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

Unlock the wealth of fortune with Data Science
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 importance of effective communication for a data practitioner
- Understand the fundamentals and capabilities of Big Data
- Learn the data science process: acquire, wrangle, analyze, model, visualize, share
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 Lectures 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) programme. EDP is a nine-day training program that super-charges Business Intelligence analysts with new skills to analyse and communicate insights effectively.

Details of Subject
- Overview of Data Science
- The Needs for Data Science
- Responsibilities of data scientists
- Data Science Process
- Acquiring data
- Wrangling 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 and Challenges)
- Categories of Data Analysis
- Data Analysis Process
- Learn the methods of data analysis such as Statistics and Machine Learning
- Visualizing data into knowledge
- Adding wisdom with storytelling
- The Need to Visualize Data
- Design Considerations;
- Graphs and Charts
Lead Instructor

CADS Certification
EDP CADS Certified Intro to Data Science
Being a data scientist requires an integrated skill set spanning mathematics, statistics, machine learning, databases, and other branches of computer science, along with a good understanding of the craft of problem formulation to engineer effective solutions.

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Register Interest
Intro to Data Science