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Become a Job-Ready Data Analyst with Practical Learning
Learn data analytics using industry-relevant tools, real-world projects, and hands-on training. This program is designed to take you from beginner level to confident data professional with strong fundamentals and practical exposure.
Course Overview
Whether you are a student, working professional, or career switcher, this Data Analyst Program will guide you step by step through essential data analytics concepts and tools.
From Python programming and data analysis to visualization, SQL, Power BI, and Tableau, you will gain practical skills through real datasets, case studies, and live projects that reflect real industry requirements.
What You’ll Learn
- Fundamentals of data analysis and business understanding
- Python for data analytics using NumPy and Pandas
- Exploratory Data Analysis (EDA) and data cleaning techniques
- SQL for data querying, joins, and analytics
- Data visualization using Power BI, Tableau, and Excel
- Working with real-world datasets and case studies
This course focuses on practical learning, real-world exposure, and career readiness. With structured teaching, continuous guidance, and industry-relevant tools, learners gain confidence and job-ready data analytics skills.
Course Modules – Data Analyst Program
Module 1: Introduction to Data Analytics
Understanding data analytics and its importance
Types of data and statistical analysis
Data analytics lifecycle and business understanding
Data collection, preparation, modeling, and deployment
Real-world use cases and industry examples
Module 2: Python for Data Analytics
Python installation and Google Colab setup
Python fundamentals, data types, loops, and functions
Working with NumPy and Pandas
Data manipulation and analysis techniques
Data visualization using Matplotlib and Seaborn
File handling and basic OOP concepts
Module 3: Exploratory Data Analysis (EDA)
Data sourcing and data cleaning
Handling missing values and invalid data
Feature scaling, normalization, and standardization
Outlier detection and treatment
Univariate, bivariate, and multivariate analysis
EDA reporting with practical case studies
Module 4: SQL for Data Analysis
SQL installation and database fundamentals
Writing queries using DDL, DML, and DQL
Joins, subqueries, and nested queries
Aggregation, string, and date functions
Window functions and SQL–Python connectivity
Module 5: Microsoft Excel for Data Analysis
Excel functions and formulas
Data analysis and formatting techniques
Pivot tables and charts
Dashboard creation in Excel
What-if analysis and scenario management
Module 6: Power BI & Data Visualization
Power BI Desktop and Service
Power Query Editor and data modeling
DAX fundamentals and measures
Interactive dashboards and KPIs
Row-level security and best practices
Live Power BI projects
Module 7: Microsoft Fabric & Modern Analytics
Introduction to Microsoft Fabric
Lakehouse architecture and practical implementation
SQL DB and Dataflows integration
KQL (Kusto Query Language) fundamentals
Power BI integration with Fabric
Module 8: Tableau for Data Visualization
Tableau fundamentals and architecture
Charts, dashboards, and analytics
Data blending, joins, and calculations
LOD expressions and forecasting
Dashboard design best practices
Module 9: ETL & Data Warehousing Basics
- ETL concepts and tools
- Data warehouse architecture
- Data marts and staging layers
- Data lakes vs data warehouses
- Industry use cases
Module 10: Capstone Projects
- Customer Churn Analysis
- Banking Risk Analysis
- End-to-End Sales Analysis
- Real-world datasets and presentation
Course Details
- Level: Beginner to Advanced
- Duration: 6 Months
- Format: Online (Live + Practical)
- Language: English
- Instructor: Umme Asma, Certified Data Analysis Trainer
What’s Included
- Live training sessions with expert guidance
- Downloadable learning resources and practice files
- Hands-on assignments and real-world projects
- Industry-standard tools and datasets
- Certificate of Completion
- Lifetime access to learning materials
Get in Touch With Us
Teaching Experience
Students Trained
Practical Learning
Tools Covered
- Real Story
What Our Students Say
Practical and career-focused learning designed to build real, job-ready skills, guided by industry-relevant tools, hands-on projects, and expert instruction that learners trust for confident career growth.
Still Have Questions?
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- Frequently Asked Questions
Clear Answers to Help You Get Started
Find clear answers to common questions about the Data Analyst program, learning process, tools covered, and enrollment details at NextGen Coders Hub.
Who can join the Data Analyst Program?
Anyone interested in learning data analytics can join this program. It is suitable for students, fresh graduates, working professionals, and beginners with no prior technical background.
Do I need prior coding or data knowledge?
No prior coding or data analytics experience is required. The course starts from basics and gradually moves to advanced concepts with clear explanations and practical examples.
What tools and technologies will I learn?
You will learn Python, SQL, Microsoft Excel, Power BI, Tableau, Microsoft Fabric, and data visualization tools used widely in the industry.
Is the course completely online?
Yes, the Data Analyst Program is conducted fully online with live sessions, practical assignments, and real-world projects for hands-on learning.
Will I work on real-world projects?
Yes, the course includes live projects, case studies, and practical assignments using real datasets to help you gain real industry experience.
Will I get career guidance or support?
Yes, the program follows a career-oriented approach and includes guidance on skill development, project work, and preparing for data analytics roles.
- Contact Us
We’re Here to Help You Learn Better and Grow Confidently
Have questions or want to enroll in our Data Analyst program? Get in touch with us today. Our team will be happy to guide you and help you take the next step in your learning journey.
Phone Support
+91 94826 06671
Email Support
umme.assu786@gmail.com
Head Office
#8, 10th Cross, Sri Sadashiva Temple Road, R.S. Palya, Bangalore – 560033