• Post category:StudyBullet-13
  • Reading time:4 mins read


Understand Data science basics and learn the data science workflow without any complicated language.

What you will learn

Data science field overview

Importance of data science

Common data science tools

Types of data

Data science workflow

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 with

1. 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?


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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 everyone

Examples

Recommendation on the next steps after this course

Why wait? Click “Buy Now” and start your journey!

English
language

Content

Introduction

Introduction
Course Introduction

Data Science Field Overview

Overview
What is Data Science?
Importance of Data Science
What do Data scientists do?

Common Data science tools

Common Data science tools

Types of Data

Overview
Structured Data
Unstructured Data
Time Series Data

Data Science workflow

Overview
Problem Definition
Data Collection and Preparation
Data Exploration and Visualization
Modeling
Maintenance and Monitoring
AutoML (Automated Machine Learning)

Thank you!

Summary and next steps