Data Analysis course
(LIVE, Practical, Interactive)

Data Analysis course
Unlock the power of data with our comprehensive Data Analysis course, designed to equip you with essential skills to succeed in todayโs data-driven world. In this course, you will learn to Analysis trends, interpret data, and make informed decisions using industry-standard tools like Excel and SQL. From understanding complex datasets to creating insightful reports, our curriculum is tailored to help you enhance business performance, improve operational efficiency, and make strategic decisions based on data.
Whether you’re a beginner or looking to upgrade your skills, this course will provide you with the practical knowledge and hands-on experience needed to thrive in the field of data analytics.”
What Youโll Learn
- Data Fundamentals
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- SQL for Data Analysis
- Programming for Data Analysis
- Machine Learning Basics
- Real-World Applications

Data Analysis
Our Data Analysis course is designed to equip learners with the essential skills to collect, clean, analyze, and interpret data effectively. Whether you’re a student, working professional, or aspiring analyst, this program will help you build a strong foundation and apply data insights in real-world scenarios.
Course Objectives
Understand the fundamentals of data analysis
Learn to work with data using tools like Excel, SQL, and Python
Develop the ability to visualize and communicate data findings
Apply statistical techniques to draw meaningful conclusions
Build real-world projects to strengthen your portfolio
What You Will Learn
Module Highlights:
Introduction to Data Analysis
Types of Data, Data Lifecycle, Analytical Thinking
Excel for Data Analysis
Formulas, Pivot Tables, Dashboards
SQL for Data Querying
Database Basics, Joins, Filtering, Aggregations
Python for Data Analysis
Data Wrangling with Pandas, Numpy, Matplotlib
Data Cleaning & Preparation
Handling Missing Values, Outliers, Data Formatting
Data Visualization
Charts, Dashboards with Power BI / Tableau
Basic Statistics for Analysis
Descriptive Stats, Probability, Hypothesis Testing
Capstone Project
Real-world business problem using full data analysis workflow
Tools & Technologies
- Microsoft Excel
SQL (MySQL/PostgreSQL)
Python (Pandas, Numpy, Matplotlib)
Power BI / Tableau
Jupyter Notebook
Why Choose Us?
โ Industry-relevant curriculum designed by experts
๐งช Hands-on learning with real datasets
๐งโ๐ป Expert trainers & mentors
๐ Certificate on completion
๐ผ Placement support & career guidance
Course Details
Duration: 8โ12 Weeks
Mode: Online / Offline / Hybrid
Level: Beginner to Intermediate
Eligibility: No prior coding experience required
Start Your Data Journey Today!
Become a confident, job-ready Data Analyst.
Enroll now and turn raw data into valuable insights.