Effortless Data Analytics For A Better Tomorrow

Effortless Data Analytics For A Better Tomorrow

Let us understand what Data Analytics is!

Data analytics is a process of investigating sensitive or raw data to reach certain conclusions. Performance can be optimized by using Data Analytics.

Data driven by Analysis is known as DATA ANALYSIS.

Well when you need to conclude any data which is raw at that moment Data Analytics is used rather it can be said that after analyzing raw data to draw trends and reach it’s conclusions.

“Data is growing approximately 60% per year.”

Data Analytics makes all the sensitive and raw data meaningful.

Responsibilities of Data Analyst

  1. Initially a data analyst collects all the raw data.
  2. Analysis the data with statistical techniques then generating reports of the same.
  3. Implementing and Developing all the data in the database.
  4. Interprets trends in complex data sets.
  5. Removing all the garbage and filtering data.

Data Analysis

Roles of Data Analyst

  • Most of the time a Data Analyst works in a group in which every one is assigned different tasks. They work on structured data most probably.
  • They generate dashboards, reports and visualization on the data linked with business, clients, market economics.
  • Pictorial representation is considered to be very important when analyzing any data as with it’s help anyone can understand reports easily.

Skills required for becoming Data Analyst

Technology Uses in Data Analytics
Microsoft Excel Helps in creating reports and mathematical functions.
SQL Used to interact with the data stored in Database.
Python Python helps in creating and managing data structures quickly.
Tableau Tableau allows you to prepare, analyze, collaborate and share your insights.
SAS SAS performs functions like retrieve, report and analyze the statistical data.
R Programming Helps in building practical model and identifies patterns.
Microsoft Power BI Power BI supplies interactive data visualization.
Microsoft PowerPoint Helps in representing data.
Microsoft SQL Server Adds value to already present data in the database.
Oracle Doesn’t compromise in security also provides capabilities to address the entire analytical process.

Who can become a Data Analyst?

  • Being a fresher in Data Analyst, the least requirement of the same is Bachelor’s Degree and technical skills, statistical skills.
  • Should have the ability to solve problems in various situations.
  • Try to build real time projects to boost your technical skills.
  • Get certified in some courses or programs of Data Analyst.

<img style="width: 40%; height: 100%; display: block; margin: 0 auto;" src="https://www.easternts.com/wp-content/uploads/2022/06/giphy-1.gif" alt="Data Analytics

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Why is Data Analyst important?

If raw data is not analyzed that data is fully wasted so data analytics is very necessary.

Performance of any business can be optimized using Data Analytics. With it the costs of business model can be reduced
a firm can also use data analytics for decision making which helps satisfying the customers and leads to better goods and services.

Helps in improving the managerial operations of organization to the next level.

Visualization is one of the most important step which helps to get pictorial representation in the form of various graphs, pivot tables etc.

List of Different ways to analyze the data

  1. Data Visualization
  2. Data Mining
  3. Text Analytics
  4. Business Intelligence

Data Analysis

Here are some basic fun quiz questions

Q.1 Is Data Analytics having any relation with statistics?

A. Maybe
B. Absolutely
C. Not at all

Data Analysis

Q. 2 You are having a lot of raw data so what will be your first step?

A. Arranging Data
B. Defining Conclusion of Data
C. Discussion with the Group

Q. 3 Which of the following Technology is used for Analyzing Data?

B. Python
C. Object Oriented Programming

NOTE: Find out the answers in the above paragraphs.