Explore The World Of Data Science (Lecture)
- Created By raju2006
- Last Updated December 26th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
This lecture will give a broad overview of Data Science. We’ll clarify the relationship between Data Science and Machine Learning and explore the Data Science process.
Long Description:
Unlock the essentials of data analysis with our comprehensive course. Learn to craft actionable data analysis questions and acquire the right data to answer them. Dive into the critical aspects of data exploration, emphasizing the significance of clean, complete, and diverse data. Explore the effective application and evaluation of Machine Learning models. Through practical demonstrations using Pandas and Scikit-learn, you'll gain valuable insights into working on Data Science projects. This course not only equips you with the skills needed for data analysis but also highlights the crucial decision points that impact a project's success. Join us to master the art of data-driven decision-making and steer your projects towards success.
Course Code/Duration:
BDT40 / 1 Day
Learning Objectives:
After this course, you will be able to:
- Understand the relationship between Data Science and Machine Learning
- Become familiar with the Data Science process
- Identify effective data analysis questions that are actionable
- Identify effective data sources
- Understand the importance of clean, complete, and quantity of data
- Understand how Machine Learning is applied and evaluated within the Data Science process
- Become familiar with some of the tools used throughout the process
- Basic programming knowledge will be helpful but not required
- Developers, Business Analysts who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning, Non-technical professionals who want to start a career in Machine Learning
- Developers, Business Analysts who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning, Non-technical professionals who want to start a career in Machine Learning
Course Outline:
- Introduction to lecture
- Data Science vs. Machine Learning
- The Data Science process
- The importance of data
- Exploring and transforming data
- Creating and evaluating Machine Learning models
- Developing an effective Data Science strategy
- Demonstration of the Data Science process using pandas and scikit-learn
- Next Steps
Structured Activity/Exercises/Case Studies:
- Demonstration – the Data Science process using pandas and scikit-learn
Training material provided:
Yes (Digital format)
