A Beginners Introduction To Data Science

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