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

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

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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