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Develop — Data Academy

New – Everything you need to become a Data expert.

GK# 100787

Course Overview

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Develop Academies are comprehensive learning paths with in-depth courses designed by industry veterans that will help you master key skills and concepts, and, more importantly, equip you to do the job. Courses work on most browsers and are mobile-optimized, so you can dig in at your desk or kick back with your tablet anywhere you have connectivity.

The Data Academy dives deep into data concepts, methodologies, languages and practices. Learners who complete the Data Academy will finish with the satisfaction of having completed over 100 courses filled with knowledge checks, hands-on practice opportunities, and the knowledge needed to become a data expert including:

  • Data Science Foundations
  • Data Extraction
  • Data Loading & Storage
  • Data Analysis
  • Data Visualization
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning

Schedule

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What You'll Learn

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Specific topics covered in the collection include:

  • Artificial Intelligence
    • The Applied Artificial Intelligence Workshop
    • The Computer Vision Workshop
    • The Natural Language Processing Workshop
  • Data Fundamentals
    • The Applied Data Science Workshop
    • The Python Workshop
    • The Statistics and Calculus Workshop
  • Data Science
    • The Applied SQL Workshop
    • The Artificial Intelligence Infrastructure Workshop
    • The Data Analysis Workshop
    • The Data Visualization Workshop
    • The Data Wrangling Workshop
  • Deep Learning
    • The Applied Tensorflow and Keras Workshop
    • The Deep Learning with Keras Workshop
    • The Deep Learning with PyTorch Workshop
    • The Deep Learning with Tensorflow Workshop
  • Machine Learning
    • The Applied AI and Natural Language Processing Workshop
    • The Machine Learning Workshop
    • The Supervised Learning Workshop
    • The Unsupervised Learning Workshop
  • Reinforcement Learning
    • The Reinforcement Learning Workshop

Outline

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On-Demand Outline

The following courses are included with your subscription:

Artificial Intelligence

  • The Applied Artificial Intelligence Workshop
    • Introduction to Artificial Intelligence
    • Introduction to Classification
    • Introduction to Clustering
    • Introduction to Decision Trees
    • Introduction to Deep Learning and Neural Networks
    • Introduction to Regression
  • The Computer Vision Workshop
    • Detecting Facial Images
    • Introduction to Image Processing
    • Performing Basic Image Operations
    • Performing Object Detection and Facial Recognition
    • Tracking Objects
    • Using OpenVINO and OpenCV
    • Working with Contours
    • Working with Histograms
  • The Natural Language Processing Workshop
    • Extracting and Analyzing Web Data
    • Machine Learning and Developing a
  • Text Classifier
    • Natural Language Processing Fundamentals
    • Performing Sentiment Analysis with NLP
    • Pre-Processing Data and Feature Extraction
    • Understanding Word and Document Vectors
    • Using and Comparing Topic Modeling
  • Algorithms
    • Using Text Generators and Summarization Models

Data Fundamentals

  • The Applied Data Science Workshop
    • Exploratory Data Analysis
    • Introduction to Jupyter Notebooks
    • Model Optimization and Assessment
    • Preparing Data for Predictive Modeling
    • Training Classification Models
    • Web Scraping with Jupyter Notebooks
  • The Python Workshop
    • Becoming Pythonic
    • Constructing Python – Classes and Methods
    • Discovering Tools for Python Developers
    • Executing Python – Programs, Algorithms, and Functions
    • Extending Python - Files, Errors, and Graphs
    • Getting started with Python Structures
    • Introduction to Data Analytics with pandas and NumPy
    • Introduction to Machine Learning Models
    • Introduction to Python - Math, Strings, Conditionals and Loops
    • Software Development with Python
    • Understanding the Standard Library
  • The Statistics and Calculus Workshop
    • Applying Foundational Probability Concepts
    • Beginning Calculus with Python
    • Developing Python's Use in Statistics
    • Employing Python's Tools with Statistics
    • Exploring and Visualizing Statistics with

Python

  • Extending Calculus with Python
  • Extending Mathematics with Python
  • Introduction to Python: Structures and Tools
  • Mathematics with Python
  • Practicing Calculus with Python
  • Understanding Python's Main Tools in

Statistics

  • Using Functions and Algebra with Python

Data Science

  • The Applied SQL Workshop
  • Aggregate and Window Functions
  • Analytics Using Complex Data Types
  • Importing and Analyzing Data
  • Performant SQL
  • Scientific Method and Applied Problem Solving
  • SQL for Data Preparation
  • Understanding and Describing Data
  • The Artificial Intelligence Infrastructure Workshop
    • Building an Artificial Intelligence Algorithm
    • Handling Big Data File Formats
    • Introduction to Analytics Engine (Spark) for Big Data
    • Introduction to Data Storage
    • Introduction to Data Storage on Cloud Services (AWS)
    • Introduction to Data System Design
    • Introduction to the Ethics of AI Data Storage
    • Introduction to Workflow Management Platform (Airflow)
    • Productionizing your AI application with Docker
    • Understanding Artificial Intelligence Storage Requirements (SCOPHILD)
    • Updating Data
    • Working with Data Stores: SQL and NoSQL Databases
  • The Data Analysis Workshop
    • Analyzing the Bank Marketing Dataset
    • Analyzing the Heart Disease Dataset
    • Exploring Absenteeism at Work
    • Exploring the Online Retail Dataset
    • Identifying Online Shoppers' Purchase Intentions
    • Interpreting the credit card defaulter dataset
    • Investigating Air Quality in Beijing
    • Investigating Company Bankruptcy
    • Performing Bike Sharing Analysis
    • Predicting the Energy Usage of Household Appliances
  • The Data Visualization Workshop
    • All You Need to Know About Plots
    • An Introduction to Data Visualization and Data Exploration with Python
    • Creating Plots with Matplotlib
    • Making Things Interactive with Bokeh
    • Plotting Geospatial Data
    • Simplifying Visualizations Using Seaborn
    • Summarizing and Implementing Different Plots with Python
  • The Data Wrangling Workshop
    • A Deep Dive into Data Wrangling with Python
    • Advanced Operations on Python Data Structures
    • Advanced Web Scraping and Data Gathering
    • Applications in Business Use Cases
    • Introduction to Data Wrangling with Python
    • Introduction to NumPy, Pandas and Matplotlib
    • Reading Data from Different Sources
    • Relational Database Management Systems and SQL
    • The Hidden Secrets of Data Wrangling

Deep Learning

  • The Applied Tensorflow and Keras Workshop
    • Evaluating the Bitcoin Model
    • Introduction to Neural Networks and Deep Learning
    • Predicting the Price of Bitcoin
    • Productization
  • The Deep Learning with Keras Workshop
    • Building Artificial Neural Networks in Keras
    • Computer Vision with Convolutional Neural Networks
    • Cross-Validation and Keras Wrappers
    • Deep Neural Networks with Keras
    • Machine Learning Fundamentals with Keras
    • Model Evaluation
    • Regularization for Neural Networks in Keras
    • Sequential Modeling with Recurrent Neural Networks
    • Transfer Learning with Pre-Trained Networks
  • The Deep Learning with PyTorch Workshop
    • Analyzing the Sequence of Data with RNNs Using PyTorch
    • Discovering the Building Blocks of Neural Networks with PyTorch
    • Introduction to Convolutional Neural Networks with PyTorch
    • Introduction to Deep Learning and PyTorch
    • Performing Style Transfer with PyTorch
    • Solving a Classification Problem with DNNs Using PyTorch
  • The Deep Learning with Tensorflow Workshop
    • Advanced RNNs
    • Building Blocks of Deep Learning
    • Deep Learning for Sequences
    • Deep Learning for Text: Embeddings
    • Generative Adversarial Networks (GANs)
    • Image Recognition with Convolutional Neural Networks (CNN)
    • Neural Networks

Machine Learning

  • The Applied AI and Natural Language Processing Workshop
    • An Introduction to AWS
    • Analyzing Documents and Text with Natural Language Processing
    • Introduction to Computer Vision and Image Processing
    • Introduction to Conversational Artificial Intelligence
    • Topic Modeling and Theme Extraction
    • Using Speech with the Chatbot
  • The Machine Learning Workshop
    • Building A Trained Model
    • Clustering
    • Introduction to Artificial Neural Networks
    • Introduction to Scikit-Learn
    • Key Concepts of Supervised Learning
    • Supervised Learning Algorithms
  • The Supervised Learning Workshop
    • Creating Ensemble Models with Python
    • Evaluating Supervised Learning Models with Python
    • Exploring and Visualizing Data with Python
    • Introduction to Supervised Learning with Python
    • Performing Classification Tasks with Python
    • Performing Linear Regression with Python
  • The Unsupervised Learning Workshop
    • Autoencoders
    • Dimensionality Reduction Techniques and PCA
    • Hierarchical Clustering
    • Hotspot Analysis
    • Introduction to Clustering
    • Market Basket Analysis
    • Neighborhood Approaches and DBSCAN
    • t-Distributed Stochastic Neighbor Embedding
    • Topic Modeling

Reinforcement Learning

  • The Reinforcement Learning Workshop
    • Discussing Advancements for Reinforcement Learning
    • Discussing Evolutionary Strategies for reinforcement learning
    • Getting Started with OpenAI and TensorFlow for RL
    • Introduction to Deep Q Learning
    • Introduction to Dynamic Programming
    • Introduction to Monte Carlo Methods
    • Introduction to Policy Based Methods for reinforcement learning
    • Introduction to Reinforcement Learning
    • Introduction to Temporal-Difference Learning
    • Introduction to The Markov Decision Process and Dynamic Programming
    • Playing Doom with a Deep Recurrent Q Network
    • Practice Deep Learning with TF2
    • Solving the Multi Armed Bandit Problem

Who Should Attend

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This collection is designed for anyone who is looking to master data science and data analytics concepts.

Course Delivery

This course is available in the following formats:

On-Demand

Train at your own pace with 24/7 access to courses that help you acquire must-have technology skills.

Access Period: 12 months

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