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.
Modules
Module 1
Course Papers
- Foundations of Data Analytics
Course Syllabus
- 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
Course Syllabus
- 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
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!
