Certified Data Science Specialist (CDSS)

Our lives are flooded by large amounts of information, but not all of them are useful data. Therefore it is essential for us to learn how to apply data science to every aspect of our daily life from personal finances, reading and lifestyle habits, to make informed business decisions. In this course, you will learn how to leverage data to ease life or unlock new economic value for a business. This course is a hands-on guided course for you to learn the concepts, tools, and techniques that you need to begin learning data science. We will cover the key topics from data science to big data, and the processes of gathering, cleaning and handling data. This course is well balanced between theory and practical, and key concepts are taught using case study references. Upon completion, participants will be able to perform basic data handling tasks, collect and analyze data, and present them using industry-standard tools.

Who Should Attend

This workshop is intended for individuals who are interested in learning data science, or who want to begin their career as a data scientist.

Course Outline:

Day 1:

• Introduction to Data Science (+ Lab Activity)
• Data Processes (+ Lab Activity)
• Data Quality
• Life of a Data Scientist

Day 2:

• Beginning Databases (+ Lab Activity)
• Structured Query Language (SQL) (+ Lab Activity)
• Introduction to Python (+ Lab Activity)
• Lab: Exploring Data using Python

Day 3:

• Data Gathering (+ Lab Activity & Instructor-Led Case Study)
• Exploratory Data Analysis
• Introduction to R (Features, Vectors, Matrices & Arrays, Data Frame, Input/Output)
• Lab: Exploring Data using R

Day 4:

• Introduction to Text Mining (+ Lab Activity)
• Supervised Learning → What is Prediction; Sampling, Training Set, Testing Set; Constructing a Decision Tree (+ Lab Activity)

Day 5:

• Presenting Data (+ Lab Activity)
• Data Analysis Presentation (+ Lab Activity & Group Presentation)
• Lab: Mini Project
• Big Data Landscape, Real World Tools & Applications (+ Group Discussion)
• What’s next? → Preview of Data Science Specialist, Advanced Data
• Analysis Techniques, Demo: Interactive Visualizations
  

Course Objectives

Upon completion of this course, you will be able to:

• Identify the appropriate model for different data types.
• Create your own data process and analysis workflow.
• Define and explain the key concepts and models relevant to data science.
• Differentiate key data ETL process, from cleaning and processing to visualization.
• Implement algorithms to extract information from datasets.
• Apply best practices in data science, and become familiar with standard tools.

Exam Format

The CDSS Certification Exam Duration is 2 hours, consisting of 50 Multiple Choice Questions, with a Passing Score of 70%. You will receive a professional CDSS Certification upon Passing the Exam.

Prerequisites

All participants should have a basic understanding of data, relations, and basic knowledge of mathematics.