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    Amideast-Jordan Training and Development Department

    Boeing’s Data Science and Career Readiness Program 


    Description of the Program:

    The Data Science and Career Readiness Program is implemented by AMIDEAST-Jordan and is funded by Boeing. The program consists of two training modules: Data Science and Soft Skills. The Data Science part will cover 140 training hours (120 online and 20 Face-to-Face), whereas the Soft Skills part will cover 46 Face-to-Face training hours.

    Training Agenda- Data Science (140 hours)

    No

    Topic

    Hours

    Total

    1

    Course Introduction

     

    1

    2

    Python Programming Language

     

    11

    2.1

    Introduction to Python, Anaconda and PyCharm

    2

     

    2.2

    Python Basics, IPython and Jupyter Notebooks

    3

     

    2.3

    Built-in Data Structures, Functions and Files

    3

     

    2.4

    Object Oriented Programming in Python

    2

     

    2.5

    Exercises

    1

     

    3

    Data Analysis

     

    38

    3.1

    NumPy Basics: Arrays and Vectorized Computation

    6

     

    3.2

    Pandas Data Structures, Essential Functionality and Descriptive Statistics

    6

     

    3.3

    Data Loading, Storage and File Formats

    5

     

    3.4

    Data Cleaning and Preparation

    6

     

    3.5

    Data Wrangling: Join, Combine and Reshape

    3

     

    3.6

    Plotting and Visualization With Matplotlib and Seaborn

    6

     

    3.7

    Data Aggregation and Group Operations

    3

     

    3.8

    Time Series

    3

     

    4

    Machine Learning and Deep Learning

     

    43

    4.1

    Introduction Machine Learning and Deep Learning: Definition, benefits, types, challenges, testing and validation

    2

     

    4.2

    End-to-End Machine Learning Project: Data preparation, inspection and visualization, data cleaning, handling categorical attributes and missing data, scaling

    6

     

    4.3

    Classification: Basics, Evaluation Metrics and Advanced Topics

    3

     

    4.4

    Course Project Guidelines

    1

     

    4.5

    Training Models and Regression

    3

     

    4.6

    Classical Techniques

    3

     

    4.7

    Unsupervised Learning and Clustering

    3

     

    4.8

    Neural Networks

    2

     

    4.9

    Artificial Neural Networks With Keras

    5

     

    4.10

    Deep Neural Networks

    3

     

    4.11

    Deep Computer Vision Using Convolutional Neural Networks

    4

     

    4.12

    Recurrent Neural Networks

    2

     

    4.13

    LSTM Sequence to Sequence Translation

    2

     

    4.14

    Reinforcement Learning

    3

     

    4.15

    Recommender Systems

    1

     

    5

    Big Data Analytics

     

    24

    5.1

    Introduction to Big Data

    3

     

    5.2

    Big Data Stack Setup and Examples

    3

     

    5.3

    Big Data Architectures and Patterns

    3

     

    5.4

    MapReduce Patterns

    3

     

    5.5

    NoSQL Databases

    3

     

    5.6

    Data Acquisition

    3

     

    5.7

    Big Data Storage

    1

     

    5.8

    Batch Data Analysis

    2

     

    5.9

    Real-Time Analysis

    2

     

    5.10

    Interactive Querying

    1

     

    6

    Final Project Presentations and Evaluation

     

    3

    7

    Discussion and Applications (1 hour per week)

     

    20

     

    Total

     

    140

    Training Agenda- Soft Skills (46 hours)

    # of Weeks

    Subject

    Hours/Week

    Week 1

    Goal Setting

    4

    Week 2

    Time Management

    4

    Week 3

    Emotional Intelligence

    4

    Week 4

    Social Intelligence

    4

    Week 5

    Social Intelligence

    4

    Week 6

    Problem Solving

    4

    Week 7

    Critical Thinking

    4

    Week 8

    Team Building

    4

    Week 9

    Effective Note Taking

    4

    Week 10

    Presentation Skills

    4

    Week 11

    Presentation skills (2) + Attention Management (2)

    4

    Week 12

    Attention Management

    2
    Communications►