Data Analyst

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About Course

A data analyst is a professional who collects, processes, and analyzes data to help organizations make informed decisions. By using statistical tools and software, data analysts interpret complex datasets, identify trends, and generate insights that can influence business strategies. They often create visual representations of data, such as charts and graphs, to communicate findings effectively to stakeholders. With strong analytical skills and a keen attention to detail, data analysts play a crucial role in various industries, driving improvements in operations, marketing, finance, and more. Their work enables companies to leverage data for competitive advantage and enhance overall performance.

Basic Information

  • Course Fees : ₹29,500/- without scholarship
  • Course Duration : 6 MONTHS to 12 MONTHS
  • Scholarship available
  • 100% Job Assurance

Syllabus

1) Fundamentals of Computers
2) Microsoft Office Suite
3) Programming Basics
4) Web Development
5) Networking Basics
6) Database Management
7) Software Engineering Principles
8) Cybersecurity Basics

Course Highlights

The data analyst course is suitable for a wide range of participants. It is ideal for individuals with a basic understanding of statistics and data handling, including recent graduates seeking to enter the field. Professionals looking to enhance their analytical skills or transition into data roles will also find this course beneficial. Additionally, anyone interested in harnessing data for decision-making, such as business owners or marketers, can gain valuable insights from the curriculum. Overall, the course welcomes anyone motivated to develop their data analysis skills, regardless of their background or experience level.

The project for the data analyst course is a key component that allows participants to apply the skills and techniques learned throughout the curriculum. Students will select a real-world dataset relevant to their interests or industry and conduct a comprehensive analysis. This involves cleaning the data, performing statistical analyses, and creating visualizations to uncover insights. Participants will then compile their findings into a report or presentation, showcasing their ability to interpret data and communicate results effectively. This hands-on project not only reinforces practical skills but also provides valuable experience in tackling real data challenges, making it a vital part of the learning process.

The duration of the data analyst course typically spans 6 to 12 months, depending on the curriculum’s depth and the frequency of classes. This timeframe allows participants to engage thoroughly with the material while providing ample opportunity for hands-on practice and project work. By the end of the course, students will have developed a solid foundation in data analysis techniques and tools, preparing them for practical applications in their careers or further studies. Flexible scheduling options may also be available to accommodate diverse needs.

Classes for the data analyst course are held 5 days in a week, each lasting approximately 1 to 2 hours with free English classes. This schedule is designed to provide ample time for learning, hands-on practice, and interaction with instructors while fitting into participants’ busy lifestyles.

5+ Expert Faculties Available​

Emi Available

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Table of Content

Introduction to Computers

  • 1.1 Overview of Computer Systems
  • 1.2 Types of Computers
  • 1.3 Basic Computer Operations

Operating Systems

  • 2.1 Introduction to Operating Systems
  • 2.2 Windows Operating System
  • 2.3 File Management
  • 2.4 System Utilities

Microsoft Office Suite

  • 3.1 Microsoft Word
    • 3.1.1 Document Creation and Formatting
    • 3.1.2 Tables and Graphics
  • 3.2 Microsoft Excel
    • 3.2.1 Formulas and Functions
    • 3.2.2 Data Analysis and Charts
  • 3.3 Microsoft PowerPoint
    • 3.3.1 Creating Presentations
    • 3.3.2 Slide Transitions and Animations
  • 3.4 Microsoft Access
    • 3.4.1 Database Concepts
    • 3.4.2 Creating and Managing Databases

Programming Basics

  • 4.1 Introduction to Programming Languages
  • 4.2 Basic Concepts in Programming
  • 4.3 Introduction to C/Python/Java

Web Development

  • 5.1 HTML Basics
  • 5.2 CSS for Styling
  • 5.3 Introduction to JavaScript
  • 5.4 Basic Website Creation

Database Management

  • 6.1 Introduction to Databases
  • 6.2 SQL Basics
  • 6.3 Data Manipulation and Retrieval

Networking Fundamentals

  • 7.1 Types of Networks
  • 7.2 Internet Basics
  • 7.3 Network Security Principles

Cybersecurity Essentials

  • 8.1 Common Threats and Vulnerabilities
  • 8.2 Best Practices for Safe Computing

Career Guidance and Placement Preparation

  • 9.1 Resume Writing
  • 9.2 Interview Skills
  • 9.3 Job Search Strategies

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