What is Data Analytics?

What does a Data analyst do? What is Data Analyst? Along with Best Books and Courses

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What is Data Analyst ? 

Are you wondering that what is data analyst and what does a data analyst do? Then tune in with us, in this article where we will explain you following contents in detail.

What is Data Analyst is a very common question among young computer engineers therefore here is an amazing article to solve your doubts and provide proper guidance.

What does a data analyst do?

What does a data analyst do?

Data Analysts have become one of the highest-paid job roles in the field of computer science and thus, makes it a highly sought sector by computer engineers.

Data Analysts accumulate data from various sources, this data is then sorted, organized, and interpreted into information that is useful for business, future predictions, decision making, and many other purposes.

A Data Analyst has to work with huge sets of data from the users or potential customers to predict the best outcomes that can prove beneficial for the organization.

This role is in high demand in the current century due to the huge accumulation of structured and unstructured data that needs to be organized and interpreted.

According to a data set, around 2.3 million jobs are posting in the USA for skilled data analysts and data scientists.

Companies are ready to pay high wages for such job roles. According to Zippia, the average salary of a data analyst is $54,000 with an experience of 2—3 years of experience.

 

What is Data Analytics?

What is Data Analytics?

Before starting with data analytics, let’s start with some basics on what is data.

What is Data?

Data is information in digital format, as encoded text or numbers, or multimedia images, audio, or video. This data is stored inside your computer in the form of bytes.

Data can be classified into structured and unstructured data. This raw data needs to be analyzed and mined to get valid output.

What is Data Analytics?

Data Analytics is a very important part of data science and artificial intelligence that helps in various business organizations and our day-to-day lives.

The final goal of data analyses is the discovery of useful information, helpful in decision making and forging conclusions.

Here is an amazing animated video on introduction to data analytics by DataWrangler,

The basic steps in data Analytics are,

  • Data inspection
  • Data cleaning
  • Data manipulating
  • Data transformation
  • Data modeling
  • Data mining.

Data Analysis

Data inspection –

This is the most initial and very important process in data analytics that mainly consists of data viewing, verification, and debugging.

This process is executed to avoid any misleading or incorrect data to enter further processes in analyzing data.

 

Data cleaning –

In this process, the misleading and incorrect data that are inspected in the initial process of data analysis is cleaned (removed) from the data.

Data cleaning is an essential process to ensure the accuracy and quality of collected data.

 

Data manipulating –

Data manipulation is the process of changing the data to make it more organized, readable, and accessible for storage inside the system.

 

Data transformation –

Data transformation is the process of converting the data from one format to another.

Data transformation plays an important role in data storage as text, images, or video cannot be stored directly. This text, images, or video is converted into digital format.

 

Data Modeling –

Data modeling is the process of building a data model for the storage of data in a database.

 

Data Mining –

Data mining is the process of converting raw data into advantageous information. Data mining is used to inspect patterns and structures in huge amounts of data.

This data is then analyzed to develop an effective marketing strategy or to improve the quality of a product based on customer feedback.

Skills for becoming Data Analyst –

To become a successful and prominent data analyst the skills that are noted below must be at hand.

 

Technical Skills:
1. Mastered Statistical Programming language.

Data analytics can be performed by using various programming languages, but every data analyst prefers to use Python or R programming language due to its frameworks and libraries specially made for this purpose.

Technical Skills

  • Machine learning
  • Mat lab
  • SQL
  • Data Cleaning and data preparation
  • Spreadsheets
  • Data Visualization and presentation
  • Problem-solving
Soft skills :
  • Writing and Communication skills
  • Domain knowledge and research
  • Leadership and Management skills
  • Statistical knowledge

Books for Data Analysis

Data Analytics is an important part of data science therefore, you might find some of the data science books recommended below.

 

Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy; Author – Oliver Theobald

If you are a beginner and want to start from complete basics and introduction then, I suggest you read this book mentioned below.

 

 

 

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

 

 

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

 

 

Courses for Data Analytics :

 

1. Data Analytics for Beginners | Introduction to Data Analytics | Data Analytics Using R | Edureka

 

This is an amazing introductory course for Data Analytics that provides a detailed introduction to what is data analytics with some great in-depth concepts.

This is a free course on YouTube that is specifically for beginners. This course uses R as its statistical programming language.

 

 

2. Tableau 2020 A-Z: Hands-On Tableau Training For Data Science

 

Tableau 2020 A-Z: Hands-On Tableau Training For Data Science

Course link: https://www.udemy.com/course/tableau10/

This is an complete Data Science course for beginner that includes all important data analytics concepts. This is an amazing certified course with an great instructor.

Udemy is a great platform with really amazing courses to offer, and we strongly recommend you this course for your Data Science and Data Analytics career.

Prerequisite: Basic knowledge of computers

Course length: 9 hours

Instructor: Kirill Eremenko

Review: 4.6 / 5 

3. SQL – MySQL for Data Analytics and Business Intelligence

 

SQL – MySQL for Data Analytics and Business Intelligence

Course link: https://www.udemy.com/course/sql-mysql-for-data-analytics-and-business-intelligence/

If you are searching a course that focuses on Data Analytics implementation in Business this is the best course that we would recommend. 

Prerequisite: No prior experience is required. Course will start from complete basics

Course length: 9.5 hours

Instructor: 365 Careers

Review: 4.6 / 5

4. Beginner Statistics for Data Analytics – Learn the Easy Way!

Beginner Statistics for Data Analytics – Learn the Easy Way!

Course link: https://www.udemy.com/course/beginner-stats/

This is an amazing course for Data Analytics beginners that focuses on Data Mining. It provides great in-depth explanation on all important topics.

As the title suggest, this course provides explanation in simple language that is understandable by beginners.

Prerequisite: Any version of Excel will work but preferably Excel 2016+

Course length: 3 hours

Instructor: Nate Wisdify

Review: 4.5 / 5

 

Scope and Salary for Data Analysts

Scope and Salary for Data Analysts

In this modern world, huge sets of data are accumulated on the internet in the form of structured and unstructured format. This data is needed to be collected and analyzed, thus the demand for data analytics is nowhere to decrease.

According to a data set, around 2.3 million jobs are posting in the USA for skilled data analysts and data scientists.

Companies are ready to pay high wages for such job roles. According to Zippia, the average salary of a data analyst is $54,000 with an experience of 2—3 years of experience


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