• Certified Data Scientist Associated – CDSA


Training Program Description:

  • Build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. With the skills you learn in a program, you can launch or advance a successful data career. Start acquiring valuable skills right away, create a project portfolio to demonstrate your abilities, and get support from mentors, peers, and experts in the field.
  • The demand for Machine Learning and Data Science professionals is booming, far exceeding the supply of personnel skilled in this field. The industry is clearly embracing AI, embedding it within its fabric. The demand for Machine Learning and Data science skills by employers — and the job salaries of Machine Learning and Data Science practitioners — are only bound to increase over time, as AI becomes more pervasive in society. Machine Learning and Data Science are a future-proof career.
  • Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science and machine learning career.
  • Throughout this program, you will practice your Data Science and Machine Learning skills through a series of hands-on labs, assignments, and projects inspired by real-world problems and data sets from the industry. You will also complete the program by preparing a Data Science and Machine Learning capstone project that will showcase your applied skills to prospective employers.


  • This program is comprised of many career-oriented projects. Each project you build will be an opportunity to demonstrate what you've learned in the lessons. Your completed projects will become part of a career portfolio that will demonstrate to potential employers that you have skills in data analysis and feature engineering, machine learning algorithms, and training and evaluating models.


  • One of our main goals at EAII is to help you create a job-ready portfolio of completed projects. Building a project is one of the best ways to test the skills you've acquired and to demonstrate your newfound abilities to future employers or colleagues. Throughout this program, you'll have the opportunity to prove your skills by building the following projects


  • Building a project is one of the best ways both to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects:


  • Project 1: IRIS Problem
  • Project 2: Adult Income Problem
  • Project 3: Mall Problem
  • Project 4: University Problem
  • Project 5: Weather Logging system
  • Project 6: Design Database systems like Facebook, Souq, YouTube
  • Project 7: Scrap books and design a database
  • Capstone Project

program outcomes:

  • Perform feature engineering to improve the performance of machine learning models.
  • The transition from the Very Basics to a Point Where You Can Effortlessly Work with Large SQL Queries
  • Web Scraping using Python
  • scrape data and store it locally or globally to access the data sets whenever needed
  • Boost your Profile
  • how to solve the human capital, technological, and management challenges of building data science into the business
  • identifying opportunities for data science across many functional areas of the business
  • learn the tools to prioritize and execute on those opportunities as part of a data science initiative.

Program Duration: 5 Weeks

Program Language: English / Arabic

Location: EPSILON AI INSTITUTE | Head Office

Participants will be granted a completion certificate from Epsilon AI Institute, USA if they attend a minimum of 80 percent of the direct contact hours of the Program and after fulfilling program requirements (passing both Final Exam and Project to obtain the Certificate)



Training Program Curriculum

1.Data Preprocessing & ETL

  • Feature Engineering and Extraction
    • Domain knowledge features
    • Date and Time features
    • String operations
    • Web Data
    • Geospatial features
    • Work with Text
  • Feature Transformations
    • Detect and Handle Outliers
    • Deal with Imbalanced classes
    • How to use Pipelines
  • Feature Selection
    • Filter Methods
    • Wrapper Methods
    • Embedded Methods


2.Machine Learning

  • Supervised Learning
    • Classification
      • SVM
      • Project#1 (IRIS Problem)
      • Ensemble Methods
      • Bagging & Boosting
      • Random Forests
      • XGBoost
      • Project#2 (Adult Income Problem)
    • Unsupervised Learning
      • Clustering
        • Hierarchical Clustering
        • Density Based Clustering – DBSCAN
        • Project#3 (Mall Problem)
        • Project#4 (University Problem)


3.Web Scraping & Web Services

  • Network Topologies
  • Internet and Web Servers
  • HTTP Request/Response Cycle
  • HTML
  • CSS
  • Scrapping Concept
  • Beautiful Soap Library
  • Project #5 (Weather Logging system)


4.Databases & SQL

  • Tables, Columns and Data types
  • How to design a database.
  • One-To-Many & Many-To-Many Relationships.
  • Project #6 (Design Database systems like Facebook, Souq, YouTube)
  • SQL
  • CRUD
  • Selecting data
  • Filtering data
  • Ordering data
  • Limiting data
  • Aggregate Functions
  • Joining tables
  • Grouping data
  • Subqueries
  • Inserting new data
  • Updating data
  • Deleting data
  • Python and SQLite
  • DB Browser for SQLite
  • Project #7 (Scrap books and design a database)


5.Advance your Career

  • Boost your Profile on Kaggle
  • Build up your online presence
    • Medium Blog
    • YouTube Channel
    • Contribute to Open Source Community on GitHub
  • Build your Resume
  • LinkedIn and Networking
  • Learn how to seek a job


6.AI in Business

  • AI product development cycle
  • Measuring Business Impact & Mitigating Bias
  • Collect requirements and do market research
  • Build an AI Team
  • Agile Methodology
  • Developing business proposal for an AI product
  • How to scale up your idea




Download Certified Data Scientist Professional – CDSP Brochure PDF








    Course Curriculum

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