Data Analytics &Visualization

Enrolled (900+)

A data analytics course typically covers a range of topics related to collecting, processing, analyzing, and visualizing data to extract meaningful insights. Here’s a general overview of what you might expect from a data analytics course:

Course Eligibility: – BE/B.Tech/BCA/MCA

Course Overview

The data analytics course covers essential concepts such as data collection, cleaning, statistical analysis, and machine learning. Students gain proficiency in data visualization tools, programming languages like Python, and database management

Course Benefits

The benefits of a data analytics course include gaining a comprehensive understanding of data-driven decision-making, acquiring practical skills in data collection, cleaning, and analysis, and becoming proficient in relevant tools and technologies. The course enhances employability by preparing students for roles in data-driven industries and providing a foundation for continued career growth

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Course Details

Course overview and objectives
Importance of Data Analytics & Visualization in the industry
Understanding the learning path and outcomes

  • Introduction to Data Analysis Tools
  • Basics of Statistics Probability & Analytics
  • Concept of Data Processing & Implementation
  • Data Visualization Using Excel
  • Tableau Data Analysis
  • Basics of Power BI
  • Introduction to Python Language
  • Python Standard Libraries
  • File Handling & Regular Expressions
  • Database Access with Python
  • Introduction of Numpy
  • Basics of Pandas
  • Fundamental of Matplotlib
  • Learning of Seaborn
  • Introduction to My SQL
  • SQL Joins
  • SQL Aggregations
  • Subqueries and temp tables
  • SQL Data Cleanings
  • Window Functions
  • Types of SQL
  • Data Defining Language(DDL)
  • Data Manipulation Language(DML)
  • Data Control Language(DCL)
  • Transaction Control Language(DCL)
  • Data Query Language(DQL)
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