- (5.0 Star)
Data Science Professional
Professional Diploma Training
We offer instructor-led online live virtual training and physical classroom training delivered by certified trainers and experienced industry professionals
- Get Up to 25% discount
About Course
Data Science Professional
Advanced Data Science, Machine Learning & Career-Focused Program
Offered by CloudNet India, Kolkata
Course Overview
The Data Science Professional (12 Months) program from CloudNet India, Kolkata is a comprehensive, industry-aligned career program designed to prepare learners for high-demand roles in Data Science, Machine Learning, and Advanced Analytics.
This program provides end-to-end data science expertise, starting from data analysis fundamentals to machine learning, advanced Python, statistics, and real-world data science projects. Learners gain hands-on experience using industry-standard tools and real datasets, making them job-ready for today’s data-driven organizations.
With structured placement support, this program is ideal for those aiming for long-term, high-growth careers in Data Science.
Who Can Join This Course?
This course is suitable for:
- Graduates & postgraduates (BSc, BCom, BCA, BE, BTech, BA, MBA, MCA)
- Working professionals from IT & Non-IT backgrounds
- Data Analytics professionals looking to upskill to Data Science
- Software developers & engineers
- Statistics, Mathematics & Engineering students
- Finance, marketing, operations & business professionals
- Entrepreneurs & startup professionals
- Anyone with basic computer knowledge and strong interest in data & AI
🔹 Prior programming experience is helpful but not mandatory
🔹 Strong logical thinking and curiosity to solve problems is recommended
Tools & Technologies Covered
- Python (Advanced)
- NumPy, Pandas
- Matplotlib, Seaborn
- SQL (MySQL / PostgreSQL)
- Machine Learning (Scikit-learn)
- Statistics & Probability
- Power BI / Tableau (for business insights)
- Model evaluation & optimization
- Real-world datasets & case studies
Key Skills You Will Gain
- Data cleaning, preprocessing & feature engineering
- Exploratory Data Analysis (EDA)
- Statistical analysis & hypothesis testing
- Supervised & unsupervised machine learning
- Model building, tuning & evaluation
- Business problem-solving using data
- Data storytelling & stakeholder communication
Job Roles After Completion
After completing the program, learners can apply for roles such as:
- Data Scientist
- Junior Data Scientist
- Machine Learning Engineer (Entry Level)
- Data Analyst (Advanced)
- Business Analyst (Data-Driven)
- Analytics Consultant
- AI / ML Associate
Practical Learning & Capstone Projects
- Hands-on labs for every module
- Real-world industry case studies
- Domain-based projects:
- Customer churn prediction
- Sales forecasting
- Credit risk & fraud analysis
- Recommendation systems
- Marketing campaign analytics
- End-to-end capstone project simulating real company scenarios
Placement Support from CloudNet India
CloudNet India provides structured and continuous placement assistance throughout the program:
- Resume & LinkedIn profile optimization
- Technical interview preparation (Python, ML, SQL, Statistics)
- Machine learning & case study interview questions
- Mock technical & HR interviews
- Soft skills & communication training
- Internship & live project support
- Placement referrals & job alerts
Placement support available for Kolkata & PAN-India opportunities
Certification
- CloudNet India – Data Science Professional Certificate
- Project & capstone completion certificates
- Guidance for global certification pathways
Why Choose CloudNet India, Kolkata?
- Industry-experienced data science trainers
- Career-focused & updated curriculum
- Strong hands-on & project-based learning
- Small batch sizes for personalized mentoring
- Classroom, Online & Hybrid learning options
- Proven track record in analytics & data training
Training Mode & Duration
- Duration: 12 Months
- Mode: Classroom (Kolkata) / Online / Hybrid
- Batch Options: Weekday & Weekend
Key Features
You will get 100% job Assurance and life time e-placement support
classed taken by globally certified trainers
You will get 3 year Dedicated placement support
Courses are globally recognized & accredited
Course Type:
Diploma Training
Live virtual classroom:
60,000/-
75,000/-
Regular classroom:
60,000/-
75,000/-
- Duration:
12 Months
- Enrolled:
77 Learners
- Eligibility:
10+2 / Any Graduate
- 5 Star:
19 Reviews
Data Science Professional Course
Module 1: Data Science Foundations
- Introduction to Data Science & AI
- Data Science vs Data Analytics vs ML
- Data Science lifecycle
- Types of data (structured & unstructured)
- Business problem understanding
- Industry use cases (Finance, Retail, Marketing, HR)
- Tools & environment setup
Module 2: Python Programming Fundamentals
- Python syntax & coding standards
- Variables, data types & operators
- Conditional statements & loops
- Functions & modules
- File handling
- Exception handling
Module 3: Python Data Structures
- Lists, tuples, sets
- Dictionaries
- Comprehensions
- Working with real datasets
- Performance best practices
Module 4: NumPy for Numerical Computing
- NumPy arrays
- Indexing & slicing
- Vectorized operations
- Mathematical & statistical functions
- Broadcasting
Module 5: Pandas for Data Analysis
- Series & DataFrames
- Importing data (CSV, Excel, SQL)
- Data cleaning & transformation
- Handling missing & duplicate data
- GroupBy & aggregation
- Merging & joining datasets
Mini Project: Data Cleaning & Preparation
Module 6: Data Visualization & EDA
- Matplotlib fundamentals
- Seaborn advanced visualizations
- Exploratory Data Analysis (EDA)
- Outlier detection
- Correlation analysis
- Data storytelling techniques
Project: Exploratory Data Analysis
Module 7: Statistics & Probability for Data Science
- Descriptive statistics
- Probability fundamentals
- Distributions (Normal, Binomial, Poisson)
- Central Limit Theorem
- Sampling techniques
- Hypothesis testing (Z, T, Chi-Square)
- Business decision-making using statistics
Module 8: SQL for Data Science
- Database concepts & RDBMS
- SQL queries (SELECT, WHERE, GROUP BY, HAVING)
- Joins & subqueries
- Window functions
- Data extraction for analytics & ML
- SQL interview problem solving
Project: SQL-Based Business Analysis
Module 9: Machine Learning – Supervised Learning
- Introduction to Machine Learning
- ML workflow
- Regression models
- Logistic regression
- KNN
- Decision Trees
- Random Forest
- Model evaluation metrics
Project: Predictive Analytics Model
Module 10: Machine Learning – Unsupervised Learning
- Clustering techniques (K-Means, Hierarchical)
- Dimensionality reduction (PCA)
- Association rule mining
- Anomaly detection
Project: Customer Segmentation
Module 11: Advanced ML & Feature Engineering
- Feature engineering techniques
- Feature selection
- Handling imbalanced datasets
- Ensemble learning (Bagging & Boosting)
- Hyperparameter tuning
- Model optimization
Project: Advanced ML Use Case
Module 12: Business Intelligence & Data Storytelling
- Power BI / Tableau overview
- Data modeling
- KPI design
- Interactive dashboards
- Executive & MIS reporting
- Business storytelling with data
Project: Business Dashboard
Module 13: Capstone Project (End-to-End)
Choose one:
- Customer churn prediction
- Sales forecasting
- Credit risk / fraud analysis
- Recommendation system
- Marketing analytics
✔ Problem definition | Data collection & cleaning | EDA & modeling | Business insights presentation
Module 14: Interview Preparation & Placement Support
- Python, SQL, ML interview questions
- Case study discussions
- Resume & LinkedIn optimization
- Mock technical & HR interviews
- Communication & presentation skills
- Placement referrals & career mentoring
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