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Data Analyst

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What is Data Analyst

Data analysts play a crucial role in gathering, refining, and analyzing data. They transform complex datasets, such as sales data, market research findings, and logistical information, into understandable insights. Data analysts ensure data accuracy by standardizing and organizing it for efficient utilization.

This profession offers versatile career paths, with opportunities in various sectors including finance, consulting, manufacturing, pharmaceuticals, government, and education.

Data analysts are highly sought after in every sector, offering a promising career trajectory for those aiming to advance professionally.

Data Analytics Course Highlights !

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Most Advanced Course Curriculum

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Case Studies

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Assignment & Assessment Test

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Capstone Project

Why is this skill so popular these days

Data has become a key focus in the 21st century. It’s all around us. From big companies and businesses to personal information, analyzing data can help everyone.

But how do we do that?

This is where “Data Analytics” steps in to save the day. In this blog titled ‘Data Analytics: Why is it an in-demand profession?’, you’ll gain valuable insights into this topic.

Data Analytics: Eligibility Criteria

Data Analytics can also be pursued at the postgraduate level, offering specializations within the realms of Computer Science and Management for interested candidates. To embark on this path, aspirants are required to obtain an undergraduate degree, preferably in fields such as statistics or information technology, achieving a minimum of 60% overall or a comparable CGPA.

Furthermore, for those aiming to carve out a career as data analysts, it is essential to hold an academic background in Economics, Statistics, Computer Science, or Mathematics. Additionally, it is recommended that candidates possess three to four years of professional experience in data mining. This combination of academic knowledge and practical experience is crucial for excelling in the data analytics domain.

Data Analytics Syllabus

  • Data Structures and Algorithms
  • Business Fundamentals
  • Data Visualization
  • Simulation
  • Marketing Analytics
  • Retail Analytics
  • Probability and Statistics
  • Text Analytics
  • Statistical Analysis
  • Machine Learning
  • Pricing Analytics
  • Customer Analytics
  • Relational Database Management Systems
  • Data Collection
  • Forecasting Analytics
  • Optimization
  • Social Network Analysis

FAQs

Data analytics is the science of analyzing raw data in order to make conclusions about that information.
Presently, skilled data analysts are some of the most sought-after professionals in the world.
Data Analysts require skills such as Structured Query Language (SQL), Microsoft Excel, Critical Thinking, R or Python–Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning, etc.
To embark on a career as a data analyst, obtaining a Bachelor’s degree is typically a fundamental step, as it’s a prerequisite for the majority of entry-level roles in the field. Suitable academic backgrounds for this profession encompass areas such as Finance, Economics, Mathematics, Statistics, Computer Science, and Information Management.