Assignment + Group Exercise
  • ARMA & ARIMA Models: Case Exercise 

Mini Project 

Advanced ML Techniques at the core & edge of Business

  • Reinforcement Learning 
  • Markov Chains with Absorbing States: Case Exercise
  • Customer Lifetime Value (CLV): Case Exercise
  • Ensemble Methods Hands-On
  • Loss Function & Gradient Descent Optimization
  • Regularization: Lasso & Ridge Regression
  • Dealing with Data Imbalance
  • SVM, Random Forest Hands-On
  • Boosting & Stacking Hands-On
  • Advanced Feature Engineering and Feature Selection Techniques
  • Recommender Systems: Association Rules, Collaborative Filtering Matrix Factorization 

Capstone Project 

Big Data Analytics

  • Big Data Overview & Ecosystem 
  • Spark Architecture Overview 
  • Spark APIs 
  • SQL
  • Spark Advanced Analytical Functions
  • Spark Streaming
  • Spark & ML
  • Big Data & AWS Cloud 

Mini Project 

AI & Deep Learning

  • AI & Deep Learning Fundamentals 
  • Concept of Representational Learning 
  • Artificial Neural Networks: Multi-layer Perceptron; Back Propagation 
  • Hyper-Parameter Tuning (Learning Rate Scheduling, Batch Size, Epoch, Hidden Layers and neurons)
  • Training Deep Neural Networks - Faster Optimizers, Avoiding Overfitting - (Dropout, Batch Normalization)
  • Autoencoders - Transfer Learning, Unsupervised Pre-training, Anomaly Detection
  • Convolutional Neural Networks - Concept of Convolution and filters/kernels Grey-scale and color images
  • Image Classification using CNNs and concept of receptive fields
  • Explaining Convolution Layers, understanding CNN Architectures
  • Data augmentation strategies - overcoming over-fitting and handling data imbalance
  • Transfer Learning - Feature Extraction and Fine Tuning 

Capstone Project (Using Python, PyTorch) 

Generative AI

  • Introduction to Generative AI and LLMs (Foundation Models)
  • Training Large Language Models
  • In-context Learning/Prompt Engineering - Enhancing Model Outputs
  • Cost Optimization Strategies for LLM Training & Aligning to Human values
  • LangChain: Simplifying Development with Language Models
  • LLM Powered Applications
  • Generative Image Models
  • Use Cases of Generative AI
  • Responsible AI - Ethical Considerations in Generative AI 

Capstone Project 

Machine Learning Operations (MLOPs)

  • MLOps Overview 
  • Dealing with Data Labelling Challenges 
  • Building ML Pipelines and Model Versioning 
  • Model Experiments and Experiment Tracking 
  • Case Assignments
  • Model Persistence and AutoML
  • Model Serving using Containers
  • Model Monitoring
  • Azure ML Deployment 

Model Deployment Exercise 

Business Essentials & Soft Skills

  • Design Thinking Practitioner 
  • Product Success Leader 
  • UI/UX Expert 
  • Next-Gen AI Marketer
  • Reporting & Communication 

Upskilling Programs for Corporate Success

  • Intelligent Process Automation 
  • Digital Leadership 

Mindful Data Mastery: Navigating Stress and Insight in the Digital Age

  • Mindfulness & Benefits
  • Mindful Breathing & Grounding Techniques
  • Cultivating Present-Moment Awareness
  • Managing Workload & Prioritization
  • Mindful Communication & Collaboration
  • Stress Resilience & Self-Care
  • Sustaining Mindfulness in the long run

 

Tech Stack Foundation

Laying the Groundwork for Future Data Specialists

Website Tech Stack Section
GET IN TOUCH

Interested to learn how TeamEpic can help your company?

Find out how TeamEpic consultants can augment your teams and help you build scalable solutions while saving cost, time and managerial bandwidth.