Architect Evidence-Based Decisions. The Best Applied Data Science Course in Ahmedabad.
Banks, retailers, and product teams hire analysts who ship SQL queries, clean datasets in pandas, train scikit-learn models, and explain results on Power BI dashboards — not just theory slides. We train you on the applied stack Indian employers list for data analyst, business analyst, and junior data scientist roles.
Choose Your Learning Mode
Exclusive Program Benefits
- After the course, Bascom Bridge will share 10–12 sample CVs to help build your resume.
- Students receive a license for Bascom Bridge’s placement mobile app*.
- Lifetime access* to the enrolled course for students.
- If a student does not clear interviews, Bascom Bridge will provide retraining* until employment is secured.
- Global certification training is included at no extra cost.
- Discount on global certification fees* available.
- Hands-on Jupyter labs with real datasets from retail, banking, and operations domains.
- End-to-end capstone: ML model plus executive dashboard reviewed before placement season*.
Applicable taxes will be added to each instalment.
Trusted by Government of India & Leading PSUs
About Applied Data Science
Enterprise Tools Included
- Python 3.12+ with JupyterLab & Anaconda
- NumPy, Pandas, Matplotlib & Seaborn
- Scikit-learn for supervised & unsupervised ML
- SQL — PostgreSQL / MySQL for analytics queries
- Power BI for business intelligence storytelling
Cognitive Prerequisites
- Graduate in engineering, commerce, or science (statistics exposure helpful)
- Core Python or equivalent programming fundamentals
- Comfort with Excel pivot tables and basic charts
- Curiosity for data-driven decisions in business contexts
Salary Progression (₹)
- Entry-Level (0-3 yrs)₹4.5L - ₹9.0L
- Mid-Level (4-7 yrs)₹10.0L - ₹18.0L
- Senior Level (8-12+ yrs)₹19.0L - ₹32.0L+
The Enterprise Capstone Architecture
Customer Churn Intelligence for a Digital Services Provider. You will ingest transactional and support-ticket data via SQL, engineer features in pandas, train and tune a classification model in scikit-learn with proper validation, document precision/recall trade-offs, and publish a Power BI executive dashboard with segment-level churn risk — the portfolio artifact analytics hiring managers expect from applied data science graduates.
Deep-Dive Syllabus Grid
Module 1: Data Science Landscape & Analytics Mindset
Module 2: Python for Data — NumPy & Pandas Foundations
Module 3: Exploratory Data Analysis & Visualization
Module 4: Statistics for Applied Machine Learning
Module 5: SQL for Data Extraction & Feature Engineering
Module 6: Supervised Learning with Scikit-learn
Module 7: Unsupervised Learning & Segmentation
Module 8: Model Evaluation, Tuning & Imbalanced Data
Module 9: Business Intelligence with Power BI
Module 10: Feature Pipelines, Documentation & MLOps Awareness
Module 11: Capstone Delivery & Interview Readiness
Top private enterprises we train across India






















