How to become a data analyst? Step-by-Step Guide

Companies are shifting towards digitization. The total amount of data generated worldwide is expected to be 59 Zettabytes by 2020. Data professionals are in high demand today because organizations depend on huge amounts of data to make business decisions.

It is therefore important to extract the best possible value from this raw data. Data analysts are needed to analyze the data and turn it into useful information. Data analysts are a demanding career with a high salary and remote work options.

This article will cover everything you need to know about data analysts and their responsibilities.

Who are Data Analysts and What do they do?

Data analysts are professionals who gather, organize, analyze, and retrieve data in order to gain valuable insights into business information. Data analysts can use customer feedback, logistics, accounts and other data to perform analytics. Data analysts can transform businesses, empowering them to make data-driven decisions in every industry from healthcare to retail to food & beverage.

Data analytics encompasses many types of analysis. Analytics is the term used by data professionals to extract useful insights from the data.

Here’s the complete guide to becoming a data analyst. Let’s get started.

To become a data analyst, you must have the following qualifications

You can get a job as Data Analyst if you have a Bachelor’s degree in data science. A degree in data science will allow you to specialize in math, statistics, economics and more.

If you are a graduate in another field, you can search for professional courses in Mumbai that will help you gain industry-relevant skills. You must be mentally ready for the challenges of this career. These are some calculative questions to ask yourself:

  • Programming is what excites you most.
  • Are you a graduate or higher in Computer Science, Statistics and Economics? ?
  • Are you up to the challenge of this career path?
  • Do you have the ability to analyze complex data patterns and create strategies to turn them into business information?

The certification program is sure to help you gain practical experience and make you a market expert.

How to become a Data Analyst

Upskill yourself with Applied Mathematics & Statistics

The path to becoming data analyst is easy if you have a technical background. For non-technical degree holders, it takes a bit more effort to get your dream job. To find the top data analytics courses in Mumbai, conduct thorough market research. This will help you become a data professional.

To improve your knowledge, read as many books as possible on these topics.

  • Clustering
  • Data Analysis
  • Machine Learning
  • Regression Analysis
  • Statistical Modelling

Become A Pro in Programming Languages

Data Science graduates must be proficient in JAVA, HTML or C. But, it is possible to learn modern coding bases like Python and R, which can help you make your career more flexible. Python is very easy to grasp, and programming can make it even more simple.

Python is a programming language that can be used for both web and desktop development. This language allows you to analyze data across different platforms and operating system. Learn Python to manage large data sets and gain more proficiency with analysis and calculations.

Practical Experience with Data Visualization Tools

Data visualization tools are essential to excel as a data analyst. Visual data formats can include images, graphs, and presentations. This is a crucial step that data analysts must take to be able to analyze large datasets efficiently and convert complex insights into attractive visualizations.

Below is a list of data visualization tools most frequently used by data analysts.

  • D3
  • Take a look at
  • Sisense
  • Tableau
  • PowerBI
  • E Charts
  • Preview
  • MS Excel
  • Infogram
  • QlikSense
  • HighCharts
  • Dundas BI
  • FusionCharts
  • Datawrapper
  • Google Charts

Just learn Artificial Intelligence & Machine Learning

Artificial Intelligence is a blend of interactive technologies and machine-learning. It is used to personalize marketing. Data scientists can use these technologies and algorithms to quickly test and retest code. Data analysts use predictive analytics to forecast the future using past data patterns.

AI machine learning is growing rapidly and bringing all industries great benefits. In the next few years, there will be significant technological innovation. Artificial intelligence and process automation will play an important role. You will need to be able to use AI and ML technologies to make quality predictions in order for you become a data analyst.

Data analysts need to have the following skills

  • Understanding Python, R and other programming languages.
  • Computer fundamentals must be understood and fully understood.
  • You should be able to use NoSQL and SQL.
  • Data analysts must be able to make many predictions. Knowledge of probability is essential.
  • Data modeling is required to understand how to analyze data objects and their relationships.

The demand for data analysts is increasing at an even faster rate around the globe. You can pursue Data Analytics Certification with IBM if you’re interested in a career as a data analyst. This certification course includes interactive modules.

  • Analytics and Programming Foundation
  • Data Analytics with Python
  • R Programming for Data Science
  • Data Science with R
  • Tableau Training
  • Capstone for Data Analysts

This certification program offers elective modules in Power BI or Artificial Intelligence. This information should help you get started on a smooth learning journey in data analysis.

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