Omdena Essential DS Building Blocks

Essential Data Science Building Blocks Course

The course will familiarize the learners with all essential skill sets required to be a good data scientist and machine learning engineer with real-world practical case studies regardless of their educational and professional background. The course is designed with independent modules starting from basic Python, Exploratory Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Visions, and Natural Language Processing.

Objective

The objective is to provide a foundational course to get started with Data Science and Machine Learning Engineering with real world projects and hands-on experiences. The essential skills are almost from all domains of data sciences including Machine Learning, Natural Language Processing and Computer Vision.

What you will learn

After completing this course learners will be able to: Learn and apply Machine learning techniques with real-world applications, Learn and apply Natural Language processing techniques with real-world applications, Learn and apply Computer Vision techniques with real-world applications, Developing a web application with Streamlit, Working with GitHub to maintain Data Science Portfolio.

Prerequisites

None

Duration

37 Hours

Skill

beginner

Syllabus

Basic Python Libraries for Data Science Applications
EDA: Exploratory Data Analysis and Feature Engineering
Data Visualization for Data Science Projects
Machine Learning Algorithms Application
Getting started with Natural Language Processing and Language Models
Deep Learning
Neural Network Application
Computer Vision Application
Transfer Learning Application
Streamlit Application
Working with Github
Developing and Publishing Data Science Package

Course Registration:

Please dpecify the chapter name as ``AIDA, Prince Sultan University, Saudi Arabia, Omdena Chapter`` under ``Which Omdena local chapter you are a member of? ``