Introduction
This course will teach you how to define and identify data science projects, understand what data science programmers are doing and the expected outcomes, solve business problems using data, and think like a data professionals.
Duration
5 days
WHO SHOULD ATTEND?
Everyone who wants to understand data using nowadays technologies, bosses who want to know what the data scientists are doing and what the models are doing behind the scene, and students who want to have a very understanding of the data science field.
WHAT WILL BE COVERED
Understanding the EDA and data storytelling
Understanding Data
This module is designed to help users gain an understanding of Data, learn about different types and attributes of data, and help them understand why this information is important in the world today.
Learning Objectives:
Data Storytelling
This module explores data storytelling which allows one to bring to life or bring context to what could be seen as complicated.
Learning Objectives:
Understanding Aggregations
This module is designed to help users gain an understanding of Data Aggregations, learn about different types of aggregations, and help them understand why this information is important in the world today.
Learning Objectives:
Correlation and Causation
This module is designed to help users gain an understanding of correlation and causation, learn about these concepts and their roles in analytics, and help them understand why this information is important in the world today.
Learning Objectives:
Machine learning
Decision Tree Analysis
This module is designed to help users gain an understanding of decision trees, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.
Learning Objectives:
Simple Linear Regression Analysis
This module is designed to help users gain an understanding of Simple Linear Regression Analysis, learn about this concept and its role in analytics, and help them understand why this information is important in the world today.
Learning Objectives:
Why simple linear regression analysis is important in the world today
We are proud to offer this course in a variety of training formats to suit your needs.
Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.
Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.
Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.