Introduction to Data Science
- Duration: 1 day
- Fee: Request
- Start Date: Request

Data Science is the study of the generalizable extraction of knowledge from data
This course will introduce students to a rapidly growing field and equip them with some of its basic principles and tools as well as its general mindset. Students will learn the concepts, techniques and tools needed to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modeling, descriptive modeling, data product creation, evaluation and effective communication.
Learning outcome:
- Understand what Data Science is and the skill sets needed to be a data analytics professional
- Understand the Data Science process and how its components interact
- Understand the importance of effective communication for a data scientist
Who should attend:
1 day of in depth learning
Face to face with experienced Data Scientist.
Course Methodology
This course will utilize a combination of Presentations and Workshops.
CADS Certification
Earn certification upon completion.
N/A
Undergraduate Degree
Training Track
Enterprise Data Practitioner (EDP)
Introduction to Data Science is one of the modules under our Enterprise Data Practitioner (EDP). EDP is an 8-day training program that provides analysts with the tools to be immediate contributors to a data science team. They will assist to frame business requirements as analytics models.

Details of Subject
- Overview –
- Overview of Data Science
- The Needs for Data Science
- Responsibilities of data scientists
- Roles of Data Scientists in Academia andIndustry
- Data science Process
- Dealing with Data –
- Overview of Data Model
- Data Characterization
- Data Cleaning (The Need for Data Cleaning,Data Quality)
- Data Integration (Problems and Solutions)
- Data Storage (Models, Scalability Basics andChallenges)
- Data Analysis and Getting Started with Programming –
- Categories of Data Analysis
- Data Analysis Steps
- Basic Concepts to Programming (Data Types, Operations and Structures)
- Data Visualization –
- The Need to Visualize Data
- Design Considerations; Graphs and Charts
- Ethics, security and privacy issues related to data science –
- Definition of ethics, security and privacy
- Importance of ethics and privacy
- Big Data best practices, Code of Conduct for data scientists
Lead Instructor

CADS Certification
EDA CADS Certified Enterprise Data Practitioner
Certification for this module & track will be made available soon.

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Register Interest
Introduction to Data Science