📢 SBS Announcements: Upcoming batch starting soon on Data Analysis with AI Tools! | Special weekend analytics bootcamps open for registrations. | Download our latest syllabus & project curriculum guide.

Join the 12 weeks
Data Analysis Course
(Live Online / Offline)

Shape your career with SBS.
Unlock the power of Data.
Learn AI & digital skills to become future ready.

Why SBS

Why SBS

Learn, Practise, Build: A complete learning journey designed to turn data skills into career opportunities.

Industry Focused Curriculum
Learn Excel, SQL, Python & AI tools used in real world data Analysis.
Curriculum
Hands on learning
Practise with real datasets, assignments & business case studies.
Real Datasets
Beginner Friendly Approach
Start from fundamentals and gradually move to advanced concepts.
From Scratch
Portfolio development
Create projects you can showcase during interviews.
Live Portfolio
Assistance in CV making & interview preparation
Learn to create ATS friendly CV and get selected easily.
Career Prep
LEARN • BUILD • GET HIRED

Build Skills That Move Your Career Forward

Master the exact data tools industry leaders use daily — from Advanced Excel and SQL to Python and AI analytics.

DATA ANALYTICS + AI

Data Analysis with AI Tools

Master Python, SQL, Advanced Excel and GenAI tools for end-to-end business intelligence and data-driven decision making.

SALES PERFORMANCE
$1.2M +18%
AI Insight: +18% growth anomaly
ADVANCED EXCEL

Advanced Excel

Master nested formulas, automated VBA macros, and executive financial dashboards.

fx
=SUM(B2:B8) * (1 + D$1)
JAN
FEB
MAR
APR
A
120
145
160
178
B
90
110
125
141
C
70
92
105
132
Formula Applied: Dynamic Pivot Grid
SQL & DATABASES

SQL & Relational Databases

Learn relational database design, indexing, multi-table joins, and query optimization.

USERS
🔑 id
name
ORDERS
🔑 id
âš¡ user_id
total
SELECT name, SUM(total) FROM users JOIN orders... 200 OK
Query Executed: 124 rows in 12ms
PYTHON & PANDAS

Python for Data Analysis

Write clean Python code with NumPy, Pandas DataFrames, and automated data visualization.

analysis.py Running
import pandas as pd
df = pd.read_csv("sales.csv")
df.groupby("region")["revenue"].sum()
North: ₹84K South: ₹72K East: ₹95K ↑
Pandas: DataFrame Ready (1,420 rows)
Knowledge Hub

Latest Insights & Analytics Trends

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