| S. No. | NOS / Module Name | Topics | Theory (Hours) | Lab (Hours) | Learning Outcomes |
|---|---|---|---|---|---|
| 1 | Perform basic calculation using spreadsheet | Introduction to data analytics and data science, Windows and Spreadsheet | 15 | 15 |
• Understand the features of Spreadsheet • Create & save worksheet/workbook • Understand layouts, text formats, alignment • Use basic functions, formulas, sorting • Understand graphs in Excel |
| 2 | Manage structured data | Database concepts | 15 | 15 |
• Introduction to databases & advantages of DBMS • Keys: candidate, primary, alternate, foreign • Entity & referential integrity • ER model & SQL basics • Knowledge Discovery, Data Mining, Data Warehouse • Data migration, cleaning & aggregation |
| 3 | Analyze data using spreadsheet tool | Fundamentals of statistics, Pivot Table, What-if Analysis | 30 | 60 |
• Data formatting & conditional formatting • Charts & advanced charting • Pivot Table & data validation • Filtering & advanced filtering • What-if analysis, probability, regression & descriptive statistics |
| 4 | Manage data in Open Source tool | Linux basics, Ubuntu installation, Commands & Permissions | 15 | 15 |
• Setup virtual machine & Ubuntu • File system, mounting, searches • Text editors, commands, piping & filtering • Users, groups, permissions & security |
| 5 | Visualize data graphically | Tableau | 20 | 40 |
• Introduction to Tableau • Connect to Excel, CSV & Databases • Formatting, sorting & charts |
| 6 | Installation of Hadoop & Java Programming | Hadoop framework & Core Java | 15 | 15 |
• Install Hadoop & environment setup • Java basics: OOPs, loops, methods, arrays • Method overloading & overriding • HDFS concepts & commands • Hadoop cluster setup & architecture |
| 7 | Manage big data using Hadoop | Big Data analytics with MapReduce & Hive | 30 | 30 |
• Big Data concepts & business importance • MapReduce implementation • Hive concepts & case studies |
| 8 | Front end application development | Java with Hive | 20 | 40 |
• Advanced Java concepts • Applets & Swings • JDBC connectivity, ODBC bridge • Database connectivity with Applets |
| 9 | Implementation of use cases | Use cases in Data Analytics | 20 | 40 | • Practical implementation of data analytics use cases |
| 10 | Employability Skills | Soft skills & communication | 60 | • Job readiness & professional development skills | |
| 11 | OJT / Project | On-the-job training | 30 | • Hands-on exposure to workplace environment | |
| Total Duration | 540 | — | |||
Junior Data Analyst
Data is the heart of every organization's decision today. From e-commerce and banking to healthcare and IT, companies rely on data to understand trends, identify opportunities and drive business growth. Skilled Data Analysts who can manage, interpret and visualize data are in huge demand across industries.
Our Junior Data Analyst programme is a 12 Months (540 Hours) industry-focused course that develops both technical and analytical skills through classroom learning, practical labs and real-world projects.
With the perfect balance of theory, practical implementation and project-based learning, you'll learn how to transform raw data into meaningful business insights and become industry-ready.
Enquire NowDuration
12 Months / 540 Hours
Learning Method
Classroom + Practical Labs + OJT / Project
Core Skills
Data Analysis, Tableau, Hadoop, Big Data & Java
Career Ready
Industry Projects & Employability Training Included
What You'll Learn
The Junior Data Analyst programme is carefully designed to build your analytical, technical and practical skills through industry focused modules and hands-on learning.
Spreadsheet Calculations
Perform basic calculations using spreadsheet tools.
Structured Data
Learn to organize and manage structured datasets.
Data Analysis
Analyze business data using spreadsheet functions.
Open Source Tools
Manage and process data using open-source platforms.
Data Visualization
Create graphs, charts and dashboards for reporting.
Java & Hadoop
Install Hadoop framework and understand Java basics.
Big Data
Manage large datasets efficiently using Hadoop.
Front-End Development
Build interactive interfaces for analytics projects.
Data Analytics Projects
Implement practical real-world analytics use cases.
Employability Skills
Communication, teamwork and interview preparation.
OJT / Project
Gain practical experience through industry projects.
Why Choose Our Institute?
There are so many reasons to choose us; one of the biggest reasons is that we have years of experience teaching students, and our trainers stay updated with the latest technologies and industry trends.
If you're looking for the best Junior Data Analyst Course in Chandigarh, HARTRON Advanced Skill Centre provides practical learning, expert guidance and career-focused training.
Enquire NowComplete Curriculum
Learn Spreadsheet, SQL, Hadoop, Big Data and Tableau.
Hands-on Training
Practical sessions and real-world projects for better learning.
Industry Tools
Hadoop, Tableau, SQL & Java with complete analytics exposure.
Expert Faculty
Experienced trainers from industry and academic backgrounds.
Placement Support
Resume building, interview preparation and career guidance.
Start Your Career as a Junior Data Analyst
If you are passionate about working as a Junior Data Analyst, solving real-world business problems and building a successful career in analytics, this programme is the perfect choice.
With structured learning, hands-on practical sessions, industry-oriented projects and expert faculty guidance, our 12-month Junior Data Analyst Course prepares you to become industry-ready with confidence.
Take the first step towards your professional journey today. Enrol in our upcoming batch and build the skills employers are looking for.
