Trust & authenticity Verify Certificate
Franchise
Study Center Detail
Franchise Detail

All Courses

Type a course name or short form (acronym) to find any course quickly.

Data Analyst

Data Analyst Course Big Data

Start Date 1 October 2026
Duration 6 Months
Mode Online / Offline
Certification CITC Certified
Batch / Course DA
Enroll Now

Click here for CITC All Courses FEES

Course Highlights

What you get when you enrol with CITC

Industry-ready Curriculum
Practical Learning
CITC Certificate
Flexible Batches
Placement Support
Career Guidance
1,744+ Franchises
41,756+ Students
445+ Courses
10,439+ Govt. Placements
22,966+ Private Placements
Data Analyst Course Big Data

Data Analyst Course: Big Data and Analytics Projects

Introduction

This 6-month data analyst course is designed for students, professionals, and enthusiasts who want to build a solid foundation in the world of data. Whether you're interested in understanding data and big data, learning how to use analytics tools, or applying big data analytics tools to real-world problems, this course prepares you for the most in-demand data analyst jobs.

Offered in both online and offline formats, this course blends theory with practical applications, enabling you to confidently work with big data types, tools like Hadoop, and cutting-edge data visualization tools. With a focus on industry-relevant skills and technologies, you’ll also explore data collection methods, deep learning, and cloud-based integration to stay ahead in the evolving analytics space.

Course Papers / Subjects

What you will study in this programme

01
Introduction to Data Analytics
02
Understanding Data Types and Data Sources
03
Tools and Technologies for Data Analysis
04
Data Cleaning and Preprocessing
05
Exploratory Data Analysis (EDA)
06
Data Visualization
07
Data Preparation for Analysis
08
Statistical Concepts for Data Analysis
09
Data Collection Methods
10
Data Analysis Techniques
11
Data Reporting and Visualization
12
Introduction to Data Warehousing
13
Introduction to Data Mining
14
Introduction to Business Intelligence (BI)
15
Introduction to Big Data
16
Machine Learning for Data Analysis
17
Cloud Computing and Data Analysis
18
Ethical and Legal Considerations in Data Analysis
19
Practical Exercises in Data Analysis

Syllabus (Module-wise)

Expand each topic for details

Module 1

Course Papers

  • Foundations of Data Analytics

  • What is Data Analytics
  • Why is Data Analytics Important
  • Types of Data Analytics
  • The Role of a Data Analyst
  • Tools Used by Data Analysts
  • Real-Life Applications of Data Analytics
  • Career Path & Opportunities for Data Analysts

  • Introduction to Data
  • Types of Data
  • Sources of Data
  • Data Collection Techniques

  • Overview of Data Analysis Tools
  • Excel for Data Analysis
  • SQL for Managing Databases
  • Python for Data Analysis
  • Tableau and Power BI for Data Visualization

  • Introduction to Data Cleaning
  • Importance of Data Cleaning
  • Common Data Issues and Their Solutions
  • Steps in Data Cleaning Process
  • Tools for Data Cleaning
  • Best Practices for Data Cleaning

  • What is Exploratory Data Analysis (EDA)
  • Importance of EDA in Data Analysis
  • Key Steps in Exploratory Data Analysis
  • Tools for Performing EDA
  • Best Practices for EDA

  • Introduction to Data Visualization
  • Importance of Data Visualization
  • Types of Data Visualizations
  • Tools for Data Visualization
  • Best Practices for Data Visualization

  • Introduction to Data Preparation
  • Importance of Data Preparation
  • Steps in Data Preparation

  • Introduction to Statistics in Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Hypothesis Testing
  • Correlation and Regression
Module 2

Course Papers

  • DA Techniques & Applications

  • Introduction to Data Collection

  • Introduction to Data Cleaning and Preprocessing
  • Common Data Cleaning Tasks
  • Common Data Preprocessing Tasks
  • Tools for Data Cleaning and Preprocessing

  • Introduction to Data Analysis Techniques
  • Descriptive Analysis
  • Diagnostic Analysis
  • Predictive Analysis
  • Prescriptive Analysis

  • Introduction to Data Reporting and Visualization
  • Types of Data Reports
  • Data Visualization Techniques
  • Tools for Data Reporting and Visualization
  • Best Practices for Data Reporting and Visualization
  • Example Use Case: Data Reporting in Retail

  • What is a Data Warehouse
  • Components of a Data Warehouse
  • Benefits of a Data Warehouse

  • What is Data Mining
  • Data Mining Techniques
  • Applications of Data Mining
  • Challenges in Data Mining

  • What is Business Intelligence
  • Components of Business Intelligence
  • Benefits of Business Intelligence
  • Popular Business Intelligence Tools
  • Applications of Business Intelligence
  • Future Trends in Business Intelligence

  • What is Big Data
  • Characteristics of Big Data
  • Types of Big Data
  • Importance of Big Data Analytics
  • Tools Used in Big Data (Including Hadoop)

  • What is Machine Learning
  • Types of Machine Learning
  • Common Machine Learning Algorithms for Data Analysis
  • Steps to Perform Machine Learning for Data Analysis
  • Real-world Applications

  • What is Cloud Computing
  • Benefits of Cloud Computing for Data Analysis
  • Popular Cloud Platforms for Data Analysis
  • Cloud Integration in Data Workflows
  • Real-world Use Cases
  • Challenges of Cloud Computing for Data Analysis

  • Importance of Ethics in Data Analysis
  • Ethical Issues in Data Analysis
  • Legal Frameworks for Data Protection
  • Best Practices for Ethical and Legal Compliance in Data Analysis

  • Exercise: Data Cleaning and Preparation
  • Exercise: Descriptive Statistics
  • Exercise: Data Visualization
  • Exercise: Predictive Analysis Using Machine Learning
  • Exercise: Real-world Problem Solving
  • Exercise: Building Dashboards
  • Exercise: Case Study
  • Exercise: Ethical and Legal Compliance Checklist

What You Will Learn & Career Scope

Details from the course content

Why Choose This Course?

This is one of the best data analyst courses available today, tailored to suit both beginners and those looking to upskill. With a strong balance between conceptual clarity and hands-on practice, the course ensures you're job-ready upon completion. Plus, it’s offered both online and offline, with flexible access and support from experienced instructors.

You'll gain practical experience with leading analytics tools, handle big data, explore data visualization techniques, and even work on projects that mirror real-life challenges faced by professionals in data analyst jobs.

What Will You Learn?

  • How to clean, analyze, and visualize data
  • Use tools like SQL, Excel, Tableau, Power BI, and Python
  • Understand and work with big data analytics tools
  • Apply machine learning to real-world datasets
  • Create compelling reports and dashboards
  • Use cloud platforms and understand cloud integration
  • Learn about data mining, BI, and ethical data practices


Opportunities After This Course

  • Data Analysis
  • Business Intelligence
  • Data Visualization
  • Data Warehousing
  • Big Data Analytics
  • Hadoop-based systems
  • Machine Learning & AI Support Roles
  • Cloud-Based Data Solutions


Whether you're searching for a data analyst course near me or an online data analyst course, this training prepares you for roles in startups, MNCs, and consulting companies.

Who Can Enroll?

  • Students from IT, Commerce, or Management backgrounds
  • Working professionals seeking to switch to a data role
  • Entrepreneurs wanting to make data-driven decisions
  • Anyone with a passion for data and big data analysis


Whether you're just getting started or transitioning into tech, this data analyst course ensures that every learner receives step-by-step guidance with enough time to practice, build, and grow.

Enroll Now

Take the leap and join our 6-month Data Analyst program—available both online and offline. From mastering visualization tools to deploying analytics on cloud platforms, this course covers every essential concept you need to become a job-ready data analyst.

👉 Learn at your pace, build real-world projects, and launch your career in data analytics.
Seats are limited — enroll today!

Enroll Now

Frequently Asked Questions

Common questions about this course

A data analyst collects, cleans, analyzes, and visualizes data to help businesses make informed decisions. CITC’s Data Analyst Course covers practical data analysis using tools such as Excel, SQL, Python, Tableau, and Power BI.

A good data analyst course should cover data analysis, Excel, SQL, Python, data visualization, and practical projects. CITC’s Data Analyst Course provides training in these key areas to help learners build job-relevant data analysis skills.

Yes, you can learn the fundamentals of data analysis in 3 months with consistent practice and structured training. CITC’s Data Analyst Course can help beginners develop practical skills in data analysis and visualization.

The CITC Data Analyst Course syllabus covers data analysis, Excel, SQL, Python, data visualization, Tableau, Power BI, and practical projects. It helps learners develop skills to analyze and present data effectively.

The minimum eligibility for CITC’s Data Analyst Course is 12th standard.

CITC does not list a free full Data Analyst Course on its website. CITC offers a structured 6-month Data Analyst Course with online and offline learning options

The fee for CITC’s Data Analyst Course is not listed as a fixed amount on the course page. Students can check CITC’s latest fee details or contact CITC for the current course fee.

Yes, students receive a certificate after successfully completing CITC’s Data Analyst Course. The certificate recognizes the learner’s completion of the course and training.

Yes, CITC’s Data Analyst Course includes training in Power BI and Tableau for data visualization. Students learn to use these tools to analyze and present data through interactive reports and dashboards.

Yes, CITC’s Data Analyst Course provides practical training with data analysis tools such as Excel, SQL, Python, Power BI, and Tableau. Learners get hands-on practice to apply data analysis concepts in real-world situations.

Real Stories. Real CITC.

Stories That Inspire Trust

Training at 25 PB Battalion

Training at 25 PB Battalion

Training at 13 PB Battalion

Training at 13 PB Battalion