Published 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 95.37 MB | Duration: 0h 30m
Understand Data science basics and learn the data science workflow without any complicated language.
What you’ll learn
Data science field overview
Importance of data science
Common data science tools
Types of data
Data science workflow
Requirements
No prior experience required.
Description
With the increase in data generation, Data scientists are the most in-demand professionals in the industry. However, the supply is not matching the demand.This opens new arenas for professionals to move into the industry through training and development. However, the journey is not easy.Most of the online courses, right from the start focus on Statistics, Probability, and other concepts and it becomes difficult for someone to start with the basic concepts and understand why data science is important and what exactly it is.This course will get you started with1. What is Data science?2. Why is it important?3. What do Data scientists do?4. What are the common tools used in the industry?5. What is a Data science workflow?This course will be a stepping stone, and after taking this course you will be better equipped to take the next step in your journey to become a DATA SCIENTIST!WHO IS THIS COURSE FOR?Anyone who is curious about the field of Data science and wants to learn more.Features of this course are Clear and simple explanation, suitable for everyoneExamplesRecommendation on the next steps after this courseWhy wait? Click "Buy Now" and start your journey!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Introduction
Section 2: Data Science Field Overview
Lecture 3 Overview
Lecture 4 What is Data Science?
Lecture 5 Importance of Data Science
Lecture 6 What do Data scientists do?
Section 3: Common Data science tools
Lecture 7 Common Data science tools
Section 4: Types of Data
Lecture 8 Overview
Lecture 9 Structured Data
Lecture 10 Unstructured Data
Lecture 11 Time Series Data
Section 5: Data Science workflow
Lecture 12 Overview
Lecture 13 Problem Definition
Lecture 14 Data Collection and Preparation
Lecture 15 Data Exploration and Visualization
Lecture 16 Modeling
Lecture 17 Maintenance and Monitoring
Lecture 18 AutoML (Automated Machine Learning)
Section 6: Thank you!
Lecture 19 Summary and next steps
Beginners curious about data science,Data analysts who want to move into data science and need a basic overview of the field
Homepage
https://www.udemy.com/course/a-beginners-introduction-to-data-science/
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