Courses

IBM Business Data Analytics

Shikshaa Simple Learn offers a practical Data Analytics course in Madurai designed for students, graduates, and working professionals who want to build career-ready analytical and reporting skills. Learn how businesses collect, organise, analyse, and interpret data using tools including Excel, SQL, Power BI, and Python through hands-on training, real datasets, and portfolio-oriented learning.

The course follows an IBM-aligned Data Analytics curriculum, helping students understand how data is transformed into reports, dashboards, and business insights used in real-world decision-making environments. The training structure is beginner-friendly and suitable for both technical and non-technical learners.

What You Will Learn

Excel for Data Analysis

Learn how data is organised, cleaned, filtered, analysed, and reported using Microsoft Excel. Students work with formulas, pivot tables, charts, dashboards, lookup functions, and reporting workflows commonly used across business environments.

SQL and Database Management

Understand how structured data is stored, retrieved, and managed using SQL. Learn database concepts, queries, joins, filtering, aggregation, and reporting techniques used in business analytics and data management roles.

Power BI and Data Visualization

Learn how businesses convert raw data into dashboards, reports, and actionable insights using Power BI. Students build interactive visualisations, KPI dashboards, reporting systems, and business intelligence reports using practical datasets.

Python for Data Analytics

Understand how Python supports data analysis, automation, and reporting workflows. Students gain exposure to data handling, basic analytical programming concepts, and structured data operations used in analytics environments.

Data Cleaning and Reporting

Learn how analysts prepare datasets before reporting and interpretation. Students work on data formatting, validation, consistency checking, and reporting practices that improve business decision-making accuracy.

Business Analytics and Interpretation

Understand how organisations use analytics to monitor performance, identify trends, measure outcomes, and support operational decisions across sales, finance, marketing, and customer management functions.

Analytics Projects and Dashboard Development

Students work on practical analytics projects throughout the training, including:

Sales performance dashboard
Customer insights reporting
HR analytics dashboard
Excel reporting projects
SQL-based reporting exercises
Power BI visualisation projects

These projects help students build practical reporting and analytical experience while creating a portfolio for interviews and placements.

How You Will Learn Data Analytics

Practical Dataset-Based Training

Students learn through structured implementation using real datasets, reporting exercises, dashboard creation, and analytics workflows rather than theory-focused sessions alone.

Beginner-Friendly Learning Structure

The course starts from fundamentals and progresses step by step, making it suitable for students from both technical and non-technical backgrounds.

Business-Oriented Analytics Approach

The training focuses not only on tools, but also on how businesses interpret data for reporting, tracking, forecasting, and decision-making.
Portfolio-Oriented Learning

Students build dashboards, reports, and analytical projects throughout the course that can be presented during interviews and placement discussions.

Real-World Tool Exposure

Gain practical exposure to tools and platforms commonly used in analytics and reporting environments including:

Microsoft Excel
SQL
Power BI
Python
Reporting and dashboard tools
Flexible Batch Options

Weekday and Saturday batches are available for college students, graduates, and working professionals.

Who Can Join This Course

This course is suitable for students and professionals from commerce, arts, science, engineering, management, and non-technical backgrounds.

Whether you want to begin a career in Data Analytics, improve your reporting skills, transition into analytical roles, or build business intelligence expertise, the course is designed to support progressive practical learning with industry-relevant exposure.

Career Opportunities After Data Analytics

After completing the course, students can apply for roles such as:

Data Analyst
Business Analyst
Reporting Analyst
MIS Executive
Data Processing Executive
Power BI Developer
Junior Analytics Associate

Companies across IT services, finance, healthcare, retail, operations, education, and business consulting actively hire professionals with practical analytics and reporting skills.

Placement Support

Shikshaa Simple Learn provides placement-oriented support to help students prepare for Data Analytics and reporting-related roles.

Placement support includes:

Resume and portfolio guidance
Dashboard presentation preparation
SQL and Power BI interview preparation
Mock interview sessions
Reporting project reviews
Career guidance and job updates

Students are guided on how to explain dashboards, present analytical findings, and discuss reporting workflows confidently during interviews.

Student Project Experience

“Working on dashboards and reporting projects during the training helped me understand how analytics is actually used inside businesses. The practical sessions made interviews much easier to approach.”
— Preethi
Data Analytics Student

Frequently Asked Questions

Is Data Analytics a good career option for beginners?

Yes. Data Analytics is one of the fastest-growing career fields across Tamil Nadu and India. Many companies actively hire freshers with practical skills in Excel, SQL, Power BI, reporting, and dashboard development.

Do I need coding knowledge to learn Data Analytics?

No. The course is structured for beginners and does not require prior programming knowledge. Students learn concepts progressively through practical implementation and guided exercises.

What tools are covered in the Data Analytics course?

Students gain practical exposure to:

Microsoft Excel
SQL
Power BI
Python
Reporting and dashboard tools

Is Data Analytics suitable for commerce and non-IT students?

Yes. Many commerce, arts, science, and management students successfully transition into Data Analytics roles through structured practical learning and reporting-based training.

What is the salary of a Data Analyst in Tamil Nadu?

Freshers entering Data Analytics roles in Tamil Nadu commonly start between ₹3 LPA and ₹5.5 LPA depending on technical skills, project experience, and tool proficiency. Candidates with strong Power BI, SQL, and reporting skills often see faster career growth across analytics and business intelligence roles.

Will I work on real datasets during the training?

Yes. Students work on practical datasets, reporting exercises, dashboard projects, and analytics workflows throughout the course.

What is the difference between Data Analytics and Data Science?

Data Analytics focuses on reporting, dashboards, business insights, and interpretation of existing data. Data Science typically involves advanced machine learning, predictive modelling, and algorithm development.

Is Excel enough to start learning Data Analytics?

Excel is one of the foundational tools used in Data Analytics. However, modern analytics roles also commonly require SQL, Power BI, reporting skills, and data visualisation knowledge.

What certificate will I receive after completing the course?

Students receive a Data Analytics certification from Shikshaa Simple Learn after successfully completing the training program.