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Data Analytics for Beginners

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Data Analytics for Beginners

Introduction

Data Analytics is the process of examining raw data to find useful information, draw conclusions, and support decision-making. It helps individuals and organizations to understand trends, patterns, and insights hidden in data.

Objectives

  • Understanding the basics and importance of data-driven decision-making.
  • Exploring structured and unstructured data, databases, and data collection methods.
  • Handling missing values, outliers, and preparing data for analysis.
  • Creating and interpreting charts, graphs, and dashboards using tools like Excel, R or Python
  • Applying fundamental statistical concepts to derive insights from data.
  • Understanding predictive modeling and how data analytics connects to AI.
  • Practical exercises to apply concepts in real-world scenarios

Career Path

  • Data Analyst
  • Business Analyst
  • Data Scientist 
  • Data Engineer 
  • Marketing Analyst 
  • Financial Analyst 
  • Operations Analyst 
  • Product Analyst 

Fee Structure Data Analytics for Beginners

Data Analytics for Beginners
Duration 8 Weeks
Total Semesters 1
Total Package 10,000
At Admission Time 10,000
Semester Fee x Installments 0 * 2
Examination Fee. (Per Semester) 0
Mics. (Per Semester) 0
Additional Charges at the time of Admission
Web Portal fee per year for Learning Management Syste 0
Library Security Fee (Refundable) 0
Student Card 0
Library & Magazine Fund 0
Total Additional Charges 0
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Introduction
Related Programs
Objectives
Career Path
Fee Structure
Scheme of Study